CN103761705B - Ultrasonic image magnifying method and device - Google Patents

Ultrasonic image magnifying method and device Download PDF

Info

Publication number
CN103761705B
CN103761705B CN201410013256.6A CN201410013256A CN103761705B CN 103761705 B CN103761705 B CN 103761705B CN 201410013256 A CN201410013256 A CN 201410013256A CN 103761705 B CN103761705 B CN 103761705B
Authority
CN
China
Prior art keywords
image data
black white
data
white image
color
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201410013256.6A
Other languages
Chinese (zh)
Other versions
CN103761705A (en
Inventor
肖均文
魏世宇
杨力
朱春鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing East Whale Image Technology Co Ltd
Original Assignee
Beijing East Whale Image Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing East Whale Image Technology Co Ltd filed Critical Beijing East Whale Image Technology Co Ltd
Priority to CN201410013256.6A priority Critical patent/CN103761705B/en
Publication of CN103761705A publication Critical patent/CN103761705A/en
Application granted granted Critical
Publication of CN103761705B publication Critical patent/CN103761705B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Image Processing (AREA)
  • Editing Of Facsimile Originals (AREA)

Abstract

The invention discloses a kind of ultrasonic image magnifying method and device.Wherein, the method includes: obtain the first black white image data and the first color image data according to discarded the counting that image magnification parameter is removed in initial black white image data and initial color image data respectively;First black white image data and the first color image data are carried out down-sampled computing according to respective down-sampled rate respectively, obtains the second black white image data and the second color image data;Second black white image data and the second color image data are carried out data scanning Coordinate Conversion respectively and obtains target black white image data and targeted color view data;Use MAP table that target black white image data and targeted color view data are converted to target black white image and targeted color image.By the present invention, solve the problem that image effect in prior art is poor, resolution is low, it is achieved that black white image is consistent with the method multiple of coloured image, the effect that amplification effect is consistent.

