CN103020466B - A kind of computer diagnosis method and electronic equipment - Google Patents
A kind of computer diagnosis method and electronic equipment Download PDFInfo
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- CN103020466B CN103020466B CN201210574641.9A CN201210574641A CN103020466B CN 103020466 B CN103020466 B CN 103020466B CN 201210574641 A CN201210574641 A CN 201210574641A CN 103020466 B CN103020466 B CN 103020466B
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Abstract
A kind of open computer diagnosis method of the present invention and electronic equipment, described computer diagnosis method is applied to a medical computer assistant diagnosis system, and described method includes: obtain the first image, and described first image is the original image that a medical imaging device gathers；Use the first image processing algorithm that described first image is processed, it is thus achieved that the second image；Obtain the selection operation of the second area of described second image of selection；Operation is selected based on described, use the second image processing algorithm that first area or the described second area of described first image are processed, obtain the 3rd image, wherein, described second image processing algorithm differs with described first image processing algorithm, and the described second area second position on described second image is corresponding with described first area primary importance on described first image；Based on described 3rd image, export a diagnostic message.
Description
Technical field
The present invention relates to electronic technology field, particularly relate to a kind of computer diagnosis method and electronic equipment.
Background technology
Along with the development of science and technology, electronic technology have also been obtained development at full speed, the kind of electronic product
Class also gets more and more, and people have also enjoyed the various facilities that development in science and technology brings.People can pass through now
Various types of electronic equipments, enjoy the comfortable life brought along with development in science and technology.Such as, medical computer
Assistant diagnosis system (Computer Aided Diagnosis, CAD) can be according to ultrasonic scanner, meter
The image that calculation machine tomoscanner, x-ray scanning instrument, nuclear magnetic resonance scanner etc. medical imaging equipment provides
Information, according to the clinical image feature of various disease, with the vision computer pair of " intelligent robot "
The feature of pathological changes carries out quantitative analysis process and judges, thus avoids judging things because of " people "
The error that limitation is brought, thus decrease the misery that people are subject to because of disease.
At present, medical computer assistant diagnosis system is logical when processing the image information that medical imaging equipment provides
Often carry out by following three steps: the first step is that pathological tissues is extracted from normal configuration；Second step is figure
Quantization as feature；3rd step is to process data and reach a conclusion.
But the present inventor during inventive technique scheme, finds above-mentioned technology in realizing the embodiment of the present invention
At least there is following technical problem:
Medical computer assistant diagnosis system is processing the figure that the medical imaging equipments such as ultrasonic scanner provide
During picture, image recognition algorithm parameter is very big on follow-up processing result image impact, searches with Canny operator
As a example by the edge of rope image, if the upper threshold value of Canny operator sets less, then can send out in entire image
Existing substantial amounts of noise pseudo-edge, and if upper threshold value sets excessive, then can neglect a lot in entire image
Actual edge, in actual applications, image recognition algorithm parameter is through great many of experiments or real-time full figure territory
Determine after analysis, so at the image using this image recognition algorithm parameter processing medical imaging equipment to provide
Time, the important information such as characteristic information ignoring that some trickle lesion information or tissue, say, that
The result that medical computer assistant diagnosis system identifies according to this image algorithm parameter will omit this focus
Or tissue signature, therefore, there is the technology of easily omission important information and ask in medical computer assistant diagnosis system
Topic.
Owing to medical computer assistant diagnosis system exists the technical problem of easily omission important information, so doctor
The diagnosis made according to the judged result of medical computer assistant diagnosis system of taking root the most also can be omitted important
Information, thus the disease of people can be made to obtain the effective treatment, add people and be subject to because of disease
The misery arrived.
Summary of the invention
The embodiment of the present invention, by providing a kind of computer diagnosis method and electronic equipment, solves prior art
There is the technical problem easily omitting important information in middle medical computer assistant diagnosis system.
Embodiments provide a kind of computer diagnosis method, be applied to a medical computer auxiliary diagnosis
System, described method includes: obtain the first image, and described first image is that a medical imaging device gathers
Original image；Use the first image processing algorithm that described first image is processed, it is thus achieved that the second image；
Obtain the selection operation of the second area of described second image of selection；Select operation based on described, use the
First area or the described second area of described first image are processed by two image processing algorithms, it is thus achieved that the
Three images, wherein, described second image processing algorithm differs with described first image processing algorithm, described
The second area second position on described second image and described first area are on described first image
Primary importance is corresponding；Based on described 3rd image, export a diagnostic message.
Alternatively, described first image is processed by described use the first image processing algorithm, it is thus achieved that second
Image, particularly as follows: use the image characteristics extraction algorithm with the First Eigenvalue to extract in described first image
The first image information, it is thus achieved that described second image；Or use the Edge extraction with Second Eigenvalue
Algorithm extracts the second image information in described first image, it is thus achieved that described second image.
Alternatively, at described use the second image processing algorithm first area to described first image
Reason, it is thus achieved that the 3rd image, specifically includes: use the described image characteristics extraction algorithm with third feature value
Extracting the first subimage information in described first area, described third feature value is with described the First Eigenvalue not
Identical；Believe with the image to be replaced of the second area of the second image described in described first subimage information substitution
Breath, it is thus achieved that described 3rd image；Or use the described Edge extraction algorithm with fourth feature value to extract
The second subimage information in described first area, described fourth feature value and described Second Eigenvalue not phase
With；By image information to be replaced described in described second subimage information substitution, it is thus achieved that described 3rd image.
