CN103020466A - Computer diagnosis method and electronic device - Google Patents
Computer diagnosis method and electronic device Download PDFInfo
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Abstract
The invention discloses a computer diagnosis method and an electronic device. The computer diagnosis method is applied in a medical computer-aided diagnosis system and comprises the steps of: obtaining a first image, wherein the first image is an original image collected by a medical imaging device; obtaining a second image by processing the first image through a first image processing algorithm; obtaining a selection operation for selection of the second region of the second image; obtaining a third image by processing the first region of the first image or the second region through a second image processing algorithm based on the selection operation, wherein the second image processing algorithm is different from the first image processing algorithm, and the second position of the second region on the second image corresponds to the first position of the first region on the first image; and outputting diagnosis information based on the third image.
Description
Technical field
The present invention relates to electronic technology field, relate in particular to a kind of computer diagnosis method and electronic equipment.
Background technology
Along with the development of science and technology, electronic technology has also obtained development at full speed, and the kind of electronic product is also more and more, and people have also enjoyed the various facilities that development in science and technology brings.People can pass through various types of electronic equipments now, enjoy the comfortable life that brings along with development in science and technology.Such as, medical computer assistant diagnosis system (Computer Aided Diagnosis, the image information that CAD) can provide according to ultrasonic scanner, computed tomographic scanner, x-ray scanning instrument, nuclear magnetic resonane scanne etc. medical imaging equipment, clinical image feature according to various disease, vision with " intelligent robot "---computing machine carries out quantitative analysis to the feature of pathology and processes and judge, thereby avoid the error that brings because of the limitation that " people " judges things, thereby reduced the misery that people are subject to because of disease.
At present, the medical computer assistant diagnosis system is undertaken by following three steps when the image information that the processing medical imaging equipment provides usually: the first step is that pathological tissues is extracted from normal configuration; Second step is the quantification of characteristics of image; The 3rd step was that data are processed and reached a conclusion.
But in the process of inventor's invention technical scheme in realizing the embodiment of the invention, find that there is following technical matters at least in above-mentioned technology:
The medical computer assistant diagnosis system is when the image that medical imaging equipments such as processing ultrasonic scanner provides, the image recognition algorithm parameter is very large on follow-up processing result image impact, take the edge of Canny operator searching image as example, if it is less that the upper threshold value of Canny operator is set, then can find a large amount of noise pseudo-edges in entire image, if and the upper threshold value setting is excessive, then can neglect in entire image the edge of a lot of reality, in actual applications, the image recognition algorithm parameter is determined after through great many of experiments or in real time full figure domain analysis, so when the image that uses this image recognition algorithm parameter processing medical imaging equipment to provide, the important informations such as characteristic information that will ignore some trickle lesion information or tissue, that is to say, the medical computer assistant diagnosis system will be omitted this focus or tissue signature according to the result that this image algorithm parameter identifies, therefore, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system.
Because there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system, so the doctor equally also can omit important information according to the diagnosis that the judged result of medical computer assistant diagnosis system is made, thereby meeting has increased the misery that people are subject to because of disease so that people's disease can't obtain the effective treatment.
Summary of the invention
The embodiment of the invention has solved the technical matters that important information is easily omitted in the existence of medical computer assistant diagnosis system in the prior art by a kind of computer diagnosis method and electronic equipment are provided.
The embodiment of the invention provides a kind of computer diagnosis method, is applied to a medical computer assistant diagnosis system, and described method comprises: obtain the first image, described the first image is the original image that a medical imaging device gathers; Use the first image processing algorithm that described the first image is processed, obtain the second image; Obtaining one selects the selection of the second area of described the second image to operate; Based on described selection operation, use the second image processing algorithm that first area or the described second area of described the first image are processed, obtain the 3rd image, wherein, described the second image processing algorithm is not identical with described the first image processing algorithm, and described second area is corresponding with the primary importance of described first area on described the first image in the second place on described the second image; Based on described the 3rd image, export a diagnostic message.
Alternatively, described use the first image processing algorithm is processed described the first image, obtain the second image, be specially: use the image characteristics extraction algorithm with the First Eigenvalue to extract the first image information in described the first image, obtain described the second image; Or use the Edge extraction algorithm with Second Eigenvalue to extract the second image information in described the first image, obtain described the second image.
Alternatively, described use the second image processing algorithm is processed the first area of described the first image, obtain the 3rd image, specifically comprise: use the described image characteristics extraction algorithm with the 3rd eigenwert to extract the first subimage information in the described first area, described the 3rd eigenwert is not identical with described the First Eigenvalue; Image information to be replaced with the second area of described the second image of described the first subimage information substitution obtains described the 3rd image; Or use the described Edge extraction algorithm with the 4th eigenwert to extract the second subimage information in the described first area, described the 4th eigenwert is not identical with described Second Eigenvalue; With the described image information to be replaced of described the second subimage information substitution, obtain described the 3rd image.
Alternatively, described the second image processing algorithm of described use is processed described second area, obtain the 3rd image, specifically comprise: use the described image characteristics extraction algorithm with the 5th eigenwert to extract the 3rd subimage information in the described second area, described the 5th eigenwert is not identical with described the First Eigenvalue; Image information to be replaced with the second area of described the second image of described the 3rd subimage information substitution obtains described the 3rd image; Or use the described Edge extraction algorithm with the 6th eigenwert to extract the 4th subimage information in the described second area, described the 6th eigenwert is not identical with described Second Eigenvalue; With the described image information to be replaced of described the 4th subimage information substitution, obtain described the 3rd image.
