CN109567843B - Imaging scanning automatic positioning method, device, equipment and medium - Google Patents
Imaging scanning automatic positioning method, device, equipment and medium Download PDFInfo
- Publication number
- CN109567843B CN109567843B CN201910107788.9A CN201910107788A CN109567843B CN 109567843 B CN109567843 B CN 109567843B CN 201910107788 A CN201910107788 A CN 201910107788A CN 109567843 B CN109567843 B CN 109567843B
- Authority
- CN
- China
- Prior art keywords
- target structure
- scanning
- determining
- position information
- positioning image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/04—Positioning of patients; Tiltable beds or the like
- A61B6/0487—Motor-assisted positioning
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/48—Diagnostic techniques
- A61B6/488—Diagnostic techniques involving pre-scan acquisition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/54—Control of apparatus or devices for radiation diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/40—Positioning of patients, e.g. means for holding or immobilising parts of the patient's body
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/54—Control of the diagnostic device
Abstract
The embodiment of the invention discloses an imaging scanning automatic positioning method, a device, equipment and a medium, wherein the method comprises the following steps: acquiring a positioning image of a subject; determining position information of at least one target structure according to the positioning image; and determining a scanning protocol corresponding to the target structure based on the position information of the target structure. The method provided by the embodiment of the invention identifies the positioning image to automatically determine the position information of the target structure, and plans the scanning protocol based on the position information of each target structure, thereby realizing accurate and rapid automatic positioning for imaging scanning, ensuring that the scanning mode is more reasonable and improving the imaging effect.
Description
Technical Field
The embodiment of the invention relates to the field of medical imaging, in particular to an automatic positioning method, device, equipment and medium for imaging scanning.
Background
At present, when a whole body or a half body signal is acquired, because the range of a detector in the longitudinal direction is limited, the signal acquisition needs to be carried out in multiple beds, and then the signals are reconstructed and spliced into a needed image. In order to optimize the whole-body scanning image quality and scanning time, a non-scanning scheme is generally adopted for different beds. In the prior art, when scanning a subject, a doctor generally determines an acquisition range of a whole body or a specific part from a pre-scanned simple whole body structure diagram, then manually plans a scanning bed number according to the pre-scanned structure diagram, adjusts the acquisition range of each bed, and determines a bed position during scanning, an overlap region parameter between scanning ranges corresponding to adjacent beds, and a scanning system parameter. And finally, performing multi-bed scanning according to a scanning protocol manually planned by a doctor. Generally, in order to realize fast scanning, the parameters of the overlapping area between the scanning ranges corresponding to the adjacent beds and the scanning optimization parameters are set to be consistent parameters.
Obviously, the doctor determines the acquisition range according to the pre-scan image, and planning the scan protocol is time-consuming and labor-consuming, so that burden is imposed on the doctor, and the estimated structure position of the doctor may be inaccurate, so that the scan protocol is unreasonable in planning, and the final imaging effect is affected.
Disclosure of Invention
The embodiment of the invention provides an imaging scanning automatic positioning method, an imaging scanning automatic positioning device, imaging scanning automatic positioning equipment and an imaging scanning automatic positioning medium, so that the imaging scanning automatic positioning is accurately and quickly carried out, the scanning mode is more reasonable, and the imaging effect is improved.
In a first aspect, an embodiment of the present invention provides an automatic positioning method for imaging scanning, including:
acquiring a positioning image of a subject;
determining position information of at least one target structure according to the positioning image;
and determining a scanning protocol corresponding to the target structure based on the position information of the target structure.
In a second aspect, an embodiment of the present invention further provides an automatic imaging scan planning apparatus, where the apparatus includes:
a positioning image acquisition module for acquiring a positioning image of the subject;
the position information determining module is used for determining the position information of at least one target structure according to the positioning image;
and the bed planning module is used for determining a scanning protocol corresponding to the target structure based on the position information of the target structure.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement an imaging scan auto-localization method as provided by any embodiment of the invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the imaging scan automatic positioning method provided in any embodiment of the present invention.
The embodiment of the invention acquires the positioning image of the detected body; determining position information of at least one target structure according to the positioning image; the scanning protocol corresponding to the target structure is determined based on the position information of the target structure, the position information of the target structure is automatically determined by identifying the positioning image, and the scanning protocol is planned based on the position information of each target structure, so that the accurate and quick automatic positioning for imaging scanning is realized, the scanning mode is more reasonable, and the imaging effect is improved.
Drawings
FIG. 1a is a flowchart of an automatic positioning method for imaging scanning according to an embodiment of the present invention;
FIG. 1b is a schematic flowchart of an automatic positioning method for imaging scanning according to an embodiment of the present invention;
FIG. 2 is a flowchart of an imaging scanning automatic positioning method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an imaging scanning automatic positioning apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1a is a flowchart of an imaging scanning automatic positioning method according to an embodiment of the present invention, which is applicable to a situation when a scanning protocol is automatically planned during multi-bed scanning. The method may be performed by an imaging scan automatic positioning apparatus, which may be implemented in software and/or hardware, for example, the imaging scan automatic positioning apparatus may be configured in a computer device. As shown in fig. 1a, the method specifically includes:
s110, a positioning image of the subject is acquired.
In this embodiment, in order to make the planning of the scanning protocol more reasonable to obtain a medical image with a better effect, a method of determining the scanning protocol corresponding to the target structure based on the position of the target structure is adopted. Therefore, before the scan protocol is determined, a positioning image of the subject needs to be acquired, and the position information of the target structure needs to be recognized from the positioning image.
In one embodiment of the present invention, the determining at least one target structure according to the detected scan instruction and pre-scanning the object to generate a pre-scan image includes:
determining a pre-scanning area according to the detected scanning instruction;
scanning the pre-scanning area by using at least one preset imaging modality to obtain at least one group of pre-scanning data, and generating at least one pre-scanning image according to the pre-scanning data, wherein the pre-scanning image is a positioning image.
