CN112137649A - Ultrasonic Doppler fluid signal processing method and device - Google Patents
Ultrasonic Doppler fluid signal processing method and device Download PDFInfo
- Publication number
- CN112137649A CN112137649A CN201910579557.8A CN201910579557A CN112137649A CN 112137649 A CN112137649 A CN 112137649A CN 201910579557 A CN201910579557 A CN 201910579557A CN 112137649 A CN112137649 A CN 112137649A
- Authority
- CN
- China
- Prior art keywords
- function
- ultrasonic doppler
- signals
- signal
- fluid
- 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.)
- Withdrawn
Links
- 239000012530 fluid Substances 0.000 title claims abstract description 57
- 238000003672 processing method Methods 0.000 title abstract description 7
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 39
- 230000006870 function Effects 0.000 claims description 135
- 238000000034 method Methods 0.000 claims description 30
- 238000012545 processing Methods 0.000 claims description 8
- 238000013459 approach Methods 0.000 claims description 7
- 238000012885 constant function Methods 0.000 claims description 6
- 238000002604 ultrasonography Methods 0.000 claims description 4
- 239000008280 blood Substances 0.000 claims description 3
- 210000004369 blood Anatomy 0.000 claims description 3
- 230000017531 blood circulation Effects 0.000 abstract description 9
- 238000005259 measurement Methods 0.000 abstract description 4
- 238000000926 separation method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 3
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/06—Measuring blood flow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
- A61B8/488—Diagnostic techniques involving Doppler signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
- A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5269—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving detection or reduction of artifacts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Public Health (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physiology (AREA)
- Hematology (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
An ultrasonic Doppler fluid signal processing method and apparatus, comprising: collecting ultrasonic Doppler signals of fluid in a pipe wall, wherein clutter is mixed in the ultrasonic Doppler signals; performing empirical mode decomposition on the ultrasonic Doppler signals to obtain estimated ultrasonic Doppler pure fluid signals with clutter removed; and outputting the ultrasonic Doppler pure fluid signal. In an embodiment of the application, the acquired ultrasonic doppler signals of the fluid in the pipe wall are subjected to empirical mode decomposition to obtain estimated ultrasonic doppler pure fluid signals with clutter removed, so that the separation precision of the ultrasonic doppler fluid and the pipe wall signals is improved, and the influence of the operation complexity, the pipe wall signals and the like on the blood flow velocity measurement is reduced.
Description
Technical Field
The present application relates to the field of ultrasound, and in particular, to a method and an apparatus for processing an ultrasonic doppler fluid signal.
Background
Ultrasonic doppler technology is an important tool for diagnosing and evaluating the efficacy of diseases in the blood circulation system, particularly cardiovascular diseases, because it can perform blood flow measurement without damage. Clinically detected ultrasonic doppler blood flow signals often include wall signals that interfere with the measurement of blood flow velocity. The currently adopted method for separating the ultrasonic Doppler blood flow and the tube wall signal has the defects of low separation precision, complex operation and the like, and the accuracy of diagnosis and evaluation is influenced.
Disclosure of Invention
The application provides an ultrasonic Doppler fluid signal processing method and device.
According to a first aspect of the present application, there is provided an ultrasonic doppler fluid signal processing method comprising:
collecting ultrasonic Doppler signals of fluid in a pipe wall, wherein clutter is mixed in the ultrasonic Doppler signals;
performing empirical mode decomposition on the ultrasonic Doppler signals to obtain estimated ultrasonic Doppler pure fluid signals with clutter removed;
and outputting the ultrasonic Doppler pure fluid signal.
Further, the performing empirical mode decomposition on the ultrasonic doppler signal to obtain an estimated clutter-removed ultrasonic doppler pure fluid signal specifically includes:
decomposing the ultrasonic Doppler signals by using an empirical mode decomposition method to obtain a plurality of intrinsic mode function sequences of different frequency components;
and summing the intrinsic mode function sequences of the medium-high frequency components in the intrinsic mode function sequences to obtain the estimated pulse Doppler pure fluid signal.
