CN105816204A - Method and device for automatically triggering elastic detection - Google Patents

Method and device for automatically triggering elastic detection Download PDF

Info

Publication number
CN105816204A
CN105816204A CN201610136874.9A CN201610136874A CN105816204A CN 105816204 A CN105816204 A CN 105816204A CN 201610136874 A CN201610136874 A CN 201610136874A CN 105816204 A CN105816204 A CN 105816204A
Authority
CN
China
Prior art keywords
subregion
signal
dimensional ultrasonic
dimensional
conditioned
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.)
Pending
Application number
CN201610136874.9A
Other languages
Chinese (zh)
Inventor
邵金华
孙锦
段后利
王强
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.)
Wuxi Hisky Medical Technologies Co Ltd
Original Assignee
Wuxi Hisky Medical Technologies 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 Wuxi Hisky Medical Technologies Co Ltd filed Critical Wuxi Hisky Medical Technologies Co Ltd
Priority to CN201610136874.9A priority Critical patent/CN105816204A/en
Publication of CN105816204A publication Critical patent/CN105816204A/en
Priority to PCT/CN2016/103517 priority patent/WO2017152629A1/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biophysics (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

The invention provides a method and device for automatically triggering elastic detection. The method for automatically triggering the elastic detection comprises the following steps: receiving structure imaging information of a biological tissue; carrying out region division on the structure imaging information to obtain a plurality of sub-regions, obtaining signal characteristics of each sub-region, judging whether the number of the sub-regions satisfying preset conditions is greater than the preset numerical value or not according to the signal characteristics; if yes, triggering the elastic detection of the biological tissue. By adoption of the method for automatically triggering the elastic detection provided by the invention, the elastic detection can be automatically triggered to avoid an artificial judgment, so as to improve the judgment accuracy of triggering the elastic detection.