In this embodiment, the scan command is generated according to a user operation, and is used to control the imaging scan automatic positioning apparatus to perform a scan protocol planning or a pre-scan. The pre-scanning area can be determined according to an operation instruction triggered by a user.
In an embodiment of the present invention, a user may directly select a scanning area on an operation interface, and after an operation instruction triggered by the user is detected, the operation instruction is analyzed, and the operation area carried in the analyzed operation instruction is used as a pre-scanning area. For example, when it is necessary to obtain a whole-body image of the subject, a "whole-body scan" is selected as a scan region in the operation interface, and a scan instruction is triggered. After monitoring a scanning instruction triggered by a user, the imaging scanning automatic positioning device analyzes the scanning instruction to obtain a 'whole body scanning' scanning area contained in the scanning instruction, and takes the 'whole body scanning' as a pre-scanning area.
In another embodiment of the present invention, the pre-scan region may also be determined according to a target structure selected by a user. Illustratively, when a user is interested in certain regions of a subject and needs to obtain a clear image of the region of interest (such as the head, the body, the neck, the lung, the heart, the liver, the bladder, and the like), the region of interest may be selected at the operation interface, and a scanning instruction is triggered, and after the imaging scanning automatic positioning device detects the operation instruction triggered by the user, the scanning instruction is analyzed to obtain the region of interest carried in the operation instruction as a target structure, and the pre-scanning region is determined based on the position of the target structure. Optionally, the minimum area including the target structure may be determined as a pre-scanning area, or a corresponding relationship between the target structure and the scanning area may be pre-established, and the pre-scanning area corresponding to the target structure is determined according to the pre-set corresponding relationship. It will be appreciated that the user may select one region of interest as the target structure or a plurality of regions of interest as the target structure.
For example, when the user needs to obtain an image containing the head and the lung, "head" and "lung" are selected as target structures in the operation interface, and a scan instruction is triggered. The imaging scanning automatic positioning device analyzes a scanning instruction triggered by a user, determines a target structure to be a head and a lung according to information obtained by analysis, determines a pre-scanning area to be a half-length scanning area based on the target structure, scans the determined pre-scanning area according to the determined pre-scanning mode to obtain a scanning signal, and generates a pre-scanning image according to the scanning signal.
In this embodiment, the medical image scanning device for performing imaging scanning automatic positioning may be, for example: magnetic Resonance (MR) devices, Computed Tomography (CT) devices, Positron Emission Tomography (PET) devices, Single-Photon Emission Tomography (SPECT) devices, X-ray machine (X-ray Product), Ultrasound (Ultrasound), Radiation Therapy (RT) devices, and multi-modality devices combined by the above-mentioned devices, such as PET-MR devices, PET-CT devices, and the like.
Generally, multi-bed signal acquisition is commonly used in multi-modality devices, and in this embodiment, when using a multi-modality device to perform pre-scanning, only one of the imaging modalities may be used to perform pre-scanning on the object, or two or more imaging modalities may be used to perform pre-scanning on the object. Taking PET-CT as an example, the pre-scan image may be obtained by pre-scanning the pre-scan region of the object only using CT, or the pre-scan image may be obtained by pre-scanning the pre-scan region of the object using two imaging modalities, PET and CT. Preferably, the object is pre-scanned by using multiple imaging modalities, the number of structures obtained by the multiple imaging modalities is larger than that obtained by single-modality imaging, and the position information of the structures is more accurate.
And S120, determining the position information of at least one target structure according to the positioning image.
In this embodiment, the target structure may be a region of interest selected by a user in advance, or may be a default structure determined according to a pre-scan region. For example, the corresponding relationship between the pre-scanning area and the target structure may be preset, and after the pre-scanning area is determined, the target structure corresponding to the pre-scanning area is determined by searching the preset corresponding relationship. It can be understood that, when the correspondence relationship between the pre-scanning region and the target structure is preset and the user also selects the region of interest, the region of interest selected by the user is taken as the target structure.
In this embodiment, after the positioning image is obtained, the position information of each target structure in the positioning image is obtained by identifying the positioning image. The position information of the target structure may be coordinate information of the edge and/or center of the target structure in the positioning image. For example, the position information of the head may be coordinate information of the top of the head in the positioning image, the position information of the liver may be coordinate information of the center of the liver and the contour of the liver in the positioning image, and the position information of the neck may be position information of the center of the neck in the positioning image.
The positioning image may be one or more. Illustratively, when a pre-scan region of a subject is pre-scanned by MRI imaging, and a pre-scan image is obtained from the pre-scan data, pre-scan images in a sagittal position, a coronal position, and a transverse position can be obtained. Optionally, a preset number of pre-scanned images with more structure information may be selected as the positioning images for identifying the target structure position information. In general, the right sagittal image and the anterior coronal image contain a large amount of structural information, and are used as positioning images for identifying target structural position information. When the pre-scanning area of the object is pre-scanned through PET imaging and the positioning image is obtained according to the pre-scanning data, a three-dimensional positioning image can be obtained and used as the positioning image for identifying the position information of the target structure.
Alternatively, the position of each target structure in the positioning image may be determined by the structure information of each target structure, for example, each target structure may be identified from the positioning image by the morphological information and the signal strength of each target structure.
Optionally, the position of each target structure in the positioning image may be identified through a machine learning algorithm. Specifically, for each imaging modality, a historical positioning image of the imaging modality may be acquired, the historical positioning image is manually labeled, position information of each target structure corresponding to the historical positioning image and the historical positioning image is acquired, a training sample pair is generated based on the historical positioning image and the position information (such as an identifier and a coordinate of each target structure) of each target structure corresponding to the historical positioning image, and a pre-established structure recognition model is trained to acquire a trained structure recognition model. When the position information of the target structure in the positioning image needs to be recognized, the positioning image and the target structure identification to be recognized are input into the trained structure recognition model, and the position information of each target structure output by the structure recognition model is obtained.
