CN104750951A - Analytical processing method and device of medical image data - Google Patents
Analytical processing method and device of medical image data Download PDFInfo
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Abstract
The invention discloses an analytical processing method and device of medical image data. The method comprises the following steps: obtaining medical image data, and grouping the medical image data on the basis of the time information of the medical image data to obtain multiple groups of medical image data sets, wherein the same group of medical image data set owns the same time information; sorting the multiple groups of medical image data sets according to a time sequence; and analyzing at least two groups of medical image data sets in multiple groups of sorted medical image data sets to trace focuses. The method can effectively process the medical image data at multiple time points, so that the complex medical image data can be mutually related, doctors can clearly, quickly and conveniently obtain the mutually-related medical image data so as to conveniently check, compare and analyze multiple groups of medical image data at different time points, and finally, the focuses can be accurately traced on the basis of an analysis result.
Description
Technical field
The present invention relates to medical image data process field, particularly relate to a kind of analysis and processing method and device of medical image data.
Background technology
Along with the development of computer science and infotech, medical imaging technology have also been obtained and develops rapidly, and various medical imaging device continues to bring out.As computer tomography (CT, ComputedTomography), magnetic resonance imaging (MR, Magnetic Resonance), positron emission tomography (PET, Positron Emission Tomography), digital X-ray imaging (DR, and single photon emission computerized tomography (SPECT, Single-Photon EmissionComputed Tomography) etc. DigitalRadiography).
But, various imaging technique and inspection method have its superiority and shortage, not a kind of imaging technique goes for the diagnosis of inspection to all organs of human body and disease, neither can replace another kind of imaging technique by a kind of imaging technique, complement each other between various imaging technique, mutually supplement.In order to improve rate of correct diagnosis, usually needing at different time points, using above-mentioned multiple medical imaging device to scan patient, so that the various medical image datas that can fully utilize many time points of patient carry out Diagnosis and Treat to patient.
Doctor is carrying out in the process of Diagnosis and Treat to patient, usually the various medical image datas of the many time points to patient are needed to analyze, and then doctor can analyze the evolutionary process of focus (such as tumour) in different time points, operations such as checking the medical image data of different time points, compare is understood in the process analyzed, and then realize the function of focus being carried out to quantitative evaluation, tracking, and finally provide diagnostic comments.
But the various medical image datas of many time points of described patient are normally of a great variety, and between various medical image data, have no association, so cannot clear, fast, compactly for doctor provides the various medical image datas that are mutually related of many time points, this can check the various medical image datas of different time points, compare to doctor, in the process that line correlation of going forward side by side is analyzed, bring much inconvenience, finally cause cannot accurately, carry out the problem of Diagnosis and Treat in time to patient.
Summary of the invention
The present invention solve problem be cannot clear, fast, compactly for doctor provides the various medical image datas that are mutually related of many time points, cannot accurately, convenient to analyze medical image data, and then cause cannot accurately, timely problem of patient being carried out to Diagnosis and Treat.
For solving the problem, technical solution of the present invention provides a kind of analysis and processing method of medical image data, and described method comprises:
Obtain medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, obtain organizing medical image data sets more, wherein, with group medical image data sets, there is identical temporal information;
Described many group medical image data sets are sorted according to time sequencing;
At least two group medical image data sets of the many groups medical image data set after sequence are analyzed, to follow the trail of focus.
Optionally, described medical image data comprises at least one view data in CT view data, PET image data, SPECT view data and MR view data.
Optionally, the described at least two group medical image data sets to the many groups medical image data set after sequence are analyzed, and comprise to carry out tracking to focus:
Obtain the first data set and the second data set, described first data set and the second data set are two groups of medical image data sets that the many groups medical image data set after sequence sorts adjacent;
Image registration is carried out to described first data set and the second data set;
The first data set after registration and the second data set are analyzed, to follow the trail of focus.
Optionally, described first data set and the second data set are carry out scanning the medical image data obtained to same patient.
Optionally, described image registration is carried out for carry out image registration by single mode registration or multimode registration to described first data set and the second data set.
It is optionally, described that to carry out image registration to described first data set and the second data set be carry out image registration based on the half-tone information in CT view data.
