CN105476665B - A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound - Google Patents

A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound Download PDF

Info

Publication number
CN105476665B
CN105476665B CN201610054981.7A CN201610054981A CN105476665B CN 105476665 B CN105476665 B CN 105476665B CN 201610054981 A CN201610054981 A CN 201610054981A CN 105476665 B CN105476665 B CN 105476665B
Authority
CN
China
Prior art keywords
blood flow
signal
sub
flow
blood
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610054981.7A
Other languages
Chinese (zh)
Other versions
CN105476665A (en
Inventor
刘西耀
刘鑫
邹长俊
刘东权
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.)
Chengdu Polytechnic Medical Technology Co Ltd
Original Assignee
Chengdu Polytechnic Medical Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Polytechnic Medical Technology Co Ltd filed Critical Chengdu Polytechnic Medical Technology Co Ltd
Priority to CN201610054981.7A priority Critical patent/CN105476665B/en
Publication of CN105476665A publication Critical patent/CN105476665A/en
Application granted granted Critical
Publication of CN105476665B publication Critical patent/CN105476665B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/06Measuring blood flow
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • 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
    • 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
    • A61B8/5207Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of raw data to produce diagnostic data, e.g. for generating an image
    • 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
    • A61B8/5215Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223Devices 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

Abstract

The present invention relates to ultrasonic imaging field, in particular to a kind of blood flow velocity measurement method and blood flow flow-measuring method based on ultrasound.Blood flow velocity measurement method provided by the invention carries out sub-sampling division by I/Q signal of N number of sub-sampling window comprising the full depth bounds of blood vessel to acquisition, it avoids in traditional D mode imaging, doctor need to constantly move sub-sampling window, and be only capable of being located at the defect that the position in sub-sampling window is detected to blood vessel;The blood distribution information of each depth location of blood vessel can be provided for user;Simultaneously, blood flow flow-measuring method provided by the invention is due to simultaneously to progress child window sampling in the full depth bounds of blood vessel, obtain the blood flow information of each position in the full depth bounds of blood vessel, and then the blood flow flow and blood flow flow jitter index more accurate according to the blood speed information acquisition in each depth bounds of blood vessel.

Description

A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound
Technical field
The present invention relates to ultrasonic measurement field, in particular to a kind of blood flow velocity measurement method and blood flow stream based on ultrasound Measuring method.
Background technique
In traditional ultrasonic Blood diagnosis, doctor mostly uses ultrasonic B-mode imaging results or D mode that (also known as pulse is imaged The imaging of wave Doppler frequency spectrum) result diagnoses blood flow disease, but since many blood flow diseases are that B-mode imaging can not be seen (such as vascular sclerosis and vascular wall early stage disease) surveyed, therefore D mode is imaged and is more and more widely used;But, by In technical restriction, existing D mode imaging only includes 1 sub- sampling window mostly, while the range that the sub-sampling window includes Very small (under D mode, can only observe the blood flowing speed information in sub-sampling window), doctor need constantly to move the son and adopt Sample window observes the blood flow information of blood vessel different depth, different location, and it is low that this undoubtedly results in detection efficiency.
Meanwhile when measuring to blood flow flow, 1 sub- sampling window is used only in existing D mode imaging, is obtained Blood flow velocity is the average speed of entire blood vessel, therefore its measurement result accuracy is very poor.
Summary of the invention
It is an object of the invention to overcome in existing D mode imaging (Pulsed-Wave Doppler spectral imaging) technology, due to Technical restriction, the low problem of detection efficiency caused by an only sub- sampling window provide a kind of comprising the full depth letter of blood vessel The blood flow information imaging method of more sub-sampling windows of breath.
Herein, vessel depth refer to tested vessel cross-sections diametrically any point to a selected end of the diameter away from From value.
