CN101019152A - System and method for loading timepoints for analysis of disease progression or response to therapy - Google Patents

System and method for loading timepoints for analysis of disease progression or response to therapy Download PDF

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Publication number
CN101019152A
CN101019152A CNA2005800278618A CN200580027861A CN101019152A CN 101019152 A CN101019152 A CN 101019152A CN A2005800278618 A CNA2005800278618 A CN A2005800278618A CN 200580027861 A CN200580027861 A CN 200580027861A CN 101019152 A CN101019152 A CN 101019152A
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time point
data set
image data
written
image
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Inventor
V·R·拉马墨菲
A·克里什南
C·贝尔丁格
J·措尔德纳
M·马明
A·巴特
S·卡普林格
M·格卢思
P·豪曼
D·D·伯克哈德特
A·普拉茨
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Siemens AG
Siemens Medical Solutions USA Inc
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Siemens AG
Siemens Medical Solutions USA Inc
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/30Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/38Registration of image sequences

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  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
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Abstract

A system and method for loading a timepoint for comparison with a previously loaded timepoint are provided. The method comprises: selecting an image dataset of the timepoint (310); validating the image dataset of the timepoint against a validated image dataset of the previously loaded timepoint (320); and constructing a volume based on the image dataset of the timepoint (330).

Description

Be used to be written into the system and method for time point with analysis of disease progression or therapeutic response
The cross reference of related application
The application requires the U.S. Provisional Application No.60/581 that submitted on June 18th, 2004,136 rights and interests, and the copy of described application is incorporated into this with for referencial use.
Background technology
1. technical field
The present invention relates to medical image analysis, relate in particular to and be used to be written into the system and method for time point with analysis of disease progression or therapeutic response.
2. the discussion of correlation technique
Use the functional imaging of single photon emission computed tomography (SPECT) and PET (positron emission tomography) (PET) extremely valuable in the diagnosis of various medical conditions.Yet the uncertainty to the definition of the anatomy of SPECT and PET image has limited their serviceability sometimes.In order to overcome this point, use the function SPECT of same section of magnetic resonance image (MRI) (MRI) and X ray computer tomography (CT) image and health or the combination of PET image sometimes.This provides supplementing anatomical (MRI or CT) and physiology (SPECT or PET) information, and this information is very important for research, diagnosis and treatment.
Function body image and structural images are two types of medical worker's medical image of being used to diagnose some medical conditions.Function body image (for example those images that drawn from SPECT or PET scanning) provides physiologic information, and structural images (for example from those images that CT or MRI drew) provides the internal anatomy of health.Different medical imaging technologies can provide information additional and that conflict once in a while for scanning.For example, use the such image of picture archive communication system (PACS) (by image co-registration or image registration) combination may usually cause unconspicuous additional clinical information in independent image.Thereby, be applied on the functional diagram image set by structure being dissected framework, even also can determine the position of in latter's function image tumour or other pathologies in the place that has inadequate anatomical detail.
Although utilize the structure of compound, the overlapping medical image of image registration mainly to be used to the fusion of function and anatomic image, it also has been applied to the image of series of identical mode.Such example is to the registration of the SPECT image of same object in follow-up study or in the image that has normal picked-up characteristic and the comparison that has suspicious unusual image.In addition, the image registration of SPECT and PET image and utilize to dissect the SPECT of atlas and the registration of PET image provides important means estimating SPECT and PET is radiopharmaceutic relatively absorbs characteristic, and picked-up characteristic and anatomy are associated.
Multimodal medical image registration becomes the visualization tool that can help early detection tumour and other diseases and help to improve diagnostic accuracy greatly just fast.For example since in CT and MRI image the low contrast between cancer and the surrounding tissue, even under the help of the structural information such such as CT and MRI, the radiologist usually also is difficult to the location and accurately discerns cancerous tissue.Yet,, might obtain the high contrast images of antibody concentration in the tumour by using SPECT and being with radiolabeled monoclonal antibody.
Thereby the output and the intensity of a plurality of medical image systems of expectation combination further.Yet, owing to registration and visual some defective that exists of combination, its transmission and the networking and the combination picture of different file structures.For example, such system typically do not support from the data set of different modalities more than several combinations.In addition, the variation that many systems do not provide fast and device is used for analyzing tumour accurately.And many systems do not provide rapid technology to be used to aim at medical image from different time points.For example, in order accurately to analyze the variation in the tumour, usually need the image that is scanned at different time points of more identical mode.