In this embodiment, when considering that the bed width is a fixed parameter during bed planning, only the signal acquisition range of the bed in the bed moving area needs to be determined, so that when the position of the target structure is identified, only the position coordinates of the target structure in the vertical direction can be identified.
S130, determining a scanning protocol corresponding to the target structure based on the position information of the target structure.
In this embodiment, after the position information of each target structure is determined, the scanning protocol corresponding to the target structure is determined according to the position information of each target structure. In this embodiment, the scanning protocol includes at least one of bed information, scanning range, and scanning parameters. The bed information may include the number of beds and position information of each bed. The scan range may include a scan field size and position, and the scan parameter may be an optimized range of parameters of the scanning system or system parameters of the scanning system. It will be appreciated that different imaging modalities, and therefore different scanning systems, have different system parameters. Illustratively, the scan parameters may be shim parameters of the main magnetic field B0 and the radio frequency magnetic field B1, or frequency calibration parameters, when the scanning system is an MRI system or a PET-MRI system, and the scan parameters may be attenuation correction parameters, when the scanning system is a PET system, a PET-MR system, or a PET-CT system.
Generally, different target structures correspond to different scanning protocols. For example, for organs (liver, heart) of the chest and abdomen affected by human physiological motion factors (respiration, heartbeat), multiple sets of chest and abdomen scanning data are often collected to perform respiratory correction so as to improve image quality; in contrast, for the head and lower limbs with less physiological motion influence, the data acquired by one scanning is directly used for reconstructing a graph so as to shorten the time. Therefore, the image reconstruction algorithm for correcting the motion signal corresponds to the dynamic scanning protocol and the image reconstruction algorithm for the target structure which is greatly influenced by the physiological motion, and the image reconstruction algorithm for correcting the motion signal corresponds to the static scanning protocol and the image reconstruction algorithm for the target structure which is less influenced by the physiological motion. In this embodiment, the label of the target structure may be preset according to the size of the target structure affected by the physiological motion factor, and the corresponding relationship between the label and the scanning protocol and the image reconstruction algorithm may be established. During the planning of the scanning protocol, the dynamic reconstruction of the physiological signals of the target structure or the specific functional imaging can be realized by adjusting the scanning protocol of the bed corresponding to the target structure. For example, the label of the target structure may be "large" or "small", or "dynamic" or "static", as long as the label can be distinguished according to the size affected by the physiological state.
According to the embodiment of the invention, the acquisition position of the bed corresponding to each target structure can be adaptively adjusted according to the position information of each target structure, so that the acquisition area of each bed comprises the target structure, such as the top of the head, the neck and the liver, thereby separating the target structure and performing the specifically customized scanning optimization on the target structure, such as the correction of special movement on the part (liver and abdomen) affected by respiration and heartbeat.
Fig. 1b is a schematic flowchart of an imaging scanning automatic positioning method according to an embodiment of the present invention. The process of automatic positioning of the imaging scan is schematically shown in fig. 1b, which is an example of a PET-MRI system. As shown in fig. 1b, the imaging scan automatic positioning is divided into two steps: first, a region of interest is precisely located. Pre-scanning a pre-scanning region by using two imaging modalities of positron emission tomography and magnetic resonance imaging, respectively obtaining a positron emission tomography pre-scanning image and a magnetic resonance imaging pre-scanning image, wherein the positron emission tomography pre-scanning image is a three-dimensional image, the magnetic resonance imaging pre-scanning image is a plurality of two-dimensional images, selecting a right sagittal image and a front coronal image from the plurality of magnetic resonance pre-scanning images, accurately positioning the region of interest (target structure) according to the obtained right sagittal image and front coronal image in the positron emission tomography pre-scanning image and the magnetic resonance imaging pre-scanning image, and determining the position information of the target structure. And then, optimizing a scanning protocol corresponding to each target structure according to the position information of each target structure, wherein the optimization of the scanning protocol comprises planning of a bed and an overlapping area, system parameter adjustment and scanning area planning. As shown in fig. 1b, the position information (bed 1, bed 2, … …) of the bed corresponding to each target structure and the overlapping area of the scanning areas corresponding to the adjacent beds are planned based on the position information of each target structure, and the scanning areas (area 1, area 2, … …) corresponding to each target structure, the overlapping area between the adjacent scanning areas and the scanning parameters are planned based on the position information of each target structure.
The embodiment of the invention acquires the positioning image of the detected body; determining position information of at least one target structure according to the positioning image; the scanning protocol corresponding to the target structure is determined based on the position information of the target structure, the position information of the target structure is automatically determined by identifying the positioning image, and the scanning protocol is automatically planned based on the position information of each target structure, so that the automatic positioning of imaging scanning is accurately and quickly realized, the scanning mode is more reasonable, the imaging effect is improved, and the customized optimization of the target structure, such as the dynamic reconstruction of physiological signals or specific functional imaging, can be realized by setting different scanning protocols based on different target structures.
Example two
Fig. 2 is a flowchart of an imaging scan automatic positioning method according to a second embodiment of the present invention, which is further optimized based on the above embodiments. As shown in fig. 2, the method includes:
s210, a positioning image of the object is acquired.
S220, determining the position coordinates of the target structure in the positioning image according to the structure information of the target structure.
In this embodiment, the determining of the position information of the at least one target structure from the positioning image is embodied as determining the position coordinates of the target structure in the positioning image from the structure information of the target structure. The structure information of the target structure may include morphological information of the target structure and/or signal strength of the target structure.
