CN104615915A - Computer auxiliary image quality analysis control method and system for medical radiation images - Google Patents
Computer auxiliary image quality analysis control method and system for medical radiation images Download PDFInfo
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Abstract
The invention discloses a computer auxiliary image quality analysis control method for medical radiation images. The method includes the steps of constructing an image analysis standard, analyzing the images, grading the images and giving operation suggestions. The invention further discloses a computer auxiliary image quality analysis control system for the medical radiation images. The system comprises an image analysis standard module, an image analysis module, an image grading module and an operation suggesting module. Based on the method, image quality analysis control is performed, in this way, subject intervening of a user is reduced to the maximum degree, it is avoided that knowledge and experience of the user affect the result of quality analysis control, and execution time consumption is greatly lowered.
Description
Technical field
The present invention relates to medical Medical Imaging, relate to a kind of area of computer aided image quality analysis control method for medical radiation image and system specifically.
Background technology
Present stage, the application of medical radiation image on medical diagnosis is more and more extensive.Due in the process of application medical radiation image, the medical radiation image only having the quality of image to reach certain standard could be used for diagnosing by doctor as effective image, the image that quality does not reach certain standard can cause diagnosis inaccurate, needs again to obtain new medical radiation image.Therefore medical personnel needs the medical applications demand concrete according to it to carry out image quality analysis control to it after getting medical radiation image, analyzes its quality and whether reaches corresponding application standard.
Due to the singularity of medical radiation image in application demand, currently mainly by artificial mode, image quality analysis control is carried out thus the quality of inspection and evaluation image to medical radiation image by medical personnel.Thus execution efficiency is not high for this implementation length consuming time based on artificial quality analysis control mode.Simultaneously, the knowledge of the image quality analysis control method heavy dependence analyst self of existing medical radiation image and experience, not a set of strict analysis and Control standard, this just causes analysis and Control result to there is larger uncertainty, and accuracy is not high.
Therefore, in order to the problem that the inefficiency and accuracy that solve the image quality analysis control method existence of existing medical radiation image are not high, need a kind of image quality analysis control method for medical radiation image newly to improve efficiency and the accuracy of the image quality analysis control of medical radiation image.
Summary of the invention
The inefficiency existed for the image quality analysis control method of existing medical radiation image and the not high problem of accuracy, the invention provides a kind of area of computer aided image quality analysis control method for medical radiation image, described method comprises following steps:
Build image analysing computer standard step, define effective image feature of described medical radiation image based on the medical applications demand of medical radiation image and the source type of described medical radiation image and build corresponding image analysing computer standard for each described effective image feature;
Analyze image step, based on described image analysing computer standard, automatic analysis is carried out thus acquisition image analysing computer result to described medical radiation image to be analyzed;
Image classification step, formulates grade scale according to described medical applications demand, carries out automatic classification thus acquisition classification results based on described grade scale according to described image analysing computer result to medical radiation image to be analyzed;
Suggestion for operation step, according to described image analysing computer result automatic acquisition and export corresponding described medical radiation image to be analyzed operations improvement suggestion.
In one embodiment, described method also comprises sample data model repository construction step, utilizes medical imaging historical record to build medical imaging sample data model repository based on described effective image feature and described image analysing computer standard.
In one embodiment, described method also comprises image Effective judgement step, the validity of described medical radiation image to be analyzed is judged based on described image analysing computer result, wherein, when described medical radiation image to be analyzed meets the application-specific demand relevant to diagnosis, described medical radiation image to be analyzed is effective.
In one embodiment, described method also comprises alarming step, reports to the police to operating personnel when described medical radiation image to be analyzed is invalid, reminds operating personnel again to make new medical radiation image.
In one embodiment, described method also comprises aggregation step, described image analysing computer result, described classification results and described operations improvement suggestion are gathered, the described dimension gathered comprises time, operating personnel, equipment, position, type of error, described in the scope that the gathers data that comprise current acquisition and the historical data that obtains before.