Description

Ultrasonic image magnifying method and device
Technical field
The present invention relates to image processing field, in particular to a kind of ultrasonic image magnifying method and device.
Background technology
Ultrasound imaging procedure is a real-time process, and data produce, all in real time one by one for realtime imaging Image, we can accomplish that local is amplified in real time, facilitate doctor preferably to see axis information, facilitate diagnosis;Pass The amplification of system meaning, is according to the multiple amplified, determines effective range, then adjust dot spacing and the distance between centers of tracks of a two field picture, Reach amplification effect.This traditional amplification mode, in a pocket, effective information does not change, and therefore, works as amplification Time the biggest, dot spacing and distance between centers of tracks are the biggest, and image information is not enriched, and after interpolation, distortion is bigger.
Prior art can also utilize the characteristic of ultrasonic realtime imaging, in the case of ultrasonic realtime imaging, by changing The method of down-sampled interpolation multiple, the information making amplification following is released some relative to Same Physical scope more, is done slotting the most again Value is amplified, but for the B image of color ultrasound and C image, is all independent control, amplifies and controls do not have substantive contact below.
Before the defect of prior art is by amplifying, entering after amplifying, the down-sampled rate of B, C changes independent, before amplifying and After amplification, the actually active information scaling multiple of B and C image does not has necessary connection, reflection some difference to image effect;This Plant independent regulation mode, also can complicate processing and amplifying flow process.
Amplification for the black white image in ultrasonoscopy in prior art and coloured image is inconsistent, thus causes The problem that image effect is poor, resolution is low, the most not yet proposes effective solution.
Summary of the invention
Amplification for the black white image in correlation technique ultrasonoscopy and coloured image is inconsistent, thus causes figure Picture weak effect, the problem that resolution is low, the most not yet propose effective solution, to this end, present invention is primarily targeted at There is provided a kind of ultrasonic image magnifying method and device, to solve the problems referred to above.
To achieve these goals, according to an aspect of the invention, it is provided a kind of ultrasonic image magnifying method, the party Method includes: discarded count according to what image magnification parameter was removed in initial black white image data and initial color image data respectively Obtain the first black white image data and the first color image data;First black white image data and the first color image data are divided Do not carry out down-sampled computing according to respective down-sampled rate, obtain the second black white image data and the second color image data;Right Second black white image data and the second color image data carry out data scanning Coordinate Conversion respectively and obtain target black white image number According to targeted color view data;Use MAP table that target black white image data and targeted color view data are converted to target Black white image and targeted color image.
Further, remove respectively in initial black white image data and initial color image data according to image magnification parameter Discarded counting obtain the step of the first black white image data and the first color image data and include: obtain image magnification parameter Initial depth parameter;Discarded counting is calculated according to initial depth parameter;Respectively at initial black white image data and starting color figure The first black white image data and the first color image data is obtained as data are removed the discarded data counted.
Further, calculate the discarded step counted according to initial depth parameter to include: use the first formula to calculate discarded Count CutPointNum, and wherein, the first formula is: ZoomUpDepth is initial depth parameter, and Rate is AD sample frequency, and V is sound spread speed in the tissue, MaxUploadNum1 is that the first of initial black white image data are uploaded and counted.
Further, the first black white image data and the first color image data are entered according to respective down-sampled rate respectively The down-sampled computing of row, the step obtaining the second black white image data and the second color image data includes: obtain the first artwork master The first down-sampled rate and the second down-sampled rate of the first color image data as data;By the first black white image data according to One down-sampled rate carries out down-sampled computing, obtains the second black white image data;And by the first color image data according to second Down-sampled rate carries out down-sampled computing, obtains the second color image data.
Further, the first down-sampled rate of the first black white image data and the second fall of the first color image data are obtained The step of sample rate includes: read depth parameter from raw image data;Obtain the first of initial black white image data to upload Count and second the uploading and count of initial color image data;The second formula is used to calculate the first down-sampled rate Sr1, the second formula For:ZoomHeight is that the amplification in image magnification parameter is high Degree, Rate is AD sample frequency, and V is sound spread speed in the tissue, and MaxUploadNum1 is first to upload and count;Make Calculating the second down-sampled rate Sr2 with the 3rd formula, the 3rd formula is: ZoomHeight is for amplifying height, and Rate is AD sample frequency, and V is sound spread speed in the tissue, MaxUploadNum1 Being first to upload and count, MaxUploadNum2 is second to upload and count.
Further, the second black white image data and the second color image data are carried out data scanning Coordinate Conversion respectively The step obtaining target black white image data and targeted color view data includes: redefine DSC according to image magnification parameter Interpolation coefficient table;Use the coordinate data in DSC interpolation coefficient table that the second black white image data are carried out data scanning coordinate to turn Get target black white image data in return;And use the coordinate data in DSC interpolation coefficient table that the second color image data is entered Row data scanning coordinate is converted to targeted color view data.
Further, use the coordinate data in DSC interpolation coefficient table that the second color image data is carried out data scanning Coordinate Conversion obtains the step of targeted color view data and includes: obtain sampling scope;Remove position in the second color image data In sampling extraneous data, the second color image data after being processed;Use the coordinate data in DSC interpolation coefficient table The second color image data after processing is carried out data scanning Coordinate Conversion and obtains targeted color view data.
To achieve these goals, according to a further aspect in the invention, it is provided that a kind of ultrasonoscopy amplifying device, this dress Put and include: remove module, for removing initial black white image data and initial color image number respectively according to image magnification parameter Discarded counting according to obtains the first black white image data and the first color image data;Computing module, for by the first black and white View data and the first color image data carry out down-sampled computing according to respective down-sampled rate respectively, obtain the second artwork master As data and the second color image data;Coordinate transferring, for the second black white image data and the second coloured image number Target black white image data and targeted color view data is obtained according to carrying out data scanning Coordinate Conversion respectively;Image modulus of conversion Block, is used for using MAP table that target black white image data and targeted color view data are converted to target black white image and target Coloured image.
Further, remove module and include: the first acquisition module, for obtaining the initial depth ginseng of image magnification parameter Number;First calculating sub module, for calculating discarded counting according to initial depth parameter;First removes submodule, for existing respectively Initial black white image data and initial color image data are removed the discarded data counted obtain the first black white image data and First color image data.
Further, computing module includes: the second acquisition module, adopts for obtaining the first fall of the first black white image data Sample rate and the second down-sampled rate of the first color image data;Second calculating sub module, for pressing the first black white image data Carry out down-sampled computing according to the first down-sampled rate, obtain the second black white image data;And the 3rd calculating sub module, for by the One color image data carries out down-sampled computing according to the second down-sampled rate, obtains the second color image data.