Generally, different target structures have different morphological information, and when the imaging modality is fixed, the signal strength of the fixed target structure is also within a certain signal strength range. Alternatively, the form information and the signal intensity range corresponding to each target structure may be set in advance. For each structure in the positioning image, extracting edge information of the structure in the positioning image, matching a form formed by the edge information of the structure with preset form information, and matching signal strength in the structure edge with a preset signal strength range, if the form formed by the edge information of the structure is matched with form information of any target structure and the signal strength of the structure is also in the signal strength range of the target structure, judging that the structure is the target structure, and taking the position of the structure in the positioning image as the position of the target structure in the positioning image.
Optionally, extracting the edge information of the structure in the positioning image may include: and extracting the edge information of the structure in the positioning image through an edge extraction algorithm, or extracting the edge information of the structure in the positioning image through a center extraction algorithm.
And S230, optimizing the overlapping area of the scanning range of the target structure based on the position coordinates of the target structure.
In this embodiment, different scan range overlap region optimizations are performed for different target structures. For example, the target structure may be correspondingly labeled according to the size of the target structure affected by the physiological state, and the label may be "large" or "small", or "moving" or "still", or in other label forms, as long as the label can be distinguished according to the size of the target structure affected by the physiological state. According to the set labels, the overlapping area of the target structure between the scanning ranges of the adjacent beds or the non-overlapping area between the scanning ranges of the adjacent beds are determined. Alternatively, the label of the target structure may be preset. For example, the liver, heart, lung, abdomen may be set to be a label that is greatly affected by the physiological state, and the head, neck, bladder, hand may be set to be a label that is less affected by the physiological state.
In an embodiment of the present invention, the optimizing the overlap region of the scanning range of the target structure based on the position coordinates of the target structure includes:
and aiming at least one target structure, taking the coordinate value of the edge of the target structure in the vertical direction as the coordinate value of the edge of the scanning range of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is positioned in the overlapping area between the scanning ranges corresponding to the adjacent beds.
Generally, in order to obtain a stronger signal during scanning, a target structure which is less affected by a physiological state may be disposed in an overlapping area between scanning ranges corresponding to adjacent beds, and multiple scanning signals of the target structure which is less affected by the physiological state are obtained by repeated scanning, and a clearer image of the target structure is obtained by superposition. Optionally, when the target structure is a target structure which is less affected by the physiological state, the coordinate value of the edge of the target structure in the vertical direction is taken as the coordinate value of the edge of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is located in the overlap area between the scanning ranges corresponding to the adjacent beds to the maximum extent. It will be appreciated that the target structure edge corresponds to the scanning range edge of the bed. For example, the coordinate value of the upper edge of the target structure in the vertical direction is taken as the coordinate value of the upper edge of the scanning range of the bed corresponding to the target structure in the moving direction of the bed, or the coordinate value of the lower edge of the target structure in the vertical direction is taken as the coordinate value of the lower edge of the scanning range of the bed corresponding to the target structure in the moving direction of the bed.
In an embodiment of the present invention, the optimizing the overlap region of the scanning range of the target structure based on the position coordinates of the target structure includes:
and aiming at least one target structure, taking the coordinate value of the center of the target structure in the vertical direction as the coordinate value of the center of the scanning range of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is positioned in a non-overlapping area between the scanning ranges corresponding to adjacent beds.
If the target structure is a target structure greatly influenced by physiological state and the target structure is located in the overlapping area of the scanning areas corresponding to the adjacent beds, when signal acquisition is carried out, the final imaging effect is different due to the fact that the signals of the target structure acquired by the scanning areas corresponding to the adjacent beds are different caused by the movement of the target structure greatly influenced by physiological state, therefore, when scanning protocol planning is carried out, the target structure greatly influenced by physiological state is planned in the non-overlapping area between the scanning areas corresponding to the adjacent beds, and the target structure greatly influenced by physiological state is only scanned once when scanning is carried out on multiple beds.
Optionally, when the target structure is a target structure greatly affected by the physiological state, the center position coordinate of the target structure may be used as the center position coordinate of the scanning range of the bed corresponding to the target structure, so as to ensure that most of the area of the target structure is in the non-overlapping area between the scanning areas corresponding to the adjacent beds. It should be noted that, when positioning a target structure greatly affected by physiological conditions, the center position of the target structure and the edge position of the target structure need to be determined to determine whether the target structure is located in a non-overlapping area between scanning areas corresponding to adjacent beds, so as to determine a scanning protocol corresponding to the target structure.
According to the technical scheme of the embodiment of the invention, on the basis of the embodiment, the determination of the position information of at least one target structure according to the positioning image is embodied as the determination of the position coordinates of the target structure in the positioning image according to the structure information of the target structure, the optimization of the overlapping area of the scanning range of the target structure is carried out on the target structure based on the position coordinates of each target structure, the position of each target structure in the positioning image is determined according to the structure information of each target structure, and the position relation between the target structure and the overlapping area is determined based on the label of each target structure, so that the optimized setting of the parameters of the scanning of a specific organ or a bed is realized, and the influence on the scanning of irrelevant organs is avoided.
On the basis of the above scheme, the determining a scanning protocol corresponding to the target structure based on the position information of the target structure includes: and optimizing the scanning range of the target structure based on the position coordinates of the target structure.
In this embodiment, the optimization of the scanning range of the target structure includes the optimization of the size of the scanning range of the target structure and/or the optimization of the position of the scanning range of the target structure. Optionally, the optimizing the scanning range of the target structure based on the position coordinates of the target structure includes: aiming at least one target structure, enabling a target area formed by the coordinate values of the target structure to be included in a scanning area formed by the coordinate values of a scanning range corresponding to the target structure, and enabling the target structure to be located in the scanning range.