Further, the decomposing the ultrasonic doppler signal by using an empirical mode decomposition method to obtain an eigenmode function sequence of a plurality of different frequency components specifically includes:
inputting the ultrasonic Doppler signal;
respectively establishing a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signals;
calculating a mean function of the maximum envelope function and the minimum envelope function;
subtracting the mean function from the ultrasonic Doppler signal to obtain a difference function;
repeating the above steps by taking the difference function as a new ultrasonic Doppler signal input until the obtained mean value function approaches to zero, wherein the difference function is an intrinsic mode function, and separating the intrinsic mode function from the ultrasonic Doppler signal;
and inputting the separated ultrasonic Doppler signals, and repeating the steps to obtain an eigenmode function sequence of different frequency components until the separated ultrasonic Doppler signals are a constant function or a monotonic function.
Further, the respectively establishing a maximum envelope function and a minimum envelope function of the ultrasonic doppler signal specifically includes:
and finding out local extreme points of the ultrasonic Doppler signals, and respectively establishing a maximum envelope function and a minimum envelope function of the ultrasonic Doppler signals by utilizing a spline interpolation method.
Further, the vessel wall comprises a vessel wall and the fluid comprises blood.
According to a second aspect of the present application, there is provided an ultrasonic doppler fluid signal processing apparatus comprising:
the acquisition module is used for acquiring ultrasonic Doppler signals of fluid in a pipe wall, and the ultrasonic Doppler signals are mixed with clutter;
the decomposition module is used for carrying out empirical mode decomposition on the ultrasonic Doppler signals to obtain estimated ultrasonic Doppler pure fluid signals with clutter removed;
and the output module is used for outputting the ultrasonic Doppler pure fluid signal.
Further, the decomposition module comprises:
the decomposition unit is used for decomposing the ultrasonic Doppler signals by an empirical mode decomposition method to obtain a plurality of intrinsic mode function sequences of different frequency components;
and the summing unit is used for summing the eigenmode function sequences of the medium-high frequency components in the eigenmode function sequences to obtain the estimated pulse Doppler pure fluid signal.
Further, the decomposition unit is further configured to input the ultrasonic doppler signal; respectively establishing a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signals; calculating a mean function of the maximum envelope function and the minimum envelope function; subtracting the mean function from the ultrasonic Doppler signal to obtain a difference function; repeating the above steps by taking the difference function as a new ultrasonic Doppler signal input until the obtained mean value function approaches zero, wherein the difference function is an intrinsic mode function; separating the eigenmode function from the ultrasonic Doppler signals, inputting the separated ultrasonic Doppler signals, repeating the steps to obtain different eigenmode function sequences until the separated ultrasonic Doppler signals are a constant function or a monotonous function.
Further, the decomposition unit is further configured to find a local extreme point of the ultrasonic doppler signal, and respectively establish a maximum envelope function and a minimum envelope function of the ultrasonic doppler signal by using a spline interpolation method.
According to a third aspect of the present application, there is provided an ultrasonic doppler fluid signal processing apparatus comprising:
a memory for storing a program;
a processor for implementing the above method by executing the program stored in the memory.
Due to the adoption of the technical scheme, the beneficial effects of the application are as follows:
in an embodiment of the application, the acquired ultrasonic doppler signals of the fluid in the pipe wall are subjected to empirical mode decomposition to obtain estimated ultrasonic doppler pure fluid signals with clutter removed, so that the separation precision of the ultrasonic doppler fluid and the pipe wall signals is improved, and the influence of the operation complexity, the pipe wall signals and the like on the blood flow velocity measurement is reduced.
Drawings
FIG. 1 is a flow chart of the method of the present application in one embodiment;
FIG. 2 is a flow chart of the method of the present application in another embodiment;
FIG. 3 is a schematic diagram of an EMD decomposition process of the present application;
FIG. 4 is a schematic diagram of program modules in one embodiment of the apparatus of the present application;
FIG. 5 is a schematic diagram of program modules in another embodiment of the apparatus of the present application.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. The present application may be embodied in many different forms and is not limited to the embodiments described in the present embodiment. The following detailed description is provided to facilitate a more thorough understanding of the present disclosure, and the words used to indicate orientation, top, bottom, left, right, etc. are used solely to describe the illustrated structure in connection with the accompanying figures.