Further, coordinate transferring includes: processing module, inserts for redefining DSC according to image magnification parameter Value coefficient table;First Coordinate Conversion submodule, for using the coordinate data in DSC interpolation coefficient table to the second black white image number Target black white image data are obtained according to carrying out data scanning Coordinate Conversion;And the second Coordinate Conversion submodule, it is used for using DSC Coordinate data in interpolation coefficient table carries out data scanning Coordinate Conversion to the second color image data and obtains targeted color image Data.
Further, the second Coordinate Conversion submodule includes: the 3rd acquisition module, is used for obtaining sampling scope;Second goes Except submodule, being positioned at the extraneous data of sampling for removing in the second color image data, second after being processed is colored View data;3rd Coordinate Conversion submodule, for using the coordinate data in DSC interpolation coefficient table color to second after processing Color image data carry out data scanning Coordinate Conversion and obtain targeted color view data.
By the present invention, before the black white image in ultrasonoscopy and coloured image are amplified, use and remove module root Discarded the counting removed respectively in initial black white image data and initial color image data according to image magnification parameter obtains first Black white image data and the first color image data, then use computing module by the first black white image data and the first cromogram As data carry out down-sampled computing according to respective down-sampled rate respectively, obtain the second black white image data and the second coloured image Data, and by coordinate transferring, the second black white image data and the second color image data are carried out data scanning seat respectively Mark is converted to target black white image data and targeted color view data, then will by image conversion module use MAP table Target black white image data and targeted color view data are converted to target black white image and targeted color image, such that it is able to will Coloured image and black white image in ultrasonoscopy are amplified, and in the above embodiment of the present invention, amplify ginseng according to image What number eliminated in black white image data and initial color image data discarded counts, and respectively according to according to each (first Black white image data and the first color image data) down-sampled rate carry out down-sampled computing, with the artwork master to ultrasonoscopy Picture and coloured image are amplified, so that before the reusability of black white image and coloured image is high, and black white image amplifies Down-sampled change multiple before and after amplifying with coloured image afterwards is basically identical, amplification effect also tends to consistent, thus solves In prior art, the amplification of the black white image in ultrasonoscopy and coloured image is inconsistent, thus cause image effect poor, The method multiple of the problem that resolution is low, it is achieved that when being amplified ultrasonoscopy, black white image and coloured image is consistent, puts Big effect is consistent, so that the effect that the variation tendency after ultrasonoscopy amplification synchronizes.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this Bright schematic description and description is used for explaining the present invention, is not intended that inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the structural representation of ultrasonoscopy amplifying device according to embodiments of the present invention;
Fig. 2 is the flow chart of ultrasonic image magnifying method according to embodiments of the present invention;And
Fig. 3 is the flow chart of the ultrasonic image magnifying method according to embodiment illustrated in fig. 2.
Detailed description of the invention
It should be noted that in the case of not conflicting, the embodiment in the application and the feature in embodiment can phases Combination mutually.Describe the present invention below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
Fig. 1 is the structural representation of ultrasonoscopy amplifying device according to embodiments of the present invention.As it is shown in figure 1, this device May include that removal module 10, for removing initial black white image data and starting color figure respectively according to image magnification parameter As discarded the counting in data obtains the first black white image data and the first color image data;Computing module 30, for by the One black white image data and the first color image data carry out down-sampled computing according to respective down-sampled rate respectively, obtain second Black white image data and the second color image data;Coordinate transferring 50, for color to the second black white image data and second Color image data carry out data scanning Coordinate Conversion respectively and obtain target black white image data and targeted color view data;Image Modular converter 70, is used for using MAP table that target black white image data and targeted color view data are converted to target artwork master Picture and targeted color image.
Use the present invention, before the black white image in ultrasonoscopy and coloured image are amplified, use and remove module root Discarded the counting removed respectively in initial black white image data and initial color image data according to image magnification parameter obtains first Black white image data and the first color image data, then use computing module by the first black white image data and the first cromogram As data carry out down-sampled computing according to respective down-sampled rate respectively, obtain the second black white image data and the second coloured image Data, and by coordinate transferring, the second black white image data and the second color image data are carried out data scanning seat respectively Mark is converted to target black white image data and targeted color view data, then will by image conversion module use MAP table Target black white image data and targeted color view data are converted to target black white image and targeted color image, such that it is able to will Coloured image and black white image in ultrasonoscopy are amplified, and in the above embodiment of the present invention, amplify ginseng according to image What number eliminated in black white image data and initial color image data discarded counts, and respectively according to according to each (first Black white image data and the first color image data) down-sampled rate carry out down-sampled computing, with the artwork master to ultrasonoscopy Picture and coloured image are amplified, so that before the reusability of black white image and coloured image is high, and black white image amplifies Down-sampled change multiple before and after amplifying with coloured image afterwards is basically identical, amplification effect also tends to consistent, thus solves In prior art, the amplification of the black white image in ultrasonoscopy and coloured image is inconsistent, thus cause image effect poor, The method multiple of the problem that resolution is low, it is achieved that when being amplified ultrasonoscopy, black white image and coloured image is consistent, puts Big effect is consistent, so that the effect that the variation tendency after ultrasonoscopy amplification synchronizes.
Wherein, the MAP table in above-described embodiment is RGB data concordance list (RGB MAP), is one and pre-defines The length of RGB table, such as this table can be 256, the data of in store different gray scales and RGB data in this RGB data concordance list Between corresponding relation, after the pixel obtaining target image, it is possible to obtained each picture in target image by this table The RGB data of element, then directly displays RGB data by display thus target image.
The DSC difference coefficient table design of black white image and coloured image is basically identical, and simply parameter is different, in above-mentioned enforcement In example in the above-described embodiments, when black white image and coloured image are processed, due to black white image and coloured image The design of DSC difference coefficient table is basically identical, therefore can be with multiplexing DSC difference coefficient table, so that black white image and cromogram The reusability of picture is high.In the above embodiment of the present invention, after getting initial ultrasound image, from initial ultrasound image Extract black white image and coloured image, respectively black white image and coloured image are carried out orthogonal data and be converted to initial artwork master As data and initial color image data, then to black on the basis of initial black white image data and initial color image data White image and coloured image are amplified.
According to the abovementioned embodiments of the present invention, remove module 10 and may include that the first acquisition module, be used for obtaining image and put The initial depth parameter of big parameter;First calculating sub module, for calculating discarded counting according to initial depth parameter;First removes Submodule, obtains for removing the discarded data counted respectively in initial black white image data and initial color image data One black white image data and the first color image data.