Description

Automatically the method and apparatus triggering elastomeric check
Technical field
The present invention relates to medical instruments field, the method and apparatus particularly relating to a kind of automatic triggering elastomeric check.
Background technology
The lossless elastomeric check of biological tissue has great significance at medical field, especially for the detection of hepatic disease.Various chronic hepatopathys (such as: viral hepatitis, alcoholic hepatitis, non-alcoholic stellato-hepatitis and autoimmune liver disease etc.) will cause hepatic fibrosis and liver cirrhosis, along with the change that liver is elastic in hepatic fibrosis regulating liver-QI hardening process, by lossless elastomeric check, liver disease can be monitored and assess, thus take therapeutic scheme timely and effectively.
Existing elastomeric check device generally includes: a ultrasonic transducer contact, a servo-electric actuator that can produce instantaneous low frequency impact and a pressure-button for artificial triggering elastomeric check.Medical personnel rule of thumb judge whether to elastomeric check, the need to, medical personnel start elastomeric check device by press pressure button, servo-electric actuator launches low-frequency vibration shearing wave in liver organization, ultrasonic transducer contact launches ultrasound wave for detecting the shearing wave spread speed at liver organization, deduce the elastic modelling quantity of liver in real time, in this, as hepatic fibrosis and the quantitative basis of degree of cirrhosis.
But, artificial triggering elastomeric check is very big by the subjective impact of medical personnel, is likely to result in unnecessary elastomeric check and increases the burden of patient, or is likely to result in missing inspection and delays the treatment of patient.Therefore, the artificial mode triggering elastomeric check reduces the accuracy triggering elastomeric check.
Summary of the invention
The present invention provides the method and apparatus of a kind of automatic triggering elastomeric check, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
The method automatically triggering elastomeric check that the present invention provides, including:
Receive the structure imaging information of biological tissue;
Described structure imaging information is carried out region and divides the many sub regions of acquisition, obtain the signal characteristic of every sub regions, judge that whether the number meeting pre-conditioned subregion is more than default value according to described signal characteristic;
The most then trigger and described biological tissue is carried out elastomeric check.
The device automatically triggering elastomeric check that the present invention provides, including:
Receive unit, signal processor, trigger element and elastomeric check unit;Described reception unit is connected with described signal processor, and described signal processor is connected with described trigger element, and described trigger element is connected with described elastomeric check unit;
Described reception unit, for receiving the structure imaging information of biological tissue;
Described signal processor, divides the many sub regions of acquisition for described structure imaging information carries out region, obtains the signal characteristic of every sub regions, judges that whether the number meeting pre-conditioned subregion is more than default value according to described signal characteristic;
The most described trigger element sends triggering command to described elastomeric check unit, and described triggering command is used for indicating described elastomeric check unit that described biological tissue is carried out elastomeric check.
The present invention provides the method and apparatus of a kind of automatic triggering elastomeric check, wherein, automatically the method triggering elastomeric check includes: receive the structure imaging information of biological tissue, structure imaging information is carried out region and divides the many sub regions of acquisition, obtain the signal characteristic of every sub regions, judge that the number meeting pre-conditioned subregion whether more than default value, the most then triggers and biological tissue is carried out elastomeric check according to signal characteristic.The method automatically triggering elastomeric check that the present invention provides, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in describing below is some embodiments of the present invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The flow chart of the method automatically triggering elastomeric check that Fig. 1 provides for the embodiment of the present invention one;
The flow chart of the method automatically triggering elastomeric check that Fig. 2 provides for the embodiment of the present invention two;
The flow chart of the method automatically triggering elastomeric check that Fig. 3 provides for the embodiment of the present invention three;
The flow chart of the method automatically triggering elastomeric check that Fig. 4 provides for the embodiment of the present invention four;
The structural representation of the device automatically triggering elastomeric check that Fig. 5 provides for the embodiment of the present invention one;
The structural representation of the device automatically triggering elastomeric check that Fig. 6 provides for the embodiment of the present invention two.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art are obtained under not making creative work premise, broadly fall into the scope of protection of the invention.
The flow chart of the method automatically triggering elastomeric check that Fig. 1 provides for the embodiment of the present invention one.As it is shown in figure 1, the method automatically triggering elastomeric check that the present embodiment provides, may include that
Step 11, the structure imaging information of reception biological tissue.
Wherein, structure imaging information can include One-Dimensional Ultrasonic signal and/or two-dimensional structure image, One-Dimensional Ultrasonic signal for example, A surpasses signal, M surpasses signal, two-dimensional structure image can be two-dimensional ultrasonic image, such as B ultrasonic image, it can also be the scan-image such as CT scan (ComputedTomography is called for short CT) or nuclear magnetic resonance (MagneticResonanceImaging is called for short MRI).The present embodiment is not any limitation as the type of structure imaging information.
Optionally, a kind of specific implementation of this step may is that
Inside biological tissue, ultrasound wave is sent by the ultrasonic transducer of ultra sonic imaging, receive the structure imaging information of biological tissue.
Wherein, if single ultrasonic transducer, then can obtain the One-Dimensional Ultrasonic signal of biological tissue, if row's ultrasonic transducer, then can obtain the two-dimensional ultrasonic image of biological tissue.
Step 12, structure imaging information is carried out region divide and obtain many sub regions, obtain the signal characteristic of every sub regions, judge that the number meeting pre-conditioned subregion is whether more than default value according to signal characteristic.
In this step, automatic decision biological tissue can be realized the need of carrying out elastomeric check, concrete, structure imaging information is carried out piecemeal process, obtain the signal characteristic of every sub regions, and then by signal characteristic judge biological tissue the need of carrying out elastomeric check, biological tissue needs the condition carrying out elastomeric check to be: the number meeting pre-conditioned subregion is more than default value.Wherein, pre-conditioned and default value is configured as required.