Alternatively, described second area is processed by described second image processing algorithm of described use, it is thus achieved that
3rd image, specifically includes: use the described image characteristics extraction algorithm with fifth feature value to extract described
The 3rd subimage information in second area, described fifth feature value differs with described the First Eigenvalue；With
The image information to be replaced of the second area of the second image described in described 3rd subimage information substitution, it is thus achieved that institute
State the 3rd image；Or use the described Edge extraction algorithm with sixth feature value to extract described secondth district
The 4th subimage information in territory, described sixth feature value differs with described Second Eigenvalue；With described
Image information to be replaced described in four subimage information substitutions, it is thus achieved that described 3rd image.
Alternatively, described based on described 3rd image, export a diagnostic message, specifically include: obtain described
Image feature information in 3rd image；Described image feature information is carried out quantitative Analysis, it is thus achieved that one calculates
Result；Based on described result of calculation, export described diagnostic message.
On the other hand the embodiment of the present invention also provides for a kind of electronic equipment, and it is medical that described electronic equipment is provided with one
Computer-aided diagnosis system, described electronic equipment includes: casing；One circuit board, is arranged at described casing
In；One processor, is arranged on described circuit board, and for obtaining the first image, described first image is one
The original image that medical imaging device gathers, and use the first image processing algorithm that described first image is carried out
Process, it is thus achieved that the second image, and obtain the selection operation of the second area of described second image of a selection, and
Select operation based on described, use second image processing algorithm first area or described to described first image
Second area processes, it is thus achieved that the 3rd image, wherein, and described second image processing algorithm and described first
Image processing algorithm differs, the described second area second position on described second image and described first
Region primary importance on described first image is corresponding, and based on described 3rd image, output one diagnosis
Information.
Alternatively, described processor is specifically for using the image characteristics extraction algorithm with the First Eigenvalue to carry
Take the first image information in described first image, it is thus achieved that described second image, or use has second feature
The Edge extraction algorithm of value extracts the second image information in described first image, it is thus achieved that described second figure
Picture.
Alternatively, described processor is specifically for using the described image characteristics extraction with third feature value to calculate
Method extracts the first subimage information in described first area, described third feature value and described the First Eigenvalue
Differ, believe with the image to be replaced of the second area of the second image described in described first subimage information substitution
Breath, it is thus achieved that described 3rd image；Or use the described Edge extraction algorithm with fourth feature value to extract
The second subimage information in described first area, described fourth feature value and described Second Eigenvalue not phase
With, by image information to be replaced described in described second subimage information substitution, it is thus achieved that described 3rd image.
Alternatively, described processor is specifically for using the described image characteristics extraction with fifth feature value to calculate
Method extracts the 3rd subimage information in described second area, described fifth feature value and described the First Eigenvalue
Differ, believe with the image to be replaced of the second area of the second image described in described 3rd subimage information substitution
Breath, it is thus achieved that described 3rd image；Or use the described Edge extraction algorithm with sixth feature value to extract
The 4th subimage information in described second area, described sixth feature value and described Second Eigenvalue not phase
With, by image information to be replaced described in described 4th subimage information substitution, it is thus achieved that described 3rd image.
Alternatively, described processor is specifically for obtaining the image feature information in described 3rd image, to institute
State image feature information and carry out quantitative Analysis, it is thus achieved that a result of calculation, based on described result of calculation, export institute
State diagnostic message.
The one or more technical schemes provided in the embodiment of the present invention, at least have the following technical effect that or excellent
Point:
1, owing to have employed at the original image using the first image processing algorithm that medical imaging device is gathered
Process, it is thus achieved that after the second image, it is thus achieved that one selects the selection operation of the second area of the second image, and
Based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are carried out
Process, it is thus achieved that the 3rd image, be finally based on the 3rd image, export the technical scheme of a diagnostic message, the
The important information being missed in two images can be extracted after the process of the second image processing algorithm again
Out, so solving medical computer assistant diagnosis system existence in prior art easily omit important information
Technical problem such that it is able to provide physicians with the higher diagnostic message of accuracy, so that doctor makes accurately
Property the higher state of an illness judge.
2, owing to solving the medical computer assistant diagnosis system existence easily important letter of omission in prior art
The technical problem of breath, so what doctor made according to the diagnostic message that medical computer assistant diagnosis system exports
Diagnosis would not omit the important information in the image that medical imaging device gathers, so that the disease of people
Condition of disease accesses effective treatment, decreases the misery that people are subject to because of disease.
Accompanying drawing explanation
The flow chart of the computer diagnosis method that Fig. 1 provides for one embodiment of the invention；
Fig. 2 states, for the user that one embodiment of the invention provides, the computer diagnosis side that embodiment provides before use
The flow chart of method；
The functional block diagram of the electronic equipment that Fig. 3 provides for one embodiment of the invention.
Detailed description of the invention
The embodiment of the present invention provides a kind of computer diagnosis method and electronic equipment, solves in prior art
There is the technical problem easily omitting important information in medical computer assistant diagnosis system.
Appearance is there is in the technical scheme in the embodiment of the present invention for solving above-mentioned medical computer assistant diagnosis system
Easily omitting the technical problem of important information, general thought is as follows:
First, it is thus achieved that the first image, the first image is specially medical imaging device, such as a ultrasonic scanning
The original image that the medical imaging devices such as instrument gather；
Secondly, use the first image processing algorithm that the first image is processed, it is thus achieved that the second image；
Then, it is thus achieved that one selects the selection operation of the second area of the second image, namely the second of the second image
The important information being missed may be there is in region；
Then, based on selecting operation, use the second image processing algorithm to the first area of the first image or the
Two regions process, it is thus achieved that the 3rd image, namely the important information being missed in the second image passes through
Again extracted after the process of the second image processing algorithm；
It is finally based on the 3rd image, exports a diagnostic message.