Optionally, described the first data set after registration and the second data set to be analyzed based on PET image data analysis.
Optionally, described result of following the trail of focus is for position with qualitative focus.
Optionally, described method of carrying out image registration to described first data set and the second data set comprises at least one method in autoregistration, manual registration and mutual registration.
Optionally, described method also comprises: after following the trail of focus, based on to the tracking result of focus and solid tumor the standard of curative effect evaluation, and assessment focus variation tendency.
Optionally, described solid tumor the standard of curative effect evaluation is PERCIST standard.
Technical solution of the present invention also provides a kind of APU of medical image data, and described device comprises:
Grouped element, is suitable for the temporal information based on medical image data, divides into groups to medical image data, obtains organizing medical image data sets more, wherein, has identical temporal information with group medical image data sets;
Sequencing unit, is suitable for sorting according to time sequencing to described many group medical image data sets;
Analytic unit, at least two group medical image data sets being suitable for the many groups medical image data set after to sequence are analyzed, to follow the trail of focus.
Optionally, described analytic unit comprises:
Acquiring unit, is suitable for acquisition first data set and the second data set, and described first data set and the second data set are two groups of medical image data sets that the many groups medical image data set after sequence is adjacent in time;
Registration unit, is suitable for carrying out image registration to described first data set and the second data set;
Tracing unit, is suitable for the first data set after to registration and the second data set is analyzed, to follow the trail of focus.
Compared with prior art, technical scheme of the present invention has the following advantages:
After acquisition medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, can obtain organizing medical image data sets more, and then can sort according to time sequencing to described many group medical image data sets, at least two group medical image data sets of the many groups medical image data set after sequence are analyzed, to follow the trail of focus.The method effectively can process the medical image data of multiple time point, multiple medical image datas of same time point can be stored in same group of medical image data set, the medical image data of different time points is included into corresponding medical image data set according to the order of time order and function, make can to carry out between numerous and diverse medical image data interrelated, doctor can be clear, fast, obtain the medical image data that is mutually related easily, and then can check many groups medical image data of different time points easily, the operation such as comparison and analysis, finally can accurately follow the trail of focus based on analysis result.
Image registration is carried out to two groups of medical image data sets adjacent in time-sequencing order, and then based on image registration results, focus is followed the trail of, can adjust the positional information of adjacent medical image data set focus accurately, doctor can analyze the situation of change of focus etc. exactly, the more accurate and comprehensive tracking to focus, makes medical diagnosis result more accurate.
Based on the half-tone information in CT view data, image registration is carried out to two groups of medical image data sets adjacent in time-sequencing order, and based on PET image data, the first data set after registration and the second data set are analyzed, because CT view data clearly can reflect the locus of focus, so the image registration of half-tone information based on CT view data, the position of focus can be made accurately to be located; Because PET image data can show the metabolic condition of focus clearly, so accurately can obtain the metabolic condition of focus based on the analysis of PET image data, so in conjunction with above-mentioned CT view data and PET image data, both can accurately carry out qualitative to focus, can accurately locate again.
Contrast to the tracking result of focus and PERCIST standard, analyze, can the variation tendency of accurate evaluation focus, be the data that medical diagnosis provides.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the analysis and processing method of the medical image data that technical solution of the present invention provides;
Fig. 2 is the schematic flow sheet of the analysis and processing method of the medical image data that the embodiment of the present invention one provides;
Fig. 3 is the schematic flow sheet of the analysis and processing method of the medical image data that the embodiment of the present invention two provides;
Fig. 4 is the area schematic of the display interface that the embodiment of the present invention two provides;
Fig. 5 is the time shaft management-plane schematic diagram that the embodiment of the present invention two provides;
Fig. 6 is the schematic flow sheet of the analysis and processing method of the medical image data that the embodiment of the present invention three provides.
Embodiment
In order to solve in prior art, because the various medical image datas of many time points of patient are of a great variety, and between various medical image data, have no association, so cannot clear, fast, compactly for doctor provides the various medical image datas that are mutually related of many time points, the various medical image datas of different time points can be checked, be compared to doctor, in the process that line correlation of going forward side by side is analyzed, bring much inconvenience, and cause cannot accurately, carry out the problem of Diagnosis and Treat in time to patient.Technical solution of the present invention provides a kind of analysis and processing method of medical image data.