In the present embodiment, the target structure is optimized for the scanning range according to the position coordinates of the target structure. After the position coordinates of the target structure are determined, the scanning area of the scanning range corresponding to the target structure can be determined according to the target area formed by the position coordinates of the edge of the target structure, and then the coordinate values of the scanning range edge corresponding to the target structure are determined according to the determined scanning area. In particular, the scan region may be set to a region containing the target region so that the target structure is located within the scan range. According to the embodiment, the size and the position of the scanning area corresponding to the target structure can be automatically planned according to the position of the target structure, so that the setting of the scanning area is more reasonable, and the imaging effect is improved.
On the basis of the above scheme, the determining a scanning protocol corresponding to the target structure based on the position information of the target structure includes:
and optimizing scanning parameters of the target structure based on the position coordinates of the target structure.
In this embodiment, the optimized range of the scanning parameters of the target structure may also be determined based on the position coordinates of the target structure. Optionally, the optimizing the scan parameter of the target structure based on the position coordinate of the target structure includes: aiming at least one target structure, enabling a target area formed by the coordinate values of the target structure to be included in an optimized area formed by the coordinate values of the target structure corresponding to the optimized range of the scanning parameters, and enabling the target structure to be located in the optimized range of the scanning parameters.
Optionally, after the position coordinates of the target structure are determined, an optimized region, which is optimized by the scanning parameters corresponding to the target structure, may be determined according to a target region formed by the position coordinates of the edge of the target structure, and then edge coordinate values, which are optimized by the scanning parameters corresponding to the target structure, may be determined according to the determined optimized region. In particular, the optimization region may be set to a region that includes the target region, such that the target structure is within the optimization range of the scan parameters. The optimization range of the scanning parameters corresponding to the target structure can be automatically planned according to the position of the target structure, so that the optimization range of the scanning parameters is more reasonable, and customized optimization can be performed on the interested organ by setting different scanning optimization parameters, such as physiological signal dynamic reconstruction or specific functional imaging.
On the basis of the above scheme, the determining a scanning protocol corresponding to the target structure based on the position information of the target structure includes: and optimizing the bed information of the target structure based on the position coordinates of the target structure. Optionally, the bed position corresponding to the target structure and the number of beds required for completing the scanning may be determined according to the position coordinates of the target structure. For example, for at least one target structure, the coordinate value of the center of the target structure in the vertical direction may be taken as the coordinate value of the center of the target structure corresponding to the bed in the moving direction of the bed, or the coordinate value of the edge of the target structure in the vertical direction may be taken as the coordinate value of the edge of the scanning range of the target structure corresponding to the bed in the moving direction of the bed. It can be understood that the position coordinates of the bed corresponding to the target structure and the scanning range corresponding to the target structure have a certain corresponding relationship. The way of determining the position of the corresponding bed according to the position coordinates of the target structure needs to be the same as the way of determining the scanning range corresponding to the target structure according to the target structure.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an imaging scanning automatic positioning apparatus according to a third embodiment of the present invention. The imaging scanning automatic positioning device can be implemented by software and/or hardware, for example, the imaging scanning automatic positioning device can be configured in a computer device, as shown in fig. 3, the device includes: a positioning image acquisition module 310, a location information determination module 320, and a scan protocol determination module 330, wherein:
a positioning image acquisition module 310 for acquiring a positioning image of the subject;
a position information determining module 320, configured to determine position information of at least one target structure according to the positioning image;
a scan protocol determining module 330, configured to determine a scan protocol corresponding to the target structure based on the location information of the target structure.
According to the embodiment of the invention, a positioning image of a detected body is acquired through a positioning image acquisition module; the position information determining module determines the position information of at least one target structure according to the positioning image; the scanning protocol determining module determines a scanning protocol corresponding to the target structure based on the position information of the target structure, automatically determines the position information of the target structure by identifying the positioning image, and plans the scanning protocol based on the position information of each target structure, so that the automatic positioning of imaging scanning is accurately and quickly realized, the scanning mode is more reasonable, the imaging effect is improved, and the customized optimization of the target structure can be realized, such as the dynamic reconstruction of physiological signals or specific functional imaging.
On the basis of the scheme, the scanning protocol comprises at least one of bed information, scanning range and scanning parameters.
On the basis of the above scheme, the location information determining module 320 is specifically configured to:
and determining the position coordinates of the target structure in the positioning image according to the structure information of the target structure.
On the basis of the above scheme, the scan protocol determining module 330 includes a scan range optimizing unit, and the scan range optimizing unit is configured to:
and optimizing the scanning range of the target structure based on the position coordinates of the target structure.
On the basis of the above scheme, the scan range optimizing unit is specifically configured to:
aiming at least one target structure, enabling a target area formed by the coordinate values of the target structure to be included in a scanning area formed by the coordinate values of a scanning range corresponding to the target structure, and enabling the target structure to be located in the scanning range.
On the basis of the above solution, the scan protocol determining module 330 includes a scan parameter optimizing unit, and the scan parameter optimizing unit is configured to:
and optimizing scanning parameters of the target structure based on the position coordinates of the target structure.
On the basis of the above scheme, the scan parameter optimization unit is specifically configured to:
aiming at least one target structure, enabling a target area formed by the coordinate values of the target structure to be included in an optimized area formed by the coordinate values of the target structure corresponding to the optimized range of the scanning parameters, and enabling the target structure to be located in the optimized range of the scanning parameters.
On the basis of the above scheme, the scan protocol determining module 330 includes an overlap area optimizing unit, and the overlap area optimizing unit is configured to:
and optimizing the overlapping area of the scanning range of the target structure based on the position coordinates of the target structure.
On the basis of the above scheme, the overlap region optimization unit is specifically configured to:
and aiming at least one target structure, taking the coordinate value of the center of the target structure in the vertical direction as the coordinate value of the center of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is positioned in a non-overlapping area between the scanning ranges corresponding to the adjacent beds.
On the basis of the above scheme, the overlap region optimization unit is specifically configured to:
and aiming at least one target structure, taking the coordinate value of the edge of the target structure in the vertical direction as the coordinate value of the edge of the scanning range of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is positioned in the overlapping area between the scanning ranges corresponding to the adjacent beds.