By above-mentioned part it can be seen that using the first image processing algorithm to medical imaging owing to have employed
The original image of device collection processes, it is thus achieved that after the second image, it is thus achieved that one selects the second of the second image
The selection operation in region, and based on selecting operation, use the second image processing algorithm first to the first image
Region or second area process, it is thus achieved that the 3rd image, are finally based on the 3rd image, output one diagnosis letter
The technical scheme of breath, the important information being missed in the second image is through the place of the second image processing algorithm
Again being extracted after reason, being existed so solving medical computer assistant diagnosis system in prior art
Easily omit the technical problem of important information such that it is able to provide physicians with the higher diagnostic message of accuracy,
So that doctor makes the higher state of an illness of accuracy and judges.
Easily omit important simultaneously as solve medical computer assistant diagnosis system existence in prior art
The technical problem of information, so the diagnostic message that doctor exports according to medical computer assistant diagnosis system is made
Diagnosis would not omit the important information in the image that medical imaging device gathers, so that people
Disease can obtain the effective treatment, and decreases the misery that people are subject to because of disease.
In order to be better understood from technique scheme, below in conjunction with Figure of description and concrete embodiment party
Technique scheme is described in detail by formula.
The embodiment of the present invention provides a kind of computer diagnosis method, is applied to a medical computer auxiliary diagnosis and is
System, refer to the flow chart that Fig. 1, Fig. 1 are the computer diagnosis methods that the embodiment of the present invention provides, method
Including:
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, it is thus achieved that the second image；
S3: obtain the selection operation of the second area of selection second image；
S4: based on selecting operation, use second image processing algorithm first area or second to the first image
Region processes, it is thus achieved that the 3rd image, wherein, and the second image processing algorithm and the first image processing algorithm
Differ, on the first image first of the second area second position on the second image and first area
Put corresponding；
S5: based on the 3rd image, exports a diagnostic message.
In step sl, it is thus achieved that the first image, the first image is the original graph that a medical imaging device gathers
Picture, specifically, the first image can be ultrasonic scanner, computed tomographic scanner, x-ray scanning
The original image of the scanning patient illness part that instrument, nuclear magnetic resonance scanner etc. medical imaging equipment gathers.
In the present embodiment, ultrasonic by the breast tumor of a patient that gathers for ultrasonic scanner with the first image
Carrying out detailed citing as a example by original image to describe, certainly, in actual applications, the first image can also
It is that other medical imaging equipments of computed tomographic scanner, x-ray scanning instrument, nuclear magnetic resonance scanner etc. are adopted
The original image of collection, does not limits at this.
In step s 2, use the first image processing algorithm that the first image is processed, it is thus achieved that the second figure
Picture, specifically, may is that and use the image characteristics extraction algorithm with the First Eigenvalue to extract the first figure
The first image information in Xiang, it is thus achieved that the second image；Or use the Edge extraction with Second Eigenvalue
Algorithm extracts the second image information in the first image, it is thus achieved that the second image.
In specific implementation process, the image characteristics extraction algorithm with the First Eigenvalue is used to extract the first figure
The first image information in Xiang, it is thus achieved that the second image, can be the characteristics of image using and having the First Eigenvalue
Extraction algorithm, such as the image characteristics extraction algorithm such as wavelet transformation, Curvelet conversion, by pathological tissues or
The feature of diseased organ extracts from the first image, in the present embodiment, can be to use to have first
The image characteristics extraction algorithm of eigenvalue, by the ultrasonic original image of the breast tumor obtained in step S1
The feature of tumor tissues extract from the first image, then obtain the second image.
In actual applications, in order to obtain the second image the most clearly, the First Eigenvalue, namely image is special
Levy the first image recognition algorithm parameter of extraction algorithm, can be by great many of experiments or full figure domain analysis in real time
After determine a numerical value, the image characteristics extraction algorithm with the First Eigenvalue disclosure satisfy that whole ultrasonic former
The image characteristics extraction of beginning image, is unlikely to again to produce a large amount of pseudo-characteristic, and the occurrence of the First Eigenvalue can root
Change according to handled image and the difference of image characteristics extraction algorithm, by foregoing description, this
Technical staff belonging to field can select suitable image characteristics extraction algorithm and first according to practical situation
Eigenvalue, to meet the demand of practical situation, just repeats no more at this.
In specific implementation process, the Edge extraction algorithm with Second Eigenvalue is used to extract the first figure
The second image information in Xiang, it is thus achieved that the second image, can be the image border using and having Second Eigenvalue
Extraction algorithm, is such as that the Edge extraction such as Canny operator, Laplace operator (Laplacian) is calculated
Method, extracts the edge of pathological tissues or diseased organ from the first image, in the present embodiment, and can
To be the Edge extraction algorithm using and there is Second Eigenvalue, the breast tumor that will obtain in step S1
Ultrasonic original image in the edge of tumor tissues extract from the first image, then obtain the second figure
Picture.
In actual applications, in order to obtain the second image the most clearly, Second Eigenvalue, namely image limit
Second image recognition algorithm parameter of edge extraction algorithm, can be by great many of experiments or full figure domain analysis in real time
After determine a numerical value, the Edge extraction algorithm with Second Eigenvalue disclosure satisfy that whole ultrasonic former
The Edge extraction of beginning image, is unlikely to again to produce a large amount of pseudo-edge, and the occurrence of Second Eigenvalue can root
Change according to handled image and the difference of image characteristics extraction algorithm, by foregoing description, this
Technical staff belonging to field can select suitable Edge extraction algorithm and second according to practical situation
Eigenvalue, to meet the demand of practical situation, just repeats no more at this.
After obtaining the second image by step S2, the computer diagnosis method that the embodiment of the present invention provides
Enter step S3, it may be assumed that obtain the selection operation of the second area of selection second image.