Alternatively, describedly export a diagnostic message based on described the 3rd image, specifically comprise: obtain the image feature information in described the 3rd image; Described image feature information is quantitatively calculated, obtain a result of calculation; Based on described result of calculation, export described diagnostic message.
The embodiment of the invention also provides a kind of electronic equipment on the other hand, and described electronic equipment is equipped with a medical computer assistant diagnosis system, and described electronic equipment comprises: casing; One circuit board is arranged in the described casing; One processor, be arranged on the described circuit board, be used for obtaining the first image, described the first image is the original image that a medical imaging device gathers, and use the first image processing algorithm that described the first image is processed, obtain the second image, and the selection that obtains the second area of described the second image of a selection operates, and based on described selection operation, use the second image processing algorithm that first area or the described second area of described the first image are processed, obtain the 3rd image, wherein, described the second image processing algorithm is not identical with described the first image processing algorithm, and described second area is corresponding with the primary importance of described first area on described the first image in the second place on described the second image, and based on described the 3rd image, export a diagnostic message.
Alternatively, described preparation implement body is used for using the image characteristics extraction algorithm with the First Eigenvalue to extract the first image information of described the first image, obtain described the second image, or use the Edge extraction algorithm with Second Eigenvalue to extract the second image information in described the first image, obtain described the second image.
Alternatively, described preparation implement body is used for using the described image characteristics extraction algorithm with the 3rd eigenwert to extract the first subimage information of described first area, described the 3rd eigenwert is not identical with described the First Eigenvalue, image information to be replaced with the second area of described the second image of described the first subimage information substitution obtains described the 3rd image; Or use the described Edge extraction algorithm with the 4th eigenwert to extract the second subimage information in the described first area, described the 4th eigenwert is not identical with described Second Eigenvalue, with the described image information to be replaced of described the second subimage information substitution, obtain described the 3rd image.
Alternatively, described preparation implement body is used for using the described image characteristics extraction algorithm with the 5th eigenwert to extract the 3rd subimage information of described second area, described the 5th eigenwert is not identical with described the First Eigenvalue, image information to be replaced with the second area of described the second image of described the 3rd subimage information substitution obtains described the 3rd image; Or use the described Edge extraction algorithm with the 6th eigenwert to extract the 4th subimage information in the described second area, described the 6th eigenwert is not identical with described Second Eigenvalue, with the described image information to be replaced of described the 4th subimage information substitution, obtain described the 3rd image.
Alternatively, described preparation implement body is used for obtaining the image feature information of described the 3rd image, and described image feature information is quantitatively calculated, and obtains a result of calculation, based on described result of calculation, exports described diagnostic message.
The one or more technical schemes that provide in the embodiment of the invention have following technique effect or advantage at least:
1, using the first image processing algorithm that the original image of medical imaging device collection is processed owing to having adopted, after obtaining the second image, obtaining one selects the selection of the second area of the second image to operate, and based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, at last based on the 3rd image, export the technical scheme of a diagnostic message, the important information that is missed in the second image can be extracted again after through the processing of the second image processing algorithm, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system in the prior art so solved, thereby can provide accuracy higher diagnostic message Xiang the doctor, judge so that the doctor makes the higher state of an illness of accuracy.
2, owing to having solved the technical matters that important information is easily omitted in the existence of medical computer assistant diagnosis system in the prior art, so the diagnosis that the doctor makes according to the diagnostic message of medical computer assistant diagnosis system output just can not omitted the important information in the image that the medical imaging device gathers, thereby so that people's disease can obtain the effective treatment, reduced the misery that people are subject to because of disease.
Description of drawings
The process flow diagram of the computer diagnosis method that Fig. 1 provides for one embodiment of the invention;
The user that Fig. 2 provides for one embodiment of the invention states the process flow diagram of the computer diagnosis method that embodiment provides before use;
The functional block diagram of the electronic equipment that Fig. 3 provides for one embodiment of the invention.
Embodiment
The embodiment of the invention provides a kind of computer diagnosis method and electronic equipment, has solved the technical matters that important information is easily omitted in the existence of medical computer assistant diagnosis system in the prior art.
There is the technical matters of easily omitting important information in technical scheme in the embodiment of the invention for solving above-mentioned medical computer assistant diagnosis system, and general thought is as follows:
At first, obtain the first image, the first image is specially a medical imaging device, such as the original image of the medical imaging devices such as ultrasonic scanner collection;
Secondly, use the first image processing algorithm that the first image is processed, obtain the second image;
Then, obtain one and select the selection of the second area of the second image to operate, also namely may there be the important information that is missed in the second area of the second image;
Then, based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, the important information that also namely is missed in the second image has been extracted after through the processing of the second image processing algorithm again;
Based on the 3rd image, export a diagnostic message at last.
Can find out by above-mentioned part, using the first image processing algorithm that the original image of medical imaging device collection is processed owing to having adopted, after obtaining the second image, obtaining one selects the selection of the second area of the second image to operate, and based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, at last based on the 3rd image, export the technical scheme of a diagnostic message, the important information that is missed in the second image can be extracted again after through the processing of the second image processing algorithm, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system in the prior art so solved, thereby can provide accuracy higher diagnostic message Xiang the doctor, judge so that the doctor makes the higher state of an illness of accuracy.