One skilled in the relevant art will recognize, however, that one or more of the specific details can be omitted, or other methods, components, or materials can be used. In some instances, some embodiments are not described or not described in detail.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning.
Furthermore, the technical features, aspects or characteristics described herein may be combined in any suitable manner in one or more embodiments. It will be readily appreciated by those of skill in the art that the order of the steps or operations of the methods associated with the embodiments provided herein may be varied. Thus, any sequence in the figures and examples is for illustrative purposes only and does not imply a requirement in a certain order unless explicitly stated to require a certain order.
The first embodiment is as follows:
as shown in fig. 1, an embodiment of the ultrasonic doppler fluid signal processing method of the present application includes the following steps:
step 102: and collecting ultrasonic Doppler signals of fluid in the pipe wall, wherein clutter is mixed in the ultrasonic Doppler signals. Wherein the clutter comprises a vessel wall signal.
Step 104: empirical Mode Decomposition (EMD) is performed on the ultrasonic doppler signal to obtain an estimated clutter-removed ultrasonic doppler pure fluid signal.
Step 106: and outputting an ultrasonic Doppler pure fluid signal.
Further, step 104 may specifically include the following steps:
step 1042: and decomposing the ultrasonic Doppler signals by using an empirical mode decomposition method to obtain a plurality of eigenmode function sequences of different frequency components.
Step 1044: and summing the intrinsic mode function sequences of the medium-high frequency components in the intrinsic mode function sequences to obtain the pulse Doppler pure fluid signal.
Further, step 1042 may be specifically implemented by the following steps:
step 10420: inputting an ultrasonic Doppler signal to be decomposed;
step 10422: and respectively establishing a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signals.
Further, a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signal are established, and the local extreme point of the ultrasonic Doppler signal is found and the ultrasonic Doppler signal is achieved by utilizing a spline interpolation method.
Step 10424: and calculating a mean function of the maximum value envelope function and the minimum value envelope function.
Step 10426: and subtracting the mean function from the ultrasonic Doppler signal to obtain a difference function.
Step 10428: the difference function is used as a new ultrasonic doppler signal input, and steps 10422 to 10426 are repeated until the obtained mean function approaches zero, at which time the difference function is an eigenmode function, which is separated from the ultrasonic doppler signal.
Step 10429: and inputting the separated ultrasonic Doppler signals, and repeating the steps to obtain an eigenmode function sequence of different frequency components until the separated ultrasonic Doppler signals are a constant function or a monotonic function.
In one embodiment, the vessel wall comprises a vessel wall and the fluid comprises blood.
As shown in fig. 2, a specific application example of the ultrasonic doppler fluid signal processing method of the present application includes the following steps:
step 202: a fluid IQ signal x (t) mixed with noise such as a wall signal is input. Namely, the fluidic IQ signal x (t) is input as the signal to be decomposed.
Step 204: and respectively establishing a maximum value envelope function and a minimum value envelope function of the signal.
Finding all local extreme points x (t), and respectively establishing a maximum envelope function and a minimum envelope function of the signal by utilizing a spline interpolation method
Step 206: and calculating a mean function of the maximum value envelope function and the minimum value envelope function, and subtracting the mean function from the signal to obtain a difference function.
Step 208: and judging whether the mean function approaches zero, if so, turning to the step 210, otherwise, turning to the step 202. After step 202, the input fluid signal is a function of the difference at that time.
Step 210: the difference function c1(t) is the first obtained IMF (intrinsic mode function), and the intrinsic mode function is separated from the original signal to obtain a separated signal, where the first separated signal is x1(t) ═ x (t) -c1 (t).
Step 212: and judging whether the separated signal is a constant value function or a monotonous function. If not, the separated signal is used as input, and the steps 202 to 208 are repeated to obtain the next IMF, if so, the step 214 is executed.