In one embodiment, described effective image feature comprises position feature, image density feature, histoorgan level characteristics and technical operation feature.
The invention allows for a kind of area of computer aided image quality analysis control system for medical radiation image, described system comprises:
Image analysing computer standard module, it is for building the image analysing computer standard for evaluation analysis medical radiation image;
Image analysing computer module, it is connected with described image analysing computer standard module, for analyzing based on described image analysing computer standard described medical radiation image to be analyzed thus obtain image analysing computer result and export;
Image diversity module, it is connected with described image analysing computer module, for carrying out classification according to described image analysing computer result to described medical radiation image to be analyzed thus obtaining classification results and export;
Suggestion for operation module, it is connected with described image analysing computer module, for exporting corresponding operations improvement suggestion according to described image analysing computer result.
In one embodiment, described system also includes validity judge module, described Effective judgement module is connected with described image analysing computer module, for medical radiation image to be analyzed according to described image analysing computer interpretation of result validity and export efficiency analysis result;
In one embodiment, described system also comprises alarm module, and described alarm module is connected with described Effective judgement module, its be formed at described medical radiation image to be analyzed invalid time output alarm information thus remind operating personnel again take.
In one embodiment, described system also comprises summarizing module, described summarizing module is connected with described image analysing computer module, described image diversity module and described suggestion for operation module, arranges for gathering and preserves described image analysing computer result, described classification results and described operations improvement suggestion.
Compared with prior art, tool of the present invention has the following advantages:
System of the present invention adopts area of computer aided to carry out image quality analysis control to medical radiation image, consumes when greatly reducing execution, thus improves the execution efficiency of image quality analysis control;
Unified analytical standard is adopted to carry out image quality analysis control to medical radiation image based on method of the present invention, decrease the Subjective Intervention of user to greatest extent, avoid user's its knowledge and experience control result impact on quality analysis to greatest extent, substantially reduce the uncertainty that quality analysis controls result, improve the accuracy that quality analysis controls result.
Further feature of the present invention or advantage will be set forth in the following description.Further, Partial Feature of the present invention or advantage will be become apparent by instructions, or be understood by implementing the present invention.Object of the present invention and certain advantages realize by step specifically noted in instructions, claims and accompanying drawing or obtain.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, with embodiments of the invention jointly for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is flowchart according to an embodiment of the invention;
Fig. 2 is part medical radiation image according to an embodiment of the invention;
Fig. 3 is system architecture diagram according to an embodiment of the invention.
Embodiment
Embodiments of the present invention are described in detail below with reference to drawings and Examples, enforcement personnel of the present invention whereby can fully understand how application technology means solve technical matters in the present invention, and reach the implementation procedure of technique effect and specifically implement the present invention according to above-mentioned implementation procedure.It should be noted that, only otherwise form conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, and the technical scheme formed is all within protection scope of the present invention.
Because present stage is mainly analyzed thus the quality of inspection and evaluation image medical radiation image by artificial mode by medical personnel, and then realize the quality control of medical radiation image.Thus execution efficiency is not high for this implementation length consuming time based on artificial quality analysis control mode.In order to solve the problem, the present invention proposes one and utilizing computer assisted image quality analysis control method.Computer based is auxiliary carries out image quality analysis control to medical radiation image automatically, thus greatly improves the execution efficiency of image quality analysis control.
Next describe the concrete implementation of method of the present invention in detail based on accompanying drawing, the step shown in the process flow diagram of accompanying drawing can perform in the computer system comprising such as one group of computer executable instructions.Although show the logical order of each step in flow charts, in some cases, can be different from the step shown or described by order execution herein.
The knowledge of the image quality analysis control method heavy dependence analyst self of existing medical radiation image and experience, not a set of strict analysis and Control standard.Because the knowledge of different analyst self and experience are different, the subjective judgement analysis carried out based on self knowledge and experience result in and may show that different quality analyses controls result for the analyst that same image is different, therefore the final image quality analysis of present stage controls the larger uncertainty of result existence, and accuracy is not high.