In the above embodiment of the present invention, computing module 30 may include that the second acquisition module, black for obtaining first First down-sampled rate of white view data and the second down-sampled rate of the first color image data;Second calculating sub module, is used for First black white image data are carried out down-sampled computing according to the first down-sampled rate, obtains the second black white image data;And the Three calculating sub module, for the first color image data is carried out down-sampled computing according to the second down-sampled rate, obtain second color Color image data.
According to the abovementioned embodiments of the present invention, coordinate transferring 50 may include that processing module, for putting according to image Big parameter redefines DSC interpolation coefficient table;First Coordinate Conversion submodule, for using the coordinate in DSC interpolation coefficient table Data carry out data scanning Coordinate Conversion to the second black white image data and obtain target black white image data;And second coordinate turn Change submodule, for using the coordinate data in DSC interpolation coefficient table that the second color image data is carried out data scanning coordinate It is converted to targeted color view data.
Specifically, the second Coordinate Conversion submodule may include that the 3rd acquisition module, is used for obtaining sampling scope;Second Removing submodule, be positioned at the extraneous data of sampling for removing in the second color image data, second after being processed is color Color image data;3rd Coordinate Conversion submodule, for using the coordinate data in DSC interpolation coefficient table to second after processing Color image data carries out data scanning Coordinate Conversion and obtains targeted color view data.
Specifically, the first down-sampled rate of the first black white image data, by the amplification height and first of image magnification parameter Upload decision of counting (the such as first maximum upload count 1000), when the first down-sampled rate calculated is less than 1, be arranged to 1, this Sample amplifies uploading of calculating below, and to count be close to 1000;Second down-sampled rate of the first color image data, is amplified by image (such as second upload count be 800) is uploaded and counted and determine to the amplification height of parameter and second, when the second down-sampled rate calculated During less than 1, it is arranged to 1, when amplification range (this amplification range is determined by image magnification parameter) does not changes, the second down-sampled rate Will not change, and C uploading in the range of whole B is counted close to 800.
Amplifying more specifically, initial black white image data can be cut down before black white image is carried out down-sampled computing Extraneous discarding is counted, and wherein, cuts the amplification coboundary depth parameter that point range is the amplification range to black white image corresponding Count, the coloured image in ultrasonoscopy can be done twice in the present embodiment and cut down point of rejection, for the first time can be right Before it carries out down-sampled computing, it cuts point range is the point corresponding to the amplification range coboundary depth parameter of black white image Number, discarded the counting therefore cut down for the first time is not moved according to the sampling frame of coloured image and is changed, only with whole black white image Amplification range relevant;Second time can go to take number of effective points by sampling scope before coloured image is carried out DSC computing, goes Except determine because of sampling scope discarded counts, then the DSC interpolation coefficient table of the second color image data can be put above-mentioned Interior do, effectively maintain B, C signal processes concordance.
In the above embodiment of the present invention, after the first down-sampled rate of acquisition and the second down-sampled rate, according to black and white The effective range (this effective range is above-mentioned amplification range) of image completes modulation /demodulation and processes, and then looks into DSC interpolation coefficient Table, completes DSC and image shows;Two for coloured image, then the effective range at coloured image completes modulation /demodulation process, Then look into DSC interpolation coefficient table, complete DSC and image shows.Wherein, the effective range of coloured image is: sampling frame determines Sampling scope, can be completed according to the coboundary degree of depth of the coboundary of sampling frame to black white image and sampling frame height Abandoning of secondary waste point is modulated demodulation process afterwards, and looks into DSC interpolation coefficient table, completes DSC and image shows.
In the above embodiment of the present invention, the amplification to ultrasonoscopy takes into full account down-sampled characteristic, is dropped by change Sample rate, obtains more rich point information, and, under ultrasonoscopy magnifying state, utilize coloured image and black white image Upload by fixing maximum in same effective range and count, can effectively simplify design, and beneficially coloured image and black and white Image effective information synchronizes so that the coloured image of amplification is front with the effective information multiple proportion of black white image and amplification consistent, Variation effect synchronizes so that the ultrasonoscopy resolution after amplification is high.
Fig. 2 is the flow chart of ultrasonic image magnifying method according to embodiments of the present invention, and Fig. 3 is to implement according to shown in Fig. 2 The flow chart of the ultrasonic image magnifying method of example.
The method comprises the steps: as shown in Figures 2 and 3
Step S102, removes in initial black white image data and initial color image data respectively according to image magnification parameter Discarded counting obtain the first black white image data and the first color image data.
First black white image data and the first color image data are entered by step S104 respectively according to respective down-sampled rate The down-sampled computing of row, obtains the second black white image data and the second color image data.
Second black white image data and the second color image data are carried out data scanning Coordinate Conversion by step S106 respectively Obtain target black white image data and targeted color view data.
Step S108, uses MAP table that target black white image data and targeted color view data are converted to target black and white Image and targeted color image.
Use the present invention, before the black white image in ultrasonoscopy and coloured image are amplified, amplify ginseng according to image Discarded the counting that number is removed in initial black white image data and initial color image data respectively obtains the first black white image data With the first color image data, then the first black white image data and the first color image data are adopted according to respective fall respectively Sample rate carries out down-sampled computing, obtains the second black white image data and the second color image data, and to the second black white image number Target black white image data and targeted color figure is obtained according to carrying out data scanning Coordinate Conversion respectively with the second color image data As data, then use MAP table target black white image data and targeted color view data are converted to target black white image and Targeted color image, such that it is able to the coloured image in ultrasonoscopy and black white image are amplified, above-mentioned in the present invention In embodiment, discarded count according to what image magnification parameter eliminated in black white image data and initial color image data, and And carry out down-sampled fortune according to according to the down-sampled rate of each (the first black white image data and the first color image data) respectively Calculate, so that the black white image of ultrasonoscopy and coloured image are amplified, so that black white image and the multiplexing of coloured image Down-sampled change multiple before and after rate is high, and black white image amplifies and before and after coloured image amplification is basically identical, amplification effect On also tend to consistent, thus the amplification of the black white image solved in prior art in ultrasonoscopy and coloured image differs Cause, thus cause the problem that image effect is poor, discrimination is low, it is achieved that when ultrasonoscopy is amplified, black white image and coloured silk The method multiple of color image is consistent, and amplification effect is consistent, thus improves the resolution of image so that the change after ultrasonoscopy amplification The effect that change trend synchronizes.
Wherein, the MAP table in above-described embodiment is RGB data concordance list (RGB MAP), is one and pre-defines The length of RGB table, such as this table can be 256, the data of in store different gray scales and RGB data in this RGB data concordance list Between corresponding relation, after the pixel obtaining target image, it is possible to obtained each picture in target image by this table The RGB data of element, then directly displays RGB data by display thus target image.
The DSC difference coefficient table design of black white image and coloured image is basically identical, and simply parameter is different, in above-mentioned enforcement In example in the above-described embodiments, when black white image and coloured image are processed, due to black white image and coloured image The design of DSC difference coefficient table is basically identical, therefore can be with multiplexing DSC difference coefficient table, so that black white image and cromogram The reusability of picture is high.
According to the abovementioned embodiments of the present invention, initial black white image data are removed respectively according to image magnification parameter with initial Discarded in color image data is counted and obtains the step of the first black white image data and the first color image data and may include that Obtain the initial depth parameter of image magnification parameter;Discarded counting is calculated according to initial depth parameter;Respectively at initial artwork master The first black white image data and the first cromogram is obtained as data and initial color image data are removed the discarded data counted As data.
Specifically, calculate the discarded step counted according to initial depth parameter and may include that use the first formula calculating is useless Abandoning the CutPointNum that counts, wherein, the first formula is:
ZoomUpDepth is initial depth parameter, and Rate is AD sample frequency, and V is sound spread speed in the tissue, MaxUploadNum1 is that the first of initial black white image data are uploaded and counted.
According to the abovementioned embodiments of the present invention, by the first black white image data and the first color image data respectively according to respectively From down-sampled rate carry out down-sampled computing, the step obtaining the second black white image data and the second color image data can be wrapped Include: obtain the first down-sampled rate of the first black white image data and the second down-sampled rate of the first color image data;By first Black white image data carry out down-sampled computing according to the first down-sampled rate, obtain the second black white image data;And it is color by first Color image data carry out down-sampled computing according to the second down-sampled rate, obtain the second color image data.
In the above embodiment of the present invention, obtain the first down-sampled rate and first cromogram of the first black white image data As the step of the second down-sampled rate of data may include that reading depth parameter from raw image data;Obtain initial black and white The first of view data is uploaded and counts and second the uploading and count of initial color image data;The second formula is used to calculate the first fall Sample rate Sr1, the second formula is:ZoomHeight is in image magnification parameter Amplifying height, Rate is AD sample frequency, and V is sound spread speed in the tissue, and MaxUploadNum1 is first to upload a little Number;Using the 3rd formula to calculate the second down-sampled rate Sr2, the 3rd formula is: ZoomHeight is for amplifying height, and Rate is AD sample frequency, and V is sound spread speed in the tissue, and MaxUploadNum1 is First uploads and counts, and MaxUploadNum2 is second to upload and count.
According to the abovementioned embodiments of the present invention, the second black white image data and the second color image data are counted respectively It is converted to the step of target black white image data and targeted color view data according to scanning coordinate may include that and put according to image Big parameter redefines DSC interpolation coefficient table;Use the coordinate data in DSC interpolation coefficient table that the second black white image data are entered Row data scanning coordinate is converted to target black white image data;And use coordinate data in DSC interpolation coefficient table to the Two color image datas carry out data scanning Coordinate Conversion and obtain targeted color view data.
In the above embodiment of the present invention, use the coordinate data in DSC interpolation coefficient table to the second coloured image number Acquisition sampling scope is may include that according to the step carrying out data scanning Coordinate Conversion and obtaining targeted color view data;Remove the Two color image datas are positioned at the extraneous data of sampling, the second color image data after being processed;Use DSC interpolation Coordinate data in coefficient table carries out data scanning Coordinate Conversion to the second color image data after processing and obtains targeted color View data.
As it is shown on figure 3, the amplification method of the ultrasonoscopy of present invention offer specifically can be achieved by the steps of:
In this embodiment, the maximum of coloured image being uploaded and counted (first upload count) and is set to 1000, AD samples Frequency is 50000000Hz, and the amplification in image magnification parameter is highly 100mm, and initial depth parameter (i.e. amplifies starting point thing The reason degree of depth) it is 50mm.Wherein, maximum is uploaded and counted is to determine that effectively uploads counts after coloured image amplifies, and this is counted and refers to Counting of each line of image, is counting of vertical line.
Step S202: calculate discarded counting.
Specifically, before down-sampled computing, calculate coloured image number by the initial depth parameter of initial color image data According to upper edge (i.e. initial depth parameter) amplification range outside point of rejection.C also strikes off outside the amplification range of B upper edge discarded Point,
Discarding the computing formula counted is:
C u t P o int N u m = Z o o m U p D e p t h * R a t e * ( 2 V * 1000 ) = 50 * 50000000 * 2 1540 * 1000 = 3246
Wherein, ZoomUpDepth is for amplifying starting point physical depth, unit mm;Rate is AD sample frequency, unit Hz;V For sound spread speed in the tissue.
Step S204: remove discarded correspondence of counting respectively in initial black white image data and initial color image data Data obtain the first black white image data and the first color image data.
Specifically, in this is cut and to process, the cutting of black white image and coloured image is counted out equal (namely in step S202 is calculated discarded counting).When color sampling frame changes, due to black white image amplification range (black white image Amplification range is determined by image magnification parameter, and this image magnification parameter is just to choose before ultrasonoscopy amplifies , after entering image amplification, with the sampling frame of coloured image, black white image can be entered in the amplification range of black white image Row sampling) change time, before the first black white image data and the first color image data are carried out down-sampled process, artwork master Picture discarded is counted constant, reaches the synchronization amplification effect of black white image and coloured image with this.
Step S206: calculate the first down-sampled rate of the first black white image data and the second fall of the first color image data Sample rate.
By above-described embodiment, ultrasonoscopy is amplified it is, it is possible to use the characteristic of real-time sampling, when amplifying model Enclose when (namely image magnification parameter) changes and adjust down-sampled rate, to obtain more rich point information, reach more preferably to put Big effect.
The first down-sampled rate Sr1 is calculated by equation below:
Wherein Sr1 is down-sampled rate;ZoomHeight is for amplifying height, unit mm;Rate is AD sample frequency, unit Hz;V is sound spread speed in the tissue, and MaxUploadNum1 is first to upload and count.
After calculating the first down-sampled rate of acquisition, actual the uploading that can calculate the first black white image data is counted UploadNum1:
U p l o a d N u m 1 = Z o o m H e i g h t * R a t e * 2 V * 1000 S r 1 = 100 * 50000000 * 2 / ( 1540 * 1000 ) / 7 = 927
Similarly, in this amplification range, the identical with initial black white image data of initial color image data is set (i.e. second upload count) is uploaded and counted to the fixing maximum of amplification range is 800, calculates the second down-sampled rate Sr2
S r 2 = c e i l ( Z o o m H e i g h t * R a t e * 2 V * M a x U p l o a d N u m 1 M a x U p l o a d N u m 2 ) = c e i l ( 100 * 5000000 * 2 1540 * 1000 800 ) = c e i l ( 8.12 ) = 9
Then the actual UploadNum2 that counts that uploads of the first color image data is:
U p l o a d N u m 2 = Z o o m H e i g h t * R a t e * 2 V * 1000 S r 2 = 100 * 50000000 * 2 / ( 1540 * 1000 ) / 9 = 721
Step S208: respectively the first black white image data and the first color image data are carried out down-sampled computing and obtains Two black white image data and the second color image data.
Specifically, calculate after obtaining the first down-sampled rate and the second down-sampled rate, by the first black white image data according to First down-sampled rate carries out down-sampled computing, obtains the second black white image data;And by the first color image data according to Two down-sampled rates carry out down-sampled computing, obtain the second color image data.Specifically, having of the first black white image data is calculated Effect uploads that to count be 927 points, and calculate the first color image data effectively uploads that to count be 721 point (now the first color datas Position, PRF sampling frame to be designed to lower edge effective depth, outside sampling frame border, cake is invalid, and we can be to coloured silk The second time of color image abandons in point of rejection and processes), in the above embodiment of the present invention, regardless of the amplification range of black white image Or how the sampling frame scope of coloured image changes, the first black white image data and the down-sampled rate of the first color image data Effectively uploading counts is all a relatively-stationary relation, thus before amplification after image on performance variation effect and change Change trend also has certain concordance, and can also unify when the algorithm capacity of above-described embodiment and memory space, thus can So that the effect synchronicity that the coloured image of ultrasonoscopy and black white image rear line before amplification is shown is the highest.