Simultaneously, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system in the prior art owing to having solved, so the diagnosis that the doctor makes according to the diagnostic message of medical computer assistant diagnosis system output just can not omitted the important information in the image that the medical imaging device gathers, thereby so that people's disease can obtain the effective treatment, reduced the misery that people are subject to because of disease.
In order better to understand technique scheme, below in conjunction with Figure of description and concrete embodiment technique scheme is described in detail.
The embodiment of the invention provides a kind of computer diagnosis method, is applied to a medical computer assistant diagnosis system, please refer to Fig. 1, and Fig. 1 is the process flow diagram of the computer diagnosis method that provides of the embodiment of the invention, and method comprises:
S1: obtain the first image, the first image is the original image that a medical imaging device gathers;
S2: use the first image processing algorithm that the first image is processed, obtain the second image;
S3: obtain one and select the selection of the second area of the second image to operate;
S4: based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, wherein, the second image processing algorithm is not identical with the first image processing algorithm, and second area is corresponding with the primary importance of first area on the first image in the second place on the second image;
S5: based on the 3rd image, export a diagnostic message.
In step S1, obtain the first image, the first image is the original image that a medical imaging device gathers, specifically, the first image can be the original image of the scan patients disease sites of ultrasonic scanner, computed tomographic scanner, x-ray scanning instrument, nuclear magnetic resonane scanne etc. medical imaging equipment collection.In the present embodiment, the ultrasonic original image of the tumor of breast of the patient take the first image as the ultrasonic scanner collection is carried out detailed describing for example as example, certainly, in actual applications, the first image also can be the original image that other medical imaging equipments of computed tomographic scanner, x-ray scanning instrument, nuclear magnetic resonane scanne etc. gather, and does not limit at this.
In step S2, use the first image processing algorithm that the first image is processed, obtain the second image, specifically, can be: use the image characteristics extraction algorithm with the First Eigenvalue to extract the first image information in the first image, obtain the second image; Or use the Edge extraction algorithm with Second Eigenvalue to extract the second image information in the first image, obtain the second image.
In specific implementation process, the image characteristics extraction algorithm that use has a First Eigenvalue extracts the first image information in the first image, obtain the second image, can be to use the image characteristics extraction algorithm with the First Eigenvalue, such as wavelet transformation, the image characteristics extraction algorithms such as Curvelet conversion, the feature of pathological tissues or diseased organ is extracted from the first image, in the present embodiment, can be to use the image characteristics extraction algorithm with the First Eigenvalue, the feature of the tumor tissues in the ultrasonic original image of the tumor of breast that obtains among the step S1 is extracted from the first image, then obtain the second image.
In actual applications, in order to obtain comparatively clearly the second image, the First Eigenvalue, it also is the first image recognition algorithm parameter of image characteristics extraction algorithm, can be by determining a numerical value after great many of experiments or the in real time full figure domain analysis, image characteristics extraction algorithm with the First Eigenvalue can satisfy the image characteristics extraction of whole ultrasonic original image, be unlikely to again to produce a large amount of pseudo-characteristics, the occurrence of the First Eigenvalue can change according to the difference of handled image and image characteristics extraction algorithm, by aforementioned introduction, technician under this area can be according to actual conditions, select suitable image characteristics extraction algorithm and the First Eigenvalue, to satisfy the demand of actual conditions, just repeated no more at this.
In specific implementation process, the Edge extraction algorithm that use has a Second Eigenvalue extracts the second image information in the first image, obtain the second image, can be to use the Edge extraction algorithm with Second Eigenvalue, such as being the Canny operator, the Edge extraction algorithms such as Laplace operator (Laplacian), the edge of pathological tissues or diseased organ is extracted from the first image, in the present embodiment, can be to use the Edge extraction algorithm with Second Eigenvalue, the edge of the tumor tissues in the ultrasonic original image of the tumor of breast that obtains among the step S1 is extracted from the first image, then obtain the second image.
In actual applications, in order to obtain comparatively clearly the second image, Second Eigenvalue, it also is the second image recognition algorithm parameter of Edge extraction algorithm, can be by determining a numerical value after great many of experiments or the in real time full figure domain analysis, Edge extraction algorithm with Second Eigenvalue can satisfy the Edge extraction of whole ultrasonic original image, be unlikely to again to produce a large amount of pseudo-edges, the occurrence of Second Eigenvalue can change according to the difference of handled image and image characteristics extraction algorithm, by aforementioned introduction, technician under this area can be according to actual conditions, select suitable Edge extraction algorithm and Second Eigenvalue, to satisfy the demand of actual conditions, just repeated no more at this.
After obtaining the second image by step S2, the computer diagnosis method that the embodiment of the invention provides enters step S3, that is: obtain one and select the selection of the second area of the second image to operate.
Obtaining one and select the selection of the second area of the second image to operate, specifically, can be that acquisition uses the doctor of this medical computer assistant diagnosis system to select the selection operation of the second area of the second image.