In order to solve the problem, first image quality analysis control method of the present invention constructs the concrete medical radiation image analysing computer standard of a set of unification.Image quality analysis control is carried out based on unified concrete medical radiation image analysing computer standard, decrease the Subjective Intervention of user to greatest extent, avoid user's its knowledge and experience control result impact on quality analysis to greatest extent, substantially reduce the uncertainty that quality analysis controls result, improve the accuracy that quality analysis controls result.
In order to obtain the image analysing computer standard of unified quantization, and ensure the correctly objective of analytical standard, the present invention has taken into full account that in the process building medical radiation image analysing computer standard the application demand of medical radiation image and source type are on the impact of medical radiation image analysing computer result.The present invention is directed to the embody rule demand of medical radiation image and source type to build medical radiation image analysing computer standard, thus obtain relatively uniform, careful, correct image analysing computer standard.
The first step of creation analysis standard is step 110, defines effective image feature, concludes and extract and the diagnostic requirements of medical radiation image and relevant image feature of originating from medical irradiation image data.Current radio section modality mainly comprises X-ray machine, x-ray computer tomography equipment (computedtomography, be called for short CT), magnetic resonance imaging device (nuclear magnetic resonance imaging, be called for short MRI).Next be that the radiographic of X-ray machine is illustrated for object and described the implementation process of the present embodiment with source type.
In the present embodiment, be the radiographic of X-ray machine for source type, can determine that its diagnostic requirements is for can differentiate lung field and vertical diaphragm by analyzing, lung field and the wall of the chest, the level of lung field and shoulder soft tissue, lung marking is high-visible.
Therefore the last effective image feature extracting relevant radiographic of concluding comprises:
(1) position feature
Position feature comprises the position of soft tissue on chest, outer border of rib, two side rib diaphragm angles, apex pulmonis, shoulder blade should with the position relationship of lung field, the position relationship of both sides clavicle.
(2) histoorgan level characteristics
Histoorgan level characteristics comprises the level of lung field, vertical diaphragm, the wall of the chest and soft tissue, the level of 1st ~ 4 thoracic vertebraes and podiod posterior rib.
(3) image density feature
Image density feature comprises basic Fog density, the density of diagnostic region and Kong Baoshe district density.
(4) technical operation feature
Technical operation feature comprises typeface number feature, external artifact feature and dark room operation feature; Further, dark room operation feature comprises dirty sheet, cut, bonding die, water mark, fingerprint, light leak, electrostatic shade etc.
After step silo, namely the system of the present embodiment performs step S121, builds image analysing computer standard, sets up corresponding image analysing computer standard for each effective image feature.Namely based on the diagnostic requirements of medical radiation image and the source type of medical radiation image, the image analysing computer standard that effective image feature is corresponding is built.Image analysing computer standard is for analyzing validity and the quality of specific image feature in medical radiation image.
Continuation radiographic is example, and diagnostic requirements is for can differentiate lung field and vertical diaphragm, and lung field and the wall of the chest, the level of lung field and shoulder soft tissue, lung marking is high-visible.In the present embodiment, the medical radiation image of diagnostic requirements can be met as the sample formulating image analysing computer standard.Finally can obtain following image analysing computer standard in step S121.
Image analysing computer standard for position feature is:
(1) chest is projected on center, film both sides, should comprise soft tissue on both sides outer border of rib, two side rib diaphragm angles, apex pulmonis;
(2) shoulder blade should be thrown according to outside lung field, both sides clavicle Parallel Symmetric:
(3) shoulder soft tissue shadow stays 3 ~ 5 centimetres;
(4) throw according to the undistorted distortion of image.
Image analysing computer standard for histoorgan level characteristics is:
(1) level of clear resolution lung field, vertical diaphragm, the wall of the chest and soft tissue;
(2) 1st ~ 4 thoracic vertebraes and podiod posterior rib indistinctly show;
Image analysing computer standard for image density feature is:
(1) basic Fog density value: D≤0.25;
(2) density value of diagnostic region: D=0.25 ~ 2.0;
(3) Kong Baoshe district density value: D>2.4.