Wherein, PRF is Pulse repetition frequency, pulse recurrence frequency.
Step S210: redefine a DSC interpolation coefficient table of the second black white image data according to image magnification parameter.
Step S212: redefine the 2nd DSC interpolation coefficient table of the second color image data according to image magnification parameter.
Specifically, physical depth and physical width according to original data do two difference coefficient tables.
In the above embodiment of the present invention, can be according to the dot spacing of initial black white image data, distance between centers of tracks, the most inclined Turn the effective informations such as image display type, in the effective range of initial black white image data, be interpolation coefficient table (master of the present invention Will in order to realize black white image in ultrasonoscopy, coloured image synchronizes enlarging function);Point according to initial color image data Spacing, distance between centers of tracks, whether deflect, the effective information such as image display type, count in the effective range of initial color image data Calculating interpolation coefficient table, the calculating of two interpolation coefficient tables is all in the effective range of black white image, when the sampling of coloured image Frame (i.e. sampling scope) is mobile, and the when of the amplification invariant position of black white image, the interpolation coefficient table of coloured image will not weigh New calculating, thus ensure that the sensitivity of regulation sampling frame.
Step S214: use a DSC interpolation coefficient table that the second black white image data are done DSC computing and obtain target black and white View data.
Step S216: search MAP table to show target black white image.
Step S218: intercept second after the valid data in the range of the sampling of the second color image data are processed color Color image data.
Specifically, according to sampling frame movement in the effective range of the second black white image data, the second cromogram is intercepted As the valid data of data can greatly avoid repetitive operation to associate too by force with system mode, strengthen the robustness of system.
Step S220: use the 2nd DSC interpolation coefficient table that the second color image data after processing is done DSC computing and obtain Targeted color view data.
Step S222: search MAP table to show targeted color image.
Specifically, the second black white image data and the second color image data are being made DSC computing and is looking into Map table display figure As before, it is also possible to the second black white image data and the second color image data are done modulation /demodulation and processes, then by modulatedemodulate The second black white image data and the second color image data after tune are made DSC computing and look into Map table display image.Specifically, When the second black white image data are modulated demodulation process, can upload according to first and count and initial depth parameter is to the In two black white image data, all available points are modulated demodulation process, such that it is able to the guarantee of maximum is to the second black white image number According to the effectiveness of signal processing so that the black white image resolution after Fang great ing is higher.And to the second coloured image number Before being modulated demodulation process, can again cut down extraneous the discarding of sampling and count, to the cromogram in ultrasonoscopy Cut a little as doing second time, thereby may be ensured that the modulation /demodulation to coloured image processes according to the computing of counting in the range of sampling, In the above-described embodiments, simply expand the effective range of DSC interpolation coefficient, do not increase extra real-time operation expense, The coloured image after the amplification of resolution such that it is able to secure satisfactory grades quickly and efficiently.
In the above embodiment of the present invention, to black white image and the amplification of coloured image on real-time ultrasonoscopy, It not the same multiple amplification of simple dot spacing and distance between centers of tracks, when the effective range change that image amplifies, black and white can be adjusted Image and the down-sampled rate of coloured image (i.e. the first black white image data in above-described embodiment and the first color image data), Adjust down-sampled rate and can obtain more point information, thus improve the resolution of image.
Specifically, the first down-sampled rate of the first black white image data and the second down-sampled rate of the first color image data Be all upload according to maximum and count (i.e. first upload count and second upload count) determine, and second uploads that to count be phase Uploading of amplification range for the first black white image data is counted, i.e. maximum when the sampling scope of the first color image data Situation.Before and after black white image in ultrasonoscopy and the amplification of coloured image, the variable quantity of effective information is approximation, therefore puts Before and after big, variation effect and variation tendency are also to synchronize.
In the above embodiment of the present invention, remove module and remove initial black white image data and initial color image data In discarded count be all image magnification parameter amplify corresponding the counting in coboundary, and the second black white image data and second Color image data all makees the interpolation coefficient table of DSC in the amplification range of whole black white image, the sampling frame (tool of coloured image Body ground, determines sampling scope with sampling frame) movement do not recalculate the interpolation coefficient of DSC (i.e. digital scanning coordinate transformation) Table, such that it is able to effectively improve the operation efficiency during colored box regulation, enhances product performance.
It should be noted that can be at such as one group of computer executable instructions in the step shown in the flow chart of accompanying drawing Computer system performs, and, although show logical order in flow charts, but in some cases, can be with not It is same as the step shown or described by order execution herein.
As can be seen from the above description, present invention achieves following technique effect: the ultrasonoscopy that the present invention provides Amplification method, coloured image in ultrasonoscopy and black white image are (specifically to colour during processing image View data and black white image data carry out processing, such as: initial color image data and initial black white image data, first color Color image data, the first black white image data, the second color image data and the second black white image data) image after amplification Effectively upload and count (namely first upload count and second upload count) can be according to presetting, effectively uploading determining After counting, then determine the first down-sampled rate and the second down-sampled rate, on the second of initial color image in the above-described embodiments It is the amplification range (this scope has image magnification parameter to determine) at whole black white image that biography is counted, not along with coloured image Sampling frame change and change, use above-described embodiment, the abundantest of the coloured image after amplification and black white image can be obtained Point information, and constant in the amplification range of black white image, and when the sampling frame of coloured image changes, coloured image is (real at this Execute in example be in particular the first color image data) the second down-sampled rate will not change, such that it is able to reaching amplification message The sampling frame regulation avoiding coloured image while abundant effect brings the process of complexity, greatly simplifies design and raising property Can, and the coloured image of ultrasonoscopy and black white image rear image change trend before amplification can be made to reach to synchronize.
Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general Calculating device realize, they can concentrate on single calculating device, or be distributed in multiple calculating device and formed Network on, alternatively, they can with calculate the executable program code of device realize, it is thus possible to by they store Performed by calculating device in the storage device, or they are fabricated to respectively each integrated circuit modules, or by them In multiple modules or step be fabricated to single integrated circuit module and realize.So, the present invention be not restricted to any specifically Hardware and software combines.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies Change, equivalent, improvement etc., should be included within the scope of the present invention.