By this step, it is achieved that automatic decision biological tissue is the need of carrying out elastomeric check, it is to avoid artificial judgment mode, the subjective judgment of experience and medical personnel owing to needing not rely on medical personnel, triggers, so improving, the accuracy that elastomeric check judges.
Optionally, structure imaging information carrying out region and divides the many sub regions of acquisition, a kind of implementation may is that and according to preset pitch, scan depths corresponding for structure imaging information is divided into many sub regions.
Optionally, in signal characteristic may include that subregion, signal envelope refers both to the standard deviation with signal envelope.
Refer both to reflect whether the structure imaging information of biological tissue exists acutely shake the most rapidly and big fluctuating with standard deviation, judge whether automatically to trigger elastomeric check with standard deviation by referring both to, the accuracy automatically triggering elastomeric check can be promoted.
Optionally, if structure imaging information includes at least one One-Dimensional Ultrasonic signal, signal characteristic can also include: the m value of the Nakagami distribution of signal envelope in subregion.
Optionally, if structure imaging information includes at least two One-Dimensional Ultrasonic signals, signal characteristic can also include: the m value of the Nakagami distribution of signal envelope in subregion, and the cross-correlation coefficient of the signal being on any two One-Dimensional Ultrasonic signals between two sub regions of the same scan degree of depth.
Wherein, the cross-correlation coefficient of the signal between two sub regions, can be primary signal between two sub regions change mutually coefficient, can also be signal envelope between two sub regions change mutually coefficient, primary signal can include on the occasion of including negative value, primary signal is obtained after signal processing by signal envelope, only include on the occasion of.
Optionally, a kind of specific implementation of this step may is that
At least one in One-Dimensional Ultrasonic signal and two-dimensional structure image is carried out region and divides the many sub regions of acquisition, obtain the signal characteristic of every sub regions, judge that whether the number meeting pre-conditioned subregion is more than described default value according to signal characteristic.
It should be noted that for different types of structure imaging information, pre-conditioned and default value could be arranged to identical, it is also possible to is set to difference.
Step 13, the most then trigger biological tissue is carried out elastomeric check.
Wherein, biological tissue is carried out elastomeric check, any one method existing can be used.Optionally, a kind of concrete implementation mode may include that
Shearing wave is excited in biological tissue.
The characterisitic parameter that detection shearing wave is propagated in biological tissues.
The viscoelastic parameters of biological tissue is calculated according to characterisitic parameter.
Wherein, the mode of excitation of shearing wave has multiple, such as: is applied the transient vibration of low frequency by vibrator at biological tissue's outer surface, or sends ultrasound wave by ultrasonic transducer to biological tissue, or sends sound wave by microphone at biological tissue's outer surface.If sending ultrasound wave by ultrasonic transducer to biological tissue, the ultrasonic transducer identical with the ultrasonic transducer of structure imaging can be used, it would however also be possible to employ the ultrasonic transducer different from the ultrasonic transducer of structure imaging.
Wherein, at least one during characterisitic parameter can include the spread speed of shearing wave and the propagation attenuation coefficient of shearing wave.
Wherein, viscoelastic parameters can include following at least one: modulus of shearing, Young's modulus, shearing elasticity, shear viscosity, mechanical impedance, mechanical relaxation time and anisotropy.
Optionally, after calculate the viscoelastic parameters of biological tissue according to characterisitic parameter, it is also possible to including:
The viscoelastic parameters of biological tissue is carried out imaging.
Wherein, viscoelastic parameters being carried out imaging, it is possible to use color-mapping algorithm, the viscoelastic parameters of biological tissue is mapped to gray scale or coloured image, color-mapping algorithm can be any one algorithm existing, such as grey scale mapping, color mapped etc..
A kind of method present embodiments providing automatic triggering elastomeric check, including: receive the structure imaging information of biological tissue, structure imaging information is carried out region and divides the many sub regions of acquisition, obtain the signal characteristic of every sub regions, judge that whether the number meeting pre-conditioned subregion is more than default value according to signal characteristic, the most then trigger and biological tissue is carried out elastomeric check.The method automatically triggering elastomeric check that the present embodiment provides, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
The flow chart of the method automatically triggering elastomeric check that Fig. 2 provides for the embodiment of the present invention two, the present embodiment is on the basis of embodiment one, provide when structure imaging information includes an One-Dimensional Ultrasonic signal, automatically trigger a kind of specific implementation of the method for elastomeric check.As in figure 2 it is shown, the method automatically triggering elastomeric check that the present embodiment provides, may include that
Step 21, the structure imaging information of reception biological tissue.
Wherein, structure imaging information includes an One-Dimensional Ultrasonic signal, and such as A surpasses signal.
Step 22, One-Dimensional Ultrasonic signal is divided into many sub regions S according to preset pitch zi
Wherein, i is subregion mark, and i is more than or equal to 1 and is less than or equal toD is the scan depths that One-Dimensional Ultrasonic signal is corresponding.The unit of d and z is millimeter.
In this step, owing to, in ultra sonic imaging, signal bottommost (i.e. scanning signal bosom) does not typically comprise target to be detected, therefore can ignore the information of signal bottommost, so when One-Dimensional Ultrasonic signal being carried out region and dividing, last subregion can be ignored, and uses the mode of rounding up to obtain all of subregion number, i.e., i=1,2 ...
Carry out citing below by concrete numerical value and describe this step in detail.Assuming that scan depths d that One-Dimensional Ultrasonic signal is corresponding is 20 millimeters, preset pitch z is 3 millimeters,One-Dimensional Ultrasonic signal then can be divided into 6 sub regions S1~S6, it is respectively as follows: S1Corresponding 0~3mm interval, S2Corresponding 3~6mm interval, S3Corresponding 6~9mm interval, S4Corresponding 9~12mm interval, S5Corresponding 12~15mm interval, S6Corresponding 15~18mm is interval, and One-Dimensional Ultrasonic signal bottommost (18~20mm is interval), owing to generally not comprising target to be detected, is therefore ignored.
It should be noted that every sub regions SiTo there being scan depths, scan depths can be subregion SiThe degree of depth refer both to, it is also possible to be subregion SiDegree of depth end value, this is not any limitation as by the present embodiment.Such as: S4Corresponding 9~12mm is interval, then S4Corresponding scan depths can be (9+12)/2=10.5mm, it is also possible to be 9mm, it is also possible to be 12mm.
