CN105212961B - A kind of acoustic radiation shear-wave velocity detection method and system - Google Patents

A kind of acoustic radiation shear-wave velocity detection method and system Download PDF

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Publication number
CN105212961B
CN105212961B CN201510514501.6A CN201510514501A CN105212961B CN 105212961 B CN105212961 B CN 105212961B CN 201510514501 A CN201510514501 A CN 201510514501A CN 105212961 B CN105212961 B CN 105212961B
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check bit
wave
depth
shearing wave
transposed matrix
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CN105212961A (en
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翁嘉淳
罗元亮
涂希
周伟峰
李强
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Shenzhen Jiajun Industry Co ltd
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Shenzhen Red Source Asset Management Co Ltd
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Abstract

This application discloses a kind of acoustic radiation shear-wave velocity detection method and systems, including select impact position, the first check bit and the second check bit respectively, and acoustic radiation force impact is carried out to impact position;It adds up respectively to two groups of time depth shearing wave transposed matrixs along depth direction, obtains two groups of cumulative displacement arrays by adding up and forming;Maximum value search is carried out to two groups of cumulative displacement arrays respectively, using maximum value as the time at shearing wave crest location;According to the shearing wave crest location time of the distance between first check bit and second check bit and first check bit and second check bit, shear wave velocity is calculated.The application is not necessarily to find the focal position in transposed matrix, but first transposed matrix is added up along depth direction, comprehensively utilize the shearing wave wave crest information of different depth, find out with most shearing wave wave crests by time location, find out the lateral position where maximum value, you can calculate shear wave velocity.