Fig. 1 is the schematic flow sheet of the analysis and processing method of the medical image data that technical solution of the present invention provides, as shown in Figure 1, first step S101 is performed, obtain medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, obtain organizing medical image data sets more, wherein, with group medical image data sets, there is identical temporal information.
In prior art, existing various medical imaging device, in the process that patient is diagnosed, usually, in order to improve rate of correct diagnosis, to patient at different time points, described medical imaging device can be used to carry out scanning imagery to patient, at least one medical image data in the multiple medical image datas such as corresponding CT view data, PET image data, SPECT view data and MRI view data after scanning, can be obtained.Described medical image data can be the medical image data corresponding to same focus of patient, also can be the medical image data corresponding to different focus.
In the technical program, first the medical image data of the various modes that patient is scanned in different time points is obtained, such as CT view data and PET image data etc., then divide into groups to described medical image data according to the temporal information of medical image data scanning.For example, the medical image data scanned within a time range can be divided into a set accordingly, such as, all medical image datas that March is scanned are put into a group, and all medical image datas scanned the June put into another one group, the like, can divide into groups accordingly to the medical image data of many time points of patient.
Perform step S102, described many group medical image data sets are sorted according to time sequencing.
In order to realize effectively processing the medical image data of the many time points of patient, in this step the many groups medical data collection obtained in step S101 is sorted in chronological order, after sequence, just can be classified as the management of each time point on simple time shaft for the management of the medical image data of complexity.
Perform step S103, at least two group medical image data sets of the many groups medical image data set after sequence are analyzed, to follow the trail of focus.
In the process that focus is followed the trail of, can analyze two groups of the many groups medical image data set after sequence or many group medical image data sets.
Before analysis, image registration techniques can be adopted to carry out registration to the image data set of different time points, such as, first the first data set and the second data set can be obtained, described first data set and the second data set are two groups of medical image data sets that the many groups medical image data set after sequence sorts adjacent, then by single mode registration or multimode registration, image registration is carried out to described first data set and the second data set, at least one method in autoregistration, manual registration and mutual registration can be adopted in the process of registration.
Because the view data of usual different time points is concentrated all containing CT view data, PET image data etc., so image registration can be carried out based on the half-tone information in CT view data to described first data set and the second data set, and based on PET image data, the first data set after registration and the second data set are analyzed.
Based on registration result, focus is analyzed, the tracking to focus can be realized, can realize the location of focus and qualitative.After focus is followed the trail of, based on to the tracking result of focus and solid tumor the standard of curative effect evaluation, assessment focus variation tendency, such as, can compare to the tracking result of focus and PERCIST standard accordingly, analyze, and then focus is diagnosed accurately.
For enabling above-mentioned purpose of the present invention, feature and advantage more become apparent, and are described in detail specific embodiments of the invention below in conjunction with accompanying drawing.
Embodiment one
In the present embodiment, with in the many groups medical image data group after according to time sequence, the two groups of medical image data sets sorting adjacent are that example is described.
Fig. 2 is the schematic flow sheet of the analysis and processing method of the medical image data that the present embodiment provides, as shown in Figure 2, first step S201 is performed, obtain medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, obtains organizing medical image data sets more.Please refer to step S101.
Step S202, sorts according to time sequencing to described many group medical image data sets.Please refer to step S102.
Step S203, obtains two groups of medical image data sets that sequence is adjacent.
Based on the many groups of medical image data sets sorted in chronological order that step S202 obtains, choose two groups of wherein adjacent on time-sequencing medical image data sets.For example, if step S202 obtains certain patient January, April, the medical image data sets in July and October, then this can this patient obtain April and July two groups of medical image data sets, also two groups of medical image data sets etc. in this patient's July and October can be obtained, in the present embodiment, two groups of medical image data sets adjacent on time-sequencing can be called the first data set and the second data set, such as when obtaining April and two groups of medical image data sets in July, the medical image data sets in April can be called the first data set, the medical image data sets in July is called the second data set.