In order to achieve the above-mentioned object of the invention, the present invention provides following technical schemes:
A kind of blood flow velocity measurement method based on ultrasound,
It is tested endovascular feedback radiofrequency signal certainly comprising receiving acquisition, and by the radiofrequency signal after Hilbert transform The step of obtaining discrete I/Q signal;
Also comprise the following steps:
Discrete I/Q signal is subjected to sub-sampling division by N number of sub-sampling door, N number of sub-sampling door includes all deep of blood vessel Spend range;N number of sub-sampling door can be non-cross or be slightly intersected;N is 2 or more natural numbers;
I/Q signal sequence in each sub-sampling door is subjected to compound time-domain signal, wall filter filtering, frequency domain conversion, Generate frequency-region signal;
It is imaged after calculating amplitude spectrum in the frequency-region signal obtained.
Further, the number N of sub-sampling door is determined by vessel depth and the impulse wave wavelength, i.e.,Due to sound physical properties constraint, the velocity estimation in an impulse wave wavelength is can not be again Point, so achieved most accurate velocity estimation is an impulse wave wavelength at present, so a sub- sampling gate, is The length of the length of at least one impulse wave wavelength or multiple impulse wave wavelength.
Preferably, the number of sub-sampling door takes qualified maximum even number, from the foregoing, it will be observed that the optimum length of sub-sampling door It should be the length of an impulse wave wavelength, but show and calculate for the ease of subsequent image, it is preferably that vessel depth is symmetrical It divides, i.e., respectively has N/2 sub- sampling gates from blood vessel center to two sides.
Further, the size (i.e. sample variance signal number in a pulse wavelength) of sub-sampling door is by formulaIt obtains, wherein m is the pulse signal number for including in the impulse wave for detection, is 1 or more natural Number, FsIt is sample frequency, FcIt is the centre frequency of pulse signal, the sampled point for each pulse signal, in each wavelength Number=sample frequency/(2* signal center frequency);Therefore for the impulse wave comprising m pulse signal, group sampling gate Length when being signal wavelength, the discrete sampling points for including in each sub-sampling door areIt is a, it, can be under some embodiments Pass through formulaDetermine the number of sub-sampling door N,Wherein, NnumFor collected radiofrequency signal Length, i.e., the number of collected discrete signal from blood vessel;In Fs、FcAnd under the premise of tested blood vessel diameter is identical,
Further, the time-domain signal is compound uses formula sk(i)=∑ s (i, k) is carried out, and wherein i indicates IQ letter Discrete serial number number in time, k is the serial number of sub-sampling door;S (i, k) indicates that the IQ at i moment in k-th of sub-sampling door is original Signal, sk(i) signal after time-domain meets operation is indicated.
Further, I/Q signal is converted into frequency-region signal using formulaIt carries out; Wherein, W indicates the window size of Short-time Window Fourier transformation,Frequency-region signal after indicating conversion.
Further, in the step of obtaining amplitude spectrum imaging, the amplitude spectrum passes through formulaIt obtains.
Further, after calculating amplitude spectrum in the frequency-region signal obtained, further include the steps that improving spectrum contrast; It realizes formula are as follows: P (t, ω)=∑ P by the way that amplitude spectrum to be done to composition operation realization on frequency domaink(t,ω).By After composition operation on frequency domain, the amplitude spectrum contrast of intravascular each depth can be made to be obviously improved, it can also be effectively Inhibition noise, improve frequency spectrum signal-to-noise ratio, effectively enhance frequency spectrum detail resolution, truly both inhibited noise and also promoted frequency Compose detail resolution.
Preferably, after the radiofrequency signal is converted to I/Q signal, further include the steps that, by low-pass filtering, low-pass filtering is used In filtering out DC component and idling frequency in signal.
It preferably, further include to picture smooth treatment, compression after calculating amplitude spectrum imaging in the frequency-region signal obtained The step of processing.