Description

A kind of acoustic radiation shear-wave velocity detection method and system
Technical field
This application involves ultrasonic imaging technique more particularly to a kind of acoustic radiation shear-wave velocity detection methods and system.
Background technology
The core of acoustic radiation force imaging is to carry out quantitative analysis to tissue hardness by capturing shearing wave.Shear-wave velocity Estimation is the key that Young's modulus (hardness) calculating, and the basis of imaging.Seminar of Duke University is in paper《Acoustic Radiation Force Impulse Imaging:in Vivo Demonstration of Clinical Feasibility》In propose TOF (Time of Flight, flight time) method carry out shear wave velocity estimation.Such as Fig. 1 It is shown, after being impacted to 30 positions of impact using acoustic radiation force, two location points are chosen on tissue 10:First detection Position and the second check bit, Δ R is denoted as by distance among them, and calculate shearing wave 20 by cross-correlation method draws 2 positions The displacement risen.20 wave crest of shearing wave is denoted as t respectively by 2 points of time1And t2, 20 speed of shearing wave isTOF methods Realize very simple, computational efficiency height.
But TOF methods also have following defect:TOF methods require the shearing wave depth location for first finding out most strong displacement (i.e. burnt Point position), then flight curve is drawn, shear wave velocity is then calculated by the crest location found in flight curve.But it looks for There is following requirement in quasi- focal position:1, the precision of computing cross-correlation must be increased, i.e., must select small window and small step progress Row computing cross-correlation.Operation time can be greatly increased in this way, and operation Duplication and redundancy are very big.2, to radiating force signal Signal-to-noise ratio requires height, and noise spot is otherwise easy to be mistakenly considered focus.TOF also has some shortcomings, such as focus is only utilized Shearing wave, is assumed to be single wave by the shearing wave information of position, and the shearing wave data useless for comprehensively utilizing other depth in this way Perfect condition.It is this to assume to receive inside body uniformly imitating with medium, it is inhomogeneous but if uneven having It is propagated in object, shearing wave has the characteristic of more complexity, such as divides, refraction etc..The single shearing wave for calculating focal position Error-prone.The information of focal position in transposed matrix is only utilized in TOF methods, not to the shearing wave displacement in other depth There is good utilization.In the case where radiant force effect is good, TOF methods can accurately estimate shear wave velocity.But in reality In the application of human body or animal, radiant force effect can be interfered very much, and the focal position in transposed matrix is not easy to find, and When acoustic radiation force effect is weaker, displacement of tissue unobvious caused by shearing wave are difficult to find crest location accurately and carry out using TOF methods Wave velocity estimation.
Invention content
A kind of acoustic radiation shear-wave velocity detection method of the application offer and system.
According to the application's in a first aspect, the application provides a kind of acoustic radiation shear-wave velocity detection method, feature exists In, including:
Impact position, the first check bit and the second check bit are selected respectively, and acoustic radiation force punching is carried out to the impact position It hits;
The data for acquiring first check bit and second check bit are respectively processed, and obtain m- depth at two groups Degree-shearing wave transposed matrix;
Along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix add up, obtain two groups by tiring out Sum it up the cumulative displacement array of composition;
Respectively to described in two groups add up displacement array carry out maximum value search, using maximum value as shearing wave crest location at Time;
According to the distance between first check bit and second check bit and first check bit and described The shearing wave crest location time of two check bits, shear wave velocity is calculated.
The above method, it is described along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix tire out Add, including:Local data is chosen to add up.
The above method, it is described along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix add up Before, further include:To it is described when m- depth-shearing wave transposed matrix carry out lateral interpolation.
The above method, it is described along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix add up Before, further include:To it is described when m- depth-shearing wave transposed matrix carry out lateral filtering.
The data of the above method, the acquisition first check bit and second check bit are respectively processed, and are had Body includes:Using cross-correlation analysis respectively at first check bit and the data of second check bit acquisition Reason.
According to the second aspect of the application, the application provides a kind of acoustic radiation shear-wave velocity detecting system, including:
Selecting module, for selecting impact position, the first check bit and the second check bit respectively, to the impact position into Row acoustic radiation force impacts;
Acquisition module, the data for acquiring first check bit and second check bit are respectively processed, obtain Go out m- depth-shearing wave transposed matrix at two groups;
Accumulator module, for along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix tire out Add, obtains two groups of cumulative displacement arrays by adding up and forming;
Searching module, for carrying out maximum value search to the displacement array that adds up described in two groups respectively, using maximum value as cutting Cut the time at wave crest location;
Processing module, for according to the distance between first check bit and second check bit and first inspection The shearing wave crest location time of location and second check bit, shear wave velocity is calculated.
Above system, the accumulator module are additionally operable to selection local data and add up.
Above system, the accumulator module, be additionally operable to it is described when m- depth-shearing wave transposed matrix laterally insert Value.
Above system, the accumulator module, be additionally operable to it is described when m- depth-shearing wave transposed matrix carry out lateral filter Wave.