On the basis of the above scheme, the positioning image obtaining module 310 is specifically configured to:
determining a pre-scanning area according to the detected scanning instruction;
scanning the pre-scanning area by using at least one preset imaging modality to obtain at least one group of pre-scanning data, and generating at least one pre-scanning image according to the pre-scanning data, wherein the pre-scanning image is a positioning image:
the imaging scanning automatic positioning device provided by the embodiment of the invention can execute the imaging scanning automatic positioning method provided by any embodiment, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 412 suitable for use in implementing embodiments of the present invention. The computer device 412 shown in FIG. 4 is only one example and should not impose any limitations on the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, computer device 412 is in the form of a general purpose computing device. Components of computer device 412 may include, but are not limited to: one or more processors 416, a system memory 428, and a bus 418 that couples the various system components (including the system memory 428 and the processors 416).
The system memory 428 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)430 and/or cache memory 432. The computer device 412 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage 434 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 418 by one or more data media interfaces. Memory 428 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in memory 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The computer device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing device, display 424, etc.), with one or more devices that enable a user to interact with the computer device 412, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 412 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 422. Also, computer device 412 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) through network adapter 420. As shown, network adapter 420 communicates with the other modules of computer device 412 over bus 418. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer device 412, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 416 executes programs stored in the system memory 428 to perform various functional applications and data processing, such as implementing an imaging scan automatic positioning method provided by an embodiment of the present invention, the method including:
acquiring a positioning image of a subject;
determining position information of at least one target structure according to the positioning image;
and determining a scanning protocol corresponding to the target structure based on the position information of the target structure.
Of course, those skilled in the art will understand that the processor may also implement the technical solution of the imaging scanning automatic positioning method provided by any embodiment of the present invention.
EXAMPLE five
The fifth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for automatic positioning of imaging scanning provided in the fifth embodiment of the present invention, where the method includes:
acquiring a positioning image of a subject;
determining position information of at least one target structure according to the positioning image;
and determining a scanning protocol corresponding to the target structure based on the position information of the target structure.
Of course, the computer program stored on the computer-readable storage medium provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the imaging scan automatic positioning method provided by any embodiments of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (12)
1. An imaging scanning automatic positioning method is characterized by comprising the following steps:
acquiring a positioning image of a subject;
determining position information of at least one target structure according to the positioning image;
determining a scanning protocol corresponding to the target structure based on the position information of the target structure;
wherein the determining the position information of at least one target structure according to the positioning image comprises:
determining the position coordinates of the target structure in the positioning image according to the structure information of the target structure;
correspondingly, the automatically determining the scanning protocol corresponding to the target structure based on the position information of the target structure includes:
and optimizing the overlapping area of the scanning range of the target structure based on the position coordinates of the target structure, determining the overlapping area or the non-overlapping area of the target structure arranged between the scanning ranges of adjacent beds according to the label of the target structure, and determining the size of the target structure influenced by the physiological state according to the label of the target structure.
2. The method of claim 1, wherein the scan protocol includes at least one of bed information, scan range, and scan parameters.
3. The method of claim 1, wherein determining the scanning protocol corresponding to the target structure based on the position information of the target structure comprises:
and optimizing the scanning range of the target structure based on the position coordinates of the target structure.
4. The method of claim 3, wherein the optimizing the scan range of the target structure based on the position coordinates of the target structure comprises:
aiming at least one target structure, enabling a target area formed by the coordinate values of the target structure to be included in a scanning area formed by the coordinate values of a scanning range corresponding to the target structure, and enabling the target structure to be located in the scanning range.
5. The method of claim 1, wherein determining the scanning protocol corresponding to the target structure based on the position information of the target structure comprises:
and optimizing scanning parameters of the target structure based on the position coordinates of the target structure.
6. The method of claim 5, wherein the optimizing of the scan parameters of the target structure based on the position coordinates of the target structure comprises:
aiming at least one target structure, enabling a target area formed by the coordinate values of the target structure to be included in an optimized area formed by the coordinate values of the target structure corresponding to the optimized range of the scanning parameters, and enabling the target structure to be located in the optimized range of the scanning parameters.
7. The method of claim 1, wherein optimizing the target structure for overlapping regions of the scan range based on the position coordinates of the target structure comprises:
and aiming at least one target structure, taking the coordinate value of the center of the target structure in the vertical direction as the coordinate value of the center of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is positioned in a non-overlapping area between the scanning ranges corresponding to the adjacent beds.
8. The method of claim 1, wherein optimizing the target structure for overlapping regions of the scan range based on the position coordinates of the target structure comprises:
and aiming at least one target structure, taking the coordinate value of the edge of the target structure in the vertical direction as the coordinate value of the edge of the scanning range of the bed corresponding to the target structure in the moving direction of the bed, so that the target structure is positioned in the overlapping area between the scanning ranges corresponding to the adjacent beds.
9. The method according to claim 1, wherein the acquiring a scout image of the subject includes:
determining a pre-scanning area according to the detected scanning instruction;
scanning the pre-scanning area by using at least one preset imaging modality to obtain at least one group of pre-scanning data, and generating at least one pre-scanning image according to the pre-scanning data, wherein the pre-scanning image is a positioning image.
10. An imaging scanning automatic positioning device, characterized in that the device comprises:
a positioning image acquisition module for acquiring a positioning image of the subject;
the position information determining module is used for determining the position information of at least one target structure according to the positioning image;
the scanning protocol determining module is used for determining a scanning protocol corresponding to the target structure based on the position information of the target structure;
wherein the determining the position information of at least one target structure according to the positioning image comprises:
determining the position coordinates of the target structure in the positioning image according to the structure information of the target structure;
correspondingly, the automatically determining the scanning protocol corresponding to the target structure based on the position information of the target structure includes:
and optimizing the overlapping area of the scanning range of the target structure based on the position coordinates of the target structure, determining the overlapping area or the non-overlapping area of the target structure arranged between the scanning ranges of adjacent beds according to the label of the target structure, and determining the size of the target structure influenced by the physiological state according to the label of the target structure.