For the present invention in order to overcome existing D mode imaging that 1 sub- sampling window is used only, the blood flow velocity obtained is whole The average speed of a blood vessel, therefore the problem that its measurement result accuracy is very poor provide a kind of comprising the full depth information of blood vessel The blood flow flow-measuring method of more sub-sampling windows includes blood flow velocity measurement method as described above;Further include:
T is calculated according to amplitude spectrumjBlood flow velocity distributed intelligence V (k, the t at momentj) the step of;
By blood flow velocity distributed intelligence V (k, tj) integrate the step of obtaining blood flow flow;
Further, any t is calculated according to amplitude spectrumjBlood flow velocity distributed intelligence V (k, the t at momentj) using following public Formula:Wherein, ViIndicate tjK-th of sub-sampling door amplitude spectrum P of momentk(T, ω) is corresponding Blood speed;
In the step of blood flow velocity distributed intelligence V (k, T) integral is obtained blood flow flow, blood flow flow:Discrete representation isWherein, r is sub-sampling Gate-width degree, R are tested vessel radius.
Further, further include the steps that carrying out angle modification to blood flow flow;Revised blood flow flowWherein s indicates the heart contraction moment in single heartbeat period, and d was indicated in the heartbeat period Diastolic time, α indicates the angle between vascular wall and sub-sampling door.
Further, further include the steps that calculating blood flow flow jitter index, blood flow flow jitter indexWherein NhFor cardiac cycle number, xiIndicate that blood flow flow when single cardiac cycle number, u are Blood flow flow average value during entire measurement.
Compared with prior art, beneficial effects of the present invention: with traditional D mode imaging method (Pulsed-Wave Doppler frequency Spectrum imaging method) it compares, blood flow velocity measurement method provided by the invention passes through N number of sub-sampling comprising the full depth bounds of blood vessel Window carries out sub-sampling division to the I/Q signal of acquisition, and further by carrying out the I/Q signal in each sub-sampling window Time-domain is compound, frequency domain conversion, frequency domain are compound etc. operates to obtain blood flowing speed information in the full depth bounds of blood vessel everywhere, avoids In the imaging of traditional D mode, doctor need to constantly move sub-sampling window, and be only capable of position blood vessel being located in sub-sampling window into The defect of row detection;Due to imaging method provided by the invention, while to child window sampling is carried out in the full depth bounds of blood vessel, obtain The blood flow information of each position in the full depth bounds of blood vessel is taken, therefore, user can choose while watch the blood flow of entire blood vessel Information distribution, also can choose the blood flow information of a certain depth any time or any time period in blood vessel, to reduce Detection time improves detection efficiency, simplifies detection difficulty.
Meanwhile blood flow flow-measuring method provided by the invention is due to simultaneously to carrying out child window in the full depth bounds of blood vessel Sampling obtains the blood flow information of each position in the full depth bounds of blood vessel, and then according to the blood speed in each depth bounds of blood vessel The more accurate blood flow flow of information acquisition and blood flow flow jitter index.
Detailed description of the invention:
Fig. 1 is the flow chart of blood flow velocity measurement method specific embodiment of the present invention.
Fig. 2 a is the image display example block diagram in the specific embodiment of the invention.
Fig. 2 b is that the image in the specific embodiment of the invention shows example.
Fig. 3 a is the three-dimensional model diagram of each deep blood flow speed of blood vessel obtained using the image method of the invention.
Fig. 3 b is associated with signal with each area image in Fig. 2 a, Fig. 2 b for three-dimensional model diagram in Fig. 3 a.
Another image display example block diagram in Fig. 4 a specific embodiment of the invention.
Another image image in Fig. 4 b specific embodiment of the invention shows example.
Fig. 5 is blood flow flow-measuring method flow chart provided by the invention.
Fig. 6 is the blood flow flow illustrated example corresponding with time of measuring being calculated.
Fig. 7 is the blood flow flow illustrated example corresponding with the heartbeat period being calculated.