Above system, the acquisition module are additionally operable to using cross-correlation analysis respectively in first check bit and institute The data for stating the acquisition of the second check bit are handled.
As a result of above technical scheme, the advantageous effect that the application has is made to be:
In the specific implementation mode of the application, along depth direction respectively to two groups when m- depth-shearing wave transposed matrix It adds up, obtains two groups of cumulative displacement arrays by adding up and forming, maximum value is carried out to two groups of cumulative displacement arrays respectively Search, using maximum value as the time at shearing wave crest location, according to the distance between the first check bit and the second check bit And first check bit and the second check bit the shearing wave crest location time, shear wave velocity is calculated.The application is without seeking The focal position in transposed matrix is looked for, but first transposed matrix is added up along depth direction, comprehensively utilizes the shearing of different depth Wave wave crest information, find out with most shearing wave wave crests by time location, find out the lateral position where maximum value, i.e., Shear wave velocity can be calculated.
Description of the drawings
Fig. 1 is shear-wave velocity estimation principle figure;
Fig. 2 is the flow chart of the acoustic radiation shear-wave velocity detection method of the application in one embodiment;
Fig. 3 is the structural schematic diagram of the acoustic radiation shear-wave velocity detecting system of the application in one embodiment.
Specific implementation mode
The application is described in further detail below by specific implementation mode combination attached drawing.
Embodiment one:
As shown in Figure 1, the acoustic radiation shear-wave velocity detection method of the application, a kind of embodiment, including following step Suddenly:
Step 102:Impact position, the first check bit and the second check bit are selected respectively, and acoustic radiation is carried out to impact position Power is impacted.
Step 104:The data for acquiring the first check bit and the second check bit are respectively processed, and obtain m- depth at two groups Degree-shearing wave transposed matrix.
In one embodiment, it acquires the first check bit and the data of the second check bit is respectively processed, specifically may be used To include:Using cross-correlation analysis respectively to being handled in the data of the first check bit and the acquisition of the second check bit.Cross-correlation Window that need not be too small in calculating is long and step-length, reduction operation time can save system resource.
Step 106:Along depth direction respectively to two groups when m- depth-shearing wave transposed matrix add up, obtain two groups By the cumulative displacement array for adding up and forming.
In one embodiment, along depth direction respectively to two groups when m- depth-shearing wave transposed matrix tire out Add, may include choosing local data to add up.The selection of wherein local data position includes:If when m- depth-shearing wave Transposed matrix size is M rows N row, centered on longitudinal center point, respectively takes the data length of M/4 to add up up and down along longitudinal direction. Because of the position of focus in transposed matrix) it is likely near longitudinal center, the data near longitudinal center have most strong Shearing wave displacement.
In one embodiment, along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix carry out Can also include the steps that the m- depth of clock synchronization-shearing wave transposed matrix carries out lateral interpolation before cumulative.In another embodiment party In formula, along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix add up before, can also include pair M- depth-shearing wave transposed matrix is laterally filtered when described.
Step 108:Maximum value search is carried out to two groups of cumulative displacement arrays respectively, using maximum value as shearing wave wave crest position Set the time at place.
Comprehensively utilize different depth shearing wave wave crest information, find out with most shearing wave wave crests by when meta position It sets.This way has more statistical significance, makes final shearing wave in the case that radiant force poor signal or medium are non-uniform Velocity estimation result is more stablized.
Step 110:According to the distance between the first check bit and the second check bit and the first check bit and the second check bit The shearing wave crest location time, shear wave velocity is calculated.It can specifically be calculated by following formula:Its Displacements of the middle △ R between the first check bit and the second check bit, △ t are that the wave crest of shearing wave passes through the first check bit and second The time difference of check bit.
Since the echo data processing mode of the first check bit and the second check bit is the same, so here with the first check bit Echo data for be described in detail:
1. the first check bit gathered data size of hypothesis is M*N, it will be appreciated that acquire longitudinal length in the first check bit For the data of M, n times are acquired.
2. pair data matrix adjacent column carries out cross-correlation Displacement Estimation calculating, if step-length is Step, window is a length of WinLength finally show that cross-correlation transposed matrix size is K* (N-1), wherein K=[(M-WinLength)/Step]+1. This matrix m- depth-shearing wave transposed matrix when being.
3. the m- depth of clock synchronization-shearing wave transposed matrix carries out data accumulation along depth direction, i.e. column direction, length is obtained For the cumulative and one-dimension array of N-1.
4. traversing maximizing in cumulative and array, and records and be designated as T1 under maximum value.
5. above method pair the second check bit data are run, T2 is obtained.According to formulaAcquire shear wave velocity Degree, whereinΔR distances between the first check bit and the second check bit, by being determined when chosen position.