11. A computer device, the device comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to perform operations comprising:
acquiring a positioning image of a subject;
determining position information of at least one target structure according to the positioning image;
determining a scanning protocol corresponding to the target structure based on the position information of the target structure;
wherein the determining the position information of at least one target structure according to the positioning image comprises:
determining the position coordinates of the target structure in the positioning image according to the structure information of the target structure;
correspondingly, the automatically determining the scanning protocol corresponding to the target structure based on the position information of the target structure includes:
and optimizing the overlapping area of the scanning range of the target structure based on the position coordinates of the target structure, determining the overlapping area or the non-overlapping area of the target structure arranged between the scanning ranges of adjacent beds according to the label of the target structure, and determining the size of the target structure influenced by the physiological state according to the label of the target structure.
12. A computer-readable storage medium, on which a computer program is stored, the program, when executed by a processor, performing operations comprising:
acquiring a positioning image;
determining position information of at least one target structure according to the positioning image;
determining a scanning protocol corresponding to the target structure based on the position information of the target structure;
wherein the determining the position information of at least one target structure according to the positioning image comprises:
determining the position coordinates of the target structure in the positioning image according to the structure information of the target structure;
correspondingly, the automatically determining the scanning protocol corresponding to the target structure based on the position information of the target structure includes:
and optimizing the overlapping area of the scanning range of the target structure based on the position coordinates of the target structure, determining the overlapping area or the non-overlapping area of the target structure arranged between the scanning ranges of adjacent beds according to the label of the target structure, and determining the size of the target structure influenced by the physiological state according to the label of the target structure.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910107788.9A CN109567843B (en) | 2019-02-02 | 2019-02-02 | Imaging scanning automatic positioning method, device, equipment and medium |
| US16/726,868 US11666241B2 (en) | 2019-02-02 | 2019-12-25 | System and method for medical imaging |
| US18/329,544 US20230320590A1 (en) | 2019-02-02 | 2023-06-05 | System and method for medical imaging |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910107788.9A CN109567843B (en) | 2019-02-02 | 2019-02-02 | Imaging scanning automatic positioning method, device, equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109567843A CN109567843A (en) | 2019-04-05 |
| CN109567843B true CN109567843B (en) | 2021-04-06 |
Family
ID=65918774
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910107788.9A Active CN109567843B (en) | 2019-02-02 | 2019-02-02 | Imaging scanning automatic positioning method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109567843B (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110037727A (en) * | 2019-04-22 | 2019-07-23 | 上海联影医疗科技有限公司 | Position quantization method, device, terminal and readable medium are put in imaging system |
| US11666241B2 (en) | 2019-02-02 | 2023-06-06 | Shanghai United Imaging Healthcare Co., Ltd. | System and method for medical imaging |
| CN109924993B (en) * | 2019-03-07 | 2021-07-02 | 上海联影医疗科技股份有限公司 | Imaging scanning protocol automatic planning method and device, electronic equipment and storage medium |
| EP3954295A4 (en) * | 2019-04-11 | 2022-06-08 | FUJIFILM Corporation | Radiation imaging system and method of operating same, and console for radiation imaging system |
| CN111918001A (en) * | 2019-05-10 | 2020-11-10 | 上海西门子医疗器械有限公司 | X-ray imaging control method, X-ray imaging control apparatus, and storage medium |
| CN110301928B (en) * | 2019-07-04 | 2023-07-28 | 沈阳智核医疗科技有限公司 | Method, device and system for reconstructing PET (positron emission tomography) image |
| CN110680321B (en) * | 2019-09-26 | 2023-08-29 | 东软医疗系统股份有限公司 | Spine MRI scanning parameter determining method and device and image processing equipment |
| CN112652049B (en) * | 2019-10-10 | 2022-09-27 | 上海联影医疗科技股份有限公司 | Heart scanning method, device, computer equipment and storage medium |
| CN112820383B (en) * | 2019-11-15 | 2023-04-28 | 上海联影医疗科技股份有限公司 | Medical imaging method, system and storage medium |
| CN110889819B (en) * | 2019-11-29 | 2023-04-28 | 上海联影医疗科技股份有限公司 | Medical image scanning method, device, equipment and storage medium |
| CN110960241A (en) * | 2019-12-09 | 2020-04-07 | 上海联影医疗科技有限公司 | Method and device for determining scanning parameters of medical image scanning and computer equipment |
| CN113075599B (en) * | 2020-01-03 | 2023-05-16 | 上海联影医疗科技股份有限公司 | Magnetic resonance signal acquisition method, magnetic resonance system and medium |
| CN117618010A (en) * | 2021-12-31 | 2024-03-01 | 上海联影医疗科技股份有限公司 | Method and system for automatically planning scanning |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103385728A (en) * | 2012-05-07 | 2013-11-13 | 上海西门子医疗器械有限公司 | X ray computed tomography method and X ray computed tomography system |
| CN103494613A (en) * | 2013-09-06 | 2014-01-08 | 沈阳东软医疗系统有限公司 | Plain film scanning method and device |
| CN107789001A (en) * | 2017-10-31 | 2018-03-13 | 上海联影医疗科技有限公司 | A kind of pendulum position method and system for image scanning |