Step S204, carries out image registration based on the half-tone information in CT view data to described two groups of adjacent medical image data sets.
Usually the principle due to imaging is different with equipment, there is multiple imaging pattern, based on many reasons, needs the repeatedly imaging same patient being carried out to various modes or same mode clinically, namely obtains information from a few width image simultaneously, comprehensively analyzes.In clinical diagnosis, radiotherapy treatment planning and image-guided surgery, often require that patient accepts the Computed tomography of various modes, to provide the complementary information of pathology and dissection aspect, but due to the position disparity of patient when imaging, and the resolution of different images, contrast is isoparametric arranges difference, doctor is difficult to only be alignd accurately by multiple image with the imagination.
Image registration is exactly by finding certain spatial alternation handle from different imaging pattern, the medical image data of different time etc. carries out geometric transformation, be mapped in other medical image data, what to make in different medical view data relevant tissue or organ reach spatially is consistent, like this, the information comprised in different medical view data is also just mapped mutually, thus the complementation of useful information between the medical image data obtained under being conducive to different imaging pattern, the additional information that the generation medical image data that independently a kind of imaging pattern obtains can not display, improve lower of multiple imaging pattern to the booster action of multiple medical image data in clinical Diagnosis and Treat.
In the present embodiment, be all described containing the CT view data scanned the same focus of patient and PET image data instance with described two groups of adjacent medical image data set.
Registration can be carried out to obtain in step S203 two groups of medical image datas, such as, based on half-tone information registration method, transform domain registration method and feature based registration method etc. based on the multiple method for registering images of prior art.
Because CT view data clearly can obtain the locus of focus, so in the present embodiment can based on the half-tone information in CT view data, adopt half-tone information registration method to carry out registration to medical image data, the CT view data namely based on described two groups of adjacent medical image data set carries out image registration.
In the present embodiment, in the process of image registration, any one method in autoregistration, manual registration and mutual registration can be adopted, also can carry out registration in conjunction with described several method for registering, for example, autoegistration method can be adopted first to carry out image registration, manual registration can be again carried out to image afterwards according to relevant informations such as the experiences of user, or also in the process of image registration, the method for mutual registration can be adopted to carry out image registration, do not limit at this.
Step S205, analyzes the two groups of adjacent medical image data sets after registration based on PET image data.
Because PET image data can clearly show focus metabolic condition, so can analyze the two groups of adjacent medical image datas after registration based on the PET image data in described two groups of adjacent medical image datas in the present embodiment, the metabolic condition of the focus of two groups of consistent medical image datas of registration rear space information can be obtained based on the PET image data in two groups of medical image datas, and then can analyze focus, in the process analyzed, user can check the medical image data of different time points, the operation such as compare.
Step S206, based on analysis result, follows the trail of focus.
Based in step S205 to the result that focus is analyzed, doctor can obtain the evolutionary process of focus in different time points, so realize quantitative evaluation is carried out to focus, position with qualitative, realize the tracking to focus.
It should be noted that; in the present embodiment; what image registration adopted is the method for registering images of single mode; namely the CT image of two groups of image data centralizations is adopted to carry out image registration; in other embodiments; also can adopt bimodulus or multimode image registering method, after the medical image data that different imaging pattern can be made to scan by the method for the image registration of described bimodulus or multimode carries out certain conversion, the basically identical of spatial information can be reached.
In the present embodiment, based on the half-tone information in CT view data, image registration is carried out to two groups of medical image data sets adjacent in time-sequencing order, and based on PET image data, group medical image data of two after registration is analyzed, because CT view data clearly can reflect the locus of focus, so the image registration of half-tone information based on CT view data, the position of focus can be made accurately to be located, and then the metabolic condition of focus can be shown clearly due to PET image data, so accurately can obtain the metabolic condition of focus based on the analysis of PET image data, so in conjunction with above-mentioned CT view data and PET image data, both can accurately carry out qualitative to focus, can accurately locate again.