Obtain the selection operation of the second area of selection second image, specifically, can be to obtain to use
The doctor of this medical computer assistant diagnosis system selects the selection of the second area of the second image to operate.
In actual applications, the identification of figure is had by human brain is powerful concurrent operation ability and intelligent association ability
The advantage that existing common computer is incomparable, so the full figure area image Processing Algorithm used at computer
When a certain region of image does not find pathological tissues or the marginal information of diseased organ or characteristic information
Wait, use the user of this medical computer assistant diagnosis system, namely doctor accumulates at work according to self
Experience, some doubtful diseases can be found by the powerful concurrent operation ability of brain and intelligent association ability simultaneously
Become tissue or the region of diseased organ.Now, at the electronic equipment at medical computer assistant diagnosis system place
Display screen when be touch screen, doctor can click on, also by the second area on the second image
The selection behaviour of a second area selecting the second image is i.e. have input to medical computer assistant diagnosis system
Make, certainly, the when that the display screen at this electronic equipment being common non-tactile display screen, can make
The selection completing to select the second area of the second image with mouse operates, and clicks on or mouse point at doctor's finger
The region in a certain magnitude range centered by the position hit can be as second area, this second area size
It is that those skilled in the art specifically can be arranged from the different of image processing algorithm according to image, when
So, it is also possible to be after doctor passes through finger or click one position, then adjusted the tool of second area by doctor
Body size, certainly, by foregoing description, those skilled in the art can also use according to practical situation
The mode of other suitable mode e.g. phonetic entries, have input one to medical computer assistant diagnosis system
The selection operation of the second area of individual selection the second image, to meet the needs of practical situation, at this most no longer
Repeat.
Medical computer assistant diagnosis system is by detecting the input operation of doctor, it becomes possible to get selection the
The selection operation of the second area of two images.
After obtained this selection operation by step S3, the computer diagnosis method that the embodiment of the present invention provides
Enter step S4, it may be assumed that based on selecting operation, use second image processing algorithm the firstth district to the first image
Territory or second area process, it is thus achieved that the 3rd image.
In step s 4, use the second image processing algorithm that the first area of the first image is processed,
Obtain the 3rd image, specifically, may include that and use the image characteristics extraction with third feature value to calculate
Method extracts the first subimage information in first area, and third feature value differs with the First Eigenvalue, and uses
The image information to be replaced of the second area of first subimage information substitution the second image, it is thus achieved that the 3rd image；
Or use the Edge extraction algorithm with fourth feature value to extract the second subimage letter in first area
Breath, fourth feature value differs with Second Eigenvalue, and believes with the second subimage information substitution image to be replaced
Breath, it is thus achieved that the 3rd image.
In specific implementation process, the image characteristics extraction algorithm with third feature value is used to extract the firstth district
The first subimage information in territory, third feature value differs with the First Eigenvalue, and believes with the first subimage
Breath substitutes the image information to be replaced of the second area of the second image, it is thus achieved that the 3rd image, specifically, and can
To be the images such as the image characteristics extraction algorithm using and there is third feature value, the wavelet transformation as described in aforementioned
Feature extraction algorithm extracts the first subimage information, in the present embodiment, owing to obtaining choosing in step S3
Select the selection operation of the second area of the second image, namely the experience that doctor accumulates at work according to self,
The secondth district of the second image can be found by the powerful concurrent operation ability of brain and intelligent association ability simultaneously
Territory exists some suspected lesion tissues or the region of diseased organ, so using the figure with third feature value
The first subimage information in the first area of the first image is extracted, in order to subsequent step as feature extraction algorithm
Use.
In actual applications, if in step s 2 by the image information sensitivity of image characteristics extraction algorithm
It is set to a higher value, also will the sensitivity of the first image processing algorithm improve, then second obtained
Image can find substantial amounts of noise pseudo-characteristic, thus the output of medical computer assistant diagnosis system can be reduced
The accuracy of diagnostic message, and in this step, third feature value, namely the of image characteristics extraction algorithm
Three image recognition algorithm parameters differ with the First Eigenvalue, may be such that the figure of image characteristics extraction algorithm
As information retrieval sensitivity becomes a higher eigenvalue, specifically, can be the self adaptation after adjusting
Application function after the variable weight of algorithm, replacing or the filter type after replacing etc., owing to scheming herein
As the higher image characteristics extraction algorithm of information retrieval sensitivity is just for the first area of the first image, and
And this region is the experience accumulated at work according to self by doctor, simultaneously by powerful the transporting parallel of brain
Calculation ability and intelligent association ability and find, so improve the sensitivity of image processing algorithm in this region,
Will not reduce the accuracy of diagnostic message that medical computer assistant diagnosis system provides, on the contrary it can be found that by
The important information omitted in the second image that first image is processed and obtains by the first image processing algorithm,
So that medical computer assistant diagnosis system will not omit this important information when providing diagnostic message, continue
And improve the accuracy of the diagnostic message of medical computer assistant diagnosis system output.The tool of third feature value
Body value can change, by aforementioned according to handled image and the difference of image characteristics extraction algorithm
Introducing, the technical staff belonging to this area can select suitable image characteristics extraction to calculate according to practical situation
Method and third feature value, to meet the demand of practical situation, just repeat no more at this.
In actual applications, owing to being obtained the choosing of the second area of selection second image by step S2
Select second area in operation, namely the second image and be considered problematic by doctor, so in the second image
Image information in second area is i.e. image information to be replaced.
After extracting the first subimage information, can be with the second of first subimage information substitution the second image
The image information to be replaced in region such that it is able to obtain the 3rd image, for medical computer auxiliary diagnosis be
System subsequent use.