| CN108182434A (en) * | 2017-12-27 | 2018-06-19 | 上海联影医疗科技有限公司 | A kind of image processing method and device |
| CN108294772A (en) * | 2017-12-31 | 2018-07-20 | 北京纳米维景科技有限公司 | A kind of CT scan vision positioning method and CT system |
| CN108968960A (en) * | 2018-06-27 | 2018-12-11 | 上海联影医疗科技有限公司 | Localization method and magnetic resonance system for magnetic resonance system |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2607749B2 (en) * | 1990-11-01 | 1997-05-07 | 株式会社東芝 | X-ray CT system |
| DE102004026616B4 (en) * | 2004-06-01 | 2007-09-20 | Siemens Ag | Method for measuring an examination area with a magnetic resonance apparatus |
| DE102010041774B4 (en) * | 2010-09-30 | 2020-10-08 | Siemens Healthcare Gmbh | Method for scanning a heart with a dual source CT device and configuration of a dual source CT device |
| US9521981B2 (en) * | 2012-04-11 | 2016-12-20 | Toshiba Medical Systems Corporation | X-ray CT system |
| US9814437B2 (en) * | 2013-10-24 | 2017-11-14 | Siemens Medical Solutions Usa, Inc. | Anatomic range planning in positron emission tomography |
| CN105078495B (en) * | 2014-04-30 | 2022-06-21 | 上海联影医疗科技股份有限公司 | PET-CT scanning imaging method and related imaging method |
| DE102014209803B4 (en) * | 2014-05-22 | 2016-03-03 | Siemens Aktiengesellschaft | 4D velocity profile image acquisition with a magnetic resonance system |
| CN104644205A (en) * | 2015-03-02 | 2015-05-27 | 上海联影医疗科技有限公司 | Method and system for positioning patient during diagnostic imaging |
| CN105389788B (en) * | 2015-10-13 | 2019-03-05 | 沈阳东软医疗系统有限公司 | The method for reconstructing and device, merging method and device of the more bed images of PET |
| CN105741303A (en) * | 2016-02-26 | 2016-07-06 | 上海联影医疗科技有限公司 | Medical image acquisition method |
| WO2019081355A1 (en) * | 2017-10-23 | 2019-05-02 | Koninklijke Philips N.V. | Reconstructing images for a whole body positron emission tomography (pet) scan with overlap and varying exposure time for individual bed positions |
| CN109567852B (en) * | 2019-01-15 | 2022-07-26 | 上海联影医疗科技股份有限公司 | Method for determining scanning range, method, device and equipment for acquiring medical image |
| CN109924993B (en) * | 2019-03-07 | 2021-07-02 | 上海联影医疗科技股份有限公司 | Imaging scanning protocol automatic planning method and device, electronic equipment and storage medium |
| CN110755075B (en) * | 2019-10-30 | 2023-07-25 | 上海联影医疗科技股份有限公司 | Magnetic resonance imaging method, apparatus, device and storage medium |
-
2019
- 2019-02-02 CN CN201910107788.9A patent/CN109567843B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103385728A (en) * | 2012-05-07 | 2013-11-13 | 上海西门子医疗器械有限公司 | X ray computed tomography method and X ray computed tomography system |
| CN103494613A (en) * | 2013-09-06 | 2014-01-08 | 沈阳东软医疗系统有限公司 | Plain film scanning method and device |
| CN107789001A (en) * | 2017-10-31 | 2018-03-13 | 上海联影医疗科技有限公司 | A kind of pendulum position method and system for image scanning |
| CN108182434A (en) * | 2017-12-27 | 2018-06-19 | 上海联影医疗科技有限公司 | A kind of image processing method and device |
| CN108294772A (en) * | 2017-12-31 | 2018-07-20 | 北京纳米维景科技有限公司 | A kind of CT scan vision positioning method and CT system |
| CN108968960A (en) * | 2018-06-27 | 2018-12-11 | 上海联影医疗科技有限公司 | Localization method and magnetic resonance system for magnetic resonance system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109567843A (en) | 2019-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109567843B (en) | Imaging scanning automatic positioning method, device, equipment and medium | |
| CN109961491B (en) | Multi-mode image truncation compensation method, device, computer equipment and medium | |
| CN106725570B (en) | Imaging method and system | |
| CN101596110B (en) | Automatic determination of field of view in cardiac Mri | |
| CN104346821B (en) | Automatic planning for medical imaging | |
| RU2518299C2 (en) | Attenuation correction for magnetic resonance coils in combined positron emission tomography/magnetic resonance system | |
| US10074037B2 (en) | System and method for determining optimal operating parameters for medical imaging | |
| CN105989621B (en) | Method and system for performing joint estimation techniques in image reconstruction | |
| CN109924993B (en) | Imaging scanning protocol automatic planning method and device, electronic equipment and storage medium | |
| CN106388843A (en) | Medical imaging equipment and scanning method thereof | |
| US11594321B2 (en) | Radiation dose reduction and improved consistency between sessions in hybrid imaging studies | |
| US10297023B2 (en) | Reconstruction of an image on the basis of one or more imaging modalities | |
| US10628963B2 (en) | Automatic detection of an artifact in patient image | |
| CN110458837B (en) | Image post-processing method and device, electronic equipment and storage medium | |
| US9691148B2 (en) | Medical imaging analyzer and medical image processing method | |
| US20160071263A1 (en) | System and method for image intensity bias estimation and tissue segmentation | |
| US9355454B2 (en) | Automatic estimation of anatomical extents | |
| CN114943714A (en) | Medical image processing system, medical image processing apparatus, electronic device, and storage medium | |
| WO2022012541A1 (en) | Image scanning method and system for medical device | |
| CN114202516A (en) | Foreign matter detection method and device, electronic equipment and storage medium | |
| US11495346B2 (en) | External device-enabled imaging support | |
| CN106466183B (en) | Work station, the medical imaging devices including it and control of which method | |
| US20230083704A1 (en) | Systems and methods for determining examination parameters | |
| US20180360405A1 (en) | Ct perfusion protocol targeting | |
| WO2023020609A1 (en) | Systems and methods for medical imaging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant after: Shanghai Lianying Medical Technology Co., Ltd Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |