WO2015061582A2 - System and method for navigating x-ray guided breast biopsy - Google Patents

System and method for navigating x-ray guided breast biopsy Download PDF

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WO2015061582A2
WO2015061582A2 PCT/US2014/061994 US2014061994W WO2015061582A2 WO 2015061582 A2 WO2015061582 A2 WO 2015061582A2 US 2014061994 W US2014061994 W US 2014061994W WO 2015061582 A2 WO2015061582 A2 WO 2015061582A2
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image
breast
images
region
imaging
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French (fr)
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Andrew P. Smith
Julian Marshall
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Priority to JP2016526115A priority Critical patent/JP2016533803A/ja
Priority to CN201911020099.0A priority patent/CN110870778B/zh
Priority to EP14855181.5A priority patent/EP3060132B1/en
Priority to US15/031,396 priority patent/US11364005B2/en
Priority to CN201480058064.5A priority patent/CN106170255A/zh
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Priority to EP19213173.8A priority patent/EP3646798B1/en
Priority to KR1020167010305A priority patent/KR102340594B1/ko
Priority to AU2014339982A priority patent/AU2014339982B2/en
Priority to EP23199647.1A priority patent/EP4278977A3/en
Publication of WO2015061582A2 publication Critical patent/WO2015061582A2/en
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Priority to US17/745,189 priority patent/US12029602B2/en
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/502—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of breast, i.e. mammography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/04—Positioning of patients; Tiltable beds or the like
    • A61B6/0407—Supports, e.g. tables or beds, for the body or parts of the body
    • A61B6/0414—Supports, e.g. tables or beds, for the body or parts of the body with compression means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A61B10/02—Instruments for taking cell samples or for biopsy
    • A61B10/0233—Pointed or sharp biopsy instruments
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/025—Tomosynthesis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/461—Displaying means of special interest
    • A61B6/463—Displaying means of special interest characterised by displaying multiple images or images and diagnostic data on one display
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/481—Diagnostic techniques involving the use of contrast agents
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/48—Diagnostic techniques
    • A61B6/482—Diagnostic techniques involving multiple energy imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
    • A61B6/5235—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from the same or different ionising radiation imaging techniques, e.g. PET and CT
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A61B10/0041—Detection of breast cancer
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/461—Displaying means of special interest
    • A61B6/465—Displaying means of special interest adapted to display user selection data, e.g. graphical user interface, icons or menus

Definitions

  • BIOPSY This application is being filed on 23 October 2014, as a PCT Internationa] patent application, and claims priority to U.S. Provisional Patent Application No. 61/894,947, filed October 24, 2013, the disclosure of which is hereby incorporated by reference herein in its entirety.
  • Mammography is a well-established method of breast imaging which may be used for breast cancer screening and diagnosis. Screening mammograms are preferably obtained annually for female members of the population over the age of forty, or those having a genetic risk of breast cancer. Should masses or calcifications ("regions of interest") be identified during a screening mammogram, the patient may require further diagnosis. Such diagnosis may involve biopsying the region of interest and analyzing excised tissue. As used herein, the term "region of interest" can mean a mass or calcification, or a specific area or target within the breast that may contain such a mass or calcification.
  • the imaging modalities include ultrasound imaging, x-ray imaging and magnetic resonance imaging.
  • Performing a breast biopsy typically involves positioning the patient, visualizing the region of interest using the imaging equipment, targeting coordinates of the region and retrieving cells or tissue from the targeted region.
  • Cells or tissue may be retrieved in a variety of ways, including through open surgery, fine needle aspiration, core needle biopsy or vacuum assisted biopsy.
  • Open surgery the most invasive procedure, is generally performed by a radiologist placing a wire into the breast during visualization of the region of interest, where the wire extends into the region that is to be excised. The patient is then transferred to surgery and tissue is retrieved using the wire to locate the region of interest.
  • X-ray imaging in stereotactic mode is generally used for breast biopsies because it is desirable to visualize and target regions in a three dimensional volume.
  • Stereotactic biopsies obtain volume information using x-ray images taken in at least two planes. The x-ray images are then processed to localize a target region of interest in three-dimensional space using the principal of parallax to determine the depth, or Z dimension, of the target region.
  • targeting and biopsying of a lesion or feature of interest in a breast is facilitated by presenting a synthesized mammogram (e.g., for pre- verification, post-verification, or both) to a user in which the synthesized mammogram can be generated from 2D and/or 3D images (e.g., projection and/or reconstructed tomosynthesis images) of the breast.
  • a biopsy window is optionally included in the user interface to indicate to a user whether the lesion or feature of interest has been correctly targeted.
  • the lesion or feature of interest can be highlighted or featured in the synthesized mammogram.
  • a user can optionally select the lesion or feature of interest in the user interface and then the user can be taken to a relevant slice in the tomo stack (e.g., one the presents the lesion or feature of interest best or one that is right above or below the slice in the tomo stack that best presents the lesion or feature of interest.
  • a relevant slice in the tomo stack e.g., one the presents the lesion or feature of interest best or one that is right above or below the slice in the tomo stack that best presents the lesion or feature of interest.
  • an indication can be provided to the user if a lesion or feature of interest is not presented in the synthesized mammogram.
  • a contrast agent in conjunction with or alternatively to dual energy imaging in which the imaging is 2D, 3D, or both.
  • the contrast image, dual energy image, or high energy image is then presented to the user to target and commence biopsy of the lesion or feature of interest.
  • the acquired images are 3D images (used with a contrast agent and/or dual energy)
  • a synthesized mammogram can be presented to the user.
  • the technology relates to a method of performing a procedure on a breast of a patient, the method includes: compressing the breast of the patient with a paddle of an imaging system; performing an initial imaging procedure on the breast of the patient, wherein the initial imaging procedure includes imaging the breast with an x-ray source at a first energy to obtain a first image and a second energy to obtain a second image; generating a composite image from the first image and the second image; displaying the composite image; targeting a region of interest on the composite image; and performing a biopsy on a target location.
  • the method includes using information from the composite image to define the target location.
  • the method further includes, after performing the biopsy on the target location, imaging the breast with the x-ray source at a third energy to obtain a third image.
  • the method for targeting the region of interest includes: identifying the region of interest visible in the first image; and correlating the region of interest with a reference object visible in the second image.
  • the method further includes locating an indicator proximate the region of interest on the composite image.
  • the method further includes storing coordinates of the region of interest. In an embodiment, the method further includes positioning a biopsy needle based at least in part on the stored coordinates. In another embodiment, the method includes injecting the patient with a contrast agent prior to imaging at the first energy, such that the contrast agent is visible in the first image. In yet another embodiment, the first energy is greater than the second energy. In still another embodiment, the composite image is at least one of a 2D image, a 3D image, and a synthesized 2D image.
  • the composite image includes a plurality of tomosynthesis images.
  • the method further includes simultaneously displaying the first image and the second image.
  • the method further includes displaying an overlay of the first image and the second image.
  • the technology relates to a method of performing a procedure on a breast of a patient, the method includes: compressing the breast of the patient with a paddle of an imaging system; imaging the breast with an x-ray source at a first energy to obtain a first image; imaging the breast with the x-ray source at a second energy to obtain a second image; identifying at least one difference between the first image and the second image, wherein the difference corresponds to a region of interest; and performing a biopsy on the region of interest.
  • the method includes: generating a composite image from the first image and the second image; displaying the composite image; and displaying the region of interest on the composite image.
  • the first energy is greater than the second energy.
  • the method further includes injecting the patient with a contrast agent prior to imaging the breast at the first energy.
  • the method further includes, after performing the biopsy, imaging the breast with the x-ray source at a third energy to obtain a third image.
  • the method further includes displaying the third image.
  • the technology in another aspect, relates to a method of performing a procedure on a breast of a patient, the method includes: compressing the breast of the patient with a paddle of an imaging system; delivering a plurality of x-ray energies to the breast from an x-ray source, so as to obtain a plurality of images; identifying at least one difference between the plurality of images, wherein the difference corresponds to a region of interest; displaying at least one image of the breast; identifying the region of interest on the displayed image; and performing a biopsy on the region of interest.
  • FIG. 1 is a block diagram illustrating the flow of data through a system that includes a combination mammography/tomosynthesis acquisition system and/or a tomosynthesis-only acquisition system to acquire tomosynthesis and/or mammography (including contrast mammography) images of a patient's breast, and further includes one or more processors that implement the image merge technology of the presently disclosed technologies for providing a two dimensional synthesized image by importing the most relevant data from the acquired 2D and/or 3D source images into a single merged 2D image for display to a medical professional;
  • FIG. 2 is a diagram illustrating the data flow of a series of tomosynthesis slices and a synthesized 2D mammogram through the image merge technology of the presently disclosed technologies to generate a merged image and a corresponding merge (or "guidance") map;
  • FIG. 3 depicts one embodiment of a displayed merged image, wherein certain region boundaries are dynamically identified during merge image build;
  • FIG. 4 is a flow diagram illustrating exemplary steps performed during an image merge process according to one embodiment of the presently disclosed technologies
  • FIGS. 5A and 5B illustrate one embodiment of a display of a merged image, and a resultant display of a source image in response to selection of a region in the merged image by a user;
  • FIG. 6 is flow diagram illustrating an exemplary process for retrieving and presenting a reconstructed tomosynthesis image slice in response to user-selection of an object of interest in a synthesized 2D image, according to one embodiment of the presently disclosed technologies;
  • FIG. 7 is a flow diagram illustrating another exemplary process for retrieving and presenting a reconstructed tomosynthesis image slice in response to user-selection of an object of interest in a synthesized 2D image, according to another embodiment of the presently disclosed technologies;
  • FIG. 8 is a flow diagram illustrating a process for constructing a composite index map of a synthesized 2D image to a corresponding reconstructed tomosynthesis image stack, according to still another embodiment of the presently disclosed technologies;
  • FIG. 9 depicts an exemplary user interface, including a left-hand side monitor displaying a synthesized 2D image of a patient's breast, including a highlighted tissue structure, wherein the highlighting is in the form of a contour line that represents a boundary of the highlighted tissue structure, and a right-hand side monitor displaying the tomosynthesis image from which the highlighted tissue structure was imported into the 2D image, or which otherwise provides a best view of the highlighted tissue structure;
  • FIG. 10 depicts the user interface of FIG. 9, again displaying a synthesized 2D image of a patient's breast including a highlighted spiculated mass in the left-hand monitor, and a right-hand side monitor displaying the tomosynthesis image from which the depicted spiculated mass was imported into the 2D image, or which otherwise provides a best view of the spiculated mass;
  • FIG. 1 1 depicts the user interface of FIG. 10, including the same breast image displayed in the left-hand side monitor, but now highlighting a region containing micro- calcifications, with the right-hand side monitor displaying the tomosynthesis image from which the highlighted region containing the micro- calcifications was imported into the 2D image, or which otherwise provides a best view of the micro-calcifications;
  • FIG. 12 is a flow diagram illustrating exemplary steps that may be performed during a biopsy using the targeting and presentation systems of the present technology
  • FIG. 13 illustrates an exemplary view of a user interface of the control unit of an image-guided biopsy system of the present technology
  • FIG. 14 illustrates an exemplary view of a user interface of an acquisition work station including functional modules and displays supporting and related to an image-guided biopsy in accordance with an embodiment of the present technology
  • FIG. 15 illustrates an exemplary view of a portion of a user interface of an acquisition work station related to an image-guided biopsy according to an embodiment of the present technology
  • FIG. 16 illustrates possible combinations of imaging modes of a system in accordance with an embodiment of the present technology
  • FIG. 17 illustrates possible combinations of imaging modes of a system according to an embodiment of the present technology, such as one that only takes 2D images;
  • FIG. 18 illustrates possible combinations of imaging modes of a system in accordance with an embodiment of the present technology, such as one that only takes 3D images;
  • FIG. 19 depicts a method of performing a procedure on a breast of a patient.
  • a single system carries out breast imaging in modes that include standard mammography, diagnostic mammography, dynamic imaging such as with a contrast agent and at different x-ray energies, tomosynthesis imaging, combined standard and tomosynthesis imaging during a single breast compression, tomosynthesis guided biopsies, biopsies guided by synthesized mammograms, biopsies guided by dynamic imaging, and stereotactic imaging with a biopsy station mounted to the system.
  • a compression arm assembly for compressing and immobilizing the breast for x-ray imaging, an x-ray tube assembly, and an x-ray image receptor can be angled relative to each other for different imaging protocols and modes. They can be independently rotated and synchronized as needed, or can be mechanically linked for appropriate synchronized rotation.
  • a patient shield can be optionally mounted to the compression arm assembly to provide a mechanical interlock against patient contact with the rotating x-ray tube assembly.
  • An anti-scatter grid can be used that can cover the imaging area of the x- ray receptor in some or all of the modes but can be configured to be retracted completely outside the imaging area for other modes.
  • Mp refers to a conventional mammogram or contrast enhanced mammogram, which are two-dimensional (2D) projection images of a breast, and encompasses both a digital image as acquired by a flat panel detector or another imaging device, and the image after conventional processing to prepare it for display and/or storage or other use.
  • Tp refers to an image that is similarly two- dimensional (2D), but is acquired at a respective tomosynthesis angle between the breast and the origin of the imaging x rays (typically the focal spot of an x-ray tube), and encompasses the image as acquired, as well as the image data after being processed for display and/or storage or other use.
  • Tr refers to an image that is reconstructed from tomosynthesis projection images Tp, for example, in the manner described in one or more of U.S. Patent Application Publication No. 2010/0135558, U.S. Patent Nos. 7,760,924, 7,606,801 , and 7,577,282, and PCT International Patent Publication Nos. 2013/078476 and 2013/123091 , the disclosures of which are fully incorporated by reference herein in their entirety, wherein a Tr image represents a slice of the breast as it would appear in a projection x ray image of that slice at any desired angle, not only at an angle used for acquiring Tp or Mp images.
  • Ms refers to synthesized 2D images, which simulate mammography images, such as a craniocaudal (CC) or mediolateral oblique (MLO) images, and are constructed using tomosynthesis projection images Tp, tomosynthesis reconstructed images Tr, or a combination thereof. Examples of methods that may be used to generate Ms images are described in the above-incorporated U.S. Patent Application Publication No. 2010/0135558, U.S. Patent No. 7,760,924, and PCT International Patent Publication Nos. 2013/078476 and 2013/123091.
  • IMERGE refers to a 2D image constructed by importing into a single image one or more objects and/or regions from any two or more of Mp, Ms, Tp or Tr images of a patient's breast, wherein an image from which an object or region is imported into the merged image comprises a source image for that object or region, and wherein objects or regions are imported into the merged image at X,Y coordinate locations corresponding to the X,Y coordinate locations of the objects or regions in their respective source image.
  • IMERGE, Tp, Tr, Ms and Mp each encompasses information, in whatever form, that is sufficient to describe the respective image for display, further processing, or storage.
  • the respective IMERGE, Mp, Ms. Tp and Tr images are typically provided in digital form prior to being displayed, with each image being defined by information that identifies the properties of each pixel in a two-dimensional array of pixels.
  • the pixel values typically relate to respective measured, estimated, or computed responses to x rays of corresponding volumes in the breast, i.e., voxels or columns of tissue.
  • the geometry of the tomosynthesis images (Tr and Tp), mammography images (Ms and Mp) and the merged image IMERGE are matched to a common coordinate system, as described in U.S. Patent No. 7,702, 142, the disclosure of which is hereby incorporated by reference in its entirety. Unless otherwise specified, such coordinate system matching is assumed to be implemented with respect to the embodiments described in the ensuing detailed description of this patent specification.
  • FIG. 1 illustrates the flow of data in an exemplary image generation and display system, which incorporates the merged image generation and display technology and features of the presently disclosed technologies. It should be understood that, while FIG. 1 illustrates a particular embodiment of a flow diagram with certain processes taking place in a particular serial order or in parallel, various other embodiments of the presently disclosed technologies are not limited to the performance of the image processing steps in any particular order, unless so specified.
  • the image generation and display system includes an image acquisition system 1 that acquires tomosynthesis image data for generating Tp images of a patient's breasts, using the respective three dimensional and/or tomosynthesis acquisition methods of any of the currently available systems.
  • the acquisition system is a combined tomosynthesis/mammography system
  • Mp images may also be generated.
  • Some dedicated tomosynthesis systems or combined tomosynthesis/ mammography systems may be adapted to accept and store legacy mammogram images, (indicated by a dashed line and legend Mplegacy in FIG. 1) in a storage device 2, which is preferably a DICOM-compliant Picture Archiving and Communication System (PACS) storage device.
  • PPS Picture Archiving and Communication System
  • the Tp images are transmitted from either the acquisition system 1 , or from the storage device 2, or both, to a computer system configured as a reconstruction engine 3 that reconstructs the Tp images into reconstructed image "slabs" Tr, representing breast slices of selected thickness and at selected orientations, as disclosed in the above-incorporated patents and application publication.
  • the imaging and display system 1 further includes a 2D synthesizer that operates substantially in parallel with the reconstruction engine for generating 2D images that simulate mammograms taken at any orientation (e.g., CC or MLO) using a combination of one or more Tp and/or Tr images.
  • the synthesized 2D images may be generated dynamically prior to display (as shown in FIG. 1) or may be stored in storage system 2 for later use.
  • the synthesized 2D images are interchangeably referenced as T2d and Ms.