Claims (12)

1. a ultrasonic image magnifying method, it is characterised in that including:
Discarded count according to what image magnification parameter was removed in initial black white image data and initial color image data respectively To the first black white image data and the first color image data;
Described first black white image data and described first color image data are dropped according to respective down-sampled rate respectively Sampled operational, obtains the second black white image data and the second color image data;
Described second black white image data and described second color image data are carried out data scanning Coordinate Conversion respectively obtain Target black white image data and targeted color view data;
Use MAP table described target black white image data and described targeted color view data are converted to target black white image and Targeted color image, wherein, described MAP table is a RGB table pre-defined.
Ultrasonic image magnifying method the most according to claim 1, it is characterised in that remove respectively according to image magnification parameter Discarded counting in initial black white image data and initial color image data obtains the first black white image data and the first colour The step of view data includes:
Obtain the initial depth parameter of described image magnification parameter;
Calculate described discarding according to described initial depth parameter to count;
The described discarded data counted are removed respectively in described initial black white image data and described initial color image data Obtain described first black white image data and described first color image data.
Ultrasonic image magnifying method the most according to claim 2, it is characterised in that calculate according to described initial depth parameter The described discarded step counted includes:
Using the first formula to calculate the described discarded CutPointNum that counts, wherein, described first formula is:
Described ZoomUpDepth is initial depth parameter, and Rate is AD sample frequency, and V is sound spread speed in the tissue, MaxUploadNum1 is that the first of described initial black white image data are uploaded and counted.
Ultrasonic image magnifying method the most according to claim 1, it is characterised in that by described first black white image data and Described first color image data carries out down-sampled computing according to respective down-sampled rate respectively, obtains the second black white image data Include with the step of the second color image data:
Obtain the second down-sampled of the first down-sampled rate of described first black white image data and described first color image data Rate;
Described first black white image data are carried out down-sampled computing according to described first down-sampled rate, obtains described second black and white View data;And
Described first color image data is carried out down-sampled computing according to described second down-sampled rate, obtains described second colored View data.
Ultrasonic image magnifying method the most according to claim 4, it is characterised in that obtain described first black white image data The first down-sampled rate and the step of the second down-sampled rate of described first color image data include:
Depth parameter is read from raw image data;
Obtain the first of described initial black white image data to upload and count and second the uploading a little of described initial color image data Number;
Using the second formula to calculate described first down-sampled rate Sr1, described second formula is:
Described ZoomHeight is the amplification height in described image magnification parameter, and Rate is AD sample frequency, and V is that sound is in group Spread speed in knitting, MaxUploadNum1 is described first to upload and count;
Using the 3rd formula to calculate described second down-sampled rate Sr2, described 3rd formula is:
Described ZoomHeight is described amplification highly, and Rate is described AD sample frequency, and V is sound propagation speed in the tissue Degree, MaxUploadNum1 is described first to upload and count, and MaxUploadNum2 is described second to upload and count.
Ultrasonic image magnifying method the most according to claim 1, it is characterised in that to described second black white image data and Described second color image data carries out data scanning Coordinate Conversion respectively and obtains target black white image data and targeted color figure As the step of data includes:
DSC interpolation coefficient table is redefined according to described image magnification parameter;
Use the coordinate data in described DSC interpolation coefficient table that described second black white image data are carried out data scanning coordinate to turn Get described target black white image data in return;And
Use the coordinate data in described DSC interpolation coefficient table that described second color image data is carried out data scanning coordinate to turn Get described targeted color view data in return.
Ultrasonic image magnifying method the most according to claim 6, it is characterised in that use in described DSC interpolation coefficient table Coordinate data described second color image data carried out data scanning Coordinate Conversion obtain described targeted color view data Step include:
Obtain sampling scope;
Removing and be positioned at the extraneous data of described sampling in described second color image data, described second after being processed is color Color image data;
Use the coordinate data in described DSC interpolation coefficient table to the described second color image data number after described process It is converted to described targeted color view data according to scanning coordinate.
8. a ultrasonoscopy amplifying device, it is characterised in that including:
Remove module, for removing respectively in initial black white image data and initial color image data according to image magnification parameter Discarded counting obtain the first black white image data and the first color image data;
Computing module, for by described first black white image data and described first color image data respectively according to respective fall Sample rate carries out down-sampled computing, obtains the second black white image data and the second color image data;
Coordinate transferring, for carrying out data respectively to described second black white image data and described second color image data Scanning coordinate is converted to target black white image data and targeted color view data;
Image conversion module, is used for using MAP table described target black white image data and described targeted color view data to be turned Being changed to target black white image and targeted color image, wherein, described MAP table is a RGB table pre-defined.
Ultrasonoscopy amplifying device the most according to claim 8, it is characterised in that described removal module includes:
First acquisition module, for obtaining the initial depth parameter of described image magnification parameter;
First calculating sub module, counts for calculating described discarding according to described initial depth parameter;
First removes submodule, for removing in described initial black white image data and described initial color image data respectively The described discarded data counted obtain described first black white image data and described first color image data.
Ultrasonoscopy amplifying device the most according to claim 8, it is characterised in that described computing module includes:
Second acquisition module, for obtaining the first down-sampled rate of described first black white image data and described first coloured image Second down-sampled rate of data;
Second calculating sub module, for carrying out down-sampled fortune by described first black white image data according to described first down-sampled rate Calculate, obtain described second black white image data;And
3rd calculating sub module, for carrying out down-sampled fortune by described first color image data according to described second down-sampled rate Calculate, obtain described second color image data.
11. ultrasonoscopy amplifying devices according to claim 8, it is characterised in that described coordinate transferring includes:
Processing module, for redefining DSC interpolation coefficient table according to described image magnification parameter;
First Coordinate Conversion submodule, for using the coordinate data in described DSC interpolation coefficient table to described second artwork master Described target black white image data are obtained as data carry out data scanning Coordinate Conversion;And
Second Coordinate Conversion submodule, for using the coordinate data in described DSC interpolation coefficient table to described second cromogram Described targeted color view data is obtained as data carry out data scanning Coordinate Conversion.
12. ultrasonoscopy amplifying devices according to claim 11, it is characterised in that described second Coordinate Conversion submodule Including:
3rd acquisition module, is used for obtaining sampling scope;
Second removes submodule, is used for removing in described second color image data and is positioned at the extraneous data of described sampling, Described second color image data after process;
3rd Coordinate Conversion submodule, for using the coordinate data in described DSC interpolation coefficient table to the institute after described process State the second color image data to carry out data scanning Coordinate Conversion and obtain described targeted color view data.
CN201410013256.6A 2014-01-10 2014-01-10 Ultrasonic image magnifying method and device Active CN103761705B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410013256.6A CN103761705B (en) 2014-01-10 2014-01-10 Ultrasonic image magnifying method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410013256.6A CN103761705B (en) 2014-01-10 2014-01-10 Ultrasonic image magnifying method and device