Embodiment two
In the present embodiment, a kind of analysis and processing method of the medical image data based on time shaft is provided, the medical image data that can will scan under different time points and different medical imaging pattern, represented accordingly by nodes different on time shaft, and then by operating accordingly nodes different on time shaft, realize tracking to focus, compare to the tracking result of focus and PERCIST standard accordingly, analyze, realize the diagnosis accurately to focus.
Fig. 3 is the schematic flow sheet of the analysis and processing method of the medical image data that the present embodiment provides, as shown in Figure 3, first step S301 is performed, obtain medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, obtains organizing medical image data sets more.
Step S301 please refer to step S101.
Perform step S302, described many group medical image data sets are sorted according to time sequencing.
Step S302 please refer to step S102.
Perform step S303, draw time shaft, described many group medical image data sets are patterned into the node on time shaft.
Can multiple pattern drawing method be passed through, draw time shaft, according to the time sequencing of described many group medical image data sets, draw node accordingly on a timeline.
Perform step S304, to each node definition functional attributes of time shaft.
For the node definition corresponding function attribute on each time shaft, such as each node, can associate with the medical image data sets corresponding to this node time information with this node, for example, if time shaft has April and July two nodes, then when user chooses one of them node by modes such as mouse, keyboard, touch screens, when such as choosing this node in April, then the medical image data sets corresponding to April is associated with this node.
Perform step S305, each node of time shaft is operated.
User, by choosing node, can realize associating of node and medical image data sets, and then can operate each node of time shaft, to realize the operation to the medical image data sets associated by each node.
In the specific implementation, time shaft management-plane can be shown at display interface, and corresponding image display area, to realize the operation to each node of time shaft.
Fig. 4 is the area schematic of the display interface that the embodiment of the present invention provides, as shown in Figure 4, at region 1 displaying time axle management-plane, at region 2 Presentation Function button, the image that user shows after the time shaft management-plane in manipulation region 1 can be shown in the image display area in region 3.
Time shaft management-plane in region 1 as shown in Figure 5, node 1, node 2, node 3 and node 4 in chronological order (direction of arrow as shown in the figure) are presented on the corresponding position of time shaft, and below each node, show the sweep time of the medical image data associated by this node, time 1 as shown in the figure, time 2, time 3 and time 4.Also exist in adjacent node and transmit button, transmission button 12 as shown in Figure 5, transmission button 23 and transmission button 34, the transmission of lesion information in the node that the major control of each transmission button is adjacent, described lesion information comprises the spatial positional information etc. of focus, such as, transmit the transmission that button 12 controls the lesion information between adjacent node 1 and node 2.Registration button and comparative analysis button is also there is in adjacent node, registration button 12, registration button 23 and registration button 34 as shown in Figure 5, and comparative analysis button 12, comparative analysis button 23 and comparative analysis button 34, for example, registration button 12 is for realizing the image registration between node 1 and node 2, and comparative analysis button 12 is for realizing the operation such as contrast, analysis between node 1 and node 2.
When nodal operation each to time shaft, user first can choose the node of needs operation, when user only chooses a node time, then can show in region 3 as shown in Figure 4 and singly check display page, user can check that display page carries out the operations such as editor to focus by the list shown by described region 3; When user chooses two adjacent nodes, such as have chosen node 1 as shown in Figure 5 and node 2, then user can choose the registration button 12 shown in Fig. 5, region 3 shown in Fig. 4 shows registration display page, and user can carry out image registration to the view data that the view data associated by adjacent node is concentrated by the registration page shown by described region 3; Can the transmission button 12 shown in Fig. 5 be passed through afterwards, after image registration, the lesion information between node 1 and node 2 be transmitted; Corresponding comparative analysis button can be chosen afterwards, such as can choose comparative analysis button 12, region 3 shown in Fig. 4 shows adjacent inspection display page, adjacent medical image data after registration is presented at described adjacent inspection display page, facilitates user to compare, the operation such as analysis.
In addition, function button in display interface shown by region 2 can comprise amplification, reduce and the function button such as mobile, can user singly checking that display page, the registration page or adjacent inspection display page carry out browsing, compare, in the operating process analyzed, assisted user operates accordingly to current shown image.