Above-mentioned part describes in detail and uses the image characteristics extraction algorithm with third feature value to extract first
The first subimage information in the first area of image, and obtain the detailed process of the 3rd image, next
Part in, there is the Edge extraction algorithm of fourth feature value extract the of the first image by introducing to use
The process of the second subimage information in one region.
In specific implementation process, the Edge extraction algorithm with fourth feature value is used to extract the firstth district
The second subimage information in territory, fourth feature value differs with Second Eigenvalue, and believes with the second subimage
Breath substitutes image information to be replaced, it is thus achieved that the 3rd image, specifically, can be to use to have fourth feature
The Edge extraction algorithm of value, the image border such as Canny operator as described in aforementioned, Laplace operator
Extraction algorithm extracts the second subimage information, the experience that doctor accumulates at work according to self, passes through simultaneously
Concurrent operation ability that brain is powerful and intelligent association ability can find to exist in the second area of the second image
Some suspected lesion tissues or the region of diseased organ, so using the image border with fourth feature value to carry
Take algorithm and extract the second subimage information in the first area of the first image, in order to the use of subsequent step.
In actual applications, if in step s 2 by the image information sensitivity of Edge extraction algorithm
It is set to a higher value, also will the sensitivity of the first image processing algorithm improve, then second obtained
Image can find substantial amounts of noise pseudo-edge, thus the output of medical computer assistant diagnosis system can be reduced
The accuracy of diagnostic message, and in this step, fourth feature value, namely the of Edge extraction algorithm
Three image recognition algorithm parameters differ with Second Eigenvalue, may be such that the figure of Edge extraction algorithm
As information retrieval sensitivity becomes a higher eigenvalue, specifically, can be adjust Canny operator,
Threshold value after the Edge extraction algorithms such as Laplace operator etc., owing to image information is extracted sensitive herein
Spend the higher Edge extraction algorithm first area just for the first image, and this region is by curing
The raw experience accumulated at work according to self, passes through the powerful concurrent operation ability of brain and Intelligent joint simultaneously
Think that ability finds, so improve the sensitivity of image processing algorithm in this region, medical meter will not be reduced
The accuracy of the diagnostic message that calculation machine assistant diagnosis system provides, on the contrary it can be found that calculated by the first image procossing
The important information omitted in the second image that first image is processed and obtains by method, so that medical meter
Calculation machine assistant diagnosis system will not omit this important information when providing diagnostic message, then improves medical meter
The accuracy of the diagnostic message of calculation machine assistant diagnosis system output.The occurrence of fourth feature value can be according to residing
Reason image and the difference of Edge extraction algorithm and change, by foregoing description, this area institute
The technical staff belonged to can select suitable Edge extraction algorithm and fourth feature according to practical situation
Value, to meet the demand of practical situation, just repeats no more at this.
Above-mentioned introduction uses the second image processing algorithm to process the first area of the first image,
Obtain the detailed process of the 3rd image, in ensuing part, introduction is used the second image processing algorithm
Second area is processed, it is thus achieved that the process of the 3rd image.
In step s 4, use the second image processing algorithm that second area is processed, it is thus achieved that the 3rd figure
Picture, specifically, may include that and use the image characteristics extraction algorithm with fifth feature value to extract second
The 3rd subimage information in region, fifth feature value differs with the First Eigenvalue, and with the 3rd subimage
The image information to be replaced of the second area of information substitution the second image, it is thus achieved that the 3rd image；Or use has
The Edge extraction algorithm of sixth feature value extracts the 4th subimage information in second area, sixth feature
Value differs with Second Eigenvalue, and by the 4th subimage information substitution frame to be replaced information, it is thus achieved that
3rd image.
In specific implementation process, the image characteristics extraction algorithm with fifth feature value is used to extract the secondth district
The 3rd subimage information in territory, fifth feature value differs with the First Eigenvalue, and believes with the 3rd subimage
Breath substitutes the image information to be replaced of the second area of the second image, it is thus achieved that the 3rd image, specifically, and this
Step obtains the process of the 3rd image, with the image characteristics extraction algorithm that aforementioned use has third feature value
Extract the first subimage information in the first area of the first image, and with the first subimage information substitution second
The image information to be replaced of the second area of image, it is thus achieved that the process of the 3rd image is similar to, simply this step is
Extract the 3rd subimage information in the second area of the second image, and by the 3rd subimage information extracted
The image information to be replaced of the second area of the second image obtained in alternative steps S2, thus obtain the 3rd
Image, those skilled in the art can be according to the description of abovementioned steps, it is thus understood that being embodied as of this step
Process, succinct for description at this, just repeat no more.
Same, in specific implementation process, use the Edge extraction algorithm with sixth feature value to carry
Taking the 4th subimage information in second area, sixth feature value differs with Second Eigenvalue, and with the 4th
Subimage information substitution frame to be replaced information, it is thus achieved that the 3rd image, specifically, obtains in this step
Obtaining the process of the 3rd image, the Edge extraction algorithm with aforementioned use with fourth feature value extracts first
The second subimage information in region, and by the second subimage information substitution image information to be replaced, it is thus achieved that
The process of three images is similar to, the 4th subimage letter during simply this step is the second area extracting the second image
Breath, and with the second area of the second image of acquisition in the 4th subimage information substitution step S2 extracted
Image information to be replaced, thus obtain the 3rd image, those skilled in the art can be according to abovementioned steps
Description, it is thus understood that the specific implementation process of this step, succinct, at this most no longer for description at this
Repeat.
In specific implementation process, may be deposited in more than one region by the second image obtained in step S2
There iing the probability omitting important information, namely omitting the situation of important information with the presence of multiple regions, now
Medical computer assistant diagnosis system has only to obtain multiple selection and operates, the most again by corresponding on the second image
Multiple regions use the second image processing algorithm to carry out after processing substituting, just repeat no more at this
?.