Step 23, obtain every sub regions SiSignal characteristic.
Wherein, signal characteristic includes: the m value of the Nakagami distribution of the referring both to of signal envelope, the standard deviation of signal envelope and signal envelope in subregion.
Wherein, Nakagami statistical model is the common model in signal processing, and under Nakagami is distributed, the probability density function of signal envelope R can be expressed as:
f ( r ) = 2 m m r 2 m - 1 Γ ( m ) Ω m exp ( - m Ω r 2 ) U ( r ) ,
Wherein, Г (.) is gamma function, Ω=E (R2), U (.) is unit jump function, and m is Nakagami Distribution Value, and r is the dependent variable of probability-distribution function f (r), r >=0, m >=0.
For subregion SiFor, miIt is subregion SiInterior m value, RiIt is subregion SiThe envelope value of interior One-Dimensional Ultrasonic signal.The m value of Nakagami distribution can be calculated by following formula:
m = [ E ( R 2 ) ] 2 E [ R 2 - E ( R 2 ) ] 2 ,
Wherein, E (.) is mean value function.
Wherein, m value is when (0,1) scope, and the One-Dimensional Ultrasonic echo-signal of biological tissue obeys pre-Rayleigh distribution;When m value is equal to 1, the One-Dimensional Ultrasonic echo-signal of biological tissue obeys Rayleigh distribution;When m value is more than 1, the One-Dimensional Ultrasonic echo-signal of biological tissue obeys post-Rayleigh distribution.
Step 24, judge successively every sub regions scan depths, refer both to, whether to meet second pre-conditioned for the m value of standard deviation and Nakagami distribution.
Wherein, second pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion in the range of preset standard difference, and subregion Nakagami distribution m value in the range of default m value.
In this step, each sub regions S is traveled throughi, i=1,2 ...,If subregion SiCorresponding di∈[dlower,dupper], Mi∈[Mlower,Mupper], SDi∈[SDlower,SDupper] and mi∈[mlower,mupper], then subregion SiMeet second pre-conditioned, wherein, di、Mi、SDiAnd miIt is respectively subregion SiScan depths, refer both to, standard deviation and Nakagami distribution m value, dlowerAnd dupperIt is respectively the upper and lower threshold value presetting scan depths scope, MlowerAnd MupperIt is respectively the upper and lower threshold value presetting average scope, SDlowerAnd SDupperIt is respectively the upper and lower threshold value of preset standard difference scope, mlowerAnd mupperIt is respectively the upper and lower threshold value presetting m value scope.
Whether step 25, judgement meet the number of the second pre-conditioned subregion more than the second default value.
In this step, if meeting the number of the second pre-conditioned subregion more than the second default value, then it is assumed that biological tissue needs to carry out elastomeric check, therefore can realize automatic decision biological tissue the need of carrying out elastomeric check.
Wherein, the second default value is configured as required.
Step 26, the most then trigger biological tissue is carried out elastomeric check.
It should be noted that, the method automatically triggering elastomeric check that the present embodiment provides, in step 23, what signal characteristic can only include signal envelope in subregion refers both to the standard deviation with signal envelope, accordingly, in step 24, second pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, referring both in the range of default average of subregion, and the standard deviation of subregion is in the range of preset standard difference.
A kind of method present embodiments providing automatic triggering elastomeric check, specifically provides the method automatically triggering elastomeric check when structure imaging information includes an One-Dimensional Ultrasonic signal.The method automatically triggering elastomeric check that the present embodiment provides, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
The flow chart of the method automatically triggering elastomeric check that Fig. 3 provides for the embodiment of the present invention three, the present embodiment is on the basis of embodiment one, provide when structure imaging information includes at least two One-Dimensional Ultrasonic signals, automatically trigger a kind of specific implementation of the method for elastomeric check.As it is shown on figure 3, the method automatically triggering elastomeric check that the present embodiment provides, may include that
Step 31, the structure imaging information of reception biological tissue.
Wherein, structure imaging information includes at least two One-Dimensional Ultrasonic signals, and such as M surpasses signal, and M surpasses signal and may be considered A and surpass the time dependent dynamic performance of signal.
Step 32, at least two One-Dimensional Ultrasonic signals are divided into many sub regions T according to preset pitch zjk
Wherein, j is One-Dimensional Ultrasonic signal identification, and j is more than or equal to 1 and less than or equal to the number that G, G are One-Dimensional Ultrasonic signal, and k is the subregion mark on every One-Dimensional Ultrasonic signal, and k is more than or equal to 1 and is less than or equal topjFor the scan depths that j-th strip One-Dimensional Ultrasonic signal is corresponding.pjIt is millimeter with the unit of z.
Wherein, region division is carried out for every One-Dimensional Ultrasonic signal, similar to the dividing mode of step 22 in embodiment two, do not repeat them here.
Step 33, obtain every sub regions TjkSignal characteristic.
Wherein, signal characteristic includes: the m value of the Nakagami distribution of the referring both to of signal envelope, the standard deviation of signal envelope, signal envelope in subregion, and the cross-correlation coefficient of the signal being on any two One-Dimensional Ultrasonic signals between two sub regions of the same scan degree of depth.
Wherein, for the calculating of Nakagami distribution m value, similar to the calculation of step 23 in embodiment two, do not repeat them here.
Wherein, cross-correlation coefficient cjkRefer to subregion TjkWith subregion T(j+1)kBetween the cross-correlation coefficient of signal.
Step 34, judge successively every sub regions scan depths, refer both to, whether to meet the 3rd pre-conditioned for the m value of standard deviation, Nakagami distribution and cross-correlation coefficient.
Wherein, 3rd pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, the m value of the Nakagami distribution of subregion is in the range of default m value, and the cross-correlation coefficient of subregion is in the range of default cross-correlation coefficient.
In this step, each sub regions is traveled throughIf subregion TjkDjk∈[dlower,dupper], Mjk∈[Mlower,Mupper], SDjk∈[SDlower,SDupper]、mjk∈[mlower,mupper] and cjk∈[clower,cupper], then subregion TjkMeet the 3rd pre-conditioned, wherein, djk、Mjk、SDjk、mjk、cjkIt is respectively subregion TjkScan depths, refer both to, standard deviation, Nakagami distribution m value and cross-correlation coefficient, dlowerAnd dupperIt is respectively the upper and lower threshold value presetting scan depths scope, MlowerAnd MupperIt is respectively the upper and lower threshold value presetting average scope, SDlowerAnd SDupperIt is respectively the upper and lower threshold value of preset standard difference scope, mlowerAnd mupperIt is respectively the upper and lower threshold value presetting m value scope, clowerAnd cupperIt is respectively the upper and lower threshold value presetting cross-correlation coefficient scope.
Step 35, determine that the number meeting the 3rd pre-conditioned subregion on One-Dimensional Ultrasonic signal is effective One-Dimensional Ultrasonic signal more than the One-Dimensional Ultrasonic signal of the 3rd default value.