Based at adjacent inspection display page to the comparison of medical image data of association, analysis result, doctor can obtain the evolutionary process of focus in different time points, and then realizes carrying out quantitative evaluation to focus, realizes the tracking to focus.
Perform step S306, the tracking result of focus and PERCIST standard are compared accordingly, analyze.
After following the trail of focus, can compare based on to the tracking result of focus and solid tumor the standard of curative effect evaluation PERCIST accordingly, analyze, assessment focus variation tendency, diagnoses accurately to focus.
Embodiment three
In the present embodiment, adopt the analysis and processing method of the medical image data based on time shaft, adopt the display interface as shown in Figure 4 shown by embodiment two, time shaft administrative template as shown in Figure 5.Adjacent node is being carried out in the process of image registration, the method adopting autoregistration and manual registration to combine carries out image registration, after focus is followed the trail of, compare to the tracking result of focus and PERCIST standard accordingly, analyze, and then focus is diagnosed accurately.
Fig. 6 is the schematic flow sheet of the analysis and processing method of the medical image data that the present embodiment provides, as shown in Figure 6, first step S601 is performed, obtain medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, obtains organizing medical image data sets more.
Perform step S602, described many group medical image data sets are sorted according to time sequencing.
Perform step S603, draw time shaft, described many group medical image data sets are patterned into the node on time shaft.
Many groups that obtain in step S601 and 602 are associated according to each node that the medical image data sets of time sequencing sequence is corresponding with on time shaft.
Perform step S604, to each node definition functional attributes of time shaft.
Step S601 to step S604 please refer to embodiment two step S301 to step S304.
After step S604, user by time shaft administrative template as shown in Figure 5, can operate each node on time shaft accordingly.
When user chooses adjacent node, carry out, in the process of image registration, can step S605 being performed, adopt the method for autoregistration to carry out image registration to adjacent node.
After step S605, perform step S606, whether satisfiedly to the result of image registration determined by user, namely judge whether to accept registration result in step S606.If so, then perform step S608, otherwise perform step S607.
Step S607, adopts the method for manual registration to carry out image registration.
In step S607, user can according to the experience etc. of oneself, adopt the method for manual registration, in the result of autoregistration, again suitable adjustment is carried out to the spatial positional information etc. of focus, to reach user's acceptable scope, return afterwards and perform step S606, until user is satisfied to the result of image registration, after satisfied, step S608 can be performed.
Step S608, carries out the transmission of lesion information between adjacent node.
After registration is carried out to adjacent node, by carrying out the transmission of lesion information between adjacent node, can perform step S609 afterwards.
Step S609, analyzes adjacent internodal medical image data, based on analysis result, follows the trail of focus.
The method described by embodiment one step S205 can be adopted to analyze adjacent internodal medical image data, and based on analysis result, doctor can obtain the evolutionary process of focus in different time points, and then realizes the tracking to focus.
Step S610, compares to the tracking result of focus and PERCIST standard accordingly, analyzes.
After following the trail of focus, can compare based on to the tracking result of focus and solid tumor the standard of curative effect evaluation PERCIST accordingly, analyze, assessment focus variation tendency, diagnoses accurately to focus.In this step, if user is unsatisfied with for the assessment result obtained based on PERCIST, also oneself can formulate corresponding solid tumor the standard of curative effect evaluation, carry out corresponding appraisement and diagnosis according to self-defining solid tumor the standard of curative effect evaluation, until user is satisfied to the assessment result obtained.
In the present embodiment, step S605 to step S610 can be understood as is describe the concrete refinement of the one of the operation of each node of time shaft, in other embodiments, also can specifically describe accordingly based on the associative operation of the carrying out to each node of time shaft, not limit at this.
Technical solution of the present invention also provides a kind of APU of medical image data, and described device comprises grouped element, sequencing unit and analytic unit.
Described grouped element, is suitable for the temporal information based on medical image data, divides into groups to medical image data, obtains organizing medical image data sets more; Described sequencing unit, is suitable for sorting according to time sequencing to obtaining many group medical image data sets in described grouped element; Described analytic unit, at least two group medical image data sets being suitable for the many groups medical image data set after to the sequence obtained in sequencing unit are analyzed, to follow the trail of focus.