In actual applications, the concurrent operation ability that human brain is powerful and intelligent association ability have the incomparable advantage of existing common computer to the identification of figure, so the full figure area image Processing Algorithm that adopts at computing machine is not when the marginal information or characteristic information of pathological tissues or diseased organ are found in a certain zone of image, use the user of this medical computer assistant diagnosis system, also be the experience that the doctor accumulates at work according to self, the zone that can find some suspected lesion tissues or diseased organ by the powerful concurrent operation ability of brain and intelligent association ability simultaneously.At this moment, when the display screen of the electronic equipment at medical computer assistant diagnosis system place is touch-screen, the doctor can click by the second area on the second image, also namely inputted a selection operation of selecting the second area of the second image to the medical computer assistant diagnosis system, certainly, when the display screen of this electronic equipment is common non-touch display screen curtain, can finish with mouse the selection operation of the second area of selecting the second image, the doctor point click or position that mouse is clicked centered by a certain magnitude range in the zone can be used as second area, this second area size is that those skilled in the art can be according to image concrete setting from the different of image processing algorithm, certainly, also can be after the doctor passes through finger or mouse clicks a position, adjusted again the concrete size of second area by the doctor, certainly, by aforementioned introduction, those skilled in the art can also be according to actual conditions, the mode that to use other suitable modes for example be phonetic entry, inputted a selection operation of selecting the second area of the second image to the medical computer assistant diagnosis system, to satisfy the needs of actual conditions, just repeated no more at this.
The medical computer assistant diagnosis system just can get access to the selection operation of the second area of selecting the second image by detecting doctor's input operation.
Obtain this selection operation by step S3 after, the computer diagnosis method that the embodiment of the invention provides enters step S4, that is: based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image.
In step S4, use the second image processing algorithm that the first area of the first image is processed, obtain the 3rd image, specifically, can comprise: use the first subimage information in the image characteristics extraction algorithm extraction first area with the 3rd eigenwert, the 3rd eigenwert is not identical with the First Eigenvalue, and with the image information to be replaced of the second area of the first subimage information substitution the second image, obtains the 3rd image; Or use the Edge extraction algorithm with the 4th eigenwert to extract the second subimage information in the first area, the 4th eigenwert is not identical with Second Eigenvalue, and with the second subimage information substitution image information to be replaced, obtains the 3rd image.
In specific implementation process, the image characteristics extraction algorithm that use has the 3rd eigenwert extracts the first subimage information in the first area, the 3rd eigenwert is not identical with the First Eigenvalue, and with the image information to be replaced of the second area of the first subimage information substitution the second image, obtain the 3rd image, specifically, can be to use the image characteristics extraction algorithm with the 3rd eigenwert, extract the first subimage information such as image characteristics extraction algorithms such as aforementioned said wavelet transformations, in the present embodiment, owing to having obtained to select the selection operation of the second area of the second image among the step S3, it also is the experience that the doctor accumulates at work according to self, the zone that has some suspected lesion tissues or diseased organ in the second area that can find the second image by the powerful concurrent operation ability of brain and intelligent association ability simultaneously, so use the image characteristics extraction algorithm with the 3rd eigenwert to extract the first subimage information in the first area of the first image, so that the use of subsequent step.
In actual applications, if the image information sensitivity with the image characteristics extraction algorithm in step S2 is made as a higher value, the sensitivity that also is about to the first image processing algorithm improves, then in the second image that obtains, can find a large amount of noise pseudo-characteristics, thereby can reduce the accuracy of the diagnostic message of medical computer assistant diagnosis system output, and in this step, the 3rd eigenwert, the 3rd image recognition algorithm parameter that yet is the image characteristics extraction algorithm is not identical with the First Eigenvalue, can be so that the image information of image characteristics extraction algorithm is extracted the eigenwert that sensitivity becomes higher, specifically, it can be the variable weight of the adaptive algorithm after adjusting, filter type after utility function after the replacing or the replacing etc., because the higher image characteristics extraction algorithm of the sensitivity of image information extraction herein is the first area for the first image, and this zone is the experience that is accumulated at work according to self by the doctor, find by the powerful concurrent operation ability of brain and intelligent association ability simultaneously, so sensitivity that improves image processing algorithm in this zone, can not reduce the accuracy of the diagnostic message that the medical computer assistant diagnosis system provides, can find on the contrary the first image to be processed and the important information omitted in the second image of obtaining by the first image processing algorithm, thereby so that the medical computer assistant diagnosis system can not omitted this important information when diagnostic message is provided, then improved the accuracy of the diagnostic message of medical computer assistant diagnosis system output.The occurrence of the 3rd eigenwert can change according to the difference of handled image and image characteristics extraction algorithm, by aforementioned introduction, technician under this area can be according to actual conditions, select suitable image characteristics extraction algorithm and the 3rd eigenwert, to satisfy the demand of actual conditions, just repeated no more at this.
In actual applications, select the selection of the second area of the second image to operate owing to having obtained one by step S2, also namely in the second image second area thought by the doctor problematic, so the image information in the second area in the second image namely is to treat alternate image information.
After extracting the first subimage information, can be with the image information to be replaced of the second area of the first subimage information substitution the second image, thus can obtain the 3rd image, for the follow-up use of medical computer assistant diagnosis system.
Above-mentioned part describes the first subimage information in the first area of using the image characteristics extraction algorithm with the 3rd eigenwert to extract the first image in detail, and obtain the detailed process of the 3rd image, in ensuing part, the process of the second subimage information in the first area of using the Edge extraction algorithm with the 4th eigenwert to extract the first image will be introduced.