  • the reconstruction engine 3 and 2D synthesizer are preferably connected to a display system 5 via a fast transmission link.
  • the originally acquired Mp and/or Tp images may also be forwarded to the display system 5 for concurrent or toggled viewing with the respective Tr and/or Ms images by a medical professional.
  • Mode filters 7a, 7b are disposed between image acquisition and image display.
  • Each of the filters 7a and 7b may additionally include customized filters for each type of image (i.e., Tp, Mp, Tr) arranged to identify and highlight certain aspects of the respective image types. In this manner, each imaging mode can be tuned or configured in an optimal way for a specific purpose.
  • the tuning or configuration may be automatic, based on the type of the image, or may be defined by manual input, for example through a user interface coupled to a display.
  • the filters 7a and 7b are selected to highlight particular characteristics of the images that are best displayed in the respective imaging mode, for example, geared towards highlighting masses or calcifications, or for making the merged image (described below) appear to be a particular image type, such as a 3D reconstructed slice, or a 2D mammogram.
  • the system 1 includes an image merge processor 6 that merges relevant image data obtained from a set of available source and synthesized images of a patient's breast to provide a merged 2D image IMERGE for display.
  • the set of available images used to generate the merged image IMERGE may include filtered and/or unfiltered Ms, Mp, Tr and/or Tp images. While FIG. 1 depicts all these types of images being input into the image merge processor 6, it is also envisioned within the scope of the disclosed technologies that the merged mage may be manually configurable. For example, a user interface or preset configuration may be provided and configured to allow a user to select a particular group of two or more images or image types for generating a synthesized 2D image IMERGE for display.
  • a medical professional such as a radiologist, may wish to merge two or more reconstructed tomosynthesis slices (or slabs) in order to provide a merged image showing the most readily discerned structures in the collective tomosynthesis image data in a displayed synthesized 2D image, which essentially maps the tomosynthesis slices (or slabs) at a pixel wise granularity.
  • the radiologist may combine a 2D mammogram image, whether Mp or Ms, with a 3D projection, or with selected reconstructed images, in order to obtain a customized merged image that highlights both calcifications and various tissue structures in the breast.
  • Filters applied to each type of image can further highlight the types of structures or features in the merged image that are generally most prevalent or most readily discerned in the respective source image type.
  • one type of filter may be applied to mammography images to highlight calcifications, while a different filter may be applied to tomosynthesis slices to highlight masses, allowing both the highlighted calcifications and highlighted tissue masses to be displayed in the single merged image.
  • Filters may also provide the merged image with a desired look and feel; i.e., to make the merged image appear more like a tomosynthesis or mammography image.
  • the display system 5 may be part of a standard acquisition workstation (e.g., of acquisition system 1 ), or of a standard (multi-display) review station that is physically remote from the acquisition system 1.
  • a standard acquisition workstation e.g., of acquisition system 1
  • a standard (multi-display) review station that is physically remote from the acquisition system 1.
  • a display connected via a communication network may be used, for example, a display of a personal computer or of a so-called tablet, smart phone or other hand-held device.
  • the display 5 of the system is preferably able to display IMERGE, Ms, Mp and Tr (and/or Tp) images concurrently, e.g., in separate side-by-side monitors of a review workstation, although the technology may still be implemented with a single display monitor, by toggling between images.
  • Tr slices are preferably reconstructed all to the same size for display, which can be the same as the size of an Mp or Ms image of the breast, or they can be initially reconstructed to sizes determined by the fan shape of the x ray beam used in the acquisition, and then later converted to that same size by appropriate interpolation and/or extrapolation. In this manner, images of different types and from different sources can be displayed in desirable size and resolution.
  • an image can be displayed in (1) Fit To View Port mode, in which the size of the displayed image size is maximized such that the entire imaged breast tissue is visible, (2) True Size mode, in which a display pixel on the screen corresponds to a pixel of the image, or (3) Right Size mode, in which the size of a displayed image is adjusted so that it matches that of another image being concurrently displayed, or with which the displayed image is, or can be, toggled.
  • the system 1 which is described as for purposes of illustration and not limitation in this patent specification, is capable of receiving and displaying selectively tomosynthesis projection images Tp, tomosynthesis reconstruction images Tr, a synthesized mammogram image Ms, and/or mammogram (including contrast mammogram) images Mp, or any one or sub combination of these image types.
  • the system 1 employs software to convert (i.e., reconstruct) tomosynthesis images Tp into images Tr, software for synthesizing mammogram images Ms, and software for merging a set of images to provide a merged image that displays, for every region of the merged image, the most relevant feature in that region among all images in the source image set.
  • an object of interest or feature in a source image may be considered a 'most relevant' feature for inclusion in the merged image based upon the application of one or more CAD algorithms to the collective source images, wherein the CAD algorithms assign numerical values, weights or thresholds, to pixels or regions of the respective source images based upon identified/detected objects and features of interest within the respective region or between features or, in instances when the merged image is generated directly from the synthesized image without CAD assistance, simply the pixel value, weight or other threshold associated with a pixel or region of the image.
  • the objects and features of interest may include, for example, spiculated lesions, calcifications, and the like.
  • FIG. 2 is a diagram which pictorially illustrates the merging of image data from a tomosynthesis reconstruction image data set Tr, comprising tomosynthesis slices 10A to ION, with image data from a mammogram 20, in this case a synthesized mammogram Ms.
  • Tr tomosynthesis reconstruction image data set
  • Ms synthesized mammogram
  • the tomosynthesis image data set Tr and synthesized mammogram Ms are forwarded to the region compare and image merge processor 6, which evaluates each of the source images for which a merged image is to be generated (i.e., whether automatically, or based on a specific user commend) in order to (1) identify the objects and features of interest in each image for those that may be considered a "most relevant" feature for possible inclusion in the merged image based upon the application of one or more CAD algorithms (as described above), (2) identifies respective pixel regions in the images that contain the identified features, and (3) thereafter compares the images on a region by region basis, searching for that image with the most desirable display data for each respective region.
  • the region compare and image merge processor 6 evaluates each of the source images for which a merged image is to be generated (i.e., whether automatically, or based on a specific user commend) in order to (1) identify the objects and features of interest in each image for those that may be considered a "most relevant" feature for possible inclusion in the merged image based
  • the image with the most desirable display data may be an image with a highest pixel value, a lowest pixel value, or which has been assigned a threshold value or weight based on the application of a CAD algorithm to the image.
  • the pixels of that region are copied over, or added in with higher weight, to the corresponding region of the merged image. For example, as shown in FIG. 2, region 36M from image Ms is written to region 361. Region 35 of tomosynthesis slice 10A is copied to region 351 of the merged image.
  • the regions of FIG. 2 are shown as pre-defined grid regions, it is not necessary that regions be predefined in this manner. Rather, according to one aspect of the disclosed
  • FIG. 3 illustrates a merged image 50, which has been constructed via the combinations of numerous regions of different source images, at arbitrary region boundaries, for example, which may be identified according to the detection of particular features within the respective source images.
  • FIG. 4 is a flow diagram provided to illustrate exemplary steps that may be performed in an image merge process carried out in accordance with one embodiment of the disclosed technologies.
  • an image data set is acquired.
  • the image data set may be acquired by a tomosynthesis acquisition system, a combination tomosynthesis/mammography system, or by retrieving pre-existing image data from a storage device, whether locally or remotely located relative to an image display device.
  • a user may optionally select a merge mode, wherein the user may designate (1) which images are to be used for the source image set to generate the merged image, (2) whether to highlight certain features in the merged image, such as calcifications, spiculated lesions or masses, and (3) whether to display the image as a lower resolution tomosynthesis image, etc.
  • the images that are to be merged to generate the merged image are mapped to a common coordinate system, for example, as described in the above-incorporated U.S. Patent No. 7,702, 142. Other methods of matching images of different coordinate systems may alternatively be used.
  • the process of comparing regions among the different images begins.
  • each IMERGE region is populated with the pixels of the region of an image from the source image set having the most desirable pixels, value, or pattern. The process of populating regions continues until it is determined, at step 76, that all regions have been evaluated, at which point the merged image is ready for display.
  • FIG. 5A and Fig. 5B illustrate two views of a display 80.
  • the first view of display 80 shown in FIG. 5A illustrates a merged image 82, having regions sourced by different ones of an acquired or synthesized image set.
  • FIG. 5B illustrates a particular feature enabled by the presently disclosed technologies, whereby a user may select a region or area 83 within the merged image 82, and the resulting image source 84 for that area is presented to the user.
  • the presently disclosed technologies envision many different mechanisms for selection of the objects of interest and corresponding display of the respective source images corresponding; although it is to be understood that the disclosed technologies are not limited to those described herein.
  • the selection of a region or area within the merged image may include a selection of a CAD mark, or alternatively a selection of a particular feature of interest to the reviewer.
  • the most relevant slices are made available to the user, the mechanics behind the processes differ.
  • One such preferred mechanism is illustrated in FIG. 2.
  • a merge (or "guidance") map 40 is also constructed.
  • the merge map stores, for each region of the merged image, an identifier of the image from which the region is sourced.
  • the Ms identifier is stored in region 36, while the 10A TR slice identifier is stored in region 35.
  • the merged map may be used during the display of the merged image to permit fast viewing of the respective source image(s) for user-selected regions or objects of interest.
  • the CAD overlay may include either CAD marks derived from 3D data, or CAD marks derived from 2D data (if the system has the ability to obtain 2D data).
  • CAD marks derived from 3D data generally include, as part of the data object associated with the mark, identifiers of one or more slices which contributed to the generation of the 3D mark.
  • selection of the CAD mark results in the retrieval of the series of slices that contributed to the mark.
  • the central image slice is displayed; in alternate embodiments, the image slice having the highest weight is displayed; and in a still further alternate embodiment, the image slice having the least visual noise (i.e., the clearest image) is displayed.
  • a mechanism for allowing a user to select any object on a merged image, whether it is a CAD mark, or a feature of interest, such as any abnormality or irregularity in the image.
  • the user or system may select a region, using for example a mouse click for a single pixel area, or a click and drag action to select a larger region.
  • the user may be provided with a selection of graphical frames of various or variable sizes, and have the ability to move the frame to different locations within the merged image to select areas when it is desired to view additional tomosynthesis image slices. In response to such a selection, the particular image slice for initial display may be selected in a variety of ways.
  • an image slice could be selected based on the weighting of its associated pixel within the selected region.
  • a particular image slice may be selected because a particular feature which is selected, or which is near a pixel or region that is selected, is best viewed in the selected image slice, e.g., provides the clearest view of that region.
  • the identification of a particular image slice that is most relevant to a selected pixel or region may utilize pixel information that surrounds the selected object, for example, using region growing techniques known to those in the art.
  • pixels that neighbor the selected pixel or region are included in the evaluation for relevant slices if the pixels have a characteristic that satisfies a certain threshold established by the user; for example, including but not limited to the pixels having a particular weight, or being arranged in a particular pattern, etc.
  • a group of image slices may be selected, e.g., a successive order of image slices, with a central slice or most heavily weighted slice being first presented.
  • the image slice within the group having the least noise i.e., the clearest slice.
  • the selection of an image slice for presentation may also take into account a desired visualization mode. Thus, if the user-specified purpose is to visualize calcifications, an image slice having calcification features may be presented ahead of another slice within the group having a lesser calcification characteristic.
  • the synthesized 2D merged image can act as a guidance-map, so that the medical professional reviewing the images can focus on the synthesized 2D image for detecting any objects or regions of interest that merit further review, and the system can provide immediate, automated navigation to a "best" corresponding
  • FIG. 6 illustrates one exemplary process 180 for retrieving and presenting a Tr image slice in response to user-selection of an object of interest in a merged image, which may be implemented using a software program according to one embodiment of the presently disclosed technologies.
  • the process 180 operates, in response to a selection of an object of interest in a merged image at step 182.
  • the process determines whether the selected object is a CAD mark or a non-CAD mark feature of interest. If it is a CAD mark, at step 185, the Tr slices related to the CAD mark are retrieved. At step 189, one of the Tr slices is selected and presented for display based on at least one of its relative position in the stack, relative weight of the voxel value of the slice, a selected visualization mode, etc.
  • the process determines that the selected object was a non-CAD mark feature of interest, then at step 186, the source Tr images associated with the selected region are evaluated, and a particular Tr source is selected for display based on its relative voxel value as compared to voxel values in other Tr sources that map to the region.
  • the Tr sources that contribute to pixel values within a selected region may be intermittently spaced within the 3D tomosynthesis volume.
  • the most relevant Tr source image when the most relevant Tr source image is selected, it may be presented either alone, or as part of a stack of images together with one or more neighboring Tr slice images.
  • the most relevant Tr source may be the presented image, or alternatively another image in the stack associated with the most relevant image may be first presented, for example if that particular image is clearer.
  • FIG. 7 depicts another process that may be software-implemented for using a synthesized 2D image for navigating a 3D tomosynthesis image stack ("tomosynthesis
  • the process includes, at step 92, constructing a tomosynthesis image slice index map, wherein the pixel locations of the synthesized 2D image are mapped to corresponding pixel locations in pertinent image slices of the tomosynthesis stack.
  • the tomosynthesis stack index map includes identifying information of selected tomosynthesis slice images from the breast volume stack that are source images or that otherwise contain a most similar representation of regions and/or objects displayed in the synthesized 2D image.
  • the tomosynthesis stack index map is preferably generated prior to when a medical professional is ready to conduct his or her review of the breast image data. The details for constructing the tomosynthesis stack index map, in accordance with one preferred embodiment, are described below in conjunction with FIG. 8.
  • the synthesized 2D image is displayed to the medical professional (interchangeably referred to as the "user" of the described system), typically on a workstation having side-by- side monitors as depicted in FIGS. 9-1 1.
  • the medical professional interchangeably referred to as the "user" of the described system
  • the workstation having side-by- side monitors as depicted in FIGS. 9-1 1.
  • only the synthesized 2D image may be presented, e.g., on the left-hand-side monitor, with the right- hand-side monitor being blank, or perhaps depicting a first or middle image slice from the
  • the system will initially display the synthesized 2D image on the left-hand-side monitor, and a "most relevant" one of the tomosynthesis slice images on the right-hand-side monitor, which was determined by the system based upon the displayed tomosynthesis slice being most similar in appearance to the synthesized 2D image, or having the relatively most interesting objects, out of the tomosynthesis image stack for the entire breast volume.
  • the medical professional may use the user-interface to activate the navigational capability of the system.
  • the user may affirmatively input a command to select a particular object or region in the displayed synthesized 2D image.
  • the system may be configured so that the user merely positions a "pointer," e.g., a movable cross or arrowhead that is controlled using a mouse or similar input device), overlying an object or region in the displayed synthesized 2D image, thereby "indicating" an interest in the item.
  • the system may easily retrieve, at step 96, and display on the right-hand-side monitor, at step 98, the tomosynthesis slice that is either the direct source of the user
  • system may be configured for concurrently displaying a respective source image and/or most similar representation of a tissue structure or region that corresponds to a given location of a user movable input device in the displayed synthesized 2D image.
  • the plurality of 2D and/or 3D images from which a synthesized 2D image is generated may include tomosynthesis projection images, tomosynthesis reconstruction slices, mammography images, contrast enhanced mammography images, synthesized 2D images, and combinations thereof.
  • the synthesized 2D image advantageously incorporates the most relevant information from each of the underlying acquired and computer generated image data sets of the patient's breast.
  • different regions of pixels in the displayed synthesized 2D image may be sourced from corresponding different images in the underlying image data set, depending on which underlying image is best for viewing an object of interest, e.g., a mass or a calcification, in the respective region.
  • the particular regions may be identified statically, i.e., within a particular grid, or dynamically, i.e., based on identified objects of interest, and may range in granularity from as little as one pixel, to all pixels in the respective image.
  • priority is given to first importing into a merged image under construction those regions containing one or more specific tissue structures of interest in the images of a tomosynthesis image data set (or "stack"), and thereafter populating the remaining regions of the merged image with the otherwise most relevant regions from the images, as described above.
  • the user interface may additionally include features to enable the medical professional to manipulate the presented tomosynthesis data, for example, to allow the medical professional to scan through adjacent image slices of the tomosynthesis stack, or to further zoom (magnify) into a selected region, to place markers, or alternatively to apply filters or other image processing techniques to the image data.
  • the medical professional may quickly review a large stack of tomosynthesis data by utilizing a synthesized 2D image for navigation purposes, thereby increasing the performance and efficiency of breast cancer screening and diagnosis.
  • different filters are applied to each of the different types of underlying 2D and/or 3D images in the image data set used to generate the merged image, the filters selected to highlight particular characteristics of the images that are best displayed in the respective imaging mode.
  • Appropriate filtering of the images prior to generating the merged image helps ensure that the final merged image includes the most relevant information that can be obtained from all the underlying image types.
  • the type of filtering performed for the various images may be defined via user input, which permits a user to select a 'merge mode', for example, geared towards highlighting masses, calcifications, or for making the merged image appear to be a particular image type, such as a 3D reconstructed slice, or a 2D mammogram.
  • Synthesizing the 2D image may be accomplished in a variety of ways.
  • general purpose image filtering algorithms are used to identify features within each of the respective 2D and 3D images, and a user may select whether to use 2D filtered data or 3D filtered data to generate the merged image.