Therefore, need a kind of technology, described technology allows the medical worker relatively to utilize identical or different mode at the patient scan that different time obtained, make the medical worker can with cost effectively and efficiently the mode information of making more diagnose, treat and follow the tracks of decision.
Summary of the invention
The present invention has overcome the aforementioned and other problems that runs in the known teachings by being provided for being written into time point with the system and method for analysis of disease progression or therapeutic response.
In one embodiment of the invention, a kind ofly be used to be written into the method for time point, comprise to compare with the time point that before had been written into:
Select the image data set of described time point; The image data set that is verified of the time point that contrast before had been written into is verified the image data set of described time point; With image data set structural volume based on described time point.
The image data set of the image data set of described time point and the time point that before had been written into comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
The image data set of the image data set of described time point and the time point that before had been written into comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series respectively.
Image sequence in each of the image data set of the image data set of described time point and the time point that before had been written into all comprises from before the treatment, during the treatment and the data of one of treatment back research.
Described method further comprises: utilize one of autoregistration, boundary mark registration and vision registration to come the image data set of the described time point of registration and the image data set of the time point that before had been written into.Employed autoregistration comprises during the step of the image data set of the image data set of the described time point of registration and the time point that before had been written into: first image sequence of the image data set of the described time point of registration and second image sequence; First image sequence of the image data set of first image sequence of the image data set of the described time point of registration and the time point that before had been written into; Second image sequence of the image data set of first image sequence of the image data set of the time point that before had been written into registration and the time point that before had been written into.
In another embodiment of the present invention, a kind ofly be used to be written into the method for time point with analysis of disease progression or therapeutic response, comprising: the image data set of selecting first time point; Be written into the image data set of first time point; Verify the image data set of first time point; Image data set structural volume based on first time point; Select the image data set of second time point; Be written into the image data set of second time point; The image data set that is verified that contrasts first time point is verified the image data set of second time point; With image data set structural volume based on second time point.
The image data set of the image data set of first time point and second time point comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
The image data set of the image data set of first time point and second time point comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series respectively.
Image sequence in each of the image data set of the image data set of first time point and second time point all comprises from before the treatment, during the treatment and the data of one of treatment back research.
Described method further comprises: whether the image data set of determining first time point is selected ambiguously; Whether selected ambiguously with the image data set of determining second time point.
In another embodiment of the present invention, a kind ofly be used to be written into the system of time point to compare with the time point that before had been written into, comprising: be used for stored program memory device; With the processor of described memory device communication, described processor can be with described procedure operation with the image data set of selecting described time point; The time point that before had been written into of contrast be verified the image data set that image data set is verified described time point; With image data set structural volume based on described time point.
The image data set of the image data set of described time point and the time point that before had been written into comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
The image data set of the image data set of described time point and the time point that before had been written into comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series respectively.
Image sequence in each of the image data set of the image data set of described time point and the time point that before had been written into all comprises from before the treatment, during the treatment and the data of one of treatment back research.
The further available described program code of described processor is operated the image data set with the time point that utilizes one of autoregistration, boundary mark registration and vision registration to come the image data set of the described time point of registration and before be written into.When the image data set of the image data set of the described time point of autoregistration and the time point that before had been written into, the further available described program code operation of described processor is with first image sequence of the image data set of the described time point of registration and second image sequence; First image sequence of the image data set of first image sequence of the image data set of the described time point of registration and the time point that before had been written into; Second image sequence of the image data set of first image sequence of the image data set of the time point that before had been written into registration and the time point that before had been written into.
In an embodiment of the present invention, a kind ofly be used to be written into the system of time point, comprise: be used for stored program memory device with analysis of disease progression or therapeutic response; With the processor of described memory device communication, described processor can be with described procedure operation with the image data set of selecting first time point; Be written into the image data set of first time point; Verify the image data set of first time point; Image data set structural volume based on first time point; Select the image data set of second time point; Be written into the image data set of second time point; The image data set that is verified that contrasts first time point is verified the image data set of second time point; With image data set structural volume based on second time point.
The image data set of the image data set of described time point and the time point that before had been written into comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
The image data set of the image data set of first time point and second time point comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series respectively.
Image sequence in each of the image data set of the image data set of first time point and second time point all comprises from before the treatment, during the treatment and the data of one of treatment back research.
The further available described program code operation of described processor with: whether the image data set of determining first time point is selected ambiguously; Whether selected ambiguously with the image data set of determining second time point.