Step 36, judge that the number of effective One-Dimensional Ultrasonic signal is whether more than the 4th default value.
By step 35 and step 36, if meeting the number of the 3rd pre-conditioned subregion on every One-Dimensional Ultrasonic signal more than the 3rd default value, and the number of effective One-Dimensional Ultrasonic signal is more than the 4th default value, then think that biological tissue needs to carry out elastomeric check, therefore can realize automatic decision biological tissue the need of carrying out elastomeric check.
Wherein, the 3rd default value and the 4th default value are configured as required.
Step 37, the most then trigger biological tissue is carried out elastomeric check.
It should be noted that, the method automatically triggering elastomeric check that the present embodiment provides, in step 33, what signal characteristic can only include signal envelope in subregion refers both to the standard deviation with signal envelope, accordingly, in step 34, the 3rd pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, referring both in the range of default average of subregion, and the standard deviation of subregion is in the range of preset standard difference.Signal characteristic can also only include the m value of the Nakagami distribution of the referring both to of signal envelope in subregion, the standard deviation of signal envelope and signal envelope, accordingly, in step 34,3rd pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, and the m value of the Nakagami distribution of subregion is in the range of default m value.
A kind of method present embodiments providing automatic triggering elastomeric check, specifically provides the method automatically triggering elastomeric check when structure imaging information includes at least two One-Dimensional Ultrasonic signals.The method automatically triggering elastomeric check that the present embodiment provides, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
The flow chart of the method automatically triggering elastomeric check that Fig. 4 provides for the embodiment of the present invention four, the present embodiment is on the basis of embodiment one, provide when structure imaging information includes two-dimensional structure image, automatically trigger a kind of specific implementation of the method for elastomeric check.As shown in Figure 4, the method automatically triggering elastomeric check that the present embodiment provides, may include that
Step 41, the structure imaging information of reception biological tissue.
Wherein, structure imaging information includes two-dimensional structure image, such as B ultrasonic image, CT image, MRI image etc..
Step 42, two-dimensional structure image is divided into many sub regions V according to preset pitch zxy
Wherein, x is the subregion mark in the two-dimensional structure image scanning degree of depth, and x is more than or equal to 1 and is less than or equal toQ is the scan depths that two-dimensional structure image is corresponding, and y is the subregion mark on two-dimensional structure picture traverse, and y is more than or equal to 1 and is less than or equal toW is two-dimensional structure image pixel value on width, and h is two-dimensional structure image pixel value in scan depths.The unit of q and z is millimeter.
Step 43, obtain every sub regions VxySignal characteristic.
Wherein, signal characteristic includes: in subregion, signal envelope refers both to the standard deviation with signal envelope.
Step 44, judge the scan depths of every sub regions successively, refer both to standard deviation whether to meet first pre-conditioned.
Wherein, first pre-conditioned includes: the scan depths of subregion in the range of default scan depths, referring both in the range of default average of subregion, and the standard deviation of subregion is in the range of preset standard difference.
In this step, each sub regions V is traveled throughxy, x=1,2 ...,Y=1,2 ...,If subregion VxyCorresponding dxy∈[dlower,dupper], Mxy∈[Mlower,Mupper] and SDxy∈[SDlower,SDupper], then subregion VxyMeet first pre-conditioned, wherein, dxy、MxyAnd SDxyIt is respectively subregion VxyScan depths, refer both to and standard deviation, dlowerAnd dupperIt is respectively the upper and lower threshold value presetting scan depths scope, MlowerAnd MupperIt is respectively the upper and lower threshold value presetting average scope, SDlowerAnd SDupperIt is respectively the upper and lower threshold value of preset standard difference scope.
Whether step 45, judgement meet the number of the first pre-conditioned subregion more than the first default value.
In this step, if meeting the number of the first pre-conditioned subregion more than the first default value, then it is assumed that biological tissue needs to carry out elastomeric check, therefore can realize automatic decision biological tissue the need of carrying out elastomeric check.
Wherein, the first default value is configured as required.
Step 46, the most then trigger biological tissue is carried out elastomeric check.
It should be noted that the method automatically triggering elastomeric check that the present embodiment provides, it is equally applicable to the situation that structure imaging information includes MRI or CT.
A kind of method present embodiments providing automatic triggering elastomeric check, specifically provides the method automatically triggering elastomeric check when structure imaging information includes two-dimensional structure image.The method automatically triggering elastomeric check that the present embodiment provides, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
The structural representation of the device automatically triggering elastomeric check that Fig. 5 provides for the embodiment of the present invention one.As shown in Figure 5, the device automatically triggering elastomeric check that the present embodiment provides, for performing the method automatically triggering elastomeric check that embodiment illustrated in fig. 1 provides, may include that reception unit 11, signal processor 12, trigger element 13 and elastomeric check unit 14, receive unit 11 to be connected with signal processor 12, signal processor 12 is connected with trigger element 13, and trigger element 13 is connected with elastomeric check unit 14.
Receive unit 11, for receiving the structure imaging information of biological tissue.
Signal processor 12, divides the many sub regions of acquisition for structure imaging information carries out region, obtains the signal characteristic of every sub regions, judges that whether the number meeting pre-conditioned subregion is more than default value according to signal characteristic.
The most then trigger element 13 sends triggering command to elastomeric check unit 14, and triggering command is used for indicating elastomeric check unit 14 that biological tissue is carried out elastomeric check.
Optionally, in signal characteristic may include that subregion, signal envelope refers both to the standard deviation with signal envelope.
Optionally, structure imaging information includes at least one One-Dimensional Ultrasonic signal, and signal characteristic can also include: the m value of the Nakagami distribution of signal envelope in subregion.
Optionally, structure imaging information includes at least two One-Dimensional Ultrasonic signals, signal characteristic can also include: the m value of the Nakagami distribution of signal envelope in subregion, and the cross-correlation coefficient of the signal being on any two One-Dimensional Ultrasonic signals between two sub regions of the same scan degree of depth.