  • 2D or 3D filtered data may be automatically selected in accordance with a particular visualization mode that has been user selected; for example, 2D filtered data may be automatically selected by the system for calcification visualization mode, while 3D filtered data may be automatically selected by the system for mass visualization modes.
  • two different merged images may be constructed, one for each mode; alternatively, a single merged image may be constructed that takes into account the respective filtered image data results from all available image types.
  • features are identified in the available source images and thereafter weighted, e.g., on a pixel by pixel or region by region basis in each respective image.
  • a 2D image is then constructed by incorporating the respective regions having the most significant weight in individual images of the available source images.
  • the size of the region may vary in granularity from one pixel to many (or even all) pixels of the respective image, and may be statically pre-defined, or may have margins that vary in accordance with the varying thresholds of the source images.
  • the synthesized (aka "merged") image may be pre-processed and stored as a DICOM object following tomosynthesis acquisition, and thereafter forwarded with the
  • the stored DICOM object may include the weighting information, allowing the merged image to be dynamically constructed in response to a request for a synthesized 2D image at the medical professional's work station.
  • both the weighting information and the synthesized 2D image may be provided in the DICOM object, allowing presentation of a default merged image, while still enabling customization according to the personal workflow of the reviewer.
  • the weighting information can be stored with the image itself, and need not be a separate file.
  • the visualization of the synthesized 2D images may have some drawbacks. For example, there may be neighboring regions in the merged image which exhibit bright calcifications, but which in fact are sourced from image slices that are distant from one another in the z plane. Therefore, what may appear to be a cluster of micro- calcifications in the 2D image may, in fact, be individual calcifications that are distributed (i.e., along the z-axis) throughout the breast and thus do not actually represent a micro-calcification cluster that requires further review.
  • a 'cluster spread indicator' may be provided with the synthesized 2D image, which visually indicates the distribution of calcifications along the z-plane, allowing the medical professional to quickly assess whether a group of calcifications comprise a calcification cluster.
  • the system may determine based on the index map information that more than one tomosynthesis image slice should be displayed for a selected/indicated object type or region, for example, a spiculated mass.
  • a series of two or more adjacent tomosynthesis slices are displayed, one after the other, at a timing interval that is preferably user selected.
  • the user may select or indicate more than one object or region in a given synthesized 2D image.
  • the system is preferably configured for, and the method further includes, generating an index map comprising identifying information of selected images of the plurality of 2D and/or 3D images that are source images or that otherwise contain a most similar representation of regions and/or objects displayed in the synthesized 2D image.
  • the index map can thereafter be used by the system to greatly reduce the time needed to navigate through the images, e.g., a tomosynthesis volume stack of the breast image volume.
  • the image data contained in the synthesized 2D image 104 is mapped to selected tomosynthesis image slices of a 3D volume 106 to construct a "generic" index map 108.
  • the pixel locations in the 2D image 104 is mapped to the pixel locations in the respective 3D (tomosynthesis) images 106 based entirely on image similarity, akin to the pieces of a jigsaw puzzle.
  • the generic index map 108 is based entirely on best-fit matching of the appearance of the data in the 2D image to the appearance of the data in the respective 3D images, wherein the slice identification and X,Y coordinates of a 3D image having a most similarly appearing pixel region to a corresponding X,Y region in the 2D region is selected. Potential importance of the respective objects and features in the synthesized 2D image is not taken into account for constructing the generic index map 108.
  • an object type index map 1 14 is generated, in which individual object types, designated as 1 10-1 to 1 10-n in FIG. 8, in the synthesized 2D image are prioritized and assigned weighted values to influence the selection of the best corresponding 3D tomosynthesis image slice.
  • an individual object type index map, designated as 1 12-1 to 1 12-n in FIG. 8 is generated for each object type identified in the synthesized 2D image, e.g., blob density, spiculated masses, micro- calcifications, etc.
  • the individual object type index maps 1 12-1 to 1 12-n are then combined to construct the full object type index map 114, which is then blended, at step 1 16, with the generic index map 108 to provide a composite index map 120, wherein the object type image data is prioritized relative to the generic image data.
  • the composite index map 120 is then used by the system for navigating the image slices of the 3D volume 106 in response to a selected or indicated location on the 2D image 104. In this manner, different object types having overlapping X,Y coordinates, i.e., due to their location at different z-axis positions in the volumetric breast image, can nevertheless be separately navigated for selective viewing, since separate mapping indexes are provided (See below example with respect to FIGS. 10 and 1 1).
  • an object or region may be automatically highlighted in the synthesized 2D image and/or displayed at least portion of the one or more images from the plurality. Additionally and/or alternatively, an object or region in the synthesized 2D image and/or displayed at least portion of the one or more images from the plurality may be highlighted in response to a further received user command or to certain user activity detected through the user interface.
  • an object or region may is highlighted by a contour line representing a boundary of the highlighted object or region.
  • the object or region is highlighted in a manner indicating that the highlighted object or region is or contains a specified type of tissue structure.
  • FIG. 9 depicts an exemplary work station display 122, including a left-hand side monitor 124 ("C-View") displaying a synthesized 2D image 132 of a patient's breast.
  • the synthesized 2D image 132 includes a highlighted tissue structure 134, wherein the highlighting is in the form of a contour line that represents a boundary of the tissue structure.
  • this highlighting may have been done automatically by the system, e.g., at the time the 2D image 132 is initially displayed, or only in response to a specific user command or indication, e.g., by hovering a pointer over the object 134 in the 2D image 132.
  • the work station display 122 also includes a right-hand side monitor 126 displaying the respective tomosynthesis image 136 (which is slice no. 18 of the tomosynthesis volume stack, as indicated in the lower right hand side of the monitor 126), which is the source image or which otherwise provides a most similar view of the highlighted tissue structure 134 as seen in the synthesized image 132.
  • a right-hand side monitor 126 displaying the respective tomosynthesis image 136 (which is slice no. 18 of the tomosynthesis volume stack, as indicated in the lower right hand side of the monitor 126), which is the source image or which otherwise provides a most similar view of the highlighted tissue structure 134 as seen in the synthesized image 132.
  • the user interface associated with the display 122 allows for a user to select or otherwise indicate a location on the synthesized 2D image 132, e.g., by displaying a pointer, a cross, a circle, or other similar geometrical object, and then input a certain command type (e.g., mouse click) that will be recognized by the system as a request from the user to have the corresponding source or otherwise most similar tomosynthesis slice(s) depicting the region or object underlying the pointer displayed in monitor 126.
  • a certain command type e.g., mouse click
  • FIG. 10 depicts the work station display 122, wherein a different synthesized 2D breast image 142 is displayed in the left-hand side C-View monitor 124.
  • the synthesized 2D image 142 includes a highlighted tissue structure 144, wherein the highlighting is in the form of a geometric shape, in this case a circle, to indicate that the object 144 is a spiculated mass.
  • this highlighting may have been done automatically by the system, e.g., at the time the 2D image 142 is initially displayed, or only in response to a specific user command or indication, e.g., by hovering a pointer over the object 144 in the 2D image 142.
  • the right- hand side monitor 126 is displaying the respective tomosynthesis image 146 (which is slice no. 33 of the tomosynthesis volume stack, as indicated in the lower right hand side of the monitor 126), which is the source image or which otherwise provides a most similar view of the highlighted tissue structure 144 as seen in the synthesized image 132.
  • FIG. 1 1 depicts the user work station display 122, including the same synthesized 2D breast image 142 as displayed in FIG. 10, but now highlighting a region 154 containing micro-calcifications, with the right-hand side monitor displaying the tomosynthesis image slice 156 (which is slice no.
  • a "tomosynthesis slice indicator" may optionally be provided on the left-hand-side monitor 124, which indicates which tomosynthesis slice number (numbers) would be displayed on the right-hand-side monitor 126 based on a current location of a user curser on the 2D image.
  • the available features of the user interface may be extended to function, not only based point/location of the merged image, but also based in a similar fashion on a structure/object/region.
  • particular objects or region(s) in the merged image may be automatically highlighted when displayed, based on the system recognition of possible interest in the respective objects, or of objects located in the respective region(s).
  • this highlighting is in the form of a contour line 108 that represents a boundary of a highlighted tissue structure.
  • a contour line may be similarly used to highlight regions of interest in the displayed image, e.g., containing a number of calcification structures.
  • the system is configured to allow the user to "draw" a contour line on the merged image as a way of selecting or otherwise indicating an object or region of interest for causing the system to concurrently display one or more underlying source images of the selected or indicated object or region.
  • the system employs known image processing techniques to identify different breast tissue structures in the various source images, and highlight them in the merged image, in particular, tissue structures comprising or related to abnormal objects, such as micro-calcification clusters, round-or-lobulated masses, spiculated masses, architectural distortions, etc.; as well as benign tissue structures comprising or related to normal breast tissues, such as linear tissues, cysts, lymph nodes, blood vessels, etc.
  • tissue structures comprising or related to abnormal objects, such as micro-calcification clusters, round-or-lobulated masses, spiculated masses, architectural distortions, etc.
  • benign tissue structures comprising or related to normal breast tissues, such as linear tissues, cysts, lymph nodes, blood vessels, etc.
  • an object or region consisting of or containing a first type of tissue structure may be highlighted in a first manner in the displayed merged image, and an object or region consisting or containing a second type of tissue structure may be highlighted in a second manner different from the first manner in the displayed merged image.
  • the user may input a command through the user interface selecting or otherwise identifying a certain type of tissue structure, and, in response to the received command, the system performs one or both of (i) automatically highlighting in the displayed merged image objects comprising the selected type of tissue structure and/or regions containing one or more objects comprising the selected type of tissue structure, and (ii) automatically concurrently displaying the respective source slice (or otherwise the slice with best depiction of) a tissue structure of the selected type in the breast image data, e.g., a most prominent one of the selected tissue structure type based on a comparison, if more than one is detected in the source image stack.
  • the system automatically concurrently displays the source (or otherwise best) tomosynthesis image slice including the corresponding micro-calcification in 3D.
  • a user can select (through the user interface) a region in the 2D merged image that has the appearance with radiating line patterns (often an indication of spiculated masses), and the system will concurrently display the source (or otherwise best) 3D tomosynthesis slice, or perhaps to a series of consecutive tomosynthesis slices, for viewing the radiating line patterns.
  • the user may input a command through the user interface, activating dynamic display functionality, wherein the system automatically highlights those objects and tissue structures that (dynamically) correspond to the location of a user movable input device in the displayed merged image.
  • the system may further comprise automatically concurrently displaying a respective source image of a highlighted selected tissue structure that corresponds to a given location of a user movable input device in the displayed merged image, again, on a dynamic basis.
  • the system can be activated to provide a "shadow" cursor is displayed on the right-hand-side monitor 126, in a location corresponding to the same (x,y) location as the user's actual curser on the left-hand- side monitor 124, so that moving the curser around in the 2D image moves the shadow curser in the tomosynthesis image at same X,Y coordinates.
  • the reverse can also be implemented, i.e., with the active user curser operable in the right-hand monitor 126, and the show curser in the left-hand monitor 124.
  • this dynamic display feature allows the system to follow the user's point of interest, e.g. mouse cursor location, in the 2d merged image, and dynamically display/highlight the most "meaningful" region(s) underneath in real time. For example, the user can move the mouse (without clicking any button) over a blood vessel, and the system will instantly highlight the vessel contour.
  • point of interest e.g. mouse cursor location
  • mapping concepts described herein may be extended to generate a fully mapped 3D volume, with each of the voxels in the mapped volume storing information related to the associated tomosynthesis slices(s) sourcing the particular voxel.
  • the volume may be projected onto a fixed coordinate system, regardless of the actual volume of the breast. Projecting the volume to a fixed coordinate system in this manner facilitates processing of the image data, in particular, simplifying the correlation of voxels obtained during different acquisitions.
  • one or more 3D maps may be provided, for example, to map from voxels in one slice of a 3D volume acquired via CC to one or more corresponding voxels in another volume, for example acquired via an MLO view.
  • Such an arrangement facilitates comparison of slices obtained from different acquisitions that relate to a similar feature of interest within the breast volume, essentially permitting the medical professional to obtain a multi-planar review of a region of interest.
  • a multi-mode mammography/tomosynthesis system may be generally used as follows. A patient who has been identified as a candidate for biopsy is positioned at the multi-mode x-ray imaging system. At step 161 the biopsy compression paddle moves down towards the compression platform, compressing the patient's breast, and the process of visualizing the lesion is initiated at step 162. Depending upon the capabilities of the x-ray imaging system, visualization of the lesion can be performed utilizing a synthesized mammogram, in accordance with the embodiments described herein.
  • Such an embodiment likely includes the lesion to be biopsied, unlike a first image presented in a stack of Tr images (alternatively referred to herein as tomo stack) commonly.
  • the synthesized mammogram better emulates the images that a doctor sees during traditional stereotactic biopsy. Using this mode may also save time scrolling through a tomo stack, since the synthesized mammogram optionally derives data from the tomo stack.
  • tomosynthesis mode can be used for a scout acquisition while still presenting the synthesized mammogram to a user in an effort to identify the relevant slice in the tomo stack in which the lesion is presented.
  • visualization of the lesion may optionally use a scout image, a mammogram, acquired stereotactic images, acquired tomosynthesis projection images, tomosynthesis reconstructed images, or any combination thereof.
  • an x-ray imaging system having tomosynthesis capabilities may be adapted to include a "stereotactic mode," which, when selected, causes the x-ray imaging system to automatically retrieve the typical +/-15 degree stereotactic images and performs appropriate imaging processing on the stereotactic images to derive a stereotactic volume.
  • a stereotactic mode which, when selected, causes the x-ray imaging system to automatically retrieve the typical +/-15 degree stereotactic images and performs appropriate imaging processing on the stereotactic images to derive a stereotactic volume.
  • the lesion is targeted, either using the synthesized mammogram and/or the slice in the tomo stack to which the user is directed from the synthesized mammogram.
  • Targeting the lesion may involve identifying the coordinates of the lesion using image data, and optionally converting the coordinates from the coordinate system of the images (e.g., a Cartesian coordinate system) to the coordinate system of the biopsy assembly using conversion techniques known to those of skill in the art.
  • different images, or combinations of images may be used for visualizing the lesion than are used for targeting the lesion.
  • composite images such as those described below with regard to FIG. 19 can be utilized for visualizing or targeting the lesion.
  • a scout image is initially used to ensure that the patient is in position, a pair of stereotactic images is used to visualize the lesion. If the lesion is found in the scout image, but not in both stereo images, the scout image may be used in combination with the stereotactic image in which the lesion is located to derive target location information.
  • the lesion target coordinates may be derived using a scout image, a mammogram, a synthesized mammogram, acquired stereotactic images, acquired tomosynthesis projection images, tomosynthesis reconstructed images, or any combination thereof.
  • FIG. 13 illustrates an exemplary display and buttons of a control unit.
  • the control unit includes a display 172 for displaying information related to the biopsy, such as information regarding needle size, distance to platform and paddle, needle coordinates, target coordinates, proximity to target and other related information.
  • the control panel may also provide other helpful information to the user, such as warning indicators when the needle is too close to the breast platform, chest wall or skin line.
  • the warning indicators may be color coded or may provide other visual or audible indicators of undesirable conditions.
  • control unit also includes buttons (including button 170) positioned and arranged to allow single handed activation of the biopsy assembly while precluding accidental activation.
  • buttons including button 170
  • a pair of control buttons is provided, one on the front face of the control panel, and another on the back face of the control panel. Biopsy assembly movement may only be activated via simultaneous depression of both buttons. Other mechanisms for affirming operator intent may be substituted herein without affecting the scope of the technology.
  • an image may be acquired to verify that, in fact, the needle is positioned at the lesion. If the biopsy needle is out of the view of the x- ray imaging system, such as that described in U.S. Patent Application Publication No. 201 1/0087132, such image may be obtained without interference.
  • the tissue may be excised, and the biopsy is complete.
  • steps 165 and 166 may be repeated to verify excision of the entire lesion.
  • FIG. 14 An example of user interface features that may be added to an acquisition workstation for use with a biopsy assembly is shown in FIG. 14.
  • the user interface includes menus and/or control buttons or icons which enable the user to control the display and output of information gathered during the biopsy.
  • Targeting tools 180 allow the user to review, modify and delete target information.
  • Image source selectors 182 include stereotactic, tomosynthesis, scout, mammography, etc.
  • Image view selectors 184 allow the user to quickly pull up and view any of the images that may have been acquired during the biopsy. Any of the images may be pulled up in the image window 186.
  • Other information related to the biopsy such as the type of biopsy device, the relative distances between the target and the compression plate/platform, etc., may also be included on the acquisition workstation. It should be noted that although a particular arrangement of buttons and icons has been shown in the representative view of FIG. 14, the present technology is not limited to any particular representation of such information, and other forms of pull down menus, hyperlinks, icons, buttons, and windows are considered equivalents hereto.
  • the user interface may optionally include a biopsy window 200 overlaid on the synthesized mammogram.
  • a biopsy window 200 overlaid on the synthesized mammogram.
  • the biopsy window can optionally be toggled off and on by a user.
  • the biopsy window can additionally or alternatively include an indication to the user if no calcium or mass is presented within the window.
  • Such indication can be in the form of, but not limited to, an auditory or visual indication.
  • determination of whether or not such an indication should be provided to the user is based at least in part on whether the biopsy window on the synthesized mammogram includes one of the features of the IMERGE map.