Step 214: and (4) completing the decomposition to obtain IMF sequences of a plurality of different frequency components.
After decomposition by the EMD algorithm, as shown in fig. 3, several IMF sequences c1(t), c2(t) ·.
Step 216: and summing the IMF sequences of the medium-high frequency components to be used as the estimation of the pulse Doppler pure fluid signal so as to achieve the purpose of separating the ultrasonic pulse Doppler blood flow and the pipe wall signal. Because the doppler signal of the blood vessel wall is high amplitude and low frequency and the doppler signal of the blood flow is low amplitude and high frequency, the summation of the IMF sequence of the medium and high frequency components can be used as an estimate of the pulse doppler pure fluid signal.
Step 220: and outputting the estimated pulse Doppler pure fluid signal.
Example two:
as shown in fig. 4 and 5, an embodiment of the ultrasonic doppler fluid signal processing apparatus of the present application includes an acquisition module, a decomposition module, and an output module.
The acquisition module is used for acquiring ultrasonic Doppler signals of fluid in a pipe wall, and the ultrasonic Doppler signals are mixed with clutter;
the decomposition module is used for carrying out empirical mode decomposition on the ultrasonic Doppler signals to obtain ultrasonic Doppler pure fluid signals with clutter removed;
and the output module is used for outputting the ultrasonic Doppler pure fluid signal.
Further, the decomposition module may further include a decomposition unit and a summation unit.
The decomposition unit is used for decomposing the ultrasonic Doppler signals by using an empirical mode decomposition method to obtain a plurality of intrinsic mode function sequences of different frequency components;
and the summing unit is used for summing the eigenmode function sequences of the medium-high frequency components in the eigenmode function sequences to obtain the estimated pulse Doppler pure fluid signal.
Further, the decomposition unit is further configured to input the ultrasonic doppler signal; respectively establishing a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signals; calculating a mean function of the maximum envelope function and the minimum envelope function; subtracting the mean function from the ultrasonic Doppler signal to obtain a difference function; repeating the above steps by taking the difference function as a new ultrasonic Doppler signal input until the obtained mean value function approaches zero, wherein the difference function is an intrinsic mode function; separating the eigenmode function from the ultrasonic Doppler signals, inputting the separated ultrasonic Doppler signals, repeating the steps to obtain different eigenmode function sequences until the separated ultrasonic Doppler signals are a constant function or a monotonous function.
Furthermore, the decomposition unit is further configured to find a local extreme point of the ultrasonic doppler signal, and respectively establish a maximum envelope function and a minimum envelope function of the ultrasonic doppler signal by using a spline interpolation method.
Example three:
the ultrasonic doppler flow signal processing apparatus of the present application, in one embodiment, includes a memory and a processor.
A memory for storing a program;
and the processor is used for executing the program stored in the memory to realize the method in the first embodiment.
Those skilled in the art will appreciate that all or part of the steps of the various methods in the above embodiments may be implemented by instructions associated with hardware via a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read-only memory, random access memory, magnetic or optical disk, and the like.
The foregoing is a more detailed description of the present application in connection with specific embodiments thereof, and it is not intended that the present application be limited to the specific embodiments thereof. It will be apparent to those skilled in the art from this disclosure that many more simple derivations or substitutions can be made without departing from the spirit of the disclosure.
Claims (10)
1. A method of ultrasonic doppler fluid signal processing, comprising:
collecting ultrasonic Doppler signals of fluid in a pipe wall, wherein clutter is mixed in the ultrasonic Doppler signals;
performing empirical mode decomposition on the ultrasonic Doppler signals to obtain estimated ultrasonic Doppler pure fluid signals with clutter removed;
and outputting the ultrasonic Doppler pure fluid signal.
2. The method of claim 1, wherein said performing empirical mode decomposition of the ultrasonic doppler signal to obtain an estimated clutter removed ultrasonic doppler pure fluid signal comprises:
decomposing the ultrasonic Doppler signals by using an empirical mode decomposition method to obtain a plurality of intrinsic mode function sequences of different frequency components;
and summing the intrinsic mode function sequences of the medium-high frequency components in the intrinsic mode function sequences to obtain the estimated pulse Doppler pure fluid signal.