In specific implementation process, the Edge extraction algorithm that use has the 4th eigenwert extracts the second subimage information in the first area, the 4th eigenwert is not identical with Second Eigenvalue, and with the second subimage information substitution image information to be replaced, obtain the 3rd image, specifically, can be to use the Edge extraction algorithm with the 4th eigenwert, such as aforementioned said Canny operator, the Edge extraction algorithms such as Laplace operator extract the second subimage information, the experience that the doctor accumulates at work according to self, the zone that has some suspected lesion tissues or diseased organ in the second area that can find the second image by the powerful concurrent operation ability of brain and intelligent association ability simultaneously, so use the Edge extraction algorithm with the 4th eigenwert to extract the second subimage information in the first area of the first image, so that the use of subsequent step.
In actual applications, if the image information sensitivity with the Edge extraction algorithm in step S2 is made as a higher value, the sensitivity that also is about to the first image processing algorithm improves, then in the second image that obtains, can find a large amount of noise pseudo-edges, thereby can reduce the accuracy of the diagnostic message of medical computer assistant diagnosis system output, and in this step, the 4th eigenwert, the 3rd image recognition algorithm parameter that yet is the Edge extraction algorithm is not identical with Second Eigenvalue, can be so that the image information of Edge extraction algorithm is extracted the eigenwert that sensitivity becomes higher, specifically, can be to adjust the Canny operator, threshold value behind the Edge extraction algorithms such as Laplace operator etc., because the higher Edge extraction algorithm of the sensitivity of image information extraction herein is the first area for the first image, and this zone is the experience that is accumulated at work according to self by the doctor, find by the powerful concurrent operation ability of brain and intelligent association ability simultaneously, so sensitivity that improves image processing algorithm in this zone, can not reduce the accuracy of the diagnostic message that the medical computer assistant diagnosis system provides, can find on the contrary the first image to be processed and the important information omitted in the second image of obtaining by the first image processing algorithm, thereby so that the medical computer assistant diagnosis system can not omitted this important information when diagnostic message is provided, then improved the accuracy of the diagnostic message of medical computer assistant diagnosis system output.The occurrence of the 4th eigenwert can change according to the difference of handled image and Edge extraction algorithm, by aforementioned introduction, technician under this area can be according to actual conditions, select suitable Edge extraction algorithm and the 4th eigenwert, to satisfy the demand of actual conditions, just repeated no more at this.
Above-mentioned part has been introduced and has been used the second image processing algorithm that the first area of the first image is processed, obtain the detailed process of the 3rd image, in ensuing part, will introduce and use the second image processing algorithm that second area is processed, obtain the process of the 3rd image.
In step S4, use the second image processing algorithm that second area is processed, obtain the 3rd image, specifically, can comprise: use the 3rd subimage information in the image characteristics extraction algorithm extraction second area with the 5th eigenwert, the 5th eigenwert is not identical with the First Eigenvalue, and with the image information to be replaced of the second area of the 3rd subimage information substitution the second image, obtains the 3rd image; Or use the Edge extraction algorithm with the 6th eigenwert to extract the 4th subimage information in the second area, the 6th eigenwert is not identical with Second Eigenvalue, and with the 4th subimage information substitution frame information to be replaced, obtains the 3rd image.
In specific implementation process, the image characteristics extraction algorithm that use has the 5th eigenwert extracts the 3rd subimage information in the second area, the 5th eigenwert is not identical with the First Eigenvalue, and with the image information to be replaced of the second area of the 3rd subimage information substitution the second image, obtain the 3rd image, specifically, obtain the process of the 3rd image in this step, the image characteristics extraction algorithm that has the 3rd eigenwert with aforementioned use extracts the first subimage information in the first area of the first image, and with the image information to be replaced of the second area of the first subimage information substitution the second image, the process that obtains the 3rd image is similar, just this step is the 3rd subimage information of extracting in the second area of the second image, and with the image information to be replaced of the second area of the second image that obtains among the 3rd subimage information substitution step S2 that extracts, thereby obtain the 3rd image, those skilled in the art can be according to the description of abovementioned steps, recognize the specific implementation process of this step, this succinct for instructions, just repeated no more.
Same, in specific implementation process, the Edge extraction algorithm that use has the 6th eigenwert extracts the 4th subimage information in the second area, the 6th eigenwert is not identical with Second Eigenvalue, and with the 4th subimage information substitution frame information to be replaced, obtain the 3rd image, specifically, obtain the process of the 3rd image in this step, the Edge extraction algorithm that has the 4th eigenwert with aforementioned use extracts the second subimage information in the first area, and with the second subimage information substitution image information to be replaced, the process that obtains the 3rd image is similar, just this step is the 4th subimage information of extracting in the second area of the second image, and with the image information to be replaced of the second area of the second image that obtains among the 4th subimage information substitution step S2 that extracts, thereby obtain the 3rd image, those skilled in the art can be according to the description of abovementioned steps, recognize the specific implementation process of this step, this succinct for instructions, just repeated no more at this.
In specific implementation process, by having the possibility of omitting important information in a more than zone on the second image that obtains among the step S2, also namely there are a plurality of zones to have the situation of omitting important information, this moment, the medical computer assistant diagnosis system only need to obtain a plurality of selection operations, and then substitute after using the second image processing algorithms to process a plurality of zones corresponding on the second image and get final product, just repeated no more at this.