Image analysing computer standard for technical operation feature is:
(1) typeface number proper alignment about 2 centimeters on right shoulder soft tissue, can not be overlapping with tested shade of organizing;
(2) typeface number front display, sequence puts in order as follows from left to right:
The first row: date, the right side, inspection number, hospital name, technician's code name;
Second row: patient's name (hand-written or other labeling methods);
(3) without external artifact;
(4) dark room operation is without dirty sheet, cut, bonding die, water mark, fingerprint, light leak, electrostatic shade.
Be understood that, above-mentioned effective image feature and corresponding image analysing computer standard are just for normotopia of chest image, in practical operation, in step S110 and S121, the medical radiation image for separate sources type and diagnostic requirements carries out the structure of the conclusion extraction of effective image feature and the image analysing computer standard of correspondence.
In the present embodiment, the source type of medical radiation image conventional in applying for current medical and diagnostic requirements build and can cover effective image feature of the image quality analysis of common medical radiation image and the image analysing computer standard of correspondence.And build image analysing computer standard database based on the image analysing computer standard of above-mentioned effective image feature and correspondence.
Next just image quality analysis can be carried out based on the effective image feature in image analysing computer standard database and image analysing computer standard to medical radiation image.The method whether the present embodiment mainly adopts comparative analysis standard consistent with the actual conditions of image to be analyzed, to judge whether image to be analyzed meets medical demand, obtains the quality analysis results of image.Therefore before analysis image, the analytical standard corresponding to image to be analyzed will first be obtained and the image corresponding to analytical standard describes.
First obtain image (S103) and obtain its source type (S101) and corresponding diagnostic requirements (S102).Then utilize image analysing computer standard database to perform step S130 and S132, first obtain effective image feature of medical radiation image to be analyzed, then obtain the image analysing computer standard corresponding to effective image feature of medical radiation image to be analyzed.Continue to perform step S131 after execution step S130, obtain the feature interpretation of effective image feature of medical radiation image to be analyzed.
For the ease of carrying out image quality analysis and the further correctness improving image quality analysis net result, also construct sample data model repository in the present embodiment.Sample data model repository is mainly used in Computer Aided Analysis System and extracts corresponding feature interpretation in medical radiation image to be analyzed.Sample data model repository carries out on the basis manually with based on automatic analysis of the present invention to a large amount of medical imagings, the data model set obtained after secondary processing.Sample data model repository can constantly add more sample data thus upgrade perfect in the later stage uses.Or illustrate with radiographic image, save the basic raw data of normotopia of chest image in warehouse, and key feature information in image is described, as position feature interpretation and level characteristics describe, record its validity and quality scale simultaneously, and corresponding detailed information further.
Be a certain concrete radiographic for medical radiation image to be analyzed.Figure 2 shows that a certain source type is a part for the radiographic of X-ray machine.As shown in Figure 2, the image that shows of position 201-215 place respectively the apex pulmonis (201) of corresponding human body, shoulder blade (202), right lung door (203), right heart edge (204), cardio-diaphragmatic angle (205), every face (206), rib diaphragm (207), the first rib (208), left clavicle (209), tracheae (210), the arch of aorta (211), descending aorta (212), Zuo Xinyuan (213), mammary gland (214) and magenblase (215).
Example is characterized as with the position feature of image in Fig. 2 and technical operation.Here it should be noted that, a part (not comprising usual radiographic font record) for the radiographic of the X-ray machine due to the image in Fig. 2 being, a part effective image feature of description only for radiographic of therefore following image quality analysis control operation is described (quality analysis that wouldn't relate to font recording section controls).
First the feature interpretation of the position feature of image in Fig. 2 is obtained.