In the ideal situation, the position for carrying out radiant force impact is the focus in transposed matrix;But reality is impossible , due to the uncertainty of the shearing wave wave source position of excitation, focus (the i.e. strongest propagation position of wave source energy of transposed matrix Set) it is unknown, it needs to be calculated according to the transposed matrix calculated, estimates focal position.Common method is direct The position that transposed matrix maximum value is found out along depth direction is judged as focal position, and the application is first transposed matrix edge Depth direction is cumulative, find out maximum value lateral position, can directly calculate shear wave velocity, settle at one go.The application's Acoustic radiation shear-wave velocity detection method comprehensively utilizes the shearing wave wave crest information of different depth, finds out with most shearing waves Wave crest by time location.This way has more statistical significance, in radiant force poor signal or the non-uniform feelings of medium Final shear wave velocity estimated result is set more to stablize under condition.When weaker present application addresses acoustic radiation force effect, shearing wave draws The displacement of tissue unobvious risen are difficult to find crest location accurately and the problem of carry out wave velocity estimation using TOF methods.
Embodiment two:
As shown in figure 3, the acoustic radiation shear-wave velocity detecting system of the application, a kind of embodiment, including selection mould Block, acquisition module and accumulator module.Selecting module is right for selecting impact position, the first check bit and the second check bit respectively Impact position carries out acoustic radiation force impact.Acquisition module, for acquire the data of the first check bit and the second check bit respectively into Row processing, obtains m- depth-shearing wave transposed matrix at two groups.Accumulator module, for along depth direction respectively to two groups when M- depth-shearing wave transposed matrix adds up, and obtains two groups of cumulative displacement arrays by adding up and forming.Searching module is used In respectively to described in two groups add up displacement array carry out maximum value search, using maximum value as at shearing wave crest location when Between.Processing module, for according to the distance between the first check bit and the second check bit and the first check bit and the second check bit The shearing wave crest location time, shear wave velocity is calculated.
The acoustic radiation shear-wave velocity detecting system of the application, accumulator module can be also used for choosing local data's progress It is cumulative.The selection of wherein local data position includes:If when m- depth-shearing wave transposed matrix size be M rows N row, with longitudinal direction Centered on central point, the data length of M/4 is respectively taken to add up up and down along longitudinal direction.Because of the position of focus in transposed matrix) It is likely near longitudinal center, so the data near longitudinal center have strongest shearing wave displacement.
In one embodiment, accumulator module can be also used for the m- depth of clock synchronization-shearing wave transposed matrix and carry out cross To interpolation.In another embodiment, accumulator module, can be also used for it is described when m- depth-shearing wave transposed matrix into Row laterally filtering.
The acoustic radiation shear-wave velocity detecting system of the application, acquisition module can be also used for utilizing cross-correlation analysis point It is other that the data acquired in the first check bit and the second check bit are handled.Need not be too small in cross-correlation calculation window length and Step-length reduces operation time, can save system resource.
Since the echo data processing mode of the first check bit and the second check bit is the same, so here with the first check bit Echo data for be described in detail:
1. the first check bit gathered data size of hypothesis is M*N, it will be appreciated that acquire longitudinal length in the first check bit For the data of M, n times are acquired.
2. pair data matrix adjacent column carries out cross-correlation Displacement Estimation calculating, if step-length is Step, window is a length of WinLength finally show that cross-correlation transposed matrix size is K* (N-1), wherein K=[(M-WinLength)/Step]+1. This matrix m- depth-shearing wave transposed matrix when being.
3. the m- depth of clock synchronization-shearing wave transposed matrix carries out data accumulation along depth direction, i.e. column direction, length is obtained For the cumulative and one-dimension array of N-1.
4. traversing maximizing in cumulative and array, and records and be designated as T1 under maximum value.
5. above method pair the second check bit data are run, T2 is obtained.According to formulaAcquire shear wave velocity Degree, whereinΔR distances between the first check bit and the second check bit, by being determined when chosen position.
In the ideal situation, the position for carrying out radiant force impact is the focus in transposed matrix;But reality is impossible , due to the uncertainty of the shearing wave wave source position of excitation, focus (the i.e. strongest propagation position of wave source energy of transposed matrix Set) it is unknown, it needs to be calculated according to the transposed matrix calculated, estimates focal position.Common method is direct The position that transposed matrix maximum value is found out along depth direction is judged as focal position, and the application is first transposed matrix edge Depth direction is cumulative, find out maximum value lateral position, can directly calculate shear wave velocity, settle at one go.The application's Acoustic radiation shear-wave velocity detection method comprehensively utilizes the shearing wave wave crest information of different depth, finds out with most shearing waves Wave crest by time location.This way has more statistical significance, in radiant force poor signal or the non-uniform feelings of medium Final shear wave velocity estimated result is set more to stablize under condition.When weaker present application addresses acoustic radiation force effect, shearing wave draws The displacement of tissue unobvious risen are difficult to find crest location accurately and the problem of carry out wave velocity estimation using TOF methods.
The foregoing is a further detailed description of the present application in conjunction with specific implementation manners, and it cannot be said that this Shen Specific implementation please is confined to these explanations.For those of ordinary skill in the art to which this application belongs, it is not taking off Under the premise of conceiving from the application, a number of simple deductions or replacements can also be made.