3. The method according to claim 2, wherein the decomposing the ultrasonic doppler signal by using an empirical mode decomposition method to obtain a plurality of eigenmode function sequences of different frequency components comprises:
inputting the ultrasonic Doppler signal;
respectively establishing a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signals;
calculating a mean function of the maximum envelope function and the minimum envelope function;
subtracting the mean function from the ultrasonic Doppler signal to obtain a difference function;
repeating the above steps by taking the difference function as a new ultrasonic Doppler signal input until the obtained mean value function approaches to zero, wherein the difference function is an intrinsic mode function, and separating the intrinsic mode function from the ultrasonic Doppler signal;
and inputting the separated ultrasonic Doppler signals, and repeating the steps to obtain an eigenmode function sequence of different frequency components until the separated ultrasonic Doppler signals are a constant function or a monotonic function.
4. The method according to claim 3, wherein the establishing a maximum envelope function and a minimum envelope function of the ultrasound doppler signal respectively comprises:
and finding out local extreme points of the ultrasonic Doppler signals, and respectively establishing a maximum envelope function and a minimum envelope function of the ultrasonic Doppler signals by utilizing a spline interpolation method.
5. The method of claim 1, wherein the vessel wall comprises a vessel wall and the fluid comprises blood.
6. An ultrasonic doppler fluid signal processing apparatus, comprising:
the acquisition module is used for acquiring ultrasonic Doppler signals of fluid in a pipe wall, and the ultrasonic Doppler signals are mixed with clutter;
the decomposition module is used for carrying out empirical mode decomposition on the ultrasonic Doppler signals to obtain estimated ultrasonic Doppler pure fluid signals with clutter removed;
and the output module is used for outputting the ultrasonic Doppler pure fluid signal.
7. The apparatus of claim 5, wherein the decomposition module comprises:
the decomposition unit is used for decomposing the ultrasonic Doppler signals by using an empirical mode decomposition method to obtain a plurality of intrinsic mode function sequences of different frequency components;
and the summing unit is used for summing the eigenmode function sequences of the medium-high frequency components in the eigenmode function sequences to obtain the estimated pulse Doppler pure fluid signal.
8. The apparatus of claim 6, wherein the decomposition unit is further configured to input the ultrasonic Doppler signal; respectively establishing a maximum value envelope function and a minimum value envelope function of the ultrasonic Doppler signals; calculating a mean function of the maximum envelope function and the minimum envelope function; subtracting the mean function from the ultrasonic Doppler signal to obtain a difference function; repeating the above steps by taking the difference function as a new ultrasonic Doppler signal input until the obtained mean value function approaches zero, wherein the difference function is an intrinsic mode function; separating the eigenmode function from the ultrasonic Doppler signals, inputting the separated ultrasonic Doppler signals, repeating the steps to obtain different eigenmode function sequences until the separated ultrasonic Doppler signals are a constant function or a monotonous function.
9. The apparatus of claim 7, wherein the decomposition unit is further configured to find local extrema of the ultrasound doppler signal, and establish a maximum envelope function and a minimum envelope function of the ultrasound doppler signal by spline interpolation, respectively.