(1) position data of chest is obtained.Image recognition technology is utilized to mark the outboard wheel profile of Fig. 2 image upper breast, using the position of outline line as the position data of chest;
(2) position data of soft tissue on both sides outer border of rib, two side rib diaphragm angles, apex pulmonis is obtained.Utilize the first rib 208 on image recognition technology identification Fig. 2 image and other ribs, every face 206 and rib diaphragm 207, apex pulmonis 201 and offside apex pulmonis position thus obtain the position data of soft tissue on both sides outer border of rib, two side rib diaphragm angles, apex pulmonis.
(3) position relationship of shoulder blade and lung field.Because lung field is show as the comparatively transparent region of uniformity on rabat, therefore utilize image recognition technology identification Fig. 2 image marks off and show as the comparatively transparent region of uniformity and identify the shoulder blade of shoulder blade 202 and offside thus obtain the position relationship of shoulder blade and lung field.
(4) position of both sides clavicle.According to the roughly physiological location scope of clavicle, shape, the characteristic informations such as colour brightness carry out geometric manipulations and image recognition to the view data of Fig. 2, and the existing normotopia of chest sample data calling sample data model repository compares, finally identify the left clavicle 209 in image and offside clavicle, and record its position.
Then the feature interpretation of the technical operation feature of image in Fig. 2 is obtained.For without external artifact.In the present embodiment, carry out reduction to whole image and strengthen, if there is artifact, then this part luma can strengthen, and can obtain different outline lines, thus judge whether have artifact when at this moment carrying out contour identification again.In discriminance analysis Fig. 2, the feature interpretation of the technical operation feature of image is without external artifact.
Following execution step S133, contrast characteristic describes and image analysing computer standard obtain image analysing computer result based on comparing result.Based on above-mentioned feature interpretation (chest hits exactly in whole image both sides, both sides clavicle Parallel Symmetric, without external artifact etc.), contrast characteristic describes and corresponding image analysing computer standard then can judge that above-mentioned feature interpretation meets corresponding image analysing computer standard.
One of final purpose of the present invention judges that can medical radiation image be applied to medical diagnosis, and therefore the method for the present embodiment also comprises step S140, image Effective judgement step.The image analysing computer result got based on step S133 judges whether normotopia of chest image meets the minimum requirements of diagnosis.If met, then medical radiation image is effective.If medical radiation image is invalid, then perform step S141, alarming step, sends false alarm to operating personnel, reminds operating personnel again to make relevant medical radiation image.
For the medical radiation image to be analyzed of Fig. 2, because the feature interpretation of the minimum requirements of its corresponding diagnosis is consistent with corresponding image analysing computer standard, then can judge that it meets the minimum requirements of diagnosis, be effective medical radiation image.
In the present embodiment, mainly whether contrast characteristic's description is consistent with corresponding image analysing computer standard in image analysing computer, because medical radiation image comprises multiple effective image feature, therefore the set (the corresponding effective image feature of each analysis result, describes this effective image feature whether consistent with corresponding image analysing computer standard) that image analysing computer result is also numerous analysis result is finally obtained.Medical worker can obtain the concrete quality description of medical radiation image to be analyzed according to above-mentioned analysis result.In order to reduce the workload of medical worker further, raising the efficiency, invention introduces image classification step.
In image classification step, analytic system carries out specific and comprehensive secondary analysis to above-mentioned analysis result.First perform step S122, build image grade scale, build image grade scale based on the diagnostic requirements of medical radiation image and the source type of medical radiation image, image grade scale is for analyzing the quality scale of medical radiation image to be analyzed.
With the normotopia of chest image citing in the present embodiment, the image analysing computer standard corresponding based on normotopia of chest image and diagnostic requirements corresponding to normotopia of chest image build following four large class images descriptions:
1. take the photograph sheet position:
(1) chest is projected on center, film both sides, should comprise soft tissue on both sides outer border of rib, two side rib diaphragm angles, apex pulmonis;
(2) shoulder blade should be thrown according to outside lung field, both sides clavicle Parallel Symmetric;
(3) shoulder soft tissue shadow stays 3 ~ 5 centimetres;
(4) throw according to the undistorted distortion of image.