  • presenting the synthesized mammogram to the user also facilitates navigating to a slice in the tomo stack in which the lesion or feature (e.g., abnormality, calcification, mass, etc.) is found.
  • the lesion or feature e.g., abnormality, calcification, mass, etc.
  • the user can be directed to the slice in the tomo stack that best presents the lesion or feature in the synthesized mammogram.
  • the user interface can be configured such that the user can be directed to a slice just above or below the slice in the tomo stack that presents the lesion or feature, which can be useful since a user may scroll through the tomo stack to be presented with varying views of the lesion or feature.
  • a visual target or indication can be placed automatically on the slice of interest in the tomo stack in response to a user selecting a lesion or feature on the synthesized mammogram presented to the user.
  • a user can be directed to the lesion or feature on the relevant slice to correct the target for biopsy, e.g., by jogging in the X- or Y- directions or nudging in the Z-direction, if necessary.
  • targets placed on the relevant slice can also be automatically placed or selected through use of CAD of calcification or mass enhancement in the synthesized mammogram. This could help with biopsy workflow as such selected targets or placements could be considered biopsy targets, which when used in combination with the biopsy window can ensure proper patient positioning. Such targets or placements can be independently verified by jumping to or scrolling through the slice(s) in the tomo stack.
  • Image-guided biopsies in accordance with an embodiment of the technology may include use of one or more modes of contrast imaging, dual energy imaging, and/or high energy imaging, all in either 2D or 3D images.
  • dual energy imaging multiple x-ray images are acquired - of one at low x-ray energy and one at high x-ray energy.
  • Various aspects of x-ray energy may be varied such as dose, intensity, wavelength, and/or other aspects of x-ray energy known to those of skill in the art.
  • the dual energy image may be a linear combination of the image pairs.
  • the dual energy image can be the difference between the high energy image and the low energy image.
  • contrast imaging a contrast agent can be visualized in the high energy image alone, which can optionally take the place and serve the same function as the dual energy image.
  • contrast image can refer to either a dual energy image or a high energy image in which a contrast agent can be visualized.
  • Contrast images can be either 2D or 3D or even synthesized 2D images, e.g., in which the contrast synthesized 2D image is derived from contrast 3D images and/or dual energy 3D image.
  • Nonlimiting examples of such imaging systems are described at least at U.S. Patent Application Publication No. 2012/0238870.
  • a breast imaging system according to examples described herein combines the capabilities of combined 2D and/or 3D breast x-ray imaging with benefits from contrast image acquisition processes.
  • Biopsy capability may also be integrated into the system, with lesion localization software (e.g., such as those described herein) utilizing any images selected from a group including 2D images (e.g., Mp), synthesized 2D images, 3D projection images, 3D reconstructed data. Additionally, images utilized may be selected from the group including any of the 2D (including synthesized 2D), 3D projection and 3D reconstructed data that were obtained utilizing a contrast, dual energy and/or background subtraction image acquisition process.
  • lesion localization software e.g., such as those described herein
  • images utilized may be selected from the group including any of the 2D (including synthesized 2D), 3D projection and 3D reconstructed data that were obtained utilizing a contrast, dual energy and/or background subtraction image acquisition process.
  • Contrast imaging using a single high or low energy image acquisition technique, in 2D or 3D mode; Dual-energy contrast imaging in 2D or 3D mode; Dual-energy contrast imaging in 3D mode, wherein high and low energy exposures occur at different angles during a tomosynthesis scan; high and low energies can be reconstructed separately and combined to form the dual energy volume; Dual-energy imaging in a combo system that acquires dual- energy 2D and dual-energy 3D images; In combo imaging mode, where the 2D image data set is acquired using a single energy, and the 3D image data set is acquired using dual-energy imaging; In combo imaging mode, where the 2D image data set is acquired using dual-energy imaging, and the 3D image data set is acquired using a single energy image; In combo imaging mode, where the 2D image data set is acquired using dual-energy imaging, and the 3D image data set is acquired using a single energy image; Tomosynthesis imaging mode, wherein among a total of N views in a tomo scan, wherein the breast remains in compression throughout the scan,
  • FIG. 16 illustrates a scope of imaging in different modes of operation of a combo system that operates in either or both of a 2D imaging mammography mode and a 3D imaging tomosynthesis mode.
  • the system can image the breast with or without contrast agent in the breast.
  • the system can carry out dual-energy imaging or background subtraction imaging.
  • these capabilities allow for many different combinations of modes such as 2D using single-energy (SE) and contrast enhancement (CE), 2D using SE, 3D using CE, 3D using DE, etc.
  • SE single-energy
  • CE contrast enhancement
  • FIG. 17 illustrates a scope of imaging when using a 2D only system, i.e., a system that does not include 3D tomosynthesis capabilities.
  • the system can be used in single-energy or dual-energy modes, in each case with or without contrast agent in the breast.
  • FIG. 18 illustrates the operation of a 3D only system that can operate in 3D imaging mode using single-energy or dual-energy imaging, in either case with or without contrast agent in the breast.
  • a method of performing an x-ray contrast agent biopsy can comprise the following.
  • a patient has an injection of the x-ray contrast agent.
  • the patient is seated and given an IV injection of the contrast agent.
  • a wait of typically 1 -3 minutes occurs, which gives time for the contrast agent to accumulate in the breast tissue.
  • the biopsy procedure using contrast agent can be similar to the non-contrast biopsy procedures that are well-known state of the art.
  • the breast is compressed and one or more scout images are acquired to ensure that the lesion is appropriately centered in the biopsy paddle's opening. Unlike the non-contrast procedure, these scout images can be either dual-energy subtracted images or high energy images which visualize the contrast agent.
  • the acquired images can be either 2D or 3D images.
  • the displayed image can be 2D (including synthesized 2D) and/or 3D images. Then, targeting commences. This can be done with a stereo pair of (typically acquired at ⁇ 15°) dual energy or high energy 2D images, or one can target using the dual energy 3D scout image if that is available.
  • Some of the unique aspects of a contrast biopsy procedure and system relate to the short time that the contrast agent is present and visible in the breast.
  • the visibility of the contrast agent changes with time and the visibility can be reduced during the length of time of the biopsy. Therefore, a user interface and/or targeting features are provided in which one can identify the lesion in the contrast agent image and correlate it to a reference object visible in the non-contrast agent low energy, normal 3D image (Tp or Tr), 2D image and/or synthesized mammogram. This would facilitate post-fire verification imaging to occur after the visibility of the lesion in the contrast agent has disappeared. This will also allow biopsying of multiple sites when the contrast agent might only be visible during the initial parts of the biopsy of the first lesion.
  • the display may be toggled to alternately show the low energy and the contrast image in the scout or stereo image pair.
  • Coordinate crosshairs identified by the user may be saved in the contrast image and displayed on the low energy images.
  • a crosshair may be located automatically on a standard tomo scout image and slice using crosshair locations or lesions identified by the user on the stereo contrast image.
  • crosshairs may be automatically placed on stereo pairs (either low energy or contrast stereo pairs) from crosshairs or lesions identified on a tomo scout image that is either a standard low energy or a contrast scout image). Both the contrast image and the low energy image may be overlayed and/or simultaneously displayed on a single display, using different color maps for the two images.
  • Nonlimiting examples of biopsies in accordance with the systems described herein include any one or more of the following: a system capable of performing stereo biopsy and contrast stereo biopsy; a system capable of performing tomo biopsy and contrast tomo biopsy; a system capable of performing stereo and tomo and contrast stereo and contrast tomo biopsy; biopsy systems that have as part of their user interface methods of toggling a display between a contrast and a low energy image; biopsy systems that have as part of their user interface methods of simultaneously superimposing and displaying a low energy and a contrast image; a system that allows marking crosshair locations in contrast images and displaying them on low energy images, to allow a biopsy procedure and verification to occur when the contrast agent is no longer visible on the image due to the time elapsed during the procedure; a procedure of performing a biopsy using x-ray contrast guided imaging; a prone biopsy system that utilizes two or more x-ray filters, e.g., one filter is used for the low energy image, and another filter for the high-energy image, the high energy
  • FIG. 19 depicts one method 300 of performing a procedure, such as a biopsy, on a breast of a patient.
  • a procedure such as a biopsy
  • the breast is compressed with a paddle of an imaging system, typically between the paddle and an associated platform.
  • a contrast agent may be injected into the patient before or after compression of the breast, operation 304.
  • the amount of time between injection and imaging can be as required or desired for a particular contrast agent, patient specifics, technician experience, etc.
  • An initial imaging procedure is then performed, operation 306.
  • the imaging operation can include imaging the breast a plurality of times at
  • predetermined dosages which may be the same, substantially the same, or different. Indeed, if contrast imaging is performed, the first dosage may be higher than a subsequent dosage, such that the contrast agent is readily visible in an image resulting from the first imaging procedure. Dual energy imaging may also utilize two different dosages. Each imaging procedure may generate a discrete image that may be stored or processed as described below.
  • a composite image (e.g., a combination of the plurality of images, one such combination being a substitution of a first image from a second image) can be generated, operation 308.
  • Any of the various images resulting from each imaging procedure, or the composite image, can be displayed to a user, operation 310, for further analysis or study. Differences in the plurality of images may be indicative of a region of interest, which may be identified on the displayed image.
  • a spatial position of the region of interest within the breast may be correlated with a reference object in the image, or the coordinates of the region of interest may be stored, operation 312.
  • the region of interest may be targeted for further procedures, such as a biopsy.
  • an indicator may be located so as to mark a region of interest within the breast, operation 314. This indicator may be located by action of a user of the system (e.g., an operator touching a screen), or the system may automatically mark a region of interest to draw attention thereto.
  • a biopsy needle may be positioned, operation 316. Positioning may be performed manually or automatically, based on the various types of information stored on the system. Once positioned as required or desired, a biopsy may be performed, operation 318. Thereafter, to confirm the region of interest was properly targeted, the breast may be imaged again, operation 320.

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EP23199647.1A EP4278977A3 (en) 2013-10-24 2014-10-23 System and method for navigating x-ray guided breast biopsy
KR1020167010305A KR102340594B1 (ko) 2013-10-24 2014-10-23 엑스레이 유도 유방 생검을 네비게이팅하기 위한 시스템 및 방법
EP14855181.5A EP3060132B1 (en) 2013-10-24 2014-10-23 System and method for navigating x-ray guided breast biopsy
US15/031,396 US11364005B2 (en) 2013-10-24 2014-10-23 System and method for navigating x-ray guided breast biopsy
CN201480058064.5A CN106170255A (zh) 2013-10-24 2014-10-23 用于导航x射线引导的乳房活检的系统和方法
JP2016526115A JP2016533803A (ja) 2013-10-24 2014-10-23 Ｘ線誘導胸部生検をナビゲートするためのシステムおよび方法
EP19213173.8A EP3646798B1 (en) 2013-10-24 2014-10-23 System and method for navigating x-ray guided breast biopsy
CN201911020099.0A CN110870778B (zh) 2013-10-24 2014-10-23 用于导航x射线引导的乳房活检的系统和方法
AU2014339982A AU2014339982B2 (en) 2013-10-24 2014-10-23 System and method for navigating x-ray guided breast biopsy
US17/745,189 US12029602B2 (en) 2013-10-24 2022-05-16 System and method for navigating x-ray guided breast biopsy

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Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106023123A (zh) * 2016-05-01 2016-10-12 中国人民解放军空军航空大学 一种新型的多窗口同视的图像融合框架
WO2017060133A1 (en) 2015-10-05 2017-04-13 Koninklijke Philips N.V. Apparatus for characterization of a feature of a body part
DE102016210093A1 (de) * 2016-06-08 2017-12-14 Siemens Healthcare Gmbh Verfahren zur Planung einer Untersuchung
WO2018049553A1 (en) * 2016-09-13 2018-03-22 Shenzhen Xpectvision Technology Co., Ltd. Methods of x-ray imaging
WO2018183549A1 (en) * 2017-03-30 2018-10-04 Hologic, Inc. System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement
EP3060132B1 (en) 2013-10-24 2019-12-04 Hologic, Inc. System and method for navigating x-ray guided breast biopsy
CN110652311A (zh) * 2018-06-29 2020-01-07 通用电气公司 用于经由预拍处理对物体成像的系统和方法
EP3628226A1 (de) * 2018-09-27 2020-04-01 Siemens Healthcare GmbH Verfahren zur überwachung einer gewebeentnahme mittels eines röntgen-bildgebungssystems
US10827986B2 (en) 2015-12-21 2020-11-10 Koninklijke Philips N.V. Computing and displaying a synthetic mammogram during scanning acquisition
US11403483B2 (en) 2017-06-20 2022-08-02 Hologic, Inc. Dynamic self-learning medical image method and system
US11399790B2 (en) 2017-03-30 2022-08-02 Hologic, Inc. System and method for hierarchical multi-level feature image synthesis and representation
US11406332B2 (en) 2011-03-08 2022-08-09 Hologic, Inc. System and method for dual energy and/or contrast enhanced breast imaging for screening, diagnosis and biopsy
US11419565B2 (en) 2014-02-28 2022-08-23 IIologic, Inc. System and method for generating and displaying tomosynthesis image slabs
US11445993B2 (en) 2017-03-30 2022-09-20 Hologic, Inc. System and method for targeted object enhancement to generate synthetic breast tissue images
US11452486B2 (en) 2006-02-15 2022-09-27 Hologic, Inc. Breast biopsy and needle localization using tomosynthesis systems
US11481038B2 (en) 2020-03-27 2022-10-25 Hologic, Inc. Gesture recognition in controlling medical hardware or software
US11508340B2 (en) 2011-11-27 2022-11-22 Hologic, Inc. System and method for generating a 2D image using mammography and/or tomosynthesis image data
US11589944B2 (en) 2013-03-15 2023-02-28 Hologic, Inc. Tomosynthesis-guided biopsy apparatus and method