In real process, second area is corresponding with the primary importance of first area on the first image in the second place on the second image.
After obtaining the 3rd image by step S4, the method that the embodiment of the invention provides enters step S5, based on the 3rd image, exports a diagnostic message that is:.
In step S5, based on the 3rd image, export a diagnostic message, specifically, can comprise: obtain the image feature information in the 3rd image, and image feature information is quantitatively calculated, obtain a result of calculation, and based on result of calculation, the output diagnostic message.
In specific implementation process, obtain the image feature information in the 3rd image, and image feature information quantitatively calculated, obtain a result of calculation, and based on result of calculation, the output diagnostic message, specifically, can be the characteristic information that extracts in the 3rd image, and this image feature information is quantitatively calculated, and according to result of calculation output diagnostic message.
Such as, the characteristic quantification analysis of Ultrasound Image of Breast Tumor is to differentiating specifically benign tumour or malignant tumour has great reference value of tumor of breast, database in the medical computer assistant diagnosis system has been stored optimum and the characteristics of malignant breast tumor on ultrasonoscopy, with mammary gland benign tumor and malignant tumour diagnostic characteristics in shape, the edge, the border, towards, the quantization method of the several aspects of echo characteristic and quantization parameter have carried out comparatively comprehensively mathematical statistics, after quantitatively calculating at the image feature information that obtains the 3rd image and to it, quantitative data corresponding in result of calculation and the database is analyzed, thereby output diagnostic message, this diagnostic message has comprised the contrast situation of the characteristic information of storing in the image feature information and database in the 3rd image, for the doctor with reference to use.In the present embodiment, because the 3rd image has comprised the important information of omitting in the second image, so the image feature information in the 3rd image that obtains has also comprised the image feature information of the important information that is missed in the second image, after the image feature information of the 3rd image quantitatively calculated, also comprised the diagnostic message of making according to the important information that is missed in the second image in the diagnostic message based on result of calculation output, thereby the diagnostic message accuracy of output is higher, so that the doctor can analyze people's the state of an illness more accurately, the therapeutic scheme that provides is also more accurate, then so that people's disease can obtain the effective treatment, reduce the misery that people are subject to because of disease.
Certainly, in actual applications, in step S4, obtain the 3rd image after, before the step S5, also can fill such as the Morphology Algorithm of corrosion and expansion the 3rd image example, so that the use of follow-up step, for example, marginal information in the 3rd image is carried out expansion process, and then the filling edge, corrode again, thereby finish a complete morphology filling algorithm, for the medical computer assistant diagnosis system it is analyzed, then export diagnostic message.
Description by above-mentioned part as can be known, using the first image processing algorithm that the original image of medical imaging device collection is processed owing to having adopted, after obtaining the second image, obtaining one selects the selection of the second area of the second image to operate, and based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, at last based on the 3rd image, export the technical scheme of a diagnostic message, the important information that is missed in the second image can be extracted again after through the processing of the second image processing algorithm, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system in the prior art so solved, thereby can provide accuracy higher diagnostic message Xiang the doctor, judge so that the doctor makes the higher state of an illness of accuracy.
Simultaneously, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system in the prior art owing to having solved, so the diagnosis that the doctor makes according to the diagnostic message of medical computer assistant diagnosis system output just can not omitted the important information in the image that the medical imaging device gathers, thereby so that people's disease can obtain the effective treatment, reduced the misery that people are subject to because of disease.
In last embodiment, to stand in this side of medical computer assistant diagnosis system to describe the computer diagnosis method that the embodiment of the invention provides, in ensuing embodiment, will stand in the user, also be that doctor's angle is described the computer diagnosis method that the embodiment of the invention provides.
Please refer to Fig. 2, Fig. 2 is the user that the embodiment of the invention provides, and also is the process flow diagram of doctor when the computer diagnosis method of using the embodiment of the invention to provide.As shown in Figure 2, the doctor may further comprise the steps when using the method:
S21: judge whether the regional undiscovered of suspected lesion tissue or diseased organ is arranged on the second image, specifically, it is the experience that the doctor accumulates at work according to self, by powerful concurrent operation ability and the intelligent association ability of brain, judge whether the regional undiscovered of suspected lesion tissue or diseased organ is arranged on the second image simultaneously.
S22: when the second area of the second image has suspected lesion tissue or diseased organ undiscovered, the selection operation of the second area of the second image is selected in input one, specifically, when the second area of namely judging the second image in step S21 has suspected lesion tissue or diseased organ undiscovered, when the display screen of the electronic equipment at medical computer assistant diagnosis system place is touch-screen, the doctor can click by the second area on the second image, certainly, when the display screen of this electronic equipment is common non-touch display screen curtain, can finish with mouse the selection operation of the second area of selecting the second image, the doctor point click or position that mouse is clicked centered by a certain magnitude range in the zone can be used as second area, this second area size is that those skilled in the art can arrange from the different of image processing algorithm according to image, certainly, also can be after the doctor passes through finger or mouse clicks a position, adjusted again the concrete size of second area by the doctor, just repeated no more at this.