2. image density:
(1) basic Fog density value: D≤0.25;
(2) density value of diagnostic region: D=0.25 ~ 2.0;
(3) Kong Baoshe district density value: D>2.4.
3. image level:
(1) level of the clear resolution lung field of energy, vertical diaphragm, the wall of the chest and soft tissue;
(2) 1st ~ 4 thoracic vertebraes and podiod posterior rib should indistinctly show.
4. technical operation:
(1) typeface number proper alignment is in the rabat upper right corner, can not be overlapping with tested shade of organizing;
(2) without external artifact:
(3) dark room operation is without dirty sheet, cut, bonding die, water mark, fingerprint, light leak, electrostatic shade etc.
According to the matching degree that final analysis result and the above-mentioned four class images of medical radiation image to be analyzed (being namely normotopia of chest image in the present embodiment) describe, the present embodiment defines four kinds of image classifications (A-class picture, secondary sheet, third-grade film and waste paper):
Can judge that medical radiation image to be analyzed is A-class picture when final image analysing computer result describes all consistent with above-mentioned four class images;
Have compared with describing with above-mentioned four class images when final image analysing computer result one undesirable, but substantially do not affect diagnosis, the medical radiation image to be analyzed of overall observation analysis inadequate A-class picture standard is secondary sheet;
Have binomial undesirable compared with describing with above-mentioned four class images when final image analysing computer result, but substantially do not affect diagnosis, the medical radiation image to be analyzed of overall observation analysis inadequate A-class picture standard is third-grade film;
All undesirable compared with describing with above-mentioned four class images when final image analysing computer result, the medical radiation image to be analyzed cannot making radiodiagnosis is waste paper.
Next just step S150 is performed, quality of image classification.Namely based on the contrast image analysing computer result of medical radiation image to be analyzed and grade scale thus obtain medical radiation image to be analyzed quality scale.Specific to Fig. 2 of the present embodiment, the analysis result due to the radiographic in Fig. 2 describes all consistent with the four class images for image classification, and therefore the radiographic of Fig. 2 is A-class picture.
Here it is pointed out that in the present embodiment, when judging that in step S140 medical radiation image to be analyzed is invalid, invalid medical radiation image is directly defined as waste paper.Just do not need again to perform step S150 if therefore medical radiation image is invalid.
The present invention passes through the quality of the concrete discriminatory analysis medical radiation image to be analyzed of image classification, medical worker is made not need in the face of a large amount of loaded down with trivial details careful image analysing computer result just can get information about the quality condition of medical radiation image, greatly reducing the workload of medical worker, improve work efficiency.
Be understood that, in practical operation, when only having the feature interpretation of all effective image feature of medical radiation image to be analyzed consistent with image analysing computer standard, medical radiation image to be analyzed is only desirable medical radiation image.If feature interpretation and the image analysing computer standard of some effective image feature of medical radiation image to be analyzed are inconsistent, even if it can be applied to (effective image) in medical diagnosis, but still more or less medical diagnosis can be had influence on.In order to obtain desirable medical radiation image, improving the quality of medical radiation image, thus reaching the quality control of image, present invention further introduces suggestion for operation step (S160).
In step S160, obtain the operations improvement suggestion of corresponding medical radiation image to be analyzed based on classification results and analysis result.Namely, when the feature interpretation of some effective image feature of medical radiation image to be analyzed and image analysing computer standard inconsistent time, provide the suggestion for operation that can obtain the effective image feature consistent with image analysing computer standard for effective image feature inconsistent with image analysing computer standard.
Such as, for the position feature of radiographic, if want to obtain the image (imaging effect Fig. 2 shown in) consistent with image analysing computer standard, then need patient: upright towards shoot rack, shirtfront is near magazine, health center or backbone are just to magazine center line, and magazine upper limb must exceed both shoulders about 3 centimetres; Elbow bends, the back of the hand is put in hip, and two shoulders are as far as possible interior to be turned near magazine, makes both shoulders shoulder blade unlikely overlapping with lung; Two shoulder symmetries keep flat, and make clavicle become horizontal position.In step S160, as by analysis, the position feature of radiographic to be analyzed and image analysing computer standard inconsistent time, then export aforesaid operations suggestion.