In real process, the second area second position on the second image and first area are at the first image
On primary importance corresponding.
After obtaining the 3rd image by step S4, the method that the embodiment of the present invention provides enters step S5,
That is: based on the 3rd image, a diagnostic message is exported.
In step s 5, based on the 3rd image, export a diagnostic message, specifically, may include that
Obtain the image feature information in the 3rd image, and image feature information is carried out quantitative Analysis, it is thus achieved that a meter
Calculate result, and based on result of calculation, export diagnostic message.
In specific implementation process, it is thus achieved that the image feature information in the 3rd image, and to image feature information
Carry out quantitative Analysis, it is thus achieved that a result of calculation, and based on result of calculation, export diagnostic message, specifically,
Can be to extract the characteristic information in the 3rd image, and this image feature information is carried out quantitative Analysis, and root
Diagnostic message is exported according to result of calculation.
Such as, the characteristic quantification analysis of Ultrasound Image of Breast Tumor is to differentiating breast tumor specifically benign tumor
Or malignant tumor has great reference value, the database purchase in medical computer assistant diagnosis system
Benign and malignant breast tumor feature on the ultrasound image, differentiates mammary gland benign tumor and malignant tumor
Feature is on shape, edge, border, enter towards, the quantization method of the several aspect of echo characteristic and quantization parameter
Go more comprehensively mathematical statistics, obtained the image feature information of the 3rd image and it is carried out quantitative scoring
After calculation, the quantitative data that result of calculation is corresponding with data base is analyzed, thus exports diagnosis letter
Breath, this diagnostic message includes image feature information and the characteristic information of storage in data base in the 3rd image
Contrast situation, for doctor with reference to using.In the present embodiment, the second image is included due to the 3rd image
The important information of middle omission, so the image feature information in the 3rd image obtained also includes the second image
In the image feature information of important information that is missed, the image feature information of the 3rd image is carried out quantitative scoring
After calculation, diagnostic message based on result of calculation output also include important according to what the second image was missed
The diagnostic message that information is made, thus the diagnostic message accuracy exported is higher so that doctor can be more accurate
Really analyzing the state of an illness of people, the therapeutic scheme be given is the most accurate, and the disease then making people can
Obtain the effective treatment, reduce the misery that people are subject to because of disease.
Certainly, in actual applications, after obtaining the 3rd image in step s 4, before step S5, also can
3rd image use the Morphology Algorithm such as corroding and expanding fill, in order to follow-up step uses, example
As, the marginal information in the 3rd image is carried out expansion process, then refills edge, then corrode,
Thus complete a complete morphology filling algorithm, carried out for medical computer assistant diagnosis system
Analyze, then export diagnostic message.
By the description of above-mentioned part, using the first image processing algorithm to medical treatment shadow owing to have employed
As the original image of device collection processes, it is thus achieved that after the second image, it is thus achieved that one selects the of the second image
The selection operation in two regions, and based on selecting operation, use the second image processing algorithm the to the first image
One region or second area process, it is thus achieved that the 3rd image, are finally based on the 3rd image, output one diagnosis
The technical scheme of information, the important information being missed in the second image is through the second image processing algorithm
Again being extracted after process, being deposited so solving medical computer assistant diagnosis system in prior art
In the technical problem easily omitting important information such that it is able to provide physicians with accuracy higher diagnosis letter
Breath, so that doctor makes the higher state of an illness of accuracy and judges.
Easily omit important simultaneously as solve medical computer assistant diagnosis system existence in prior art
The technical problem of information, so the diagnostic message that doctor exports according to medical computer assistant diagnosis system is made
Diagnosis would not omit the important information in the image that medical imaging device gathers, so that people
Disease can obtain the effective treatment, and decreases the misery that people are subject to because of disease.
In previous embodiment, it is to stand in this side of medical computer assistant diagnosis system to describe the present invention in fact
Execute the computer diagnosis method that example provides, in ensuing embodiment, user will be stood in, namely doctor
Angle describes the computer diagnosis method that the embodiment of the present invention provides.
Refer to Fig. 2, Fig. 2 is the user that the embodiment of the present invention provides, namely doctor is using the present invention real
Flow chart during the computer diagnosis method of example offer is provided.As in figure 2 it is shown, doctor's bag when using the method
Include following steps:
S21: judge that the region whether having suspected lesion tissue or diseased organ on the second image is undiscovered,
Specifically, the experience that i.e. doctor accumulates at work according to self, simultaneously by powerful the transporting parallel of brain
Calculation ability and intelligent association ability, it is judged that on the second image, whether have suspected lesion tissue or diseased organ
Region is undiscovered.
S22: when having suspected lesion tissue or diseased organ undiscovered on the second area of the second image,
The selection operation of the second area of input one selection the second image, specifically, judges the most in the step s 21
When having suspected lesion tissue or diseased organ undiscovered on the second area of the second image, in medical calculating
The when that the display screen of the electronic equipment at machine assistant diagnosis system place being touch screen, doctor can be second
Second area on image is clicked on, and certainly, the display screen at this electronic equipment is common non-tactile
The when of display screen, it is possible to use mouse completes to select the selection of the second area of the second image to operate,
The region in a certain magnitude range centered by the position of the click of doctor's finger or click can conduct
Second area, this second area size is that those skilled in the art can be according to image and image processing algorithm
Difference and arrange, it is of course also possible to be after doctor passes through finger or click one position, then by curing
The raw specific size adjusting second area, just repeats no more at this.
S23: obtain the diagnostic message of medical computer assistant diagnosis system output, specifically, the most medical
Computer-aided diagnosis system is in the selection operation of the second area of selection the second image obtaining doctor's input
After, according to this selection operation, the second image or the first image are processed accordingly, concrete processing procedure
Ask for an interview the above-mentioned description part to computer diagnosis method, then export diagnostic message.