Described analytic unit also comprises acquiring unit, registration unit and tracing unit.
Described acquiring unit, is suitable for acquisition first data set and the second data set, and described first data set and the second data set are two groups of medical image data sets that the many groups medical image data set after sequence is adjacent in time; Described registration unit, is suitable for the first data set of obtaining acquiring unit and the second data set carries out image registration; Described tracing unit, is suitable for the first data set after to registration unit registration and the second data set is analyzed, to follow the trail of focus.
Although the present invention discloses as above, the present invention is not defined in this.Any those skilled in the art, without departing from the spirit and scope of the present invention, all can make various changes or modifications, and therefore protection scope of the present invention should be as the criterion with claim limited range.
Claims (13)
1. an analysis and processing method for medical image data, is characterized in that, comprising:
Obtain medical image data, based on the temporal information of described medical image data, medical image data is divided into groups, obtain organizing medical image data sets more, wherein, with group medical image data sets, there is identical temporal information;
Described many group medical image data sets are sorted according to time sequencing;
At least two group medical image data sets of the many groups medical image data set after sequence are analyzed, to follow the trail of focus.
2. the analysis and processing method of medical image data as claimed in claim 1, it is characterized in that, described medical image data comprises at least one view data in CT view data, PET image data, SPECT view data and MR view data.
3. the analysis and processing method of medical image data as claimed in claim 1, is characterized in that, the described at least two group medical image data sets to the many groups medical image data set after sequence are analyzed, and comprise to carry out tracking to focus:
Obtain the first data set and the second data set, described first data set and the second data set are two groups of medical image data sets that the many groups medical image data set after sequence sorts adjacent;
Image registration is carried out to described first data set and the second data set;
The first data set after registration and the second data set are analyzed, to follow the trail of focus.
4. the analysis and processing method of medical image data as claimed in claim 3, is characterized in that, described first data set and the second data set are carry out scanning the medical image data obtained to same patient.
5. the analysis and processing method of medical image data as claimed in claim 3, is characterized in that, describedly carries out image registration for carry out image registration by single mode registration or multimode registration to described first data set and the second data set.
6. the analysis and processing method of medical image data as claimed in claim 3, is characterized in that, described to carry out image registration to described first data set and the second data set be carry out image registration based on the half-tone information in CT view data.
7. the analysis and processing method of medical image data as claimed in claim 3, is characterized in that, describedly analyzes based on PET image data analysis the first data set after registration and the second data set.
8. the analysis and processing method of medical image data as claimed in claim 1, it is characterized in that, described result of following the trail of focus is for position with qualitative focus.
9. the analysis and processing method of medical image data as claimed in claim 3, is characterized in that, described method of carrying out image registration to described first data set and the second data set comprises at least one method in autoregistration, manual registration and mutual registration.
10. the analysis and processing method of medical image data as claimed in claim 1, is characterized in that, also comprise: after following the trail of focus, based on to the tracking result of focus and solid tumor the standard of curative effect evaluation, and assessment focus variation tendency.
The analysis and processing method of 11. medical image datas as claimed in claim 10, it is characterized in that, described solid tumor the standard of curative effect evaluation is PERCIST standard.
The APU of 12. 1 kinds of medical image datas, is characterized in that, comprising:
Grouped element, is suitable for the temporal information based on medical image data, divides into groups to medical image data, obtains organizing medical image data sets more, wherein, has identical temporal information with group medical image data sets;
Sequencing unit, is suitable for sorting according to time sequencing to described many group medical image data sets;
Analytic unit, at least two group medical image data sets being suitable for the many groups medical image data set after to sequence are analyzed, to follow the trail of focus.
The APU of 13. medical image datas as claimed in claim 12, it is characterized in that, described analytic unit comprises:
Acquiring unit, is suitable for acquisition first data set and the second data set, and described first data set and the second data set are two groups of medical image data sets that the many groups medical image data set after sequence is adjacent in time;
Registration unit, is suitable for carrying out image registration to described first data set and the second data set;
Tracing unit, is suitable for the first data set after to registration and the second data set is analyzed, to follow the trail of focus.
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