Aforementioned feature belongs to exemplary embodiments and is provided with helping understand the present invention.Should be understood that, do not wish to regard aforementioned feature as limit limitation of the present invention as claim, or the restriction that equivalence is replaced to claim.So this general introduction of feature should not be considered to determining that equivalence is conclusive in replacing.In the following description, will understand supplementary features of the present invention from accompanying drawing and claims.
Description of drawings
Fig. 1 is the block diagram of system that is used to be written into time point according to an exemplary embodiment of the present invention;
Fig. 2 is the process flow diagram that is written into diagram being used to according to an exemplary embodiment of the present invention the method for time point;
Fig. 3 is written into diagram being used to according to an exemplary embodiment of the present invention the process flow diagram of time point with the method that compares with previous loaded time point;
Fig. 4 is the patient's browser that is used to select time point to be written into according to an exemplary embodiment of the present invention;
Fig. 5 is a chart of creating diagram being used to according to an exemplary embodiment of the present invention the hierarchy of time point;
Fig. 6 is the series tabulation dialog box that the effective and invalid image sequence of the time point that is used to be written into according to an exemplary embodiment of the present invention is shown;
Fig. 7 is diagram according to the process flow diagram of method that is used to be written into time point of another exemplary embodiments of the present invention;
Fig. 8 is diagram according to the process flow diagram of method that is used for being written into ambiguously time point of another exemplary embodiments of the present invention.
Embodiment
Exemplary embodiments of the present invention relates to the multi-modal application that allows two or more researchs to compare mutually.This is typically by relatively ID and treatment spotting scaming are afterwards finished.For example the present invention can be used for one or several follow-up study and is performed to estimate the tumor cases of progression of disease and therapeutic response.The present invention also can be applied to change-detection and can be used to detect in the medical mode of pathology, tumour, cancer etc.
For example, the present invention can be used in the following medical imaging field: by along with time utilization computer tomography (CT) or magnetic resonance (MR) imaging (PET (positron emission tomography) (PET) or CT), single photon emission computed tomography (SPECT) therapeutic response of carrying out change-detection monitors; Detect by the osteocarcinoma of carrying out bone segmentation and lesion detection; Use the liver cancer of perfusion and spectroscopic methodology to detect; In conjunction with perfusion and spectroscopic methodology and identify the breast cancer detection of optimum or malignant tumour; With by using semi-automatic and automated tool to be used for the neurology that brain structure (as the hippocampus volume) is carried out volumetry.
The mode of using for the present invention for example is: static decay is proofreaied and correct (AC) PET, static non-correction for attenuation (NAC) PET and respiration gate control PET; Static AC SPECT or nuclear medicine (NM) and static NAC SPECT or NM; High-resolution ct, low resolution CT, spiral CT and respiration gate control CT; High resolving power magnetic resonance (MR); With ultrasonic.The present invention can be written into organic frame title (gantry-titled) data set.In addition, the present invention can accept to comprise not the image sequence of section equidistantly or comprise the image sequence of overlapping section.
The present invention can further be written into static AC PET or static NAC PET data set, described data set with merge by PET/CT scanner or the corresponding CT data set that is registered on autonomous device, gathered from patient research.In addition, can be written into static AC SPECT or static NAC SPECT data set, described data set with merge by SPECT/CT scanner or the corresponding CT data set that is registered on autonomous device, gathered from patient research.In addition, two of identical modality type series can be written into and be shown in the mode that merges in single time point.For example, the present invention can allow CT data set and another CT data set to merge, and wherein two data sets are gathered by identical CT scan device or distinct device.
Fig. 1 be according to an exemplary embodiment of the present invention be used to be written into the block diagram of time point with the system 100 of analysis of disease progression or therapeutic response.
As shown in fig. 1, system 100 especially comprises some scanning device 105a, b...x, the computing machine 110 and the operator's console 115 that connect via network 120.Scanning device 105a, b...x can be respectively in MR imaging device, CT imaging device, spiral fashion CT equipment, PET equipment, SPECT equipment, PET-CT mixing apparatus, SPECT-CT mixing apparatus, two dimension (2D) or three-dimensional (3D) fluorescence imaging equipment, 2D, 3D or the four-dimension (4D) supersonic imaging apparatus or the x ray equipment.Except aforementioned scanning device, scanning device 105a, one of b...x or all can be multi-modal or mixed sweep equipment, it for example can generate PET and CT scan with PET pattern, SPECT pattern or MR mode scanning or from single mixing apparatus.