Claims (8)

1. a kind of acoustic radiation shear-wave velocity detection method, which is characterized in that including:
Impact position, the first check bit and the second check bit are selected respectively, and acoustic radiation force impact is carried out to the position;
The data for acquiring first check bit and second check bit are respectively processed, and m- depth-is cut when obtaining two groups Cut wave transposed matrix;
Along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix add up, obtain two groups by cumulative and The cumulative displacement array of composition;
Respectively to described in two groups add up displacement array carry out maximum value search, using maximum value as at shearing wave crest location when Between;
According to the distance between first check bit and second check bit and first check bit and second inspection The shearing wave crest location time of location, shear wave velocity is calculated;
The data of the acquisition first check bit and second check bit are respectively processed, and are specifically included:
Using cross-correlation analysis respectively to being handled in the data of first check bit and second check bit acquisition, In, using cross-correlation analysis respectively to being handled in the data of first check bit and second check bit acquisition, wrap It includes and cross-correlation Displacement Estimation calculating is carried out to data matrix adjacent column, if step-length is Step, a length of WinLength of window, obtain mutually Correlation displacement matrix size is K* (N-1), and wherein K=(M-WinLength)/Step+1, M are in the first check bit gathered data Longitudinal length, N is times of collection, this matrix m- depth-shearing wave transposed matrix when being.
2. acoustic radiation shear-wave velocity detection method as described in claim 1, which is characterized in that described to distinguish along depth direction M- depth-shearing wave transposed matrix adds up when to described in two groups, including:
Local data is chosen to add up.
3. acoustic radiation shear-wave velocity detection method as described in claim 1, which is characterized in that described to distinguish along depth direction Before m- depth-shearing wave transposed matrix adds up when to described in two groups, further include:
To it is described when m- depth-shearing wave transposed matrix carry out lateral interpolation.
4. acoustic radiation shear-wave velocity detection method as described in claim 1, which is characterized in that described to distinguish along depth direction Before m- depth-shearing wave transposed matrix adds up when to described in two groups, further include:
To it is described when m- depth-shearing wave transposed matrix carry out lateral filtering.
5. a kind of acoustic radiation shear-wave velocity detecting system, which is characterized in that including:
Selecting module, for selecting impact position, the first check bit and the second check bit respectively, to the impact position carry out sound Radiant force impacts;
Acquisition module, the data for acquiring first check bit and second check bit are respectively processed, and obtain two M- depth-shearing wave transposed matrix when group;
Accumulator module, for along depth direction respectively to described in two groups when m- depth-shearing wave transposed matrix add up, obtain To two groups of cumulative displacement arrays by adding up and forming;
Searching module, for carrying out maximum value search to the displacement array that adds up described in two groups respectively, using maximum value as shearing wave Time at crest location;
Processing module, for according to the distance between first check bit and second check bit and first check bit With the shearing wave crest location time of second check bit, shear wave velocity is calculated;
The acquisition module is additionally operable to using cross-correlation analysis respectively to being adopted in first check bit and second check bit The data of collection are handled, wherein using cross-correlation analysis respectively to being adopted in first check bit and second check bit The data of collection are handled, including carry out cross-correlation Displacement Estimation calculating to data matrix adjacent column, if step-length is Step, window is long For WinLength, show that cross-correlation transposed matrix size is K* (N-1), wherein K=(M-WinLength)/Step+1, this square Battle array m- depth-shearing wave transposed matrix when being.
6. acoustic radiation shear-wave velocity detecting system as claimed in claim 5, which is characterized in that the accumulator module is also used It adds up in choosing local data.
7. acoustic radiation shear-wave velocity detecting system as claimed in claim 5, which is characterized in that the accumulator module is also used M- depth-shearing wave transposed matrix carries out lateral interpolation when to described.
8. acoustic radiation shear-wave velocity detecting system as claimed in claim 5, which is characterized in that the accumulator module is also used M- depth-shearing wave transposed matrix carries out lateral filtering when to described.
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Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104546014A (en) * 2014-12-25 2015-04-29 中国科学院深圳先进技术研究院 Shear wave velocity estimation method for biological tissue elasticity measurement
CN106645406B (en) * 2016-12-02 2019-03-12 北京空间飞行器总体设计部 The positioning system and localization method of a kind of spacecraft by impact from space debris
CN107616814A (en) * 2017-08-25 2018-01-23 深圳中科乐普医疗技术有限公司 A kind of biological tissue's shear-wave velocity measuring method and medical supersonic wave device
CN107753058B (en) * 2017-11-22 2021-03-02 深圳中科乐普医疗技术有限公司 Shear wave dynamic filtering method
CN109589138A (en) * 2018-11-26 2019-04-09 深圳中科乐普医疗技术有限公司 A kind of shear-wave velocity calculation method and elastogram equipment
CN109512465B (en) * 2018-12-19 2021-04-06 深圳中科乐普医疗技术有限公司 Acoustic radiation force bidirectional shear wave composite imaging method and device
CN110811689B (en) 2019-10-31 2020-11-27 汕头市超声仪器研究所股份有限公司 First-order estimation method for shear wave motion speed