US11663780B2 (en) 2012-02-13 2023-05-30 Hologic Inc. System and method for navigating a tomosynthesis stack using synthesized image data
US11694792B2 (en) 2019-09-27 2023-07-04 Hologic, Inc. AI system for predicting reading time and reading complexity for reviewing 2D/3D breast images
US11701199B2 (en) 2009-10-08 2023-07-18 Hologic, Inc. Needle breast biopsy system and method of use
US11775156B2 (en) 2010-11-26 2023-10-03 Hologic, Inc. User interface for medical image review workstation
US11883206B2 (en) 2019-07-29 2024-01-30 Hologic, Inc. Personalized breast imaging system
US12029499B2 (en) 2018-05-04 2024-07-09 Hologic, Inc. Biopsy needle visualization
US12121304B2 (en) 2018-05-04 2024-10-22 Hologic, Inc. Introducer and localization wire visualization
US12211608B2 (en) 2013-03-15 2025-01-28 Hologic, Inc. System and method for navigating a tomosynthesis stack including automatic focusing
US12236597B2 (en) 2021-11-29 2025-02-25 Hologic, Inc. Systems and methods for correlating objects of interest
US12236582B2 (en) 2018-09-24 2025-02-25 Hologic, Inc. Breast mapping and abnormality localization
US12254586B2 (en) 2021-10-25 2025-03-18 Hologic, Inc. Auto-focus tool for multimodality image review

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2014236805B2 (en) 2013-03-15 2018-12-06 Hologic, Inc. X-ray scatter reducing device for use with 2D and 3D mammography
CN105979875B (zh) * 2014-02-04 2019-12-31 皇家飞利浦有限公司 用于生成乳房参数图的医学成像设备、方法、装置和计算机可读介质
US10692213B2 (en) * 2015-03-10 2020-06-23 Koninklijke Philips N.V. Retrieval of corresponding structures in pairs of medical images
KR102333479B1 (ko) * 2015-03-31 2021-12-03 한국전자통신연구원 유방 병변 진단을 위한 영상 판독 보조 방법 및 장치
US10463333B2 (en) * 2016-12-13 2019-11-05 General Electric Company Synthetic images for biopsy control
US10430984B2 (en) * 2016-12-16 2019-10-01 General Electric Company Fused slice or cine-loop image for multi-mode DBT acquisitions
EP3378401B1 (de) * 2017-03-23 2025-02-12 Siemens Healthineers AG Darstellung eines interessierenden bereichs
EP3656307B1 (en) 2017-07-19 2021-02-24 FUJIFILM Corporation Mammography device, control method, and control program
US10779791B2 (en) * 2018-03-16 2020-09-22 General Electric Company System and method for mobile X-ray imaging
US20190388152A1 (en) * 2018-06-21 2019-12-26 General Electric Company System and method for contact management of a biopsy apparatus
US11227418B2 (en) * 2018-12-28 2022-01-18 General Electric Company Systems and methods for deep learning-based image reconstruction
WO2020159984A1 (en) * 2019-01-30 2020-08-06 Canon U.S.A., Inc. Apparatuses, systems, methods and storage mediums for performance of co-registration
JP7203474B2 (ja) * 2019-02-20 2023-01-13 富士フイルム株式会社 マンモグラフィ装置及びプログラム
US11983871B2 (en) * 2019-04-02 2024-05-14 Koninklijke Philips N.V. Automated system for rapid detection and indexing of critical regions in non-contrast head CT
US11564645B2 (en) * 2020-02-25 2023-01-31 GE Precision Healthcare LLC Methods and systems for digital mammography imaging
EP4125600A4 (en) 2020-04-20 2023-08-23 Shanghai United Imaging Healthcare Co., Ltd. IMAGING SYSTEMS AND METHODS
CN111956248A (zh) * 2020-09-03 2020-11-20 上海联影医疗科技股份有限公司 一种x射线成像方法、装置、设备及存储介质
US11308594B2 (en) * 2020-05-15 2022-04-19 GE Precision Healthcare LLC Tomosynthesis dataset generation using pre-exposure acquisition
WO2022018943A1 (ja) * 2020-07-22 2022-01-27 富士フイルム株式会社 画像処理装置、方法およびプログラム
JP7376447B2 (ja) * 2020-09-28 2023-11-08 富士フイルム株式会社 制御装置、制御方法、及び制御プログラム
JP7446454B2 (ja) * 2020-09-28 2024-03-08 富士フイルム株式会社 情報処理装置、情報処理装置の作動方法、及び情報処理プログラム
WO2022097524A1 (ja) * 2020-11-09 2022-05-12 富士フイルム株式会社 画像処理装置、方法およびプログラム、並びに画像表示装置、方法およびプログラム
WO2024118739A1 (en) * 2022-11-29 2024-06-06 New York University Artificial intelligence system, method and computer-accessible medium for facilitating mammography
JP2024128889A (ja) * 2023-03-10 2024-09-24 富士フイルム株式会社 画像処理装置、画像撮影システム、画像処理方法、画像処理プログラム
US20250095143A1 (en) * 2023-09-20 2025-03-20 GE Precision Healthcare LLC Methods and systems for generating dual-energy images from a single-energy imaging system based on anatomical segmentation

Family Cites Families (419)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4054402B2 (ja) 1997-04-25 2008-02-27 株式会社東芝 Ｘ線断層撮影装置
US3502878A (en) 1967-09-22 1970-03-24 Us Health Education & Welfare Automatic x-ray apparatus for limiting the field size of a projected x-ray beam in response to film size and to source-to-film distance
US7050611B2 (en) 2001-05-29 2006-05-23 Mevis Breastcare Gmbh Co. Kg Method and computer system for screening of medical cases
US3863073A (en) 1973-04-26 1975-01-28 Machlett Lab Inc Automatic system for precise collimation of radiation
US3971950A (en) 1975-04-14 1976-07-27 Xerox Corporation Independent compression and positioning device for use in mammography
US4160906A (en) 1977-06-23 1979-07-10 General Electric Company Anatomically coordinated user dominated programmer for diagnostic x-ray apparatus
DE2838901C2 (de) 1978-09-06 1986-11-06 Siemens AG, 1000 Berlin und 8000 München Katapultrasterlade
FR2512024A1 (fr) 1981-08-27 1983-03-04 Adir Ethers tricycliques, leur preparation et les compositions pharmaceutiques les contenant
FR2549248B1 (fr) 1983-06-24 1986-01-31 Thomson Csf Porte-cassette escamotable pour appareil d'examen radiologique et radiographique
DE3339775A1 (de) 1983-11-03 1985-05-15 Siemens AG, 1000 Berlin und 8000 München Roentgendiagnostikgeraet mit strahlenfiltern
SE8306243L (sv) 1983-11-14 1985-05-15 Cytex Medicinteknik Ab Lokaliseringsmetodik
JPS60129034A (ja) 1983-12-16 1985-07-10 横河メディカルシステム株式会社 Ｘ線断層撮像装置の操作卓
US4706269A (en) 1985-03-11 1987-11-10 Reina Leo J Anti-scatter grid structure
US4773087A (en) 1986-04-14 1988-09-20 University Of Rochester Quality of shadowgraphic x-ray images
USRE33634E (en) 1986-09-23 1991-07-09 Method and structure for optimizing radiographic quality by controlling X-ray tube voltage, current focal spot size and exposure time
US4821727A (en) 1986-10-30 1989-04-18 Elscint Ltd. Mammographic biopsy needle holder system
US4819258A (en) 1986-11-28 1989-04-04 Bennett X-Ray Corp. Auto-setting of KV in an x-ray machine after selection of technic factors
US4907156A (en) 1987-06-30 1990-03-06 University Of Chicago Method and system for enhancement and detection of abnormal anatomic regions in a digital image
US5051904A (en) 1988-03-24 1991-09-24 Olganix Corporation Computerized dynamic tomography system
US5740270A (en) 1988-04-08 1998-04-14 Neuromedical Systems, Inc. Automated cytological specimen classification system and method
DK654488A (da) 1988-11-23 1990-05-24 Nordisk Roentgen Tech App Roentgenapparat
US5099846A (en) 1988-12-23 1992-03-31 Hardy Tyrone L Method and apparatus for video presentation from a variety of scanner imaging sources
FR2645006A1 (fr) 1989-03-29 1990-10-05 Gen Electric Cgr Mammographe equipe d'un dispositif de vue stereotaxiques integre et procede d'utilisation d'un tel mammographe
FR2646340A1 (fr) 1989-04-28 1990-11-02 Gen Electric Cgr Porte-cassette adaptable en dimension et en position pour mammographie
EP0406455B1 (de) 1989-07-03 1994-09-21 Siemens Aktiengesellschaft Röntgendiagnostikgerät für Mammographieaufnahmen
US5133020A (en) 1989-07-21 1992-07-21 Arch Development Corporation Automated method and system for the detection and classification of abnormal lesions and parenchymal distortions in digital medical images
CA2014918A1 (en) 1989-09-06 1991-03-06 James A. Mcfaul Scanning mammography system with improved skin line viewing
US4969174A (en) 1989-09-06 1990-11-06 General Electric Company Scanning mammography system with reduced scatter radiation
US5240011A (en) 1991-11-27 1993-08-31 Fischer Imaging Corporation Motorized biopsy needle positioner
US5415169A (en) 1989-11-21 1995-05-16 Fischer Imaging Corporation Motorized mammographic biopsy apparatus
US5078142A (en) * 1989-11-21 1992-01-07 Fischer Imaging Corporation Precision mammographic needle biopsy system
EP0465609A4 (en) 1989-11-27 1992-08-26 Bard International, Inc. Puncture guide for computer tomography
US5199056A (en) 1989-11-28 1993-03-30 Darrah Carol J Mammography compression paddle
US5481623A (en) 1990-04-19 1996-01-02 Fuji Photo Film Co., Ltd. Apparatus for determining an image position on imaging media
FR2668359B1 (fr) 1990-10-24 1998-02-20 Gen Electric Cgr Mammographe muni d'un porte-aiguille perfectionne.
US5129911A (en) 1991-03-11 1992-07-14 Siczek Bernard W Orbital aiming device
US5409497A (en) 1991-03-11 1995-04-25 Fischer Imaging Corporation Orbital aiming device for mammo biopsy
US5279309A (en) 1991-06-13 1994-01-18 International Business Machines Corporation Signaling device and method for monitoring positions in a surgical operation
US5163075A (en) 1991-08-08 1992-11-10 Eastman Kodak Company Contrast enhancement of electrographic imaging
US5941832A (en) 1991-09-27 1999-08-24 Tumey; David M. Method and apparatus for detection of cancerous and precancerous conditions in a breast
US5594769A (en) 1991-11-27 1997-01-14 Thermotrex Corporation Method and apparatus for obtaining stereotactic mammographic guided needle breast biopsies
US5289520A (en) 1991-11-27 1994-02-22 Lorad Corporation Stereotactic mammography imaging system with prone position examination table and CCD camera
US5343390A (en) 1992-02-28 1994-08-30 Arch Development Corporation Method and system for automated selection of regions of interest and detection of septal lines in digital chest radiographs
US5359637A (en) 1992-04-28 1994-10-25 Wake Forest University Self-calibrated tomosynthetic, radiographic-imaging system, method, and device
US5386447A (en) 1992-09-23 1995-01-31 Fischer Imaging Corporation Mammographic screening and biopsy apparatus
US5596200A (en) 1992-10-14 1997-01-21 Primex Low dose mammography system
FR2703237B1 (fr) 1993-03-29 1995-05-19 Ge Medical Syst Sa Mammographe équipé d'un dispositif de prises en vues stéréotaxiques à détecteur numérique et procédé d'utilisation d'un tel mammographe .
US5491627A (en) 1993-05-13 1996-02-13 Arch Development Corporation Method and system for the detection of microcalcifications in digital mammograms
US5878746A (en) 1993-08-25 1999-03-09 Lemelson; Jerome H. Computerized medical diagnostic system
US5365562A (en) 1993-09-20 1994-11-15 Fischer Imaging Corporation Digital imaging apparatus
US6075879A (en) 1993-09-29 2000-06-13 R2 Technology, Inc. Method and system for computer-aided lesion detection using information from multiple images
US5526394A (en) 1993-11-26 1996-06-11 Fischer Imaging Corporation Digital scan mammography apparatus
US5452367A (en) 1993-11-29 1995-09-19 Arch Development Corporation Automated method and system for the segmentation of medical images
CA2113752C (en) 1994-01-19 1999-03-02 Stephen Michael Rooks Inspection system for cross-sectional imaging
DE4414689C2 (de) 1994-04-26 1996-08-29 Siemens Ag Röntgendiagnostikeinrichtung
US5499097A (en) 1994-09-19 1996-03-12 Neopath, Inc. Method and apparatus for checking automated optical system performance repeatability
US5557097A (en) 1994-09-20 1996-09-17 Neopath, Inc. Cytological system autofocus integrity checking apparatus
WO1996010237A1 (en) 1994-09-20 1996-04-04 Neopath, Inc. Biological specimen analysis system processing integrity checking apparatus
US5647025A (en) 1994-09-20 1997-07-08 Neopath, Inc. Automatic focusing of biomedical specimens apparatus
US5553111A (en) 1994-10-26 1996-09-03 The General Hospital Corporation Apparatus and method for improved tissue imaging
US5712890A (en) 1994-11-23 1998-01-27 Thermotrex Corp. Full breast digital mammography device
US5506877A (en) 1994-11-23 1996-04-09 The General Hospital Corporation Mammography breast compression device and method
US5657362A (en) 1995-02-24 1997-08-12 Arch Development Corporation Automated method and system for computerized detection of masses and parenchymal distortions in medical images
US5660185A (en) * 1995-04-13 1997-08-26 Neovision Corporation Image-guided biopsy apparatus with enhanced imaging and methods
US5671288A (en) 1995-05-31 1997-09-23 Neopath, Inc. Method and apparatus for assessing slide and specimen preparation quality
US6216540B1 (en) 1995-06-06 2001-04-17 Robert S. Nelson High resolution device and method for imaging concealed objects within an obscuring medium
WO1997000649A1 (en) 1995-06-20 1997-01-09 Wan Sing Ng Articulated arm for medical procedures
US5642433A (en) 1995-07-31 1997-06-24 Neopath, Inc. Method and apparatus for image contrast quality evaluation
US5642441A (en) 1995-10-24 1997-06-24 Neopath, Inc. Separation apparatus and method for measuring focal plane
US5818898A (en) 1995-11-07 1998-10-06 Kabushiki Kaisha Toshiba X-ray imaging apparatus using X-ray planar detector
US5693948A (en) 1995-11-21 1997-12-02 Loral Fairchild Corporation Advanced CCD-based x-ray image sensor system
US5627869A (en) 1995-11-22 1997-05-06 Thermotrex Corporation Mammography apparatus with proportional collimation
FI955636A0 (fi) 1995-11-23 1995-11-23 Planmed Oy Foerfarande och system foer styrning av funktionerna av en mammografiaanordning
EP0864082B1 (en) 1995-11-30 2003-04-02 Chromavision Medical Systems, Inc. Method for automated image analysis of biological specimens
US5769086A (en) 1995-12-06 1998-06-23 Biopsys Medical, Inc. Control system and method for automated biopsy device
JPH09198490A (ja) 1996-01-22 1997-07-31 Hitachi Medical Corp ３次元離散データ投影装置
JPH09238934A (ja) 1996-03-11 1997-09-16 Toshiba Medical Eng Co Ltd 画像表示システム
DE19619913C2 (de) 1996-05-17 2001-03-15 Sirona Dental Systems Gmbh Röntgendiagnostikgerät für Tomosynthese
DE19619925C2 (de) 1996-05-17 1999-09-09 Sirona Dental Systems Gmbh Röntgendiagnostikgerät für Tomosynthese
DE19619924A1 (de) 1996-05-17 1997-11-20 Siemens Ag Verfahren zur Erstellung von Tomosyntheseaufnahmen
DE19619915A1 (de) 1996-05-17 1997-11-20 Siemens Ag Verfahren zur Erstellung von Tomosyntheseaufnahmen
US5835079A (en) 1996-06-13 1998-11-10 International Business Machines Corporation Virtual pointing device for touchscreens
US6067079A (en) 1996-06-13 2000-05-23 International Business Machines Corporation Virtual pointing device for touchscreens
US5841124A (en) 1996-06-19 1998-11-24 Neopath, Inc. Cytological system autofocus integrity checking apparatus
US5872828A (en) 1996-07-23 1999-02-16 The General Hospital Corporation Tomosynthesis system for breast imaging
JPH1033523A (ja) 1996-07-24 1998-02-10 Hitachi Medical Corp Ｘ線ｃｔ装置
US5776062A (en) 1996-10-15 1998-07-07 Fischer Imaging Corporation Enhanced breast imaging/biopsy system employing targeted ultrasound
US5986662A (en) 1996-10-16 1999-11-16 Vital Images, Inc. Advanced diagnostic viewer employing automated protocol selection for volume-rendered imaging
US6293282B1 (en) 1996-11-05 2001-09-25 Jerome Lemelson System and method for treating select tissue in living being
JP3878259B2 (ja) 1996-11-13 2007-02-07 東芝医用システムエンジニアリング株式会社 医用画像処理装置
US6137527A (en) 1996-12-23 2000-10-24 General Electric Company System and method for prompt-radiology image screening service via satellite
US7117098B1 (en) 1997-02-27 2006-10-03 Cellomics, Inc. Machine-readable storage medium for analyzing distribution of macromolecules between the cell membrane and the cell cytoplasm
US5999639A (en) 1997-09-04 1999-12-07 Qualia Computing, Inc. Method and system for automated detection of clustered microcalcifications from digital mammograms
US20030135115A1 (en) 1997-11-24 2003-07-17 Burdette Everette C. Method and apparatus for spatial registration and mapping of a biopsy needle during a tissue biopsy
US6442288B1 (en) 1997-12-17 2002-08-27 Siemens Aktiengesellschaft Method for reconstructing a three-dimensional image of an object scanned in the context of a tomosynthesis, and apparatus for tomosynthesis
JP3554172B2 (ja) 1998-01-09 2004-08-18 キヤノン株式会社 放射線撮影装置
US6175117B1 (en) 1998-01-23 2001-01-16 Quanta Vision, Inc. Tissue analysis apparatus
US6289235B1 (en) 1998-03-05 2001-09-11 Wake Forest University Method and system for creating three-dimensional images using tomosynthetic computed tomography