Computing machine 110 can be portable or laptop computer, PDA(Personal Digital Assistant) etc., comprises CPU (central processing unit) (CPU) 125 and the storer 130 that are connected to input end 150 and output terminal 155.CPU 125 comprises that time point insmods 145, and described time point insmods and comprises and be used to be written into time point one or more methods with analysis of disease progression or therapeutic response.
Storer 130 comprises random-access memory (ram) 135 and ROM (read-only memory) (ROM) 140.Storer 130 also can comprise data set, CD, DVD, CD drive etc. or their combination.RAM 135 serves as storage when the data-carrier store of employed data and as the workspace during the executive routine in CPU 125.ROM 140 serves as the program storage that is used for being stored in the performed program of CPU 125.Input end 150 is made of keyboard, mouse etc., and output terminal 155 is made of LCD (LCD), cathode ray tube (CRT) display or printer.
The operation of system 100 is from operator's console 115 Be Controlled, and described operator's console comprises controller 165 (for example keyboard) and display 160 (for example CRT monitor).Operator's console 115 is communicated by letter with scanning device 105 with computing machine 110, makes by scanning device 105a, and the collected 2D view data of b...x can be rendered as the 3D data and be presented on the display 160 by computing machine 110.Should be understood that, computing machine 110 can be configured in order to for example to utilize input 150 and output 155 equipment to operate and show by scanning device 105a under the situation that does not have operator's console 115, the information that b...x provided is to carry out some task of being finished by controller 165 and display 160.
Operator's console 115 further comprises any suitable image reproducing system/tool/application, and its Digital Image Data that can handle the image data set of being gathered (or its part) is to generate and demonstration 2D and/or 3D rendering on display 160.More specifically, image reproducing system can a kind of application program, and this application program provides the 2D/3D of medical image to reproduce and shows, and carries out on universal or special computer workstation.Computing machine 110 can comprise that also the Digital Image Data that is used to handle the image data set of being gathered is to generate and to show the image reproducing system/tool/application of 2D and/or 3D rendering.
As shown in fig. 1, time point insmods and 145 also can be used to receive and to handle digital medical image data by computing machine 110, wherein as mentioned above, the described digital medical image data form that can adopt has raw image data, 2D data reconstruction (for example axial slices) or 3D data reconstruction (for example volumetric image data or many planar reformat) or any combination of form like this.Data processed result can be reproduced with 2D and/or the 3D that is used for generating according to data processed result (for example the cutting apart of organ or anatomical structure, color or brightness change or the like) view data by the image reproducing system that network 120 is output to the operator's console 115 from computing machine 110.
Fig. 2 is the process flow diagram that is written into diagram being used to according to an exemplary embodiment of the present invention the method for time point.As shown in Figure 2, the user selects the image data set (210) of first time point by patient's browser 400 of Fig. 4.The image data set of first time point can comprise one of following combination of image sequence: single CT series; Single PET series; Single SPECT series; From identical research or from the CT of difference research and the combination of PET series; With from identical research or from the CT of difference research and the combination of SPECT series.In table 1, listed the typical data collection combination that is used for single time point below.
Table 1
Be used for the data set or the combination of single time point
Single CT series
Single PET-AC series
Single PET-NAC series
Single SPECT-AC series
Single SPECT-NAC series
CT series+PET-AC series
CT series+PET-NAC series
CT series+SPECT-AC series
CT series+SPECT-NAC series
Single MR series
MR series+PET-AC series
MR series+PET-NAC series
MR series+SPECT-AC series
MR series+SPECT-NAC series
The image data set of first time point and follow-up time point can be studied from before treating, during the treatment or treatment back.In addition, identical image sequence can be used as a series and is included in first time point and the follow-up time point.For example, in the sample patient hierarchy shown in Fig. 5, high-resolution ct series and PET AC series can be combined forming first time point, and high-resolution ct is serial and PET NAC series can be combined to form second time point.In other words, single time point can be facilitated first and second time points.
In case image data set is selected, then described image data set can be written in the following manner, promptly pulls and is put on the viewing area from patient's browser 400; Click expansion button and the related data of double-clicking on patient's browser 400 on patient's browser 400.For example, the user can carry out the relevant expansion button that is used to be written into of selecting and click in patient's browser 400.Data in patient's browser 400 select rank can be in series, research or patient's level.In addition, from can be by the local data sets of patient's browser 400 visit the image data set in different sources also can be selected for and be written into.For example, provide interface can be used to be written into from picture archive communication system (PACS) browser with the parts that allow integrated software package.