Specific embodiment
With reference to the accompanying drawing and specific embodiment the present invention is described in further detail.But this should not be interpreted as to this The range for inventing above-mentioned theme is only limitted to embodiment below, all to belong to the present invention based on the technology that the content of present invention is realized Range.
Embodiment 1: as shown in Figure 1, the present embodiment provides a kind of blood flow velocity measurement methods based on ultrasound;Comprising as follows Step:
S100: it receives acquisition and is tested endovascular feedback radiofrequency signal certainly, and by the radiofrequency signal through Hilbert transform After the step of obtaining discrete I/Q signal;The feedback radiofrequency signal is the pulsed ultrasonic wave emitted according to predetermined pulse repetition rate Feedback radiofrequency signal after being detected to blood vessel.
In this step, the following formula of process for obtaining discrete I/Q signal by Hilbert transform is expressed:
Wherein, FcIt is the centre frequency of each pulse signal in impulse wave, FsIt is sample frequency, NnumBelieve for the radio frequency of acquisition Number length, i.e., the number of collected discrete signal from blood vessel;Such as, when sample frequency is that (each second samples 20M to 20MHz A sampled point) when, the rate of sound wave pulse wave is 1540m/s (spread speed of sound in human body), then in sampling frequency It is per cm to have 260 sampled points under rate, it is assumed that arteria carotis width is 0.8cm, then at this point, the length of the radiofrequency signal of acquisition Spend Nnum=0.8*260=208 sampled point.I.e. the length of I/Q signal is 208.
S101: carrying out low-pass filtering by low-pass filter for the discrete I/Q signal, straight in signal for filtering out Flow component and idling frequency.Optionally, low pass IIR filter (Low pass IIR filter) can be used and complete this step.
S200: discrete I/Q signal is subjected to sub-sampling division by N number of sub-sampling door, N number of sub-sampling door includes blood vessel Full depth range;N is 2 or more natural numbers;Preferably, in the present embodiment, the number of sub-sampling door is to meetMaximum even number, and N number of sub-sampling door is non-cross;Due to vessel depth be far longer than it is super Ping wave wavelength, it can be considered that the gate-width of each sub-sampling door is impulse wave wavelength in the present embodiment;Sub-sampling door The advantages of number is even number is the display for facilitating calculating and image in subsequent process, preferably symmetrically divides vessel depth, Respectively there are N/2 sub- sampling gates from blood vessel center to two sides.
After the division of this step sub-sampling, the sampled point formula that includes in each sub-sampling doorIt obtains , wherein m is the pulse signal number for including in the impulse wave for detection, is 1 or more natural number, FsIt is sample frequency, FcIt is the centre frequency of pulse signal, for each pulse signal, sampling number=sample frequency in each wavelength/ (2* signal center frequency);Therefore for the impulse wave comprising m pulse signal, the length of group sampling gate is signal wave When long, the discrete sampling points for including in each sub-sampling door are
S300: compound, wall filter filtering, frequency domain by the I/Q signal sequence progress time-domain signal in each sub-sampling door Conversion generates frequency-region signal;The purpose for using wall filter to be filtered is the low velocity flow information and low speed in proposition signal Histokinesis's information, to improve the signal-to-noise ratio of succeeding spectral signal.
The time-domain signal is compound to use formula sk(i)=∑ s (i, k) is carried out, and wherein i indicates I/Q signal in time Discrete serial number, k is the serial number of sub-sampling door;S (i, k) indicates the IQ original signal at i moment in k-th of sub-sampling door, sk(i) Indicate the signal after time-domain meets operation.
It is to be realized using Fast Fourier Transform (FFT) that I/Q signal, which is converted to frequency-region signal, specific formula are as follows:Wherein, W indicates the window size of Short-time Window Fourier transformation,It indicates to turn Frequency-region signal after changing.
S400: it is imaged after calculating amplitude spectrum in the frequency-region signal obtained;The amplitude spectrum passes through formulaIt obtains.