US6081577A (en) 1998-07-24 2000-06-27 Wake Forest University Method and system for creating task-dependent three-dimensional images
US6375352B1 (en) 1999-10-01 2002-04-23 General Electric Company Apparatus and method for obtaining x-ray tomosynthesis data for mammography
US6141398A (en) 1998-08-25 2000-10-31 General Electric Company Protocol driven image reconstruction, display, and processing in a multislice imaging system
US6101236A (en) 1998-10-02 2000-08-08 University Of Iowa Research Foundation Iterative method and apparatus for x-ray computed tomographic fluoroscopy
EP1143845A4 (en) 1998-11-25 2004-10-06 Fischer Imaging Corp USER INTERFACE SYSTEM FOR MAMMOGRAPHIC IMAGERS
FR2786388B1 (fr) 1998-11-27 2001-02-16 Ge Medical Syst Sa Procede de detection d'un tissu de nature determinee en radiologie numerique et son utilisation pour le reglage des parametres d'exposition
US6149301A (en) 1998-12-30 2000-11-21 General Electric Company X-ray target centering apparatus for radiographic imaging system
JP2000200340A (ja) 1999-01-06 2000-07-18 Ge Yokogawa Medical Systems Ltd 画像表示方法、画像表示装置およびｃｔ装置
EP1149456A4 (en) 1999-01-29 2006-04-12 American Superconductor Corp MAGNETIC ENERGY STORAGE ELECTRICITY DISTRIBUTION SYSTEM IN SUPERCONDUCTING DEVICES
US6424332B1 (en) 1999-01-29 2002-07-23 Hunter Innovations, Inc. Image comparison apparatus and method
US6233473B1 (en) 1999-02-16 2001-05-15 Hologic, Inc. Determining body composition using fan beam dual-energy x-ray absorptiometry
US6272207B1 (en) 1999-02-18 2001-08-07 Creatv Microtech, Inc. Method and apparatus for obtaining high-resolution digital X-ray and gamma ray images
US6256370B1 (en) 2000-01-24 2001-07-03 General Electric Company Method and apparatus for performing tomosynthesis
US6689142B1 (en) 1999-04-26 2004-02-10 Scimed Life Systems, Inc. Apparatus and methods for guiding a needle
US6292530B1 (en) 1999-04-29 2001-09-18 General Electric Company Method and apparatus for reconstructing image data acquired by a tomosynthesis x-ray imaging system
DE19922346C2 (de) 1999-05-14 2003-06-18 Siemens Ag Röntgendiagnostikeinrichtung für Tomosynthese oder Schichtung
US6243441B1 (en) 1999-07-13 2001-06-05 Edge Medical Devices Active matrix detector for X-ray imaging
US20020173721A1 (en) 1999-08-20 2002-11-21 Novasonics, Inc. User interface for handheld imaging devices
US6987831B2 (en) 1999-11-18 2006-01-17 University Of Rochester Apparatus and method for cone beam volume computed tomography breast imaging
US6480565B1 (en) * 1999-11-18 2002-11-12 University Of Rochester Apparatus and method for cone beam volume computed tomography breast imaging
US6245028B1 (en) 1999-11-24 2001-06-12 Marconi Medical Systems, Inc. Needle biopsy system
US6633674B1 (en) 1999-11-24 2003-10-14 General Electric Company Picture archiving and communication system employing improved data compression
US6645520B2 (en) 1999-12-16 2003-11-11 Dermatrends, Inc. Transdermal administration of nonsteroidal anti-inflammatory drugs using hydroxide-releasing agents as permeation enhancers
FR2803069B1 (fr) 1999-12-28 2002-12-13 Ge Medical Syst Sa Procede et systeme de compensation de l'epaisseur d'un organe
US8352289B2 (en) 1999-12-30 2013-01-08 Dhi Computing, Inc. Systems and methods for providing and maintaining electronic medical records
US6411836B1 (en) 1999-12-30 2002-06-25 General Electric Company Method and apparatus for user preferences configuring in an image handling system
US6901156B2 (en) 2000-02-04 2005-05-31 Arch Development Corporation Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images
US6744848B2 (en) 2000-02-11 2004-06-01 Brandeis University Method and system for low-dose three-dimensional imaging of a scene
US6960020B2 (en) 2001-08-31 2005-11-01 Analogic Corporation Image positioning method and system for tomosynthesis in a digital X-ray radiography system
GB0006598D0 (en) 2000-03-17 2000-05-10 Isis Innovation Three-dimensional reconstructions from images
US6351660B1 (en) 2000-04-18 2002-02-26 Litton Systems, Inc. Enhanced visualization of in-vivo breast biopsy location for medical documentation
US6327336B1 (en) 2000-06-05 2001-12-04 Direct Radiography Corp. Radiogram showing location of automatic exposure control sensor
US6683934B1 (en) 2000-06-05 2004-01-27 General Electric Company Dual energy x-ray imaging system and method for radiography and mammography
US6389104B1 (en) 2000-06-30 2002-05-14 Siemens Corporate Research, Inc. Fluoroscopy based 3-D neural navigation based on 3-D angiography reconstruction data
JP2002052018A (ja) 2000-08-11 2002-02-19 Canon Inc 画像表示装置、画像表示方法および記憶媒体
JP2002109510A (ja) 2000-09-27 2002-04-12 Fuji Photo Film Co Ltd 異常陰影候補検出処理システム
JP2004512081A (ja) 2000-10-20 2004-04-22 コーニンクレッカ　フィリップス　エレクトロニクス　エヌ　ヴィ 限られた角度範囲での断層写真合成法
GB2376633B (en) 2000-11-06 2004-11-10 Suros Surgical Systems Inc Biopsy apparatus
US6758824B1 (en) 2000-11-06 2004-07-06 Suros Surgical Systems, Inc. Biopsy apparatus
US6468226B1 (en) 2000-11-22 2002-10-22 Mcintyre, Iv John J. Remote tissue biopsy apparatus and associated methods
US7615008B2 (en) 2000-11-24 2009-11-10 U-Systems, Inc. Processing and displaying breast ultrasound information
US7103205B2 (en) 2000-11-24 2006-09-05 U-Systems, Inc. Breast cancer screening with ultrasound image overlays
US7597663B2 (en) 2000-11-24 2009-10-06 U-Systems, Inc. Adjunctive ultrasound processing and display for breast cancer screening
US7556602B2 (en) 2000-11-24 2009-07-07 U-Systems, Inc. Breast cancer screening with adjunctive ultrasound mammography
US6650928B1 (en) 2000-11-27 2003-11-18 Ge Medical Systems Global Technology Company, Llc Color parametric and composite maps for CT perfusion
US6501819B2 (en) 2000-12-18 2002-12-31 Ge Medical Systems Global Technology Company, Llc Medical diagnostic method and apparatus to control dual energy exposure techniques based on image information
FR2818116B1 (fr) 2000-12-19 2004-08-27 Ge Med Sys Global Tech Co Llc Appareil de mammographie
US6463181B2 (en) 2000-12-22 2002-10-08 The United States Of America As Represented By The Secretary Of The Navy Method for optimizing visual display of enhanced digital images
WO2002052507A1 (en) 2000-12-22 2002-07-04 Koninklijke Philips Electronics N.V. Stereoscopic viewing of a region between clipping planes
WO2002065480A1 (en) 2001-02-01 2002-08-22 Creatv Microtech, Inc. tNTI-SCATTER GRIDS AND COLLIMATOR DESIGNS, AND THEIR MOTION, FABRICATION AND ASSEMBLY
US7030861B1 (en) 2001-02-10 2006-04-18 Wayne Carl Westerman System and method for packing multi-touch gestures onto a hand
US6486764B2 (en) 2001-02-16 2002-11-26 Delphi Technologies, Inc. Rotary position sensor
US20020188466A1 (en) 2001-04-18 2002-12-12 Barrette Pierre Philip Secure digital medical intellectual property (IP) distribution, market applications, and mobile devices
US6620111B2 (en) 2001-04-20 2003-09-16 Ethicon Endo-Surgery, Inc. Surgical biopsy device having automatic rotation of the probe for taking multiple samples
US6965793B2 (en) 2001-06-28 2005-11-15 Chemimage Corporation Method for Raman chemical imaging of endogenous chemicals to reveal tissue lesion boundaries in tissue
US6611575B1 (en) 2001-07-27 2003-08-26 General Electric Company Method and system for high resolution 3D visualization of mammography images
WO2003017244A1 (en) 2001-08-17 2003-02-27 Multidigit, Inc. System and method for selecting actions based on the identification of user's fingers
US20030072478A1 (en) 2001-10-12 2003-04-17 Claus Bernhard Erich Hermann Reconstruction method for tomosynthesis
WO2003037046A2 (en) 2001-10-19 2003-05-01 Hologic, Inc. Mammography system and method employing offset compression paddles, automatic collimation, and retractable anti-scatter grid
US6626849B2 (en) 2001-11-01 2003-09-30 Ethicon Endo-Surgery, Inc. MRI compatible surgical biopsy device
EP1313066B1 (en) 2001-11-19 2008-08-27 STMicroelectronics S.r.l. A method for merging digital images to obtain a high dynamic range digital image
US6895077B2 (en) 2001-11-21 2005-05-17 University Of Massachusetts Medical Center System and method for x-ray fluoroscopic imaging
US6751285B2 (en) 2001-11-21 2004-06-15 General Electric Company Dose management system for mammographic tomosynthesis
US20030097055A1 (en) 2001-11-21 2003-05-22 Philips Medical Systems(Cleveland), Inc. Method of reviewing tomographic scans with a large number of images
JP4099984B2 (ja) 2001-12-14 2008-06-11 コニカミノルタホールディングス株式会社 異常陰影検出装置および画像出力装置
US6978040B2 (en) 2001-12-19 2005-12-20 Canon Kabushiki Kaisha Optical recovery of radiographic geometry
US6647092B2 (en) 2002-01-18 2003-11-11 General Electric Company Radiation imaging system and method of collimation
SE524458C2 (sv) 2002-03-01 2004-08-10 Mamea Imaging Ab Skyddsanordning vid en röntgenapparat
US7346381B2 (en) 2002-11-01 2008-03-18 Ge Medical Systems Global Technology Company Llc Method and apparatus for medical intervention procedure planning
US6878115B2 (en) 2002-03-28 2005-04-12 Ultrasound Detection Systems, Llc Three-dimensional ultrasound computed tomography imaging system
US6882700B2 (en) 2002-04-15 2005-04-19 General Electric Company Tomosynthesis X-ray mammogram system and method with automatic drive system
US20030194050A1 (en) 2002-04-15 2003-10-16 General Electric Company Multi modality X-ray and nuclear medicine mammography imaging system and method
US7218766B2 (en) 2002-04-15 2007-05-15 General Electric Company Computer aided detection (CAD) for 3D digital mammography
US6752767B2 (en) 2002-04-16 2004-06-22 Vivant Medical, Inc. Localization element with energized tip
US7139000B2 (en) 2002-05-13 2006-11-21 Ge Medical Systems Global Technology Company, Llc Method, system and computer product for displaying axial images
US7295691B2 (en) 2002-05-15 2007-11-13 Ge Medical Systems Global Technology Company, Llc Computer aided diagnosis of an image set
US11275405B2 (en) 2005-03-04 2022-03-15 Apple Inc. Multi-functional hand-held device
US7599579B2 (en) 2002-07-11 2009-10-06 Ge Medical Systems Global Technology Company, Llc Interpolated image filtering method and apparatus
US7450747B2 (en) 2002-07-12 2008-11-11 Ge Medical Systems Global Technology Company, Llc System and method for efficiently customizing an imaging system
US20040036680A1 (en) 2002-08-26 2004-02-26 Mark Davis User-interface features for computers with contact-sensitive displays
US6898331B2 (en) 2002-08-28 2005-05-24 Bae Systems Aircraft Controls, Inc. Image fusion system and method
US6574304B1 (en) 2002-09-13 2003-06-03 Ge Medical Systems Global Technology Company, Llc Computer aided acquisition of medical images
US6748044B2 (en) 2002-09-13 2004-06-08 Ge Medical Systems Global Technology Company, Llc Computer assisted analysis of tomographic mammography data
US7260249B2 (en) 2002-09-27 2007-08-21 Confirma Incorporated Rules-based approach for processing medical images
US7347829B2 (en) 2002-10-07 2008-03-25 Suros Surgical Systems, Inc. Introduction system for minimally invasive surgical instruments
US6940943B2 (en) 2002-10-07 2005-09-06 General Electric Company Continuous scan tomosynthesis system and method
US6825838B2 (en) 2002-10-11 2004-11-30 Sonocine, Inc. 3D modeling system
US20040171933A1 (en) 2002-11-25 2004-09-02 Milton Stoller Mammography needle biopsy system and method
US7577282B2 (en) 2002-11-27 2009-08-18 Hologic, Inc. Image handling and display in X-ray mammography and tomosynthesis
US7831296B2 (en) 2002-11-27 2010-11-09 Hologic, Inc. X-ray mammography with tomosynthesis
US7123684B2 (en) 2002-11-27 2006-10-17 Hologic, Inc. Full field mammography with tissue exposure control, tomosynthesis, and dynamic field of view processing
US7616801B2 (en) 2002-11-27 2009-11-10 Hologic, Inc. Image handling and display in x-ray mammography and tomosynthesis
US8571289B2 (en) 2002-11-27 2013-10-29 Hologic, Inc. System and method for generating a 2D image from a tomosynthesis data set
US7760924B2 (en) 2002-11-27 2010-07-20 Hologic, Inc. System and method for generating a 2D image from a tomosynthesis data set
US6597762B1 (en) 2002-11-27 2003-07-22 Ge Medical Systems Global Technology Co., Llc Method and apparatus of lesion detection and validation based on multiple reviews of a CT image
US7406150B2 (en) 2002-11-29 2008-07-29 Hologic, Inc. Distributed architecture for mammographic image acquisition and processing
US7904824B2 (en) 2002-12-10 2011-03-08 Siemens Medical Solutions Usa, Inc. Medical imaging programmable custom user interface system and method
US7110490B2 (en) 2002-12-10 2006-09-19 General Electric Company Full field digital tomosynthesis method and apparatus
EP1430835B1 (en) 2002-12-17 2011-11-16 Kabushiki Kaisha Toshiba System for peripheral X-ray angiography
US7286634B2 (en) 2002-12-23 2007-10-23 Select Technologies, Llc Method and apparatus for improving baggage screening examination
US7356113B2 (en) 2003-02-12 2008-04-08 Brandeis University Tomosynthesis imaging system and method
JP4604451B2 (ja) 2003-02-24 2011-01-05 コニカミノルタホールディングス株式会社 医用画像処理装置及び悪性度の判定方法
US7333644B2 (en) 2003-03-11 2008-02-19 Siemens Medical Solutions Usa, Inc. Systems and methods for providing automatic 3D lesion segmentation and measurements
JP4497837B2 (ja) 2003-05-12 2010-07-07 キヤノン株式会社 放射線画像撮影装置
JP2007524461A (ja) 2003-06-25 2007-08-30 シーメンス　メディカル　ソリューションズ　ユーエスエー　インコーポレイテッド 乳房撮像の自動診断及び決定支援システム及び方法
US6885724B2 (en) 2003-08-22 2005-04-26 Ge Medical Systems Global Technology Company, Llc Radiographic tomosynthesis image acquisition utilizing asymmetric geometry
US8090164B2 (en) 2003-08-25 2012-01-03 The University Of North Carolina At Chapel Hill Systems, methods, and computer program products for analysis of vessel attributes for diagnosis, disease staging, and surgical planning
US7424141B2 (en) 2003-08-29 2008-09-09 Agilent Technologies, Inc. System and method for performing auto-focused tomosynthesis
US7578781B2 (en) 2003-09-18 2009-08-25 Wisconsin Alumni Research Foundation Device for placement of needles and radioactive seeds in radiotherapy
US7869862B2 (en) 2003-10-15 2011-01-11 Varian Medical Systems, Inc. Systems and methods for functional imaging using contrast-enhanced multiple-energy computed tomography
US20050089205A1 (en) 2003-10-23 2005-04-28 Ajay Kapur Systems and methods for viewing an abnormality in different kinds of images
US20050113680A1 (en) 2003-10-29 2005-05-26 Yoshihiro Ikeda Cerebral ischemia diagnosis assisting apparatus, X-ray computer tomography apparatus, and apparatus for aiding diagnosis and treatment of acute cerebral infarct
JP2005149107A (ja) 2003-11-14 2005-06-09 Konica Minolta Medical & Graphic Inc 医用画像管理システム
DE10353611B4 (de) 2003-11-17 2013-01-17 Siemens Aktiengesellschaft Röntgendiagnostikgerät für Mammographieuntersuchungen
US8768026B2 (en) 2003-11-26 2014-07-01 Hologic, Inc. X-ray imaging with x-ray markers that provide adjunct information but preserve image quality
US8265728B2 (en) * 2003-11-26 2012-09-11 University Of Chicago Automated method and system for the evaluation of disease and registration accuracy in the subtraction of temporally sequential medical images
EP1694210B1 (en) 2003-11-26 2012-03-28 Koninklijke Philips Electronics N.V. Workflow optimization for high throughput imaging environment
US7727151B2 (en) 2003-11-28 2010-06-01 U-Systems Inc. Navigation among multiple breast ultrasound volumes
US7773721B2 (en) 2003-12-03 2010-08-10 The General Hospital Corporation Multi-segment cone-beam reconstruction system and method for tomosynthesis imaging
US20050135555A1 (en) 2003-12-23 2005-06-23 Claus Bernhard Erich H. Method and system for simultaneously viewing rendered volumes
US7653229B2 (en) 2003-12-23 2010-01-26 General Electric Company Methods and apparatus for reconstruction of volume data from projection data
CN1933787A (zh) 2004-01-23 2007-03-21 特拉克斯医疗有限公司 在体内目标位置上完成某些程序的方法和装置
US7298881B2 (en) 2004-02-13 2007-11-20 University Of Chicago Method, system, and computer software product for feature-based correlation of lesions from multiple images
US7289825B2 (en) 2004-03-15 2007-10-30 General Electric Company Method and system for utilizing wireless voice technology within a radiology workflow