After the image data set of selecting first time point, authentication image data set (220).This is for example by using image head (imageheader) information that is associated with the image sequence of image data set to realize.Thereby, be selected for when being written into when comprising research at different patient's header of single and a plurality of time points, can eject the warning dialog box pointing out that to the user patient ID is different, thereby and point out to be used to be written into the correct way of image sequence.The warning dialog box also can be used to point out the user's modification patient ID.In case image data set is verified, then construct the volume (230) that is associated with image data set.
Come the construct image data set by resolving each image with each image of classification based on various image attributes (for example sweep time, section position and position).Then based on image collection structure 3D volume.In case image data set is configured, then described image data set is displayed on (240) on the user interface.Since the image data set of first time point is written into, can be written into the image data set of second time point.
Fig. 3 is written into diagram being used to according to an exemplary embodiment of the present invention the process flow diagram of time point with the method that compares with the time point that before had been written into.As shown in Figure 3, in case the image data set of first time point is written into, then can select the image data set (310) of second time point.Be similar to the image data set of selecting first time point, can select the image data set of second time point by patient's browser 400.In addition, second time point can be at one in the above-mentioned image sequence of first time point.After the image data set of selecting second time point in order to be written into, authentication image data set (320).
When the image data set of checking second time point, determine that whether image data set is to be used for putting for a long time one of effective combination of the data set that is written into and to be classified then.In the following chart 2 tabulation that is used for putting for a long time effective combination of the data set that is written into has been shown.As shown, for example in table 2, if the combination below selecting: from the CT+PET series of a research or CT+SPECT series and CT+PET series or CT+SPECT series from different researchs, then described combination will be written into automatically.
Table 2
First time point Second time point
Independent or with the PET AC of NAC Independent or with the PET AC of NAC
Independent or with the PET AC of NAC+CT
Independent or with the PET AC of NAC+MR
SPECT
Independent or with the SPECT AC of NAC Independent or with the SPECT AC of NAC
Independent or with the SPECT AC of NAC+CT
Independent or with the SPECT AC of NAC+MR
?PET
?CT ?CT
CT+ independent or with the PET AC of NAC
CT+ independent or with the SPECT AC of NAC
MR
?MR MR
MR+ independent or with the PET AC of NAC
MR+ independent or with the SPECT AC of NAC
CT
Independent or with the PET AC of NAC+CT Independent or with the PET AC of NAC
CT
Independent or with the PET AC of NAC+CT
MR
SPECT
Independent or with the SPECT A of NAC+CT Independent or with the SPECT AC of NAC
CT
Independent or with the SPECT AC of NAC+CT
MR
PET
Shown in further in the table 2, if be written into the image data set of first time point, comprise independent or with the SPECT AC data set of NAC data set, then from the SPECT NAC data set of first time point, independent or with the SPECTAC data set of NAC data set and independent or can be written into as second time point with any one of the SPECTAC data centralization of NAC data set and CT data set.
Yet if the image data set of second time point is not one of effective combination of the data set that is used to be written into, series dialog frame 600 that can displayed map 6 shows effective combination of the data set that is used to be written into to the user.For example, all series to be written into can be listed in series dialog frame 600 and together be shown to the user with the tabulation (if present) of invalid series.Effective tabulation of series can comprise necessary row to be distinguished the type (for example mode and NAC/AC row) of series and utilizes these to allow the user, and the user can select to constitute those series of effective second time point.
As in the table 2 further shown in owing to suppose that no matter when the user selects PET AC data set and is written into, PET AC data set all will be shown, so PET or SPECT AC and NAC data set are not listed separately.Similarly, when the user selected PET NAC data set and is written into, PET NAC data set will together be written into the CT data set and show.The user can be switched between PET AC and PET NAC data set then.Identical functions also is applicable to SPECT AC/NAC data set.
In case the image data set of first time point is verified, then related with image data set volume is configured (330) and is shown (340) then.Since second time point is written into, it can compare with first time point.Thereby, in case second time point be written into and be shown subsequently, then the medical worker can be between the data set of first and second time points comparison or diagnose medical conditions or therapeutic response.
Should be understood that after image data set was written into, they were registered.Registration is the process of aiming at medical image.In other words, it is to be used to aim at by different modalities or by the program of a mode at two input pictures that different time generated.During registration, one of data centralization for example will be fixed on fixed position, and another data set will be transformed (for example by translation, rotation or convergent-divergent) to aim at two data sets.Fixing data set also can be called as reference volume, and data set to be transformed can be called as the model volume.Thereby, carry out the anatomical structure of geometric transformation for the model volume with the match reference volume.