S401: contrast is improved to the spectral image that S400 is obtained;Amplitude spectrum by being compound behaviour by it on frequency domain It realizes, realizes formula are as follows: P (t, ω)=∑ Pk(t,ω).After the composition operation on frequency domain, it can make intravascular The amplitude spectrum contrast of each depth is obviously improved, and can also effectively inhibit noise, is improved frequency spectrum signal-to-noise ratio, is effectively enhanced Frequency spectrum detail resolution had truly both inhibited noise or had promoted frequency spectrum detail resolution.
S402: the S401 image obtained is further smoothed, compression processing.
The image obtained by above-mentioned steps includes the blood flow information of each depth of blood vessel, such as intravascular any depth simultaneously Degree, the blood speed information at profound meaning moment;It can be shown according to above- mentioned information according to such as figure such as Fig. 2 a, Fig. 2 b, be divided into a-quadrant, B area (noticing that B area is not the B-mode imaging being mentioned above), the region C, the region D (pay attention to the region D not equivalent to above The D mode imaging mentioned) four regions are shown blood flow information, wherein and the segmentation axis of a-quadrant and B area is speed axis, Its unit is cm/s;The segmentation axis in B area and the region D is time shaft, and the segmentation axis in the region C and the region D is vessel depth axis;A The segmentation axis in region and the region D is vessel depth axis;Specifically, for the P of acquisitionk(t, ω) signal, k characterization therein are adopted Sample door serial number, for expressing depth information, t is serial number time, information expression time, and frequency serial number expresses velocity information;Meanwhile The B area frequency spectrum operated by the frequency multiplexed of S401 (time and speed (frequency) are composed);When time t, then A can be obtained Region frequency spectrum (depth and normal-moveout spectrum) can observe the spectral image of different moments by adjusting;Meanwhile by all speed Average, acquisition is exactly the region D frequency spectrum (reference axis is depth and time, and amplitude is average speed).
Specifically, a-quadrant displaying is the blood flow velocity distribution profile of intravascular each depth, horizontal axis indicates vessel depth, indulges Axis indicates blood flow velocity distribution in blood vessel;Characterize blood flow velocity the longitudinal axis (the segmentation axis of a-quadrant and B area) on 0 coordinate not Positioned at the point of intersection with horizontal axis, and it is above the intersection point with horizontal axis, is flowed to this is because the blood in blood vessel exists with main blood flow Opposite inverse blood flow;For the blood flow for distinguishing opposite course, optional different colours characterize different blood flow flow directions, such as main blood flow Direction is using red characterization, and inverse blood flow is using blue characterization;Generally, such as in certain depth (such as apart from the closer depth of vascular wall Degree) there is excessive inverse blood flow, show that vascular wall has protrusion, hardening or other hidden danger.Using blood provided by the invention Stream speed measurement method can obtain the blood flow information of the full depth bounds of blood vessel, avoid the occurrence of in the prior art, due to the son of doctor Sampling window is too small, the average blood speed in collected sub-sampling window because depth is not right, and fail show bleeding speed it is non-just The case where normal adverse current.
B area displaying is the blood flow frequency spectrum of a certain designated depth, and horizontal axis characterizes the sampling time, and the longitudinal axis characterizes Hemodynamic environment Degree;The designated depth that B area is shown is the depth of triangle arrow meaning on a-quadrant horizontal axis and the region the D longitudinal axis;That is, user can Arrow locations on dragging a-quadrant horizontal axis or the region the D longitudinal axis as needed, to adjust specific vessel depth that B area is shown Blood flow frequency spectrum;The blood fast time point of vertical line characterization a-quadrant in B area, that is, what a-quadrant was shown is always B area vertical line L institute Time point blood vessel depth blood speed information.
The region D is M-Color Mode blood flow frequency spectrum, and horizontal axis characterizes the sampling time, and the longitudinal axis characterizes vessel depth.