For controlling picture quality further, present invention further introduces aggregation step (S170), image analysing computer result, classification results and operations improvement suggestion are gathered, the dimension gathered comprises time, operating personnel, equipment, position, type of error, the data that the scope gathered comprises current acquisition and the historical data obtained before.Staff can understand the total quality situation of medical radiation image according to final summarized results.In the present embodiment, gather as passed through, certain bit manipulation personnel have often taken underproof image, then provide suggestion and carry out corresponding rewards and punishments or training raising to these operating personnel.
Based on above-mentioned image quality analysis control method, present invention also offers a kind of area of computer aided image quality analysis control system for medical radiation image.
As shown in Figure 3, system 300 comprises:
Image analysing computer standard module 310, it is for building the image analysing computer standard for evaluation analysis medical radiation image;
Image analysing computer module 320, it is connected with image analysing computer standard acquisition module 310, for obtaining medical radiation image to be analyzed (data 301) and carrying out analyzing according to 301 based on the image analysing computer standard logarithmic in image analysing computer standard acquisition module 310 thus obtain image analysing computer result and export (exporting data 304);
Image diversity module 330, it is connected with image analysing computer module 320, carries out classification thus obtain classification results and export (exporting data 305) for the image analysing computer result that exports according to image analysing computer module 320 to medical radiation image to be analyzed;
Suggestion for operation module 340, it is connected with image analysing computer module 320, and the image analysing computer result for exporting according to image analysing computer module 320 exports corresponding operations improvement suggestion (exporting data 306);
Effective judgement module 350, it is connected with image analysing computer module 320, and the validity of the medical radiation image to be analyzed of the image analysing computer interpretation of result for exporting according to image analysing computer module 320 also exports efficiency analysis result (exporting data 302);
Alarm module 360, it is connected with Effective judgement module 350, and be formed at medical radiation image to be analyzed invalid time output alarm information (exporting data 303) thus remind operating personnel again to take;
Summarizing module 370, it is connected with image analysing computer module 320, image diversity module 330 and suggestion for operation module 340, arranges for gathering and preserves image analysing computer result, classification results and operations improvement suggestion.Summarizing module 370 can need to export corresponding summary information (exporting data 307) so that user searches the data record of current/history according to user.
System of the present invention adopts area of computer aided to carry out image quality analysis control to medical radiation image, consume when not only greatly reducing execution, improve the execution efficiency that image quality analysis controls, and simplify operating process, substantially reduce the workload of medical personnel.
Although embodiment disclosed in this invention is as above, the embodiment that described content just adopts for the ease of understanding the present invention, and be not used to limit the present invention.Method of the present invention also can have other various embodiments.When not deviating from essence of the present invention, those of ordinary skill in the art are when making various corresponding change or distortion according to the present invention, but these change accordingly or are out of shape the protection domain that all should belong to claim of the present invention.
Claims (10)
1., for an area of computer aided image quality analysis control method for medical radiation image, it is characterized in that, described method comprises following steps:
Build image analysing computer standard step, define effective image feature of described medical radiation image based on the medical applications demand of medical radiation image and the source type of described medical radiation image and build corresponding image analysing computer standard for each described effective image feature;
Analyze image step, based on described image analysing computer standard, automatic analysis is carried out thus acquisition image analysing computer result to described medical radiation image to be analyzed;
Image classification step, formulates grade scale according to described medical applications demand, carries out automatic classification thus acquisition classification results based on described grade scale according to described image analysing computer result to medical radiation image to be analyzed;
Suggestion for operation step, according to described image analysing computer result automatic acquisition and export corresponding described medical radiation image to be analyzed operations improvement suggestion.