According to an exemplary embodiment of the present invention, can use several method for registering/algorithms.They for example can be: automatically/and interactive information registration (for example autoregistration); Boundary mark registration and vision alignment (for example manually mating).
Autoregistration is based on the full-automatic matching algorithm of interactive information or standardization interactive information.Yet before the beginning autoregistration, the user can carry out vision alignment to improve the performance of autoregistration.Should be understood that autoregistration may take place simultaneously with one or more steps that are written into.
Autoregistration may further comprise the steps: first image sequence of first image data set of registration first time point and second image sequence; First image sequence of first image sequence of first image data set of registration first time point and second image data set of second time point; Second image sequence with second image data set of first image sequence of second image data set of registration second time point and second time point.
For example, after two CT-PET scannings are written into, be the registration that first and second time points begin CT-PET scanning in order.In case finish the CT-PET registration, then begin registration with two CT researchs of coupling between first and second time points.When autoregistration took place, the progress of registration can be with alpha blended (alpha blended) image (for example fused images) by visual.The progress text that also can show the current progress of indicating autoregistration.
The boundary mark registration is the identification of the known mark at the aligned position place in two image sequence.Algorithm calculates registration from described identification.Vision alignment is carried out on fused data set.Be maintained fixed and utilize vision alignment control with reference to series, model series can be by translation/rotation to aim at reference picture.
Fig. 7 is diagram according to the process flow diagram of method that is used to be written into time point of another exemplary embodiments of the present invention.As shown in Figure 7, select the image data set of time point to be used for being written into (705) from patient's browser.Classify then and authentication image data set (710).In other words, image data set is verified to see whether it will form suitable 3D volume and be classified then.Can be as mentioned above with reference to figure 2 authentication image data sets.The classification of image data set can be performed by using series tabulation dialog box 600.For example, series tabulation dialog box 600 indications when invalid series are present in when being selected for the view data that is written into and concentrating, thereby allow the user to reselect the suitable series that is used to be written into.Yet all combinations for listing in the top table 1 are written into generation, and do not show series tabulation dialog box, because these situations are considered to the clear and definite sight that is written into.
In case image data set is classified and verifies, determine then whether the image data set of time point is the effective image data set (715) that is used to be written into.Thereby if image data set is verified in step 710, described process continues to determine whether the time point stored data sets is empty (720).If image data set is not verified in step 710, then described process continues to determine whether time point is selected (B) ambiguously.This will be described with reference to figure 8 hereinafter in more detail.
If the specified data collection is not empty in step 720, then time point is written into (725).After time point is written into, determine whether time point that newly is written into and the time point that before had been written into comprise the effective combination (730) that is used for putting for a long time the image data set that is written into.The tabulation that is used for putting for a long time effective combination of the data set that is written into has been shown in table 2 above.
After checking is used for putting effective combination of the data set that is written into for a long time, determine whether image data set is clearly selected (735).If the image data set combination is one of effective combination of the top data set of listing, determine that then this image data set combination is clearly selected in table 2.If it is clear and definite selecting, then is written into (740) for a long time and is shown then for comparison.Return refer step 725, data set does not comprise established data (two time points that for example before had been written into) if time point also is written into, and the unloaded and specific loading of then naming a person for a particular job two time will be written into, thereby data set unloaded (A).
Yet if there is not data set to be written in step 720, the image data set of selected time point is written at single time point and is verified (745).One of situation about listing in table 3 below if image data set satisfies, then this image data set can be verified being used to and be written into.
Table 3
Selected data set What as a result of take place is written into
All combinations in the table 1 The corresponding data collection should be written into as first time point
Single series (CT and PET or SPECT) with a plurality of volumes Should be written into as first time point from the CT of the single series of particular studies or PET or SPECT image
The research (CT or PET or SPECT) that has single series (a) Should be written into as first time point from the CT of the single series of particular studies or PET or SPECT image
Have the research of following configuration: the CT high resolving power, PET AC and/or PET NAC (optional) are (b) CT high resolving power and PET should be written into to merge demonstration as first time point
Have the research of following configuration: the CT high resolving power, SPECT AC and/or SPECT NAC (optional) are (c) CT high resolving power and SPECT should be written into to merge demonstration as first time point
The patient who has research configuration (a) Directly be written into CT or PET or SPECT image from the single series of particular studies
The patient who has research configuration (b) CT high resolving power and PET should be written into to merge demonstration
The patient who has research configuration (c) CT high resolving power and SPECT should be written into to merge demonstration
If the selection to selected time point is clear and definite (750), that is to say that if the image data set of time point satisfies one of situation in the table 3, then time point is written into (755), the process of being written into is finished and loaded image can be shown for comparing.Yet if time point is indefinite (750), described process is proceeded indefinite being written into (B), and this will be described with reference to figure 8 hereinafter.