S23: the diagnostic message that obtains the output of medical computer assistant diagnosis system, specifically, be that the medical computer assistant diagnosis system is after the selection operation of the second area of selection the second image that obtains doctor's input, according to this selection operation the second image or the first image are processed accordingly, concrete processing procedure is asked for an interview above-mentioned description part to the computer diagnosis method, then exports diagnostic message.
Can find out by above-mentioned part, because when the doctor judges that the second image has suspected lesion tissue or diseased organ regional undiscovered, again the second image is processed by the operation of doctor's input selection, then the medical computer assistant diagnosis system is according to the second image output diagnostic message after processing, what thereby the doctor obtained is the higher diagnostic message of accuracy, then can according to this diagnostic message, make the higher state of an illness of accuracy and judge.
Simultaneously, because the doctor is according to this diagnostic message, made the higher state of an illness of accuracy and judged, so that people's disease can obtain the effective treatment, reduced the misery that people are subject to because of disease.
Based on same inventive concept, the embodiment of the invention also provides a kind of electronic equipment, and in actual applications, this electronic equipment can be desktop computer, also can be notebook computer, can also be the electronic equipments such as workstation, does not limit at this.
Please refer to Fig. 3, Fig. 3 is the functional block diagram of the electronic equipment that provides of the embodiment of the invention, and this electronic equipment is equipped with a medical computer assistant diagnosis system, and this electronic equipment comprises: casing 301; Circuit board 302 is arranged in the casing 301; Processor 303, be arranged on the circuit board 302, be used for obtaining the first image, the first image is the original image that a medical imaging device gathers, and use the first image processing algorithm that the first image is processed, obtain the second image, and the selection that obtains the second area of a selection the second image operates, and based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, wherein, the second image processing algorithm is not identical with the first image processing algorithm, and second area is corresponding with the primary importance of first area on the first image in the second place on the second image, and based on the 3rd image, export a diagnostic message.
In specific implementation process, processor 303 is concrete for using the image characteristics extraction algorithm with the First Eigenvalue to extract the first image information of the first image, obtain the second image, or use the Edge extraction algorithm with Second Eigenvalue to extract the second image information in the first image, obtain the second image.
In specific implementation process, processor 303 concrete the first subimage information that are used for using the image characteristics extraction algorithm extraction first area with the 3rd eigenwert, the 3rd eigenwert is not identical with the First Eigenvalue, image information to be replaced with the second area of the first subimage information substitution the second image obtains the 3rd image; Or use the Edge extraction algorithm with the 4th eigenwert to extract the second subimage information in the first area, the 4th eigenwert is not identical with Second Eigenvalue, with the second subimage information substitution image information to be replaced, obtains the 3rd image.
In specific implementation process, processor 303 concrete the 3rd subimage information that are used for using the image characteristics extraction algorithm with the 5th eigenwert to extract second area, the 5th eigenwert is not identical with the First Eigenvalue, image information to be replaced with the second area of the 3rd subimage information substitution the second image obtains the 3rd image; Or use the Edge extraction algorithm with the 6th eigenwert to extract the 4th subimage information in the second area, the 6th eigenwert is not identical with Second Eigenvalue, with the 4th subimage information substitution image information to be replaced, obtains the 3rd image.
In specific implementation process, the processor 303 concrete image feature informations that are used for obtaining the 3rd image quantitatively calculate image feature information, obtain a result of calculation, based on result of calculation, and the output diagnostic message.
Electronic equipment in the present embodiment and the computer diagnosis method in the previous embodiment are based on two aspects under the same inventive concept, the implementation process of method has been done detailed description in front, so those skilled in the art can be according to structure and the implementation process of the electronic equipment in aforementioned understanding the present embodiment that is described clearly, succinct for instructions just repeated no more at this.
Technical scheme among the invention described above embodiment has following technique effect or advantage at least:
1, using the first image processing algorithm that the original image of medical imaging device collection is processed owing to having adopted, after obtaining the second image, obtaining one selects the selection of the second area of the second image to operate, and based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are processed, obtain the 3rd image, at last based on the 3rd image, export the technical scheme of a diagnostic message, the important information that is missed in the second image can be extracted again after through the processing of the second image processing algorithm, there is the technical matters of easily omitting important information in the medical computer assistant diagnosis system in the prior art so solved, thereby can provide accuracy higher diagnostic message Xiang the doctor, judge so that the doctor makes the higher state of an illness of accuracy.
2, owing to having solved the technical matters that important information is easily omitted in the existence of medical computer assistant diagnosis system in the prior art, so the diagnosis that the doctor makes according to the diagnostic message of medical computer assistant diagnosis system output just can not omitted the important information in the image that the medical imaging device gathers, thereby so that people's disease can obtain the effective treatment, reduced the misery that people are subject to because of disease.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt complete hardware implementation example, complete implement software example or in conjunction with the form of the embodiment of software and hardware aspect.And the present invention can adopt the form of the computer program of implementing in one or more computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) that wherein include computer usable program code.