US7142633B2 (en) 2004-03-31 2006-11-28 General Electric Company Enhanced X-ray imaging system and method
US7699783B2 (en) 2004-04-08 2010-04-20 Techniscan, Inc. Method for imaging and treating a breast
JP4691552B2 (ja) 2004-05-14 2011-06-01 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ 乳癌診断システム及び方法
GB0411402D0 (en) 2004-05-21 2004-06-23 Tissuomics Ltd Penetrating radiation measurements
US7835562B2 (en) 2004-07-23 2010-11-16 General Electric Company Methods and apparatus for noise reduction filtering of images
US20090037821A1 (en) 2004-07-23 2009-02-05 O'neal David Sheldon System And Method For Electronic Presentations
FR2873835A1 (fr) 2004-07-29 2006-02-03 Gen Electric Procede et dispositif d'imagerie aux rayons x avec produit de contraste permettant une visualisation amelioree
WO2006020874A2 (en) 2004-08-10 2006-02-23 The Research Foundation Flat-panel detector with avalanche gain
US7725153B2 (en) 2004-10-04 2010-05-25 Hologic, Inc. Estimating visceral fat by dual-energy x-ray absorptiometry
EP2602743B1 (en) 2004-11-15 2014-11-05 Hologic, Inc. Matching geometry generation and display of mammograms and tomosynthesis images
US7869563B2 (en) * 2004-11-26 2011-01-11 Hologic, Inc. Integrated multi-mode mammography/tomosynthesis x-ray system and method
US20060132508A1 (en) 2004-12-16 2006-06-22 Navid Sadikali Multi-planar image viewing system and method
CA2634466A1 (en) 2004-12-22 2006-06-29 Bio-Tree Systems, Inc. Medical imaging methods and apparatus for diagnosis and monitoring of diseases and uses therefor
US7616793B2 (en) 2004-12-30 2009-11-10 Hologic, Inc. Medical image review workstation with integrated content-based resource retrieval
US9760214B2 (en) 2005-02-23 2017-09-12 Zienon, Llc Method and apparatus for data entry input
US7859549B2 (en) 2005-03-08 2010-12-28 Agfa Inc. Comparative image review system and method
US20060210131A1 (en) 2005-03-15 2006-09-21 Wheeler Frederick W Jr Tomographic computer aided diagnosis (CAD) with multiple reconstructions
US8373652B2 (en) 2005-04-06 2013-02-12 Kabushiki Kaisha Toshiba Image display apparatus and image display method
JP5038643B2 (ja) 2005-04-06 2012-10-03 株式会社東芝 画像表示装置
WO2006119426A2 (en) 2005-05-03 2006-11-09 Regents Of The University Of California Biopsy systems for breast computed tomography
DE102005022543A1 (de) 2005-05-17 2006-11-23 Siemens Ag Mammographieverfahren und Mammographiegerät
EP1893077A4 (en) 2005-06-02 2011-02-09 Medipattern Corp COMPUTER-ASSISTED NACHWEISS SYSTEM AND METHOD
US7606801B2 (en) 2005-06-07 2009-10-20 Varonis Inc. Automatic management of storage access control
US7809175B2 (en) 2005-07-01 2010-10-05 Hologic, Inc. Displaying and navigating computer-aided detection results on a review workstation
US7245694B2 (en) 2005-08-15 2007-07-17 Hologic, Inc. X-ray mammography/tomosynthesis of patient's breast
WO2007027610A2 (en) 2005-08-30 2007-03-08 Bruce Reiner Multi-functional navigational device and method
DE202005013910U1 (de) 2005-09-02 2005-11-24 Siemens Ag Mammographiegerät mit Gesichtsschild
US20070052700A1 (en) 2005-09-07 2007-03-08 Wheeler Frederick W System and method for 3D CAD using projection images
US10008184B2 (en) 2005-11-10 2018-06-26 Hologic, Inc. System and method for generating a 2D image using mammography and/or tomosynthesis image data
US7342233B2 (en) 2005-11-18 2008-03-11 Sectra Mamea Ab Method and arrangement relating to x-ray imaging
US20070118400A1 (en) 2005-11-22 2007-05-24 General Electric Company Method and system for gesture recognition to drive healthcare applications
US20070236490A1 (en) 2005-11-25 2007-10-11 Agfa-Gevaert Medical image display and review system
JP2009522005A (ja) 2005-12-29 2009-06-11 ケアストリーム ヘルス インク 時間横断的かつモダリティ横断的な医療診断
US7581399B2 (en) 2006-01-05 2009-09-01 United Technologies Corporation Damped coil pin for attachment hanger hinge
US20070156451A1 (en) 2006-01-05 2007-07-05 Gering David T System and method for portable display of relevant healthcare information
WO2007095330A2 (en) 2006-02-15 2007-08-23 Hologic Inc Breast biopsy and needle localization using tomosynthesis systems
US20070223651A1 (en) 2006-03-21 2007-09-27 Wagenaar Douglas J Dual modality mammography device
US7489761B2 (en) 2006-03-27 2009-02-10 Hologic, Inc. Breast compression for digital mammography, tomosynthesis and other modalities
EP2046223B1 (en) * 2006-04-12 2011-03-02 NAVAB, Nassir Virtual penetrating mirror device for visualizing virtual objects in angiographic applications
US8471866B2 (en) 2006-05-05 2013-06-25 General Electric Company User interface and method for identifying related information displayed in an ultrasound system
US7945083B2 (en) 2006-05-25 2011-05-17 Carestream Health, Inc. Method for supporting diagnostic workflow from a medical imaging apparatus
JP2007330334A (ja) 2006-06-12 2007-12-27 Toshiba Corp Ｘ線撮影装置及びその方法
US7974924B2 (en) 2006-07-19 2011-07-05 Mvisum, Inc. Medical data encryption for communication over a vulnerable system
CN100444800C (zh) 2006-07-25 2008-12-24 倪湘申 微创手术x线穿刺定位装置及方法
US20090080602A1 (en) 2006-08-03 2009-03-26 Kenneth Brooks Dedicated breast radiation imaging/therapy system
US20080043905A1 (en) 2006-08-21 2008-02-21 Bamdad Hassanpourgol Portable Prone Stereotactic Mammography System for Biopsies, Image Guided Lumpectomies, and Radiation Treatment
JP2008068032A (ja) 2006-09-15 2008-03-27 Toshiba Corp 画像表示装置
US20080139896A1 (en) 2006-10-13 2008-06-12 Siemens Medical Solutions Usa, Inc. System and Method for Graphical Annotation of Anatomical Images Using a Touch Screen Display
US7991105B2 (en) 2006-10-17 2011-08-02 Koninklijke Philips Electronics N.V. Visualization of 3D images in combination with 2D projection images
JP4851296B2 (ja) 2006-10-26 2012-01-11 富士フイルム株式会社 放射線断層画像取得装置および放射線断層画像取得方法
US20080114614A1 (en) 2006-11-15 2008-05-15 General Electric Company Methods and systems for healthcare application interaction using gesture-based interaction enhanced with pressure sensitivity
US8280488B2 (en) 2006-11-24 2012-10-02 Huisman Henkjan J Processing and displaying dynamic contrast-enhanced magnetic resonance imaging information
US7769219B2 (en) 2006-12-11 2010-08-03 Cytyc Corporation Method for assessing image focus quality
US8044972B2 (en) 2006-12-21 2011-10-25 Sectra Mamea Ab Synchronized viewing of tomosynthesis and/or mammograms
US8051386B2 (en) 2006-12-21 2011-11-01 Sectra Ab CAD-based navigation of views of medical image data stacks or volumes
US8091045B2 (en) 2007-01-07 2012-01-03 Apple Inc. System and method for managing lists
US10682107B2 (en) 2007-01-31 2020-06-16 Philips Digital Mammography Sweden Ab Method and arrangement relating to x-ray imaging
US20080221478A1 (en) 2007-03-07 2008-09-11 Ritchie Paul G Integrated Imaging and Biopsy System with Integrated Control Interface
JP4888165B2 (ja) 2007-03-12 2012-02-29 富士ゼロックス株式会社 画像処理装置及びプログラム
US8155417B2 (en) 2007-03-27 2012-04-10 Hologic, Inc. Post-acquisition adaptive reconstruction of MRI data
JP5656339B2 (ja) 2007-03-28 2015-01-21 Jsr株式会社 タンパク質固定化担体およびその製造方法
US7936341B2 (en) 2007-05-30 2011-05-03 Microsoft Corporation Recognizing selection regions from multiple simultaneous inputs
US7889175B2 (en) 2007-06-28 2011-02-15 Panasonic Corporation Touchpad-enabled remote controller and user interaction methods
US9427201B2 (en) 2007-06-30 2016-08-30 Accuray Incorporated Non-invasive method for using 2D angiographic images for radiosurgical target definition
FR2919747B1 (fr) 2007-08-02 2009-11-06 Gen Electric Procede et systeme d'affichage d'images de tomosynthese
WO2009026587A1 (en) 2007-08-23 2009-02-26 Fischer Medical Technologies, Inc. Improved computed tomography breast imaging and biopsy system
JP5421266B2 (ja) 2007-09-14 2014-02-19 パナソニック・アビオニクス・コーポレイション 乗物用情報システムのための携帯型ユーザ用操作デバイスおよび操作方法
US7630533B2 (en) 2007-09-20 2009-12-08 Hologic, Inc. Breast tomosynthesis with display of highlighted suspected calcifications
US8126226B2 (en) 2007-09-20 2012-02-28 General Electric Company System and method to generate a selected visualization of a radiological image of an imaged subject
US7929743B2 (en) 2007-10-02 2011-04-19 Hologic, Inc. Displaying breast tomosynthesis computer-aided detection results
US8107700B2 (en) 2007-11-21 2012-01-31 Merge Cad Inc. System and method for efficient workflow in reading medical image data
FR2924010B1 (fr) 2007-11-23 2010-11-26 Gen Electric Perfectionnements aux appareils de mammographie
US20090138280A1 (en) 2007-11-26 2009-05-28 The General Electric Company Multi-stepped default display protocols
CN101983033B (zh) 2007-12-21 2014-09-03 科宁公司 锥光束ct成像和图像引导程序的方法和装置
US20090167702A1 (en) 2008-01-02 2009-07-02 Nokia Corporation Pointing device detection
JP5294654B2 (ja) 2008-02-29 2013-09-18 富士フイルム株式会社 画像表示方法および装置
JP5558672B2 (ja) 2008-03-19 2014-07-23 株式会社東芝 画像処理装置及びｘ線コンピュータ断層撮影装置
KR100977385B1 (ko) 2008-04-10 2010-08-20 주식회사 팬택 위젯형 대기화면을 제어할 수 있는 이동 단말기 및 그를이용한 대기화면 제어 방법
US20110178389A1 (en) 2008-05-02 2011-07-21 Eigen, Inc. Fused image moldalities guidance
US20100177053A2 (en) 2008-05-09 2010-07-15 Taizo Yasutake Method and apparatus for control of multiple degrees of freedom of a display
JP5224451B2 (ja) 2008-06-03 2013-07-03 富士フイルム株式会社 投影画像作成装置、方法およびプログラム
US8031835B2 (en) 2008-08-07 2011-10-04 Xcision Medical Systems Llc Method and system for translational digital tomosynthesis mammography
US9848849B2 (en) 2008-08-21 2017-12-26 General Electric Company System and method for touch screen control of an ultrasound system
US7991106B2 (en) 2008-08-29 2011-08-02 Hologic, Inc. Multi-mode tomosynthesis/mammography gain calibration and image correction using gain map information from selected projection angles
WO2010028208A1 (en) 2008-09-04 2010-03-11 Hologic, Inc. Integrated multi-mode mammography/tomosynthesis x-ray system and method
US8284170B2 (en) 2008-09-30 2012-10-09 Apple Inc. Touch screen device, method, and graphical user interface for moving on-screen objects without using a cursor
US20100088346A1 (en) 2008-10-08 2010-04-08 General Electric Company Method and system for attaching objects to a data repository
US7940891B2 (en) 2008-10-22 2011-05-10 Varian Medical Systems, Inc. Methods and systems for treating breast cancer using external beam radiation
US8543415B2 (en) 2008-11-26 2013-09-24 General Electric Company Mobile medical device image and series navigation
US20100131482A1 (en) 2008-11-26 2010-05-27 General Electric Company Adaptive user interface systems and methods for healthcare applications
WO2010062979A2 (en) 2008-11-28 2010-06-03 Fujifilm Medical Systems Usa, Inc. Active overlay system and method for accessing and manipulating imaging dislays
US9146663B2 (en) 2008-12-08 2015-09-29 Hologic, Inc. Displaying computer-aided detection information with associated breast tomosynthesis image information
US8547402B2 (en) 2009-10-07 2013-10-01 Hologic, Inc. Displaying computer-aided detection information with associated breast tomosynthesis image information
JP2010137004A (ja) 2008-12-15 2010-06-24 Fujifilm Corp 放射線画像処理システム及び処理方法
US8184890B2 (en) 2008-12-26 2012-05-22 Three Palm Software Computer-aided diagnosis and visualization of tomosynthesis mammography data
JP2010188003A (ja) * 2009-02-19 2010-09-02 Fujifilm Corp 画像表示システム及び画像撮影表示システム
DE102009015007A1 (de) 2009-03-26 2010-10-21 Siemens Aktiengesellschaft Verfahren zur Auswertung einer Zeitserie von zweidimensionalen Bildern einer Testbolusmessung und medizinische Bildaufnahmeeinrichtung
JP5373450B2 (ja) 2009-03-31 2013-12-18 富士フイルム株式会社 生検装置及び生検装置の動作方法
US8300023B2 (en) 2009-04-10 2012-10-30 Qualcomm Incorporated Virtual keypad generator with learning capabilities
US8217357B2 (en) 2009-04-13 2012-07-10 Hologic, Inc. Integrated breast X-ray and molecular imaging system
US9113124B2 (en) 2009-04-13 2015-08-18 Linkedin Corporation Method and system for still image capture from video footage
US8677282B2 (en) 2009-05-13 2014-03-18 International Business Machines Corporation Multi-finger touch adaptations for medical imaging systems
US8639056B2 (en) 2009-06-29 2014-01-28 Thomson Licensing Contrast enhancement
WO2011006257A1 (en) 2009-07-16 2011-01-20 Karim Karim S Multi-layer flat panel x-ray detector
FR2948481B1 (fr) * 2009-07-27 2012-01-20 Gen Electric Procede d'imagerie pour la realisation d'une modelisation en triple energie, et dispositif pour la mise en oeuvre d'un tel procede
US8644644B2 (en) 2009-09-14 2014-02-04 Adobe Systems Incorporation Methods and apparatus for blending images
JP5572440B2 (ja) 2009-09-15 2014-08-13 富士フイルム株式会社 診断支援システム、診断支援プログラムおよび診断支援方法
KR101616874B1 (ko) 2009-09-23 2016-05-02 삼성전자주식회사 다중 영상 합성 방법 및 그 장치
WO2011042833A1 (en) 2009-10-05 2011-04-14 Koninklijke Philips Electronics N.V. Interactive selection of a volume of interest in an image
US10595954B2 (en) 2009-10-08 2020-03-24 Hologic, Inc. Needle breast biopsy system and method for use
US20110110570A1 (en) 2009-11-10 2011-05-12 Avi Bar-Shalev Apparatus and methods for generating a planar image
US9183355B2 (en) 2009-11-24 2015-11-10 Penrad Technologies, Inc. Mammography information system
JP2011110175A (ja) 2009-11-26 2011-06-09 Konica Minolta Medical & Graphic Inc 医用画像表示システム及びプログラム
WO2011065950A1 (en) 2009-11-27 2011-06-03 Qview Medical, Inc. Interactive display of computer aided detection radiological screening results combined with quantitative prompts
US20120014578A1 (en) 2010-07-19 2012-01-19 Qview Medical, Inc. Computer Aided Detection Of Abnormalities In Volumetric Breast Ultrasound Scans And User Interface
CN102656608B (zh) 2009-12-17 2016-02-24 皇家飞利浦电子股份有限公司 重建感兴趣对象
US8027582B2 (en) 2009-12-21 2011-09-27 Sony Corporation Autofocus with confidence measure
US9451924B2 (en) 2009-12-30 2016-09-27 General Electric Company Single screen multi-modality imaging displays
US9201627B2 (en) 2010-01-05 2015-12-01 Rovi Guides, Inc. Systems and methods for transferring content between user equipment and a wireless communications device
WO2011091300A2 (en) 2010-01-24 2011-07-28 Mistretta Medical, Llc System and method for implementation of 4d time-energy subtraction computed tomography
US8559590B2 (en) 2010-01-28 2013-10-15 Varian Medical Systems, Inc. Imaging breast cancerous lesions with microcalcifications
DE102010009295B4 (de) 2010-02-25 2019-02-21 Siemens Healthcare Gmbh Verfahren zur Darstellung eines zu untersuchenden und/oder behandelnden Bereichs
JP5340213B2 (ja) 2010-03-30 2013-11-13 富士フイルム株式会社 画像表示システム
US9678059B2 (en) 2010-05-23 2017-06-13 Technion Research & Development Foundation Ltd. Detection, staging and grading of benign and malignant tumors
US20110310126A1 (en) 2010-06-22 2011-12-22 Emil Markov Georgiev Method and system for interacting with datasets for display
CN102985009B (zh) 2010-06-28 2016-08-17 皇家飞利浦电子股份有限公司 医学断层合成系统
JP5654787B2 (ja) * 2010-06-30 2015-01-14 富士フイルム株式会社 放射線画像撮影表示方法およびシステム
KR101687971B1 (ko) * 2010-07-19 2016-12-21 삼성전자주식회사 유방 촬영 장치 및 그 방법
JP5650467B2 (ja) * 2010-08-27 2015-01-07 富士フイルム株式会社 放射線画像撮影システム
JP2012061196A (ja) 2010-09-17 2012-03-29 Fujifilm Corp 断層画像表示方法および装置
DE102010041920A1 (de) 2010-10-04 2012-04-05 Siemens Aktiengesellschaft Verfahren zur Darstellung einer Konzentration eines Kontrastmittels in einem vorbestimmten Volumenabschnitt mittels Tomosynthese und entsprechendes Tomosynthesegerät
JPWO2012063653A1 (ja) 2010-11-12 2014-05-12 株式会社日立メディコ 医用画像表示装置及び医用画像表示方法
US9649068B2 (en) 2010-11-18 2017-05-16 Hologic, Inc. Table for performing medical procedures
US9146674B2 (en) 2010-11-23 2015-09-29 Sectra Ab GUI controls with movable touch-control objects for alternate interactions
WO2012071429A1 (en) 2010-11-26 2012-05-31 Hologic, Inc. User interface for medical image review workstation
JP5170226B2 (ja) 2010-12-10 2013-03-27 カシオ計算機株式会社 画像処理装置、画像処理方法、及びプログラム
DE102011003137A1 (de) 2011-01-25 2012-07-26 Siemens Aktiengesellschaft Bildgebungsverfahren mit einer verbesserten Darstellung eines Gewebebereichs
US9392986B2 (en) 2011-02-14 2016-07-19 University Of Rochester Method and apparatus for cone beam breast CT image-based computer-aided detection and diagnosis
FR2971412B1 (fr) 2011-02-15 2014-01-17 Gen Electric Methode d'acquisition de la morphologie d'un sein.