Fig. 8 is the process flow diagram that be used for the time point indefinite method that be written into of diagram according to another exemplary embodiments of the present invention.As shown in Figure 8, in case determine that the selection to selected time point is indefinite, then series dialog frame 600 can be used to help the user to find effective time point combination (805).When being written into: two above image data sets; The combination of SPECT+PET series; Single research with series more than two; A plurality of researchs with a plurality of series; Patient with a plurality of researchs; When perhaps invalid input was serial, series dialog frame 600 typically was displayed to the user.
When new time point (for example first time point) selected and time point stored data base from the series dialog frame comprises data, data unloaded (A).Then by determine whether time point is that time point (810) is verified in one of top typical data collection combination that is used for single time point of listing in surface 1.If time point is effective combination (815), then it is written into (820) and loaded image and can be shown for relatively.Yet if time point is not effective combination (815), message for example appears in the pop-up box (840) and reselects input picture series with the prompting user from series dialog frame 600.In this, the user can decide the described process (845) that do not continue by the demonstration and the terminal procedure of cancellation series dialog frame 600.
When the series dialog frame 600 that has a time point that has been written into when utilization is selected new time point, determine whether new time point of selecting and the time point that before had been written into comprise the effective combination (830) that is used for putting for a long time the image data set that is written into.The tabulation that is used for putting for a long time effective combination of the image data set that is written into has been shown in table 2 above.If new time point of selecting and the time point that before had been written into are the effective combinations that is used for the data set that a plurality of time points are written into, then the time point of new selection is written into (835).Yet if new time point of selecting and the time point that before had been written into are not effective combination (830), message appears in the pop-up box (840) and reselects input picture series to point out the user from series dialog frame 600.The user also can finish described process (845) by the demonstration of cancellation series dialog frame 600.
According to an exemplary embodiment of the present invention, the image data set that belongs to various mode can be used to the diagnosis and the Objective of Report.This permission medical worker compares the patient scan from two different time points (for example before the treatment and after treating) effectively.By autoregistration be presented at PET/CT or the SPECT-CT image from research that different time gathers, the present invention helps medical worker's information of carrying out more to diagnose, treat and follow the tracks of decision.
Should be understood that the present invention can realize with hardware, software, firmware, application specific processor or the multi-form of their combination.In one embodiment, the present invention can be to realize as the software that is embodied in the application program on the program storage device (for example magnetic floppy disc, RAM, CD ROM, DVD, ROM, and flash memory) really.Application program can upload to the machine that comprises any suitable architecture and by its operation.
Further should be understood that, because some shown in the accompanying drawing are formed system units and method step can be realized with software, so the mode that can be programmed according to the present invention of the actual connection between the system unit (or process steps) and difference.Known to the instruction of the present invention that this provided, those of ordinary skill in the art can predict these and similarly implementation or configuration of the present invention.
Also should be understood that, more than describe and only represent exemplary embodiment.The reader more than describes concentrating on the exemplary of possible embodiment for convenience, and described example is illustrating of principle of the present invention.Describe and do not attempt exhaustive all possible modification.Alternative may not be that the replacement scheme that does not perhaps further describe can be used for a part for specific part of the present invention provides, and should not be regarded as abandoning of those replacement schemes.Under the situation that does not break away from the spirit and scope of the present invention, can realize other application and embodiment.
So be intended that the present invention not office be formed on specifically described embodiment, reason is to produce above multiple displacement and combination and comprises the implementation that above non-creativeness is replaced, but the present invention will be defined according to accompanying Claim.Be understandable that many embodiment that those are not described are in the literal expression scope of following claim, and other embodiment are equivalent.

Claims (24)

1. one kind is used to be written into the method for time point to compare with the time point that before had been written into, and comprising:
Select the image data set of described time point;
The image data set that is verified of the time point that contrast before had been written into is verified the image data set of described time point; With
Image data set structural volume based on described time point.
2. method according to claim 1, the image data set of the image data set of wherein said time point and the time point that before had been written into comprise the data of being gathered respectively from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality.
3. method according to claim 2, the image data set of the image data set of wherein said time point and the time point that before had been written into comprise in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series respectively.
4. method according to claim 3, the image sequence in each of the image data set of the image data set of wherein said time point and the time point that before had been written into all comprise from before the treatment, during the treatment and the data of one of treatment back research.