The present invention is that reference is described according to process flow diagram and/or the block scheme of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block scheme and/or square frame and process flow diagram and/or the block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device producing a machine, so that the instruction of carrying out by the processor of computing machine or other programmable data processing device produces the device that is used for realizing in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, so that the instruction that is stored in this computer-readable memory produces the manufacture that comprises command device, this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing device, so that carry out the sequence of operations step producing computer implemented processing at computing machine or other programmable devices, thereby be provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame in the instruction that computing machine or other programmable devices are carried out.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (10)
1. a computer diagnosis method is applied to a medical computer assistant diagnosis system, it is characterized in that, described method comprises:
Obtain the first image, described the first image is the original image that a medical imaging device gathers;
Use the first image processing algorithm that described the first image is processed, obtain the second image;
Obtaining one selects the selection of the second area of described the second image to operate;
Based on described selection operation, use the second image processing algorithm that first area or the described second area of described the first image are processed, obtain the 3rd image, wherein, described the second image processing algorithm is not identical with described the first image processing algorithm, and described second area is corresponding with the primary importance of described first area on described the first image in the second place on described the second image;
Based on described the 3rd image, export a diagnostic message.
2. the method for claim 1 is characterized in that, described use the first image processing algorithm is processed described the first image, obtains the second image, is specially:
The image characteristics extraction algorithm that use has a First Eigenvalue extracts the first image information in described the first image, obtains described the second image; Or
The Edge extraction algorithm that use has a Second Eigenvalue extracts the second image information in described the first image, obtains described the second image.
3. method as claimed in claim 2 is characterized in that, described use the second image processing algorithm is processed the first area of described the first image, obtains the 3rd image, specifically comprises:
The described image characteristics extraction algorithm that use has the 3rd eigenwert extracts the first subimage information in the described first area, and described the 3rd eigenwert is not identical with described the First Eigenvalue;
Image information to be replaced with the second area of described the second image of described the first subimage information substitution obtains described the 3rd image; Or
The described Edge extraction algorithm that use has the 4th eigenwert extracts the second subimage information in the described first area, and described the 4th eigenwert is not identical with described Second Eigenvalue;
With the described image information to be replaced of described the second subimage information substitution, obtain described the 3rd image.
4. method as claimed in claim 2 is characterized in that, described the second image processing algorithm of described use is processed described second area, obtains the 3rd image, specifically comprises:
The described image characteristics extraction algorithm that use has the 5th eigenwert extracts the 3rd subimage information in the described second area, and described the 5th eigenwert is not identical with described the First Eigenvalue;
Image information to be replaced with the second area of described the second image of described the 3rd subimage information substitution obtains described the 3rd image; Or
The described Edge extraction algorithm that use has the 6th eigenwert extracts the 4th subimage information in the described second area, and described the 6th eigenwert is not identical with described Second Eigenvalue;
With the described image information to be replaced of described the 4th subimage information substitution, obtain described the 3rd image.
5. such as the described method of the arbitrary claim of claim 1-4, it is characterized in that, describedly export a diagnostic message based on described the 3rd image, specifically comprise:
Obtain the image feature information in described the 3rd image;
Described image feature information is quantitatively calculated, obtain a result of calculation;
Based on described result of calculation, export described diagnostic message.
6. electronic equipment, described electronic equipment is equipped with a medical computer assistant diagnosis system, it is characterized in that, and described electronic equipment comprises:
Casing;
One circuit board is arranged in the described casing;
One processor, be arranged on the described circuit board, be used for obtaining the first image, described the first image is the original image that a medical imaging device gathers, and use the first image processing algorithm that described the first image is processed, obtain the second image, and the selection that obtains the second area of described the second image of a selection operates, and based on described selection operation, use the second image processing algorithm that first area or the described second area of described the first image are processed, obtain the 3rd image, wherein, described the second image processing algorithm is not identical with described the first image processing algorithm, and described second area is corresponding with the primary importance of described first area on described the first image in the second place on described the second image, and based on described the 3rd image, export a diagnostic message.
7. electronic equipment as claimed in claim 6, it is characterized in that, described preparation implement body is used for using the image characteristics extraction algorithm with the First Eigenvalue to extract the first image information of described the first image, obtain described the second image, or use the Edge extraction algorithm with Second Eigenvalue to extract the second image information in described the first image, obtain described the second image.
8. electronic equipment as claimed in claim 7, it is characterized in that, described preparation implement body is used for using the described image characteristics extraction algorithm with the 3rd eigenwert to extract the first subimage information of described first area, described the 3rd eigenwert is not identical with described the First Eigenvalue, image information to be replaced with the second area of described the second image of described the first subimage information substitution obtains described the 3rd image; Or use the described Edge extraction algorithm with the 4th eigenwert to extract the second subimage information in the described first area, described the 4th eigenwert is not identical with described Second Eigenvalue, with the described image information to be replaced of described the second subimage information substitution, obtain described the 3rd image.
9. electronic equipment as claimed in claim 7, it is characterized in that, described preparation implement body is used for using the described image characteristics extraction algorithm with the 5th eigenwert to extract the 3rd subimage information of described second area, described the 5th eigenwert is not identical with described the First Eigenvalue, image information to be replaced with the second area of described the second image of described the 3rd subimage information substitution obtains described the 3rd image; Or use the described Edge extraction algorithm with the 6th eigenwert to extract the 4th subimage information in the described second area, described the 6th eigenwert is not identical with described Second Eigenvalue, with the described image information to be replaced of described the 4th subimage information substitution, obtain described the 3rd image.
10. such as the described electronic equipment of the arbitrary claim of claim 6-9, it is characterized in that, described preparation implement body is used for obtaining the image feature information of described the 3rd image, described image feature information is quantitatively calculated, obtain a result of calculation, based on described result of calculation, export described diagnostic message.
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