Present embodiments provide the device of a kind of automatic triggering elastomeric check, including: receive unit, signal processor, trigger element and elastomeric check unit, receiving unit to be connected with signal processor, signal processor is connected with trigger element, and trigger element is connected with elastomeric check unit.The device automatically triggering elastomeric check that the present embodiment provides, it is possible to achieve automatically trigger elastomeric check, it is to avoid artificial judgment, improves the accuracy triggering elastomeric check.
The structural representation of the device automatically triggering elastomeric check that Fig. 6 provides for the embodiment of the present invention two, the present embodiment is on the basis of embodiment one, it is provided that automatically trigger the another kind of structure of the device of elastomeric check.As shown in Figure 6, the device automatically triggering elastomeric check that the present embodiment provides, for performing the method automatically triggering elastomeric check of Fig. 1~embodiment illustrated in fig. 4 offer, may include that reception unit 11, signal processor 12, trigger element 13 and elastomeric check unit 14, receive unit 11 to be connected with signal processor 12, signal processor 12 is connected with trigger element 13, and trigger element 13 is connected with elastomeric check unit 14.
Wherein, signal processor 12 includes area division unit 121.
Area division unit 121, for being divided into many sub regions by scan depths corresponding for structure imaging information according to preset pitch.
Optionally, area division unit 121 may include that one-dimensional signal division unit 1211 and/or two dimensional image division unit 1212.
One-dimensional signal division unit 1211 is used for: if structure imaging information includes an One-Dimensional Ultrasonic signal, then according to preset pitch z, One-Dimensional Ultrasonic signal is divided into many sub regions Si;Wherein, i is subregion mark, and i is more than or equal to 1 and is less than or equal toD is the scan depths that One-Dimensional Ultrasonic signal is corresponding;Or,
If structure imaging information includes at least two One-Dimensional Ultrasonic signals, then at least two One-Dimensional Ultrasonic signals are divided into many sub regions T according to preset pitch zjk;Wherein, j is One-Dimensional Ultrasonic signal identification, and j is more than or equal to 1 and less than or equal to the number that G, G are One-Dimensional Ultrasonic signal, and k is the subregion mark on every One-Dimensional Ultrasonic signal, and k is more than or equal to 1 and is less than or equal topjFor the scan depths that j-th strip One-Dimensional Ultrasonic signal is corresponding.
Two dimensional image division unit 1212 is used for: if structure imaging information includes two-dimensional structure image, then according to preset pitch z, two-dimensional structure image is divided into many sub regions Vxy;Wherein, x is the subregion mark in the two-dimensional structure image scanning degree of depth, and x is more than or equal to 1 and is less than or equal toQ is the scan depths that two-dimensional structure image is corresponding, and y is the subregion mark on two-dimensional structure picture traverse, and y is more than or equal to 1 and is less than or equal toW is two-dimensional structure image pixel value on width, and h is two-dimensional structure image pixel value in scan depths.
Optionally, signal processor 12 includes the first judging unit 122.
First judging unit 122, for judging the scan depths of every sub regions successively, referring both to standard deviation whether to meet first pre-conditioned, first pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, referring both in the range of default average of subregion, and the standard deviation of subregion is in the range of preset standard difference.
Judge that whether the number meeting the first pre-conditioned subregion is more than the first default value.
Optionally, signal processor 12 includes the second judging unit 123 and/or the 3rd judging unit 124.
Second judging unit 123 is used for,
If structure imaging information includes at least one One-Dimensional Ultrasonic signal, judge the most successively every sub regions scan depths, refer both to, whether to meet second pre-conditioned for the m value of standard deviation and Nakagami distribution, second pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, and the m value of the Nakagami distribution of subregion is in the range of default m value.
Judge that whether the number meeting the second pre-conditioned subregion is more than the second default value.
3rd judging unit 124 is used for,
If structure imaging information includes at least two One-Dimensional Ultrasonic signals, judge the most successively every sub regions scan depths, refer both to, whether to meet the 3rd pre-conditioned for the m value of standard deviation, Nakagami distribution and cross-correlation coefficient, 3rd pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, the m value of the Nakagami distribution of subregion is in the range of default m value, and the cross-correlation coefficient of subregion is in the range of default cross-correlation coefficient.
Determine that the number meeting the 3rd pre-conditioned subregion on One-Dimensional Ultrasonic signal is effective One-Dimensional Ultrasonic signal more than the One-Dimensional Ultrasonic signal of the 3rd default value.
Judge that whether the number of effective One-Dimensional Ultrasonic signal is more than the 4th default value.
Optionally, receive unit 11 to include: ultrasonic transducer 111 and ultrasonic transmission/reception unit 112, ultrasonic transducer 111 is connected with ultrasonic transmission/reception unit 112, and ultrasonic transmission/reception unit 112 is connected with signal processor 12.Wherein, ultrasonic transmission/reception unit 112, for sending ultrasound wave by ultrasonic transducer 111 and receiving the structure imaging information of biological tissue.
Optionally, elastomeric check unit 14 includes: shearing wave excites unit 141, and at least one in vibrator 142, microphone 143 and ultrasonic transducer 144, wherein, at least one in vibrator 142, microphone 143 and ultrasonic transducer 144 excites unit 141 to be connected with shearing wave, and shearing wave excites unit 141 to be connected with trigger element 13.Wherein, shearing wave excites unit 141, carries out elastomeric check for sending shearing wave by least one in vibrator 142, microphone 143 and ultrasonic transducer 144 to biological tissue according to triggering command.
Optionally, shearing wave excites unit 141 to be connected with the ultrasonic transducer 111 received in unit 11.Wherein, shearing wave excites unit 141, carries out elastomeric check for sending shearing wave by ultrasonic transducer 111 to biological tissue according to triggering command.
Optionally, ultrasonic transducer 111 is multiple, and multiple ultrasonic transducers 111 are transversely arranged for one-dimensional array, or, multiple ultrasonic transducers 111 are horizontal, longitudinal arrangement is two-dimensional array.
Optionally, the device automatically triggering elastomeric check can also include that image-generating unit (not shown), image-generating unit are connected with signal processor 12, for the viscoelastic parameters of biological tissue is carried out imaging.
Last it is noted that various embodiments above is only in order to illustrate technical scheme, it is not intended to limit;Although the present invention being described in detail with reference to foregoing embodiments, it will be understood by those within the art that: the technical scheme described in foregoing embodiments still can be modified by it, or the most some or all of technical characteristic is carried out equivalent;And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.