IT1404617B1 (it) 2011-02-25 2013-11-29 I M S Internaz Medicoscientifica S R L Apparecchiatura per la tomosintesi e la mammografia.
CA2829349C (en) 2011-03-08 2021-02-09 Hologic, Inc. System and method for dual energy and/or contrast enhanced breast imaging for screening, diagnosis and biopsy
DE202011004071U1 (de) 2011-03-16 2011-07-27 Siemens Aktiengesellschaft Kompressionsplatte für Tomosynthese
US8526763B2 (en) 2011-05-27 2013-09-03 Adobe Systems Incorporated Seamless image composition
CN103649961B (zh) 2011-06-27 2018-06-26 皇家飞利浦有限公司 对图像数据中的发现的解剖学标记的方法
KR101477543B1 (ko) * 2011-07-22 2014-12-31 삼성전자주식회사 엑스선 촬영 장치 및 방법
RU2014113071A (ru) 2011-09-07 2015-10-20 Конинклейке Филипс Н.В. Интерактивная сегментация в режиме реального времени с автоматическим отбором оптимального томографического среза
JP5439453B2 (ja) 2011-10-20 2014-03-12 株式会社東芝 画像表示装置
DE102011087127B4 (de) * 2011-11-25 2015-11-19 Siemens Aktiengesellschaft Bestimmung von Aufnahmeparametern bei einer Dual-Energy Tomosynthese
EP2782505B1 (en) 2011-11-27 2020-04-22 Hologic, Inc. System and method for generating a 2d image using mammography and/or tomosynthesis image data
EP3181052A1 (en) 2011-11-30 2017-06-21 Rush University Medical Center System and methods for identification of implanted medical devices and/or detection of retained surgical foreign objects from medical images
US8594407B2 (en) 2012-02-03 2013-11-26 Siemens Aktiengesellschaft Plane-by-plane iterative reconstruction for digital breast tomosynthesis
ES2641456T3 (es) 2012-02-13 2017-11-10 Hologic, Inc. Sistema y método para navegar por una pila de tomosíntesis usando datos de imágenes sintetizadas
JP5745444B2 (ja) 2012-03-05 2015-07-08 富士フイルム株式会社 医用画像表示装置および医用画像表示方法、並びに、医用画像表示プログラム
US9478028B2 (en) 2012-03-08 2016-10-25 Koninklijke Philips N.V. Intelligent landmark selection to improve registration accuracy in multimodal image fusion
JP5244250B1 (ja) 2012-03-28 2013-07-24 パナソニック株式会社 給電装置
US8842806B2 (en) 2012-04-03 2014-09-23 Carestream Health, Inc. Apparatus and method for breast imaging
ITBO20120227A1 (it) 2012-04-24 2013-10-25 I M S Internaz Medico Scient Ifica S R L Apparecchiatura per eseguire un esame sul seno di un paziente.
JP2013244211A (ja) 2012-05-25 2013-12-09 Toshiba Corp 医用画像処理装置、医用画像処理方法及び制御プログラム
DE102012213910A1 (de) 2012-08-06 2014-02-06 Siemens Aktiengesellschaft Steuerungsmodul und -verfahren zur Perspektivenbestimmung beim Rendern von medizinischen Bilddatensätzen
KR101479212B1 (ko) * 2012-09-05 2015-01-06 삼성전자 주식회사 엑스선 영상 장치 및 엑스선 영상 생성 방법
GB201221069D0 (en) 2012-11-23 2013-01-09 Univ Reading Control method
US8983156B2 (en) 2012-11-23 2015-03-17 Icad, Inc. System and method for improving workflow efficiences in reading tomosynthesis medical image data
KR102154733B1 (ko) 2013-01-16 2020-09-11 삼성전자주식회사 의료 영상을 이용하여 대상체에 악성 종양이 존재하는지 여부를 예측하는 장치 및 방법
US9113781B2 (en) 2013-02-07 2015-08-25 Siemens Aktiengesellschaft Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading
CN105451657A (zh) 2013-03-15 2016-03-30 霍罗吉克公司 用于导航断层合成堆叠的包括自动聚焦的系统和方法
JP6388347B2 (ja) 2013-03-15 2018-09-12 ホロジック, インコーポレイテッドHologic, Inc. 腹臥位におけるトモシンセシス誘導生検
US9129362B2 (en) 2013-05-22 2015-09-08 Siemens Aktiengesellschaft Semantic navigation and lesion mapping from digital breast tomosynthesis
EP3014577A1 (en) 2013-06-28 2016-05-04 Koninklijke Philips N.V. Methods for generation of edge-preserving synthetic mammograms from tomosynthesis data
KR20150010515A (ko) 2013-07-19 2015-01-28 삼성전자주식회사 의료 영상 획득 방법 및 장치
US9668699B2 (en) 2013-10-17 2017-06-06 Siemens Healthcare Gmbh Method and system for anatomical object detection using marginal space deep neural networks
JP2016533803A (ja) 2013-10-24 2016-11-04 アンドリュー ピー． スミス， Ｘ線誘導胸部生検をナビゲートするためのシステムおよび方法
US10978184B2 (en) 2013-11-04 2021-04-13 Terarecon, Inc. Evolving contextual clinical data engine for medical information
US10610182B2 (en) 2014-01-15 2020-04-07 Alara Systems, Inc Converting low-dose to higher dose 3D tomosynthesis images through machine-learning processes
JP6283850B2 (ja) 2014-01-31 2018-02-28 国立大学法人 熊本大学 画像処理方法、画像処理装置及びプログラム
JP6495003B2 (ja) 2014-02-04 2019-04-03 キヤノンメディカルシステムズ株式会社 医用画像処理装置、医用画像診断装置及び医用画像処理方法
JP6506769B2 (ja) 2014-02-28 2019-04-24 ホロジック, インコーポレイテッドHologic, Inc. トモシンセシス画像スラブを生成し表示するためのシステムおよび方法
US20150331995A1 (en) 2014-05-14 2015-11-19 Tiecheng Zhao Evolving contextual clinical data engine for medical data processing
US20160000399A1 (en) 2014-07-02 2016-01-07 General Electric Company Method and apparatus for ultrasound needle guidance
US9569864B2 (en) 2014-09-12 2017-02-14 Siemens Aktiengesellschaft Method and apparatus for projection image generation from tomographic images
US20180000446A1 (en) 2014-12-24 2018-01-04 Koninklijke Philips N.V. Needle trajectory prediction for target biopsy
JP6383321B2 (ja) 2015-04-08 2018-08-29 株式会社エクスメディオ 診断支援システム
US20180132944A1 (en) 2015-05-18 2018-05-17 Koninklijke Philips N.V. Intra-procedural accuracy feedback for image-guided biopsy
KR101822404B1 (ko) 2015-11-30 2018-01-26 임욱빈 Dnn 학습을 이용한 세포이상 여부 진단시스템
AU2017230184B2 (en) 2016-03-11 2021-10-07 Magic Leap, Inc. Structure learning in convolutional neural networks
TWI609674B (zh) 2016-05-12 2018-01-01 太豪生醫股份有限公司 乳房影像對位方法與影像處理裝置
US9589374B1 (en) 2016-08-01 2017-03-07 12 Sigma Technologies Computer-aided diagnosis system for medical images using deep convolutional neural networks
US20180144244A1 (en) 2016-11-23 2018-05-24 Vital Images, Inc. Distributed clinical workflow training of deep learning neural networks
EP3326535B1 (en) 2016-11-25 2019-06-12 ScreenPoint Medical Displaying system for displaying digital breast tomosynthesis data
WO2018183548A1 (en) 2017-03-30 2018-10-04 Hologic, Inc. System and method for hierarchical multi-level feature image synthesis and representation
CN110662489B (zh) 2017-03-30 2024-08-02 豪洛捷公司 用于靶向对象增强以生成合成乳房组织图像的系统和方法
US11455754B2 (en) 2017-03-30 2022-09-27 Hologic, Inc. System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement
US11403483B2 (en) 2017-06-20 2022-08-02 Hologic, Inc. Dynamic self-learning medical image method and system
AU2019262183B2 (en) 2018-05-04 2025-01-09 Hologic, Inc. Biopsy needle visualization
US12121304B2 (en) 2018-05-04 2024-10-22 Hologic, Inc. Introducer and localization wire visualization
EP3973539A1 (en) 2019-07-31 2022-03-30 Google LLC System and method for interpretation of multiple medical images using deep learning
CN112561908B (zh) 2020-12-24 2021-11-23 北京医准智能科技有限公司 乳腺图像病灶匹配方法、装置及存储介质
US12254586B2 (en) 2021-10-25 2025-03-18 Hologic, Inc. Auto-focus tool for multimodality image review

Cited By (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12193853B2 (en) 2006-02-15 2025-01-14 Hologic, Inc. Breast biopsy and needle localization using tomosynthesis systems
US11918389B2 (en) 2006-02-15 2024-03-05 Hologic, Inc. Breast biopsy and needle localization using tomosynthesis systems
US11452486B2 (en) 2006-02-15 2022-09-27 Hologic, Inc. Breast biopsy and needle localization using tomosynthesis systems
US12193886B2 (en) 2009-10-08 2025-01-14 Hologic, Inc. Needle breast biopsy system and method of use
US11701199B2 (en) 2009-10-08 2023-07-18 Hologic, Inc. Needle breast biopsy system and method of use
US11775156B2 (en) 2010-11-26 2023-10-03 Hologic, Inc. User interface for medical image review workstation
US11406332B2 (en) 2011-03-08 2022-08-09 Hologic, Inc. System and method for dual energy and/or contrast enhanced breast imaging for screening, diagnosis and biopsy
US12239471B2 (en) 2011-03-08 2025-03-04 Hologic, Inc. System and method for dual energy and/or contrast enhanced breast imaging for screening, diagnosis and biopsy
US12183309B2 (en) 2011-11-27 2024-12-31 Hologic, Inc. System and method for generating a 2D image using mammography and/or tomosynthesis image data
US11837197B2 (en) 2011-11-27 2023-12-05 Hologic, Inc. System and method for generating a 2D image using mammography and/or tomosynthesis image data
US11508340B2 (en) 2011-11-27 2022-11-22 Hologic, Inc. System and method for generating a 2D image using mammography and/or tomosynthesis image data
US11663780B2 (en) 2012-02-13 2023-05-30 Hologic Inc. System and method for navigating a tomosynthesis stack using synthesized image data
US12307604B2 (en) 2012-02-13 2025-05-20 Hologic, Inc. System and method for navigating a tomosynthesis stack using synthesized image data
US12324707B2 (en) 2013-03-15 2025-06-10 Hologic, Inc. Tomosynthesis-guided biopsy in prone
US12064291B2 (en) 2013-03-15 2024-08-20 Hologic, Inc. Tomosynthesis-guided biopsy in prone
US12211608B2 (en) 2013-03-15 2025-01-28 Hologic, Inc. System and method for navigating a tomosynthesis stack including automatic focusing
US12475992B2 (en) 2013-03-15 2025-11-18 Hologic, Inc. System and method for navigating a tomosynthesis stack including automatic focusing
US11589944B2 (en) 2013-03-15 2023-02-28 Hologic, Inc. Tomosynthesis-guided biopsy apparatus and method
EP3646798A1 (en) 2013-10-24 2020-05-06 Hologic, Inc. System and method for navigating x-ray guided breast biopsy
US11364005B2 (en) 2013-10-24 2022-06-21 Hologic, Inc. System and method for navigating x-ray guided breast biopsy
US12029602B2 (en) 2013-10-24 2024-07-09 Hologic, Inc. System and method for navigating x-ray guided breast biopsy
EP3060132B1 (en) 2013-10-24 2019-12-04 Hologic, Inc. System and method for navigating x-ray guided breast biopsy
US11801025B2 (en) 2014-02-28 2023-10-31 Hologic, Inc. System and method for generating and displaying tomosynthesis image slabs
US11419565B2 (en) 2014-02-28 2022-08-23 IIologic, Inc. System and method for generating and displaying tomosynthesis image slabs
WO2017060133A1 (en) 2015-10-05 2017-04-13 Koninklijke Philips N.V. Apparatus for characterization of a feature of a body part
JP2018534032A (ja) * 2015-10-05 2018-11-22 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 身体部位の特徴のキャラクタリゼーションのための装置
CN108135558B (zh) * 2015-10-05 2021-09-03 皇家飞利浦有限公司 用于表征身体部分的特征的装置
CN108135558A (zh) * 2015-10-05 2018-06-08 皇家飞利浦有限公司 用于表征身体部分的特征的装置
US10881358B2 (en) 2015-10-05 2021-01-05 Koninklijke Philips N.V. Tomosynthesis apparatus and method for characterizing a lesion in a breast
US10827986B2 (en) 2015-12-21 2020-11-10 Koninklijke Philips N.V. Computing and displaying a synthetic mammogram during scanning acquisition
CN106023123A (zh) * 2016-05-01 2016-10-12 中国人民解放军空军航空大学 一种新型的多窗口同视的图像融合框架
DE102016210093A1 (de) * 2016-06-08 2017-12-14 Siemens Healthcare Gmbh Verfahren zur Planung einer Untersuchung
US10115485B2 (en) 2016-06-08 2018-10-30 Siemens Healthcare Gmbh Method of planning an examination, method of positioning an examination instrument, tomosynthesis system and computer program product
WO2018049553A1 (en) * 2016-09-13 2018-03-22 Shenzhen Xpectvision Technology Co., Ltd. Methods of x-ray imaging
US11399790B2 (en) 2017-03-30 2022-08-02 Hologic, Inc. System and method for hierarchical multi-level feature image synthesis and representation
US11445993B2 (en) 2017-03-30 2022-09-20 Hologic, Inc. System and method for targeted object enhancement to generate synthetic breast tissue images
US11455754B2 (en) 2017-03-30 2022-09-27 Hologic, Inc. System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement
US11957497B2 (en) 2017-03-30 2024-04-16 Hologic, Inc System and method for hierarchical multi-level feature image synthesis and representation
US11983799B2 (en) 2017-03-30 2024-05-14 Hologic, Inc. System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement
WO2018183549A1 (en) * 2017-03-30 2018-10-04 Hologic, Inc. System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement
US12070349B2 (en) 2017-03-30 2024-08-27 Hologic, Inc. System and method for targeted object enhancement to generate synthetic breast tissue images
US12211124B2 (en) 2017-03-30 2025-01-28 Hologic, Inc. System and method for synthesizing low-dimensional image data from high-dimensional image data using an object grid enhancement
US12446842B2 (en) 2017-03-30 2025-10-21 Hologic, Inc. System and method for hierarchical multi-level feature image synthesis and representation
US11850021B2 (en) 2017-06-20 2023-12-26 Hologic, Inc. Dynamic self-learning medical image method and system
US11403483B2 (en) 2017-06-20 2022-08-02 Hologic, Inc. Dynamic self-learning medical image method and system
US12121304B2 (en) 2018-05-04 2024-10-22 Hologic, Inc. Introducer and localization wire visualization
US12029499B2 (en) 2018-05-04 2024-07-09 Hologic, Inc. Biopsy needle visualization
US12433692B2 (en) 2018-05-04 2025-10-07 Hologic, Inc. Biopsy needle visualization
CN110652311A (zh) * 2018-06-29 2020-01-07 通用电气公司 用于经由预拍处理对物体成像的系统和方法
CN110652311B (zh) * 2018-06-29 2023-10-31 通用电气公司 用于经由预拍处理对物体成像的系统和方法
US12236582B2 (en) 2018-09-24 2025-02-25 Hologic, Inc. Breast mapping and abnormality localization
US11344269B2 (en) 2018-09-27 2022-05-31 Siemens Healthcare Gmbh Method for monitoring a tissue removal by means of an x-ray imaging system
EP3628226A1 (de) * 2018-09-27 2020-04-01 Siemens Healthcare GmbH Verfahren zur überwachung einer gewebeentnahme mittels eines röntgen-bildgebungssystems
US12226233B2 (en) 2019-07-29 2025-02-18 Hologic, Inc. Personalized breast imaging system
US11883206B2 (en) 2019-07-29 2024-01-30 Hologic, Inc. Personalized breast imaging system
US12119107B2 (en) 2019-09-27 2024-10-15 Hologic, Inc. AI system for predicting reading time and reading complexity for reviewing 2D/3D breast images
US11694792B2 (en) 2019-09-27 2023-07-04 Hologic, Inc. AI system for predicting reading time and reading complexity for reviewing 2D/3D breast images
US11481038B2 (en) 2020-03-27 2022-10-25 Hologic, Inc. Gesture recognition in controlling medical hardware or software
US12254586B2 (en) 2021-10-25 2025-03-18 Hologic, Inc. Auto-focus tool for multimodality image review
US12236597B2 (en) 2021-11-29 2025-02-25 Hologic, Inc. Systems and methods for correlating objects of interest

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