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102551801A (en) * 2010-10-06 2012-07-11 美国西门子医疗解决公司 Shear wave velocity solution for medical ultrasound imaging
CN103269639A (en) * 2010-12-22 2013-08-28 皇家飞利浦电子股份有限公司 Shear wave velocity estimation using center of mass
CN103431874A (en) * 2013-09-06 2013-12-11 中国科学院深圳先进技术研究院 Method and system for estimating acoustic radiation force pulse imaging
CN104434216A (en) * 2013-09-24 2015-03-25 美国西门子医疗解决公司 Shear wave Estimation from Analytic Data
CN104510499A (en) * 2013-09-30 2015-04-15 美国西门子医疗解决公司 Shear wave detection in medical ultrasound imaging
CN104546014A (en) * 2014-12-25 2015-04-29 中国科学院深圳先进技术研究院 Shear wave velocity estimation method for biological tissue elasticity measurement
CN104605890A (en) * 2014-12-18 2015-05-13 深圳开立生物医疗科技股份有限公司 Shear wave crest value waveform correction method, device and system and application thereof
CN104622507A (en) * 2013-11-11 2015-05-20 中国科学院深圳先进技术研究院 Elasticity modulus measurement method and system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8147410B2 (en) * 2009-03-23 2012-04-03 The Hong Kong Polytechnic University Method and apparatus for ultrasound imaging and elasticity measurement
US9468421B2 (en) * 2012-02-16 2016-10-18 Siemens Medical Solutions Usa, Inc. Visualization of associated information in ultrasound shear wave imaging

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102551801A (en) * 2010-10-06 2012-07-11 美国西门子医疗解决公司 Shear wave velocity solution for medical ultrasound imaging
CN103269639A (en) * 2010-12-22 2013-08-28 皇家飞利浦电子股份有限公司 Shear wave velocity estimation using center of mass
CN103431874A (en) * 2013-09-06 2013-12-11 中国科学院深圳先进技术研究院 Method and system for estimating acoustic radiation force pulse imaging
CN104434216A (en) * 2013-09-24 2015-03-25 美国西门子医疗解决公司 Shear wave Estimation from Analytic Data
CN104510499A (en) * 2013-09-30 2015-04-15 美国西门子医疗解决公司 Shear wave detection in medical ultrasound imaging
CN104622507A (en) * 2013-11-11 2015-05-20 中国科学院深圳先进技术研究院 Elasticity modulus measurement method and system
CN104605890A (en) * 2014-12-18 2015-05-13 深圳开立生物医疗科技股份有限公司 Shear wave crest value waveform correction method, device and system and application thereof
CN104546014A (en) * 2014-12-25 2015-04-29 中国科学院深圳先进技术研究院 Shear wave velocity estimation method for biological tissue elasticity measurement

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
J'er'emy Bercoff, Micka¨el Tanter, and Mathias Fink.Supersonic Shear Imaging: A New Technique for Soft Tissue Elasticity Mapping.《ieee transactions on ultrasonics, ferroelectrics, and frequency control》.2004,第51卷(第4期),第396-408页. *
Robust Estimation of Time-of-Flight Shear Wave Speed Using a Radon Sum Transformation;Ned C. Rouze,Mark L. Palmeri;《IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control》;20101231;第57卷(第12期);第2662-2670页 *

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