The region C is message display area domain, shows the depth value of a-quadrant horizontal axis and the region D longitudinal axis upward arrow meaning in detail.
Fig. 3 a is the three-dimensional model diagram of each deep blood flow speed of blood vessel, and the displaying for visual pattern is detected intravascular each Depth is in the blood speed information of each sampling time section, and Fig. 3 b is then each administrative division map in three-dimensional model diagram and Fig. 2 a, Fig. 2 b in Fig. 3 a As association signal.The blood flow velocity 3-D graphic in cuboid phenogram 2a in Fig. 3 b, three of the cuboid are mutually perpendicular to Side axis characterize time shaft, blood speed axis and depth axis respectively, therefore the a-quadrant view in Fig. 2 a is really rectangular shown in Fig. 3 b The cross-sectional view of body interface;B area view is really the side cross-sectional, view of cuboid shown in Fig. 3 b;And D area view is figure The top cross-sectional view of cuboid shown in 3b.
The image as shown in Fig. 4 a, Fig. 4 b, including the region E, the region F and the region G can also be formed;In the region E, tradition is shown Blood flow information measurement result, such as VS: heart contraction blood flow velocity, VD: diastolic flow speed, VM: average speed of blood stream, HR: heart rate, PI: drag index, RI: pulsating index, S/D: diastole shrinkage ratio, VFC: blood flow, it is preferred that above-mentioned parameter It is the average value during measurement;
The 5th image shown in the region F is the wave of arbitrary parameter at any time in the 4th image selected according to user It is dynamic, the specific variation of any parameter at any time can be expressed, can avoid, mean value is brought to the piece in diagnosis in the 4th image Face information can also carry out the certain special diseases of auxiliary diagnosis by the changing rule of observation curve, such as heart murmur is suffered from For person, average value shown in the 4th image cannot effectively show symptom, but the 5th image can find out its heart easily Obvious heart rate jump at any time.
The jitter value of each parameter in the 6th image in the region GWherein, u is the parameter Average value during measurement shown in the 4th image, xiFor the measurement sampled value of parameter at a certain moment.
Embodiment 2: as shown in figure 5, the present embodiment provides a kind of blood flow flow-measuring methods based on ultrasound;Comprising as follows Step:
S100: it receives acquisition and is tested endovascular feedback radiofrequency signal certainly, and by the radiofrequency signal through Hilbert transform After the step of obtaining discrete I/Q signal;The feedback radiofrequency signal is the pulsed ultrasonic wave emitted according to predetermined pulse repetition rate Feedback radiofrequency signal after being detected to blood vessel.
In this step, the following formula of process for obtaining discrete I/Q signal by Hilbert transform is expressed:
Wherein, FcIt is the centre frequency of each pulse signal in impulse wave, FsIt is sample frequency, NnumBelieve for the radio frequency of acquisition Number length, i.e., the number of collected discrete signal from blood vessel;Such as, when sample frequency is that (each second samples 20M to 20MHz A sampled point) when, the rate of sound wave pulse wave is 1540m/s (spread speed of sound in human body), then in sampling frequency It is per cm to have 260 sampled points under rate, it is assumed that arteria carotis width is 0.8cm, then at this point, the length of the radiofrequency signal of acquisition Spend Nnum=0.8*260=208 sampled point.I.e. the length of I/Q signal is 208.
S101: carrying out low-pass filtering by low-pass filter for the discrete I/Q signal, straight in signal for filtering out Flow component and idling frequency.Optionally, low pass IIR filter (Low pass IIR filter) can be used and complete this step.
S200: discrete I/Q signal is subjected to sub-sampling division by N number of sub-sampling door, N number of sub-sampling door includes blood vessel Full depth range;N is 2 or more natural numbers;Preferably, in the present embodiment, the number of sub-sampling door is to meetMaximum even number, and N number of sub-sampling door is non-cross;Due to vessel depth be far longer than it is super Ping wave wavelength, it can be considered that the gate-width of each sub-sampling door is impulse wave wavelength in the present embodiment;Sub-sampling door The advantages of number is even number is the display for facilitating calculating and image in subsequent process, preferably symmetrically divides vessel depth, Respectively there are N/2 sub- sampling gates from blood vessel center to two sides.