By above-mentioned part it can be seen that due to doctor judge to have on the second image suspected lesion tissue or
When the region of diseased organ is undiscovered, inputs selection by doctor and operate at again to the second image
Reason, medical computer assistant diagnosis system is according to the second image output diagnostic message after processing then, thus
What doctor obtained is the higher diagnostic message of accuracy, then can make accuracy according to this diagnostic message
The higher state of an illness judges.
Simultaneously as doctor is according to this diagnostic message, be made that the higher state of an illness of accuracy judges, institute so that
The disease obtaining people can obtain the effective treatment, and decreases the misery that people are subject to because of disease.
Based on same inventive concept, the embodiment of the present invention also provides for a kind of electronic equipment, in actual applications,
This electronic equipment can be desktop computer, it is also possible to be notebook computer, it is also possible to be that the electronics such as work station set
Standby, do not limit at this.
Refer to the functional block diagram that Fig. 3, Fig. 3 are the electronic equipments that the embodiment of the present invention provides, this electronics
Equipment is provided with a medical computer assistant diagnosis system, and this electronic equipment includes: casing 301；Circuit board
302, it is arranged in casing 301；Processor 303, is arranged on circuit board 302, for obtaining the first figure
Picture, the first image is the original image that a medical imaging device gathers, and uses the first image processing algorithm pair
First image processes, it is thus achieved that the second image, and obtains the selection of the second area of selection second image
Operation, and based on selecting operation, use second image processing algorithm first area or second to the first image
Region processes, it is thus achieved that the 3rd image, wherein, and the second image processing algorithm and the first image processing algorithm
Differ, on the first image first of the second area second position on the second image and first area
Put corresponding, and based on the 3rd image, export a diagnostic message.
In specific implementation process, processor 303 has the characteristics of image of the First Eigenvalue specifically for using
Extraction algorithm extracts the first image information in the first image, it is thus achieved that the second image, or use has the second spy
The Edge extraction algorithm of value indicative extracts the second image information in the first image, it is thus achieved that the second image.
In specific implementation process, processor 303 has the characteristics of image of third feature value specifically for using
Extraction algorithm extracts the first subimage information in first area, third feature value and the First Eigenvalue not phase
With, by the image information to be replaced of the second area of first subimage information substitution the second image, it is thus achieved that the 3rd
Image；Or use the Edge extraction algorithm with fourth feature value to extract the second subgraph in first area
As information, fourth feature value differs with Second Eigenvalue, with the second subimage information substitution image to be replaced
Information, it is thus achieved that the 3rd image.
In specific implementation process, processor 303 has the characteristics of image of fifth feature value specifically for using
Extraction algorithm extracts the 3rd subimage information in second area, fifth feature value and the First Eigenvalue not phase
With, by the image information to be replaced of the second area of the 3rd subimage information substitution the second image, it is thus achieved that the 3rd
Image；Or use the Edge extraction algorithm with sixth feature value to extract the 4th subgraph in second area
As information, sixth feature value differs with Second Eigenvalue, with the 4th subimage information substitution image to be replaced
Information, it is thus achieved that the 3rd image.
In specific implementation process, processor 303 specifically for obtaining the image feature information in the 3rd image,
Image feature information is carried out quantitative Analysis, it is thus achieved that a result of calculation, based on result of calculation, output diagnosis letter
Breath.
Electronic equipment in the present embodiment is based on same with the computer diagnosis method in previous embodiment
Two aspects under bright design, are described in detail the implementation process of method the most, so this
Skilled person can be according to the structure of the electronic equipment being apparent from the present embodiment described above and reality
Execute process, succinct for description, just repeat no more at this.
Technical scheme in the invention described above embodiment, at least has the following technical effect that or advantage:
1, owing to have employed at the original image using the first image processing algorithm that medical imaging device is gathered
Process, it is thus achieved that after the second image, it is thus achieved that one selects the selection operation of the second area of the second image, and
Based on selecting operation, use the second image processing algorithm that first area or the second area of the first image are carried out
Process, it is thus achieved that the 3rd image, be finally based on the 3rd image, export the technical scheme of a diagnostic message, the
The important information being missed in two images can be extracted after the process of the second image processing algorithm again
Out, so solving medical computer assistant diagnosis system existence in prior art easily omit important information
Technical problem such that it is able to provide physicians with the higher diagnostic message of accuracy, so that doctor makes accurately
Property the higher state of an illness judge.
2, owing to solving the medical computer assistant diagnosis system existence easily important letter of omission in prior art
The technical problem of breath, so what doctor made according to the diagnostic message that medical computer assistant diagnosis system exports
Diagnosis would not omit the important information in the image that medical imaging device gathers, so that the disease of people
Condition of disease accesses effective treatment, decreases the misery that people are subject to because of disease.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or meter
Calculation machine program product.Therefore, the present invention can use complete hardware embodiment, complete software implementation or knot
The form of the embodiment in terms of conjunction software and hardware.And, the present invention can use and wherein wrap one or more
Computer-usable storage medium containing computer usable program code (include but not limited to disk memory,
CD-ROM, optical memory etc.) form of the upper computer program implemented.