5. method according to claim 1 further comprises: utilize one of autoregistration, boundary mark registration and vision registration to come the image data set of the described time point of registration and the image data set of the time point that before had been written into.
6. method according to claim 5, wherein employed autoregistration comprises during the step of the image data set of the image data set of the described time point of registration and the time point that before had been written into:
First image sequence of the image data set of the described time point of registration and second image sequence;
First image sequence of the image data set of first image sequence of the image data set of the described time point of registration and the time point that before had been written into; With
Second image sequence of the image data set of first image sequence of the image data set of the time point that registration before had been written into and the time point that before had been written into.
7. one kind is used to be written into the method for time point with analysis of disease progression or therapeutic response, comprising:
Select the image data set of first time point;
Be written into the image data set of first time point;
Verify the image data set of first time point;
Image data set structural volume based on first time point;
Select the image data set of second time point;
Be written into the image data set of second time point;
The image data set that is verified that contrasts first time point is verified the image data set of second time point; With
Image data set structural volume based on second time point.
8. method according to claim 7, wherein the image data set of the image data set of first time point and second time point comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
9. method according to claim 8, wherein the image data set of the image data set of first time point and second time point comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series one respectively.
10. method according to claim 9, wherein the image sequence in each of the image data set of the image data set of first time point and second time point all comprises from before the treatment, during the treatment and the data of one of treatment back research.
11. method according to claim 7 further comprises:
Determine whether the image data set of first time point is selected ambiguously.
12. method according to claim 7 further comprises:
Determine whether the image data set of second time point is selected ambiguously.
13. one kind is used to be written into the system of time point to compare with the time point that before had been written into, comprises:
Be used for stored program memory device;
With the processor of described memory device communication, described processor can with described procedure operation with:
Select the image data set of described time point;
The time point that before had been written into of contrast be verified the image data set that image data set is verified described time point; With
Image data set structural volume based on described time point.
14. system according to claim 13, the image data set of the image data set of wherein said time point and the time point that before had been written into comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
15. system according to claim 14, the image data set of the image data set of wherein said time point and the time point that before had been written into comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series respectively.
16. system according to claim 15, the image sequence in each of the image data set of the image data set of wherein said time point and the time point that before had been written into all comprise from before the treatment, during the treatment and the data of one of treatment back research.
17. system according to claim 14, the further available described program code operation of wherein said processor with:
The image data set of the time point that utilizes one of autoregistration, boundary mark registration and vision registration to come the image data set of the described time point of registration and before be written into.
18. system according to claim 17, wherein when the image data set of the image data set of the described time point of autoregistration and the time point that before had been written into, the further available described program code operation of described processor with:
First image sequence of the image data set of the described time point of registration and second image sequence;
First image sequence of the image data set of first image sequence of the image data set of the described time point of registration and the time point that before had been written into; With
Second image sequence of the image data set of first image sequence of the image data set of the time point that registration before had been written into and the time point that before had been written into.
19. one kind is used to be written into the system of time point with analysis of disease progression or therapeutic response, comprises:
Be used for stored program memory device;
With the processor of described memory device communication, described processor can with described procedure operation with:
Select the image data set of first time point;
Be written into the image data set of first time point;
Verify the image data set of first time point;
Image data set structural volume based on first time point;
Select the image data set of second time point;
Be written into the image data set of second time point;
The image data set that is verified that contrasts first time point is verified the image data set of second time point; With
Image data set structural volume based on second time point.
20. system according to claim 19, the image data set of the image data set of wherein said time point and the time point that before had been written into comprises the data of being gathered from one of computer tomography (CT), PET (positron emission tomography) (PET), single photon emission computed tomography (SPECT), magnetic resonance (MR) and ultrasound modality respectively.
21. system according to claim 20, wherein the image data set of the image data set of first time point and second time point comprises in the combination of combination, MR and SPECT image sequence of combination, CT and SPECT image sequence of combination, MR and PET image sequence of CT image sequence and MR image sequence, PET image sequence and SPECT image sequence, CT and PET image sequence and the ultrasonoscopy series one respectively.
22. system according to claim 21, wherein the image sequence in each of the image data set of the image data set of first time point and second time point all comprises from before the treatment, during the treatment and the data of one of treatment back research.
23. system according to claim 19, the further available described program code operation of wherein said processor with:
Determine whether the image data set of first time point is selected ambiguously.
24. system according to claim 19, the further available described program code operation of wherein said processor with:
Determine whether the image data set of second time point is selected ambiguously.
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