After the division of this step sub-sampling, the sampled point formula that includes in each sub-sampling doorIt obtains , wherein m is the pulse signal number for including in the impulse wave for detection, is 1 or more natural number, FsIt is sample frequency, FcIt is the centre frequency of pulse signal, for each pulse signal, sampling number=sample frequency in each wavelength/ (2* signal center frequency);Therefore for the impulse wave comprising m pulse signal, the length of group sampling gate is signal wave When long, the discrete sampling points for including in each sub-sampling door are
S300: compound, wall filter filtering, frequency domain by the I/Q signal sequence progress time-domain signal in each sub-sampling door Conversion generates frequency-region signal;The purpose for using wall filter to be filtered is the low velocity flow information and low speed in proposition signal Histokinesis's information, to improve the signal-to-noise ratio of succeeding spectral signal.
The time-domain signal is compound to use formula sk(i)=∑ s (i, k) is carried out, and wherein i indicates I/Q signal in time Discrete serial number, k is the serial number of sub-sampling door;S (i, k) indicates the IQ original signal at i moment in k-th of sub-sampling door, sk(i) Indicate the signal after time-domain meets operation.
It is to be realized using Fast Fourier Transform (FFT) that I/Q signal, which is converted to frequency-region signal, specific formula are as follows:Wherein, W indicates the window size of Short-time Window Fourier transformation,It indicates to turn Frequency-region signal after changing.
S400: it is imaged after calculating amplitude spectrum in the frequency-region signal obtained;The amplitude spectrum passes through formulaIt obtains.
S500: t is calculated according to amplitude spectrumjThe blood flow velocity distributed intelligence at moment Wherein, ViIndicate tjK-th of sub-sampling door amplitude spectrum P of momentk(T, ω) corresponding blood speed;;
S600: by blood flow velocity distributed intelligence V (k, tj) integral obtain blood flow flow Discrete representation isWherein, r is sub-sampling gate-width degree, and R is tested vessel radius, It preferably, can be by the way that whole sub-sampling doors be symmetrically divided into the present embodimentWithTwo parts,Then pass through formulaMeter It calculates.
S601: angle modification is carried out to blood flow flow;Revised blood flow flowS indicates single At the contraction moment of systolic cycle, d is indicated but the diastole moment of systolic cycle, α indicate vascular wall and sub-sampling door it Between angle.Fig. 6 is the blood flow flow illustrated example corresponding with time of measuring being calculated.
S602: blood flow flow jitter index, blood flow flow jitter index are calculatedWherein NhFor cardiac cycle number, xiIndicate that the blood flow flow during blood flow flow when single cardiac cycle number, u are entire measurement is average Value, when the value of Index may indicate that whether blood flow flow stable, e.g., when Index is larger (be greater than 90,100 or 120;It is determined depending on concrete condition, empirical value is to take 100), it is believed that blood flow instability of flow;Fig. 7 is the blood being calculated Flow flow illustrated example corresponding with the heartbeat period.
It should be noted that stream clock calculation is not interfere with each other with blood flow flow rate calculation.

Claims (8)

1. a kind of blood flow velocity measurement method based on ultrasound,
It is tested endovascular feedback radiofrequency signal certainly comprising receiving acquisition, and the radiofrequency signal is obtained after Hilbert transform The step of discrete I/Q signal;
It is characterized in that, also comprising the following steps:
Discrete I/Q signal is subjected to sub-sampling division by N number of sub-sampling door, N number of sub-sampling door includes all deep of tested blood vessel Spend range;N is 2 or more natural numbers;
I/Q signal sequence in each sub-sampling door is subjected to compound time-domain signal, wall filter filtering, frequency domain conversion, is generated Frequency-region signal;
Amplitude spectrum is calculated from the frequency-region signal obtained, and therefrom calculates flow speed;
The number N of sub-sampling door determines by vessel depth and impulse wave wavelength, i.e.,
The number of sub-sampling door takes qualified maximum even number;
The size of sub-sampling door is by formulaIt obtains, wherein m is the pulse for including in the impulse wave for detection Signal number is 1 or more natural number, FsIt is sample frequency, FcIt is the centre frequency of pulse signal.