2. the method for claim 1, it is characterized in that, described method also comprises sample data model repository construction step, utilizes medical imaging historical record to build medical imaging sample data model repository based on described effective image feature and described image analysing computer standard.
3. the method for claim 1, it is characterized in that, described method also comprises image Effective judgement step, the validity of described medical radiation image to be analyzed is judged based on described image analysing computer result, wherein, when described medical radiation image to be analyzed meets the application-specific demand relevant to diagnosis, described medical radiation image to be analyzed is effective.
4. method as claimed in claim 3, it is characterized in that, described method also comprises alarming step, reports to the police to operating personnel when described medical radiation image to be analyzed is invalid, reminds operating personnel again to make new medical radiation image.
5. the method for claim 1, it is characterized in that, described method also comprises aggregation step, described image analysing computer result, described classification results and described operations improvement suggestion are gathered, the described dimension gathered comprises time, operating personnel, equipment, position, type of error, described in the scope that the gathers data that comprise current acquisition and the historical data that obtains before.
6. the method for claim 1, is characterized in that, described effective image feature comprises position feature, image density feature, histoorgan level characteristics and technical operation feature.
7., for an area of computer aided image quality analysis control system for medical radiation image, it is characterized in that, described system comprises:
Image analysing computer standard module, it is for building the image analysing computer standard for evaluation analysis medical radiation image;
Image analysing computer module, it is connected with described image analysing computer standard module, for analyzing based on described image analysing computer standard described medical radiation image to be analyzed thus obtain image analysing computer result and export;
Image diversity module, it is connected with described image analysing computer module, for carrying out classification according to described image analysing computer result to described medical radiation image to be analyzed thus obtaining classification results and export;
Suggestion for operation module, it is connected with described image analysing computer module, for exporting corresponding operations improvement suggestion according to described image analysing computer result.
8. system as claimed in claim 7, it is characterized in that, described system also includes validity judge module, described Effective judgement module is connected with described image analysing computer module, for medical radiation image to be analyzed according to described image analysing computer interpretation of result validity and export efficiency analysis result.
9. system as claimed in claim 8, it is characterized in that, described system also comprises alarm module, and described alarm module is connected with described Effective judgement module, its be formed at described medical radiation image to be analyzed invalid time output alarm information thus remind operating personnel again take.
10. system as claimed in claim 7, it is characterized in that, described system also comprises summarizing module, described summarizing module is connected with described image analysing computer module, described image diversity module and described suggestion for operation module, arranges for gathering and preserves described image analysing computer result, described classification results and described operations improvement suggestion.
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| CN110136117A (en) * | 2019-05-15 | 2019-08-16 | 东软医疗***股份有限公司 | A kind of processing method, system, image processor and the storage medium of molybdenum target image |
| CN110264449A (en) * | 2019-06-14 | 2019-09-20 | 辽宁万象联合医疗科技有限公司 | The method of quality control of the deep learning method of artificial intelligence and the medical radioactive image chest radiography based on artificial intelligence |
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| CN111696083A (en) * | 2020-05-20 | 2020-09-22 | 平安科技（深圳）有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN113035329A (en) * | 2021-03-22 | 2021-06-25 | 杭州联众医疗科技股份有限公司 | Medical image quality control system |
| CN113114952A (en) * | 2021-04-07 | 2021-07-13 | 华南理工大学 | Method, system and device for evaluating quality of breast follow-up image |
| CN116092642A (en) * | 2023-03-07 | 2023-05-09 | 福建智康云医疗科技有限公司 | Medical image quality control method and system |
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| CN113114952A (en) * | 2021-04-07 | 2021-07-13 | 华南理工大学 | Method, system and device for evaluating quality of breast follow-up image |
| CN113114952B (en) * | 2021-04-07 | 2022-02-18 | 华南理工大学 | Method, system and device for evaluating quality of breast follow-up image |
| CN116092642A (en) * | 2023-03-07 | 2023-05-09 | 福建智康云医疗科技有限公司 | Medical image quality control method and system |
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