Claims (15)

1. the method for an automatic triggering elastomeric check, it is characterised in that including:
Receive the structure imaging information of biological tissue;
Described structure imaging information is carried out region and divides the many sub regions of acquisition, obtain the signal characteristic of every sub regions, judge that whether the number meeting pre-conditioned subregion is more than default value according to described signal characteristic;
The most then trigger and described biological tissue is carried out elastomeric check.
Method the most according to claim 1, it is characterised in that the described region that carries out described structure imaging information divides the many sub regions of acquisition, including:
Scan depths corresponding for described structure imaging information is divided into many sub regions according to preset pitch.
Method the most according to claim 2, it is characterised in that described structure imaging information includes an One-Dimensional Ultrasonic signal, described is divided into many sub regions by scan depths corresponding for described structure imaging information according to preset pitch, including:
Described One-Dimensional Ultrasonic signal is divided into many sub regions S according to preset pitch zi;Wherein, i is subregion mark, and i is more than or equal to 1 and is less than or equal toD is the scan depths that described One-Dimensional Ultrasonic signal is corresponding;
Or,
Described structure imaging information includes at least two One-Dimensional Ultrasonic signals, described according to preset pitch, scan depths corresponding for described structure imaging information is divided into many sub regions, including:
Described at least two One-Dimensional Ultrasonic signals are divided into many sub regions T according to preset pitch zjk;Wherein, j is One-Dimensional Ultrasonic signal identification, and j is more than or equal to 1 and less than or equal to the number that G, G are One-Dimensional Ultrasonic signal, and k is the subregion mark on every One-Dimensional Ultrasonic signal, and k is more than or equal to 1 and is less than or equal topjFor the scan depths that j-th strip One-Dimensional Ultrasonic signal is corresponding;
Or,
Described structure imaging information includes two-dimensional structure image, described according to preset pitch, scan depths corresponding for described structure imaging information is divided into many sub regions, including:
Described two-dimensional structure image is divided into many sub regions V according to preset pitch zxy;Wherein, x is the subregion mark in the two-dimensional structure image scanning degree of depth, and x is more than or equal to 1 and is less than or equal toQ is the scan depths that two-dimensional structure image is corresponding, and y is the subregion mark on two-dimensional structure picture traverse, and y is more than or equal to 1 and is less than or equal toW is two-dimensional structure image pixel value on width, and h is two-dimensional structure image pixel value in scan depths.
4. according to the arbitrary described method of claims 1 to 3, it is characterised in that described signal characteristic includes: in described subregion, signal envelope refers both to the standard deviation with signal envelope.
Method the most according to claim 4, it is characterised in that described structure imaging information includes at least one One-Dimensional Ultrasonic signal, described signal characteristic also includes: the m value of the Nakagami distribution of signal envelope in described subregion;
Or,
Described structure imaging information includes at least two One-Dimensional Ultrasonic signals, described signal characteristic also includes: the m value of the Nakagami distribution of signal envelope in described subregion, and the cross-correlation coefficient of the signal being on any two One-Dimensional Ultrasonic signals between two sub regions of the same scan degree of depth.
Method the most according to claim 4, it is characterised in that described judge to meet the number of pre-conditioned subregion whether more than default value according to described signal characteristic, including:
Judge successively every sub regions scan depths, described in refer both to and described standard deviation whether to meet first pre-conditioned, described first pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, referring both in the range of default average of subregion, and the standard deviation of subregion is in the range of preset standard difference;
Judge that whether the number meeting described first pre-conditioned subregion is more than the first default value.
Method the most according to claim 5, it is characterised in that described structure imaging information includes at least one One-Dimensional Ultrasonic signal, described judges to meet the number of pre-conditioned subregion whether more than default value according to described signal characteristic, including:
Judge successively every sub regions scan depths, described in refer both to, whether to meet second pre-conditioned for the m value of described standard deviation and described Nakagami distribution, described second pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, and the m value of the Nakagami distribution of subregion is in the range of default m value;
Judge that whether the number meeting described second pre-conditioned subregion is more than the second default value;
Or,
Described structure imaging information includes at least two One-Dimensional Ultrasonic signals, described judges to meet the number of pre-conditioned subregion whether more than default value according to described signal characteristic, including:
Judge successively every sub regions scan depths, described in refer both to, whether to meet the 3rd pre-conditioned for the m value of described standard deviation, described Nakagami distribution and described cross-correlation coefficient, described 3rd pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, the m value of the Nakagami distribution of subregion is in the range of default m value, and the cross-correlation coefficient of subregion is in the range of default cross-correlation coefficient;
Determine that the number meeting described 3rd pre-conditioned subregion on One-Dimensional Ultrasonic signal is effective One-Dimensional Ultrasonic signal more than the One-Dimensional Ultrasonic signal of the 3rd default value;
Judge that whether the number of described effective One-Dimensional Ultrasonic signal is more than the 4th default value.
8. according to the arbitrary described method of claims 1 to 3, it is characterised in that described structure imaging information includes at least one in One-Dimensional Ultrasonic signal and two-dimensional structure image;
The described region that carries out described structure imaging information divides the many sub regions of acquisition, obtains the signal characteristic of every sub regions, judges whether the number meeting pre-conditioned subregion is more than default value according to described signal characteristic, including:
At least one in One-Dimensional Ultrasonic signal and two-dimensional structure image is carried out region and divides the many sub regions of acquisition, obtain the signal characteristic of every sub regions, judge that whether the number meeting pre-conditioned subregion is more than described default value according to signal characteristic.
9. the device of an automatic triggering elastomeric check, it is characterised in that including: receive unit, signal processor, trigger element and elastomeric check unit;Described reception unit is connected with described signal processor, and described signal processor is connected with described trigger element, and described trigger element is connected with described elastomeric check unit;
Described reception unit, for receiving the structure imaging information of biological tissue;
Described signal processor, divides the many sub regions of acquisition for described structure imaging information carries out region, obtains the signal characteristic of every sub regions, judges that whether the number meeting pre-conditioned subregion is more than default value according to described signal characteristic;
The most described trigger element sends triggering command to described elastomeric check unit, and described triggering command is used for indicating described elastomeric check unit that described biological tissue is carried out elastomeric check.
Device the most according to claim 9, it is characterised in that described signal processor includes area division unit;
Described area division unit, for being divided into many sub regions by scan depths corresponding for described structure imaging information according to preset pitch.
11. devices according to claim 10, it is characterised in that described area division unit includes: one-dimensional signal division unit and/or two dimensional image division unit;
Described one-dimensional signal division unit is used for: if described structure imaging information includes an One-Dimensional Ultrasonic signal, then according to preset pitch z, described One-Dimensional Ultrasonic signal is divided into many sub regions Si;Wherein, i is subregion mark, and i is more than or equal to 1 and is less than or equal toD is the scan depths that described One-Dimensional Ultrasonic signal is corresponding;Or,
If described structure imaging information includes at least two One-Dimensional Ultrasonic signals, then described at least two One-Dimensional Ultrasonic signals are divided into many sub regions T according to preset pitch zjk;Wherein, j is One-Dimensional Ultrasonic signal identification, and j is more than or equal to 1 and less than or equal to the number that G, G are One-Dimensional Ultrasonic signal, and k is the subregion mark on every One-Dimensional Ultrasonic signal, and k is more than or equal to 1 and is less than or equal topjFor the scan depths that j-th strip One-Dimensional Ultrasonic signal is corresponding;
Described two dimensional image division unit is used for: if described structure imaging information includes two-dimensional structure image, then according to preset pitch z, described two-dimensional structure image is divided into many sub regions Vxy;Wherein, x is the subregion mark in the two-dimensional structure image scanning degree of depth, and x is more than or equal to 1 and is less than or equal toQ is the scan depths that two-dimensional structure image is corresponding, and y is the subregion mark on two-dimensional structure picture traverse, and y is more than or equal to 1 and is less than or equal toW is two-dimensional structure image pixel value on width, and h is two-dimensional structure image pixel value in scan depths.
12. according to the arbitrary described device of claim 9 to 11, it is characterised in that described signal characteristic includes: in described subregion, signal envelope refers both to the standard deviation with signal envelope.
13. devices according to claim 12, it is characterised in that described structure imaging information includes at least one One-Dimensional Ultrasonic signal, described signal characteristic also includes: the m value of the Nakagami distribution of signal envelope in described subregion;
Or,
Described structure imaging information includes at least two One-Dimensional Ultrasonic signals, described signal characteristic also includes: the m value of the Nakagami distribution of signal envelope in described subregion, and the cross-correlation coefficient of the signal being on any two One-Dimensional Ultrasonic signals between two sub regions of the same scan degree of depth.
14. devices according to claim 12, it is characterised in that described signal processor includes the first judging unit;
Described first judging unit, for judge successively every sub regions scan depths, described in refer both to and described standard deviation whether to meet first pre-conditioned, described first pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, referring both in the range of default average of subregion, and the standard deviation of subregion is in the range of preset standard difference;
Judge that whether the number meeting described first pre-conditioned subregion is more than the first default value.
15. devices according to claim 13, it is characterised in that described signal processor includes the second judging unit and/or the 3rd judging unit;
Described second judging unit is used for,
If described structure imaging information includes at least one One-Dimensional Ultrasonic signal, judge the most successively every sub regions scan depths, described in refer both to, whether to meet second pre-conditioned for the m value of described standard deviation and described Nakagami distribution, described second pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, and the m value of the Nakagami distribution of subregion is in the range of default m value;
Judge that whether the number meeting described second pre-conditioned subregion is more than the second default value;
Described 3rd judging unit is used for,
If described structure imaging information includes at least two One-Dimensional Ultrasonic signals, judge the scan depths of every sub regions the most successively, described refer both to, described standard deviation, it is pre-conditioned whether the m value of described Nakagami distribution and described cross-correlation coefficient meet the 3rd, described 3rd pre-conditioned includes: the scan depths of subregion is in the range of default scan depths, subregion refer both in the range of default average, the standard deviation of subregion is in the range of preset standard difference, the m value of the Nakagami distribution of subregion is in the range of default m value, and the cross-correlation coefficient of subregion is in the range of default cross-correlation coefficient;
Determine that the number meeting described 3rd pre-conditioned subregion on One-Dimensional Ultrasonic signal is effective One-Dimensional Ultrasonic signal more than the One-Dimensional Ultrasonic signal of the 3rd default value;
Judge that whether the number of described effective One-Dimensional Ultrasonic signal is more than the 4th default value.
CN201610136874.9A 2016-03-10 2016-03-10 Method and device for automatically triggering elastic detection Pending CN105816204A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201610136874.9A CN105816204A (en) 2016-03-10 2016-03-10 Method and device for automatically triggering elastic detection
PCT/CN2016/103517 WO2017152629A1 (en) 2016-03-10 2016-10-27 Method and device for automatically triggering elasticity measurement