10. An ultrasonic doppler fluid signal processing apparatus, comprising:
a memory for storing a program;
a processor for implementing the method of any one of claims 1-4 by executing a program stored by the memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910579557.8A CN112137649A (en) | 2019-06-28 | 2019-06-28 | Ultrasonic Doppler fluid signal processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910579557.8A CN112137649A (en) | 2019-06-28 | 2019-06-28 | Ultrasonic Doppler fluid signal processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112137649A true CN112137649A (en) | 2020-12-29 |
Family
ID=73891594
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910579557.8A Withdrawn CN112137649A (en) | 2019-06-28 | 2019-06-28 | Ultrasonic Doppler fluid signal processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112137649A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104224232A (en) * | 2014-09-25 | 2014-12-24 | 飞依诺科技(苏州)有限公司 | Ultrasonic harmonic imaging method and device |
| CN106344072A (en) * | 2016-09-23 | 2017-01-25 | 云南大学 | Ultrasonic probe for collecting arterial pulse signals and lumen internal wall face blood signals in corresponding positions |
| CN107389974A (en) * | 2017-07-31 | 2017-11-24 | 天津大学 | Gas-Liquid Slug Flow structure flow velocity acoustic-electric bimodal measuring method |
| CN109583350A (en) * | 2018-11-22 | 2019-04-05 | 江苏方天电力技术有限公司 | A kind of high-precision denoising method of local ultrasound array signal |
-
2019
- 2019-06-28 CN CN201910579557.8A patent/CN112137649A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104224232A (en) * | 2014-09-25 | 2014-12-24 | 飞依诺科技(苏州)有限公司 | Ultrasonic harmonic imaging method and device |
| CN106344072A (en) * | 2016-09-23 | 2017-01-25 | 云南大学 | Ultrasonic probe for collecting arterial pulse signals and lumen internal wall face blood signals in corresponding positions |
| CN107389974A (en) * | 2017-07-31 | 2017-11-24 | 天津大学 | Gas-Liquid Slug Flow structure flow velocity acoustic-electric bimodal measuring method |
| CN109583350A (en) * | 2018-11-22 | 2019-04-05 | 江苏方天电力技术有限公司 | A kind of high-precision denoising method of local ultrasound array signal |
Non-Patent Citations (2)
| Title |
|---|
| YUFENG ZHANG ET AL: "The Removal of Wall Components in Doppler Ultrasound Signals by Using the Empirical Mode Decomposition Algorithm", 《IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING》 * |
| 杨彦利 等: "基于经验模态分解的多普勒信号提取", 《制导与引信》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101766496B (en) | Noise estimating method, key optimizing method and system thereof | |
| US5628321A (en) | Processing velocity information in an ultrasonic system | |
| CN103458799A (en) | Ultrasonic diagnosis device, and blood vessel detection method | |
| US20110118606A1 (en) | Adaptively performing clutter filtering in an ultrasound system | |
| CN112130142B (en) | Method and system for extracting micro Doppler features of complex moving target | |
| CN100531674C (en) | Ultrasonographic device | |
| JP2003245279A (en) | Method and apparatus for automatically controlling spectral doppler imaging | |
| CN1296012C (en) | Full digital ultrasonic spectral Doppler imaging method and equipment | |
| CN109450406A (en) | A kind of filter construction based on Recognition with Recurrent Neural Network | |
| JP2736584B2 (en) | High-speed operation device and method, signal analysis system, and measurement device and method | |
| CN112137649A (en) | Ultrasonic Doppler fluid signal processing method and device | |
| US20190298298A1 (en) | Ultrasound imaging method | |
| CN113608190B (en) | Sea surface target detection method and system based on three characteristics of singular space | |
| CN103815933A (en) | Ultrasonic imaging processing method and ultrasonic imaging processing system based on RF (radio frequency) data | |
| CN110349203A (en) | A kind of measurement method of ultrasonic device and its ultrasound image medium vessels diameter | |
| CN106772382A (en) | Multi-targets recognition matching method and system and Anticollision Radar | |
| Fritsch et al. | A digital envelope detection filter for real-time operation | |
| CN114676732B (en) | Chromatographic peak filtering method and system based on improved Kalman filtering algorithm | |
| CN109839179B (en) | Phase and amplitude detection system, method and medium for multi-channel ultrasonic signals | |
| CN109799284A (en) | A kind of multiple harmonic auto-adaptive separating method of ultrasound echo signal | |
| US6045504A (en) | Method and apparatus for polynomial approximation of nonlinear operations in medical ultrasound imaging | |
| Djemal et al. | An FPGA-based implementation of HW/SW architecture for CFAR radar target detector | |
| Stevenson et al. | Multiple-view time–frequency distribution based on the empirical mode decomposition | |
| KR101541606B1 (en) | Envelope detection method and apparatus of ultrasound signal | |
| CN111121678B (en) | Pipeline wall thickness detection method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201229 |