The present invention is with reference to method, equipment (system) and computer program product according to embodiments of the present invention
The flow chart of product and/or block diagram describe.It should be understood that can by computer program instructions flowchart and
/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/
Or the combination of square frame.These computer program instructions can be provided to general purpose computer, special-purpose computer, embedding
The processor of formula datatron or other programmable data processing device is to produce a machine so that by calculating
The instruction that the processor of machine or other programmable data processing device performs produces for realizing at flow chart one
The device of the function specified in individual flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and computer or the process of other programmable datas can be guided to set
In the standby computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Instruction produce and include the manufacture of command device, this command device realizes in one flow process or multiple of flow chart
The function specified in flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the instruction performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification without deviating from this to the present invention
Bright spirit and scope.So, if the present invention these amendment and modification belong to the claims in the present invention and
Within the scope of its equivalent technologies, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a computer diagnosis method, is applied to a medical computer assistant diagnosis system, and its feature exists
In, described method includes:
Obtaining the first image, described first image is the original image that a medical imaging device gathers；
Use the first image processing algorithm that described first image is processed, it is thus achieved that the second image；
Detection obtains the selection operation that a user selects the second area of described second image；
Select operation based on described, use the second image processing algorithm to the first area of described first image or
Described second area processes, it is thus achieved that the 3rd image, and wherein, described second image processing algorithm is with described
First image processing algorithm differs, and the described second area second position on described second image is with described
First area primary importance on described first image is corresponding；
Based on described 3rd image, export a diagnostic message.
2. the method for claim 1, it is characterised in that described use the first image processing algorithm
Described first image is processed, it is thus achieved that the second image, particularly as follows:
The image characteristics extraction algorithm with the First Eigenvalue is used to extract the first figure in described first image
As information, it is thus achieved that described second image；Or
The Edge extraction algorithm with Second Eigenvalue is used to extract the second figure in described first image
As information, it is thus achieved that described second image.
3. method as claimed in claim 2, it is characterised in that described use the second image processing algorithm
The first area of described first image is processed, it is thus achieved that the 3rd image, specifically includes:
The described image characteristics extraction algorithm with third feature value is used to extract in described first area the
One subimage information, described third feature value differs with described the First Eigenvalue；
By the image information to be replaced of the second area of the second image described in described first subimage information substitution,
Obtain described 3rd image；Or
The described Edge extraction algorithm with fourth feature value is used to extract in described first area the
Two subimage information, described fourth feature value differs with described Second Eigenvalue；
By image information to be replaced described in described second subimage information substitution, it is thus achieved that described 3rd image.
4. method as claimed in claim 2, it is characterised in that described second image procossing of described use
Described second area is processed by algorithm, it is thus achieved that the 3rd image, specifically includes:
The described image characteristics extraction algorithm with fifth feature value is used to extract in described second area the
Three subimage information, described fifth feature value differs with described the First Eigenvalue；
By the image information to be replaced of the second area of the second image described in described 3rd subimage information substitution,
Obtain described 3rd image；Or
The described Edge extraction algorithm with sixth feature value is used to extract in described second area the
Four subimage information, described sixth feature value differs with described Second Eigenvalue；
By image information to be replaced described in described 4th subimage information substitution, it is thus achieved that described 3rd image.
5. the method as described in claim as arbitrary in claim 1-4, it is characterised in that described based on described
Three images, export a diagnostic message, specifically include:
Obtain the image feature information in described 3rd image；
Described image feature information is carried out quantitative Analysis, it is thus achieved that a result of calculation；
Based on described result of calculation, export described diagnostic message.
6. an electronic equipment, described electronic equipment is provided with a medical computer assistant diagnosis system, its
Being characterised by, described electronic equipment includes:
Casing；
One circuit board, is arranged in described casing；
One processor, is arranged on described circuit board, and for obtaining the first image, described first image is one
The original image that medical imaging device gathers, and use the first image processing algorithm that described first image is carried out
Process, it is thus achieved that the second image, and obtain the selection operation of the second area of described second image of a selection, and
Select operation based on described, use second image processing algorithm first area or described to described first image
Second area processes, it is thus achieved that the 3rd image, wherein, and described second image processing algorithm and described first
Image processing algorithm differs, the described second area second position on described second image and described first
Region primary importance on described first image is corresponding, and based on described 3rd image, output one diagnosis
Information.
7. electronic equipment as claimed in claim 6, it is characterised in that described processor is specifically for making
The first image information in described first image is extracted with the image characteristics extraction algorithm with the First Eigenvalue,
Obtain described second image, or use the Edge extraction algorithm with Second Eigenvalue to extract described first
The second image information in image, it is thus achieved that described second image.
8. electronic equipment as claimed in claim 7, it is characterised in that described processor is specifically for making
The first subgraph in described first area is extracted with the described image characteristics extraction algorithm with third feature value
As information, described third feature value differs with described the First Eigenvalue, replaces by described first subimage information
Image information to be replaced for the second area of described second image, it is thus achieved that described 3rd image；Or make apparatus
The described Edge extraction algorithm having fourth feature value extracts the second subimage letter in described first area
Breath, described fourth feature value differs with described Second Eigenvalue, with described second subimage information substitution institute
State image information to be replaced, it is thus achieved that described 3rd image.
9. electronic equipment as claimed in claim 7, it is characterised in that described processor is specifically for making
The 3rd subgraph in described second area is extracted with the described image characteristics extraction algorithm with fifth feature value
As information, described fifth feature value differs with described the First Eigenvalue, replaces by described 3rd subimage information
Image information to be replaced for the second area of described second image, it is thus achieved that described 3rd image；Or make apparatus
The described Edge extraction algorithm having sixth feature value extracts the 4th subimage letter in described second area
Breath, described sixth feature value differs with described Second Eigenvalue, with described 4th subimage information substitution institute
State image information to be replaced, it is thus achieved that described 3rd image.
10. the electronic equipment as described in claim as arbitrary in claim 6-9, it is characterised in that described processor
Specifically for obtaining the image feature information in described 3rd image, described image feature information is carried out quantitatively
Calculate, it is thus achieved that a result of calculation, based on described result of calculation, export described diagnostic message.
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