Publications (2)

Publication Number Publication Date
CN103761705A CN103761705A (en) 2014-04-30
CN103761705B true CN103761705B (en) 2017-01-04

Family

ID=50528938

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410013256.6A Active CN103761705B (en) 2014-01-10 2014-01-10 Ultrasonic image magnifying method and device

Country Status (1)

Country Link
CN (1) CN103761705B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6689656B2 (en) * 2016-04-18 2020-04-28 ルネサスエレクトロニクス株式会社 Image processing system, image processing method, and image transmitting apparatus
CN107967484B (en) * 2017-11-14 2021-03-16 中国计量大学 Image classification method based on multi-resolution
US10685439B2 (en) * 2018-06-27 2020-06-16 General Electric Company Imaging system and method providing scalable resolution in multi-dimensional image data

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101375800A (en) * 2007-08-31 2009-03-04 深圳市蓝韵实业有限公司 Method for amplifying and displaying ultrasonoscopy
CN101477683A (en) * 2009-01-20 2009-07-08 深圳市蓝韵实业有限公司 Adaptive grey level mapping method for ultrasonic image
CN101854537A (en) * 2009-03-31 2010-10-06 深圳迈瑞生物医疗电子股份有限公司 Ultrasound image data optimization and radiography quantitative analysis method and system
CN101980281A (en) * 2010-09-30 2011-02-23 深圳市理邦精密仪器股份有限公司 Ultrasonic image amplification method and amplification system
CN102038520A (en) * 2011-01-10 2011-05-04 飞依诺科技(苏州)有限公司 Ultrasonic image magnifying method
CN102793565A (en) * 2012-08-16 2012-11-28 无锡祥生医学影像有限责任公司 Image local amplification method and device for touch screen ultrasonic diagnostic apparatus

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8684933B2 (en) * 2010-08-17 2014-04-01 Imsonic Medical, Inc. Handheld ultrasound color flow imaging system with mechanically scanned, mechanically focused multi-element transducers

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101375800A (en) * 2007-08-31 2009-03-04 深圳市蓝韵实业有限公司 Method for amplifying and displaying ultrasonoscopy
CN101477683A (en) * 2009-01-20 2009-07-08 深圳市蓝韵实业有限公司 Adaptive grey level mapping method for ultrasonic image
CN101854537A (en) * 2009-03-31 2010-10-06 深圳迈瑞生物医疗电子股份有限公司 Ultrasound image data optimization and radiography quantitative analysis method and system
CN101980281A (en) * 2010-09-30 2011-02-23 深圳市理邦精密仪器股份有限公司 Ultrasonic image amplification method and amplification system
CN102038520A (en) * 2011-01-10 2011-05-04 飞依诺科技(苏州)有限公司 Ultrasonic image magnifying method
CN102793565A (en) * 2012-08-16 2012-11-28 无锡祥生医学影像有限责任公司 Image local amplification method and device for touch screen ultrasonic diagnostic apparatus

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于多尺度边缘的血管内超声图像增强算法;陶玲等;《四川大学学报(自然科学版)》;20121130;第49卷(第6期);第1228-1234页 *

Also Published As

Publication number Publication date
CN103761705A (en) 2014-04-30

Similar Documents

Publication Publication Date Title
CN103761705B (en) Ultrasonic image magnifying method and device
CN103927016B (en) Real-time three-dimensional double-hand gesture recognition method and system based on binocular vision
CN103796001B (en) A kind of method of synchronous acquisition degree of depth and color information and device
CN103955583B (en) Method for determining threshold value of urban built-up area extracted through nighttime light data
EP1975873A2 (en) Three-dimensional object imaging device
CN102704215B (en) Automatic cutting method of embroidery cloth based on combination of DST file parsing and machine vision
CN102750538B (en) A kind of weiqi game interpretation of result method based on image processing techniques
CN103181156B (en) Fuzzy Processing device and method
EP0874331A3 (en) Vehicle monitoring apparatus
CN106951905A (en) Apple identification and localization method on a kind of tree based on TOF camera
CN104299231B (en) Method and system for registering images of multiple sensors in real time
CN102113897A (en) Method and device for extracting target-of-interest from image and method and device for measuring target-of-interest in image
CN102855485B (en) The automatic testing method of one grow wheat heading
CN107392849A (en) Target identification and localization method based on image subdivision
CN116208586B (en) Low-delay medical image data transmission method and system
CN113115208A (en) UWB-based target tracking and target image reconstruction technology
CN106327447B (en) Airspace and pixel domain based on FPGA platform mix noise-reduction method
CN106603172A (en) Time stamp data time sharing reading-writing method applied to radio monitoring receiver
CN102760293B (en) Image quality evaluation method based on distance matrix
WO2017201942A1 (en) Control processing system and imaging method for subcutaneous vein developing device
CN106709432A (en) Binocular stereoscopic vision based head detecting and counting method
CN113989336A (en) Visible light image and infrared image registration method and device
CN107977962A (en) A kind of gear wear degree detecting system and method based on image outline analysis
CN113284111A (en) Hair follicle region positioning method and system based on binocular stereo vision
CN105430297B (en) The automatic control system that more video formats are changed to IIDC protocol videos form

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
PP01 Preservation of patent right

Effective date of registration: 20210730

Granted publication date: 20170104

PP01 Preservation of patent right