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610136874.9A CN105816204A (en) 2016-03-10 2016-03-10 Method and device for automatically triggering elastic detection

Publications (1)

Publication Number Publication Date
CN105816204A true CN105816204A (en) 2016-08-03

Family

ID=56987628

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610136874.9A Pending CN105816204A (en) 2016-03-10 2016-03-10 Method and device for automatically triggering elastic detection

Country Status (1)

Country Link
CN (1) CN105816204A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017152629A1 (en) * 2016-03-10 2017-09-14 无锡海斯凯尔医学技术有限公司 Method and device for automatically triggering elasticity measurement
WO2021008217A1 (en) * 2019-07-15 2021-01-21 无锡海斯凯尔医学技术有限公司 Tissue imaging and parameter detection system
WO2021109112A1 (en) * 2019-12-06 2021-06-10 深圳迈瑞生物医疗电子股份有限公司 Ultrasound imaging method and ultrasound imaging system
US20210338204A1 (en) * 2018-08-29 2021-11-04 Koninklijke Philips N.V. Ultrasound system and methods for smart shear wave elastography

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103040524A (en) * 2012-12-24 2013-04-17 深圳先进技术研究院 Device and method for reducing interference of physiological activities to medical imaging or measuring results
WO2014207668A1 (en) * 2013-06-26 2014-12-31 Koninklijke Philips N.V. Elastography measurement system and method
CN104398272A (en) * 2014-10-21 2015-03-11 无锡海斯凯尔医学技术有限公司 Method and device for selecting detection area and flexible detection system
CN205458792U (en) * 2016-03-10 2016-08-17 无锡海斯凯尔医学技术有限公司 Automatic trigger device that elasticity detected

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103040524A (en) * 2012-12-24 2013-04-17 深圳先进技术研究院 Device and method for reducing interference of physiological activities to medical imaging or measuring results
WO2014207668A1 (en) * 2013-06-26 2014-12-31 Koninklijke Philips N.V. Elastography measurement system and method
CN104398272A (en) * 2014-10-21 2015-03-11 无锡海斯凯尔医学技术有限公司 Method and device for selecting detection area and flexible detection system
CN205458792U (en) * 2016-03-10 2016-08-17 无锡海斯凯尔医学技术有限公司 Automatic trigger device that elasticity detected

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017152629A1 (en) * 2016-03-10 2017-09-14 无锡海斯凯尔医学技术有限公司 Method and device for automatically triggering elasticity measurement
US20210338204A1 (en) * 2018-08-29 2021-11-04 Koninklijke Philips N.V. Ultrasound system and methods for smart shear wave elastography
WO2021008217A1 (en) * 2019-07-15 2021-01-21 无锡海斯凯尔医学技术有限公司 Tissue imaging and parameter detection system
WO2021109112A1 (en) * 2019-12-06 2021-06-10 深圳迈瑞生物医疗电子股份有限公司 Ultrasound imaging method and ultrasound imaging system
CN114072060A (en) * 2019-12-06 2022-02-18 深圳迈瑞生物医疗电子股份有限公司 Ultrasonic imaging method and ultrasonic imaging system

Similar Documents

Publication Publication Date Title
CN105816204A (en) Method and device for automatically triggering elastic detection
US9072493B1 (en) Ultrasonic diagnostic apparatus and elastic evaluation method
CN205458792U (en) Automatic trigger device that elasticity detected
CN105212968B (en) Elastomeric check method and apparatus
KR20140097614A (en) Ultrasound probe cap and method for testing ultrasound probe using the same and ultrasound diagnosis system thereof
JP6305718B2 (en) Ultrasonic diagnostic apparatus and control program
US20120245468A1 (en) Ultrasound diagnostic apparatus and method of producing ultrasound image
WO2020075609A1 (en) Ultrasonic diagnostic device and control method for ultrasonic diagnostic device
WO2018055819A1 (en) Ultrasonic diagnostic apparatus and control method of ultrasonic diagnostic apparatus
JPWO2017033502A1 (en) Ultrasonic diagnostic apparatus and control method of ultrasonic diagnostic apparatus
WO2020113397A1 (en) Ultrasonic imaging method and ultrasonic imaging system
JP7124223B2 (en) ULTRASOUND DIAGNOSTIC SYSTEM AND CONTROL METHOD OF ULTRASOUND DIAGNOSTIC SYSTEM
CN108065964B (en) Ultrasonic imaging method, device and equipment and ultrasonic imaging probe
JP6293578B2 (en) Ultrasonic diagnostic apparatus and program
CN103137001A (en) Method and device for ultrasonic imaging device
WO2021057238A1 (en) Issue elasticity measurement method and device
CN108889589B (en) Ultrasonic transducer and ultrasonic device
JP2015054007A (en) Ultrasonic measurement device, ultrasonic imaging device and control method of ultrasonic measurement device
CN109963512B (en) Ultrasonic diagnostic apparatus
WO2017170111A1 (en) Ultrasonic diagnostic device and method for controlling ultrasonic diagnostic device
WO2017152629A1 (en) Method and device for automatically triggering elasticity measurement
JP7301587B2 (en) Ultrasound diagnostic device and display control program
WO2021010836A1 (en) Method and system for using wave analysis for speed of sound measurement
JP2014023716A (en) Ultrasonic wave observation equipment, operation method of ultrasonic wave observation equipment, and operation program of ultrasonic wave observation equipment
JP2020048928A (en) Ultrasound diagnostic apparatus and method of controlling ultrasound diagnostic apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160803

RJ01 Rejection of invention patent application after publication