2. blood flow velocity measurement method as described in claim 1, which is characterized in that the time-domain signal is compound to use formula sk(i)=∑ s (i, k) is carried out, and wherein i indicates the discrete serial number of I/Q signal in time, and k is the serial number of sub-sampling door;s(i, K) I/Q signal at i moment in k-th of sub-sampling door, s are indicatedk(i) signal after time-domain composition operation is indicated.
3. blood flow velocity measurement method as claimed in claim 2, which is characterized in that the step of frequency domain is converted is using short When window Fast Fourier Transform (FFT) realize, specific formula are as follows:Wherein, w is indicated in short-term The window size of window Fast Fourier Transform (FFT),Frequency-region signal after indicating conversion;
In the step of obtaining amplitude spectrum imaging, the amplitude spectrum passes through formulaIt obtains.
4. blood flow velocity measurement method as claimed in claim 3, which is characterized in that calculate amplitude from the frequency-region signal obtained After frequency spectrum, further include the steps that improving spectrum contrast;Amplitude spectrum by being done composition operation realization by it on frequency domain, in fact Existing formula are as follows: P (t, ω)=∑ Pk(t,ω);
After the radiofrequency signal is converted to I/Q signal, further include the steps that low-pass filtering is for filtering out letter by low-pass filtering DC component and idling frequency in number;
After calculating amplitude spectrum imaging in the frequency-region signal obtained, further include the steps that picture smooth treatment, compression processing.
5. a kind of blood flow flow-measuring method based on ultrasound, which is characterized in that comprising as described in any one of Claims 1-4 Blood flow velocity measurement method;Further include:
T is calculated according to amplitude spectrumjBlood flow velocity distributed intelligence V (k, the t at momentj) the step of;
By blood flow velocity distributed intelligence V (k, tj) integrate the step of obtaining blood flow flow.
6. blood flow flow-measuring method as claimed in claim 5, which is characterized in that calculate t according to amplitude spectrumjThe blood at moment Flow velocity flow profile information V (k, tj) use following formula:Wherein, ViIndicate tjMoment kth A sub- sampling gate amplitude spectrum Pk(T, ω) corresponding blood speed;
In the step of blood flow velocity distributed intelligence V (k, T) integral is obtained blood flow flow, blood flow flow:Discrete representation isWherein, r is sub-sampling Gate-width degree, R are tested vessel radius.
7. blood flow flow-measuring method as claimed in claim 6, which is characterized in that further include carrying out angle to blood flow flow to repair Positive step;Revised blood flow flowWherein, wherein s indicates the heart in single heartbeat period It shrinks the moment, d indicates that the diastolic time in the heartbeat period, α indicate the angle between vascular wall and sub-sampling door.
8. blood flow flow-measuring method as claimed in claim 7, which is characterized in that further include calculating blood flow flow jitter index The step of, blood flow flow jitter indexWherein NhFor cardiac cycle number, xiIndicate single heart week Blood flow flow when issue, u are the blood flow flow average value during entirely measuring.
CN201610054981.7A 2016-01-27 2016-01-27 A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound Active CN105476665B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610054981.7A CN105476665B (en) 2016-01-27 2016-01-27 A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610054981.7A CN105476665B (en) 2016-01-27 2016-01-27 A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound

Publications (2)

Publication Number Publication Date
CN105476665A CN105476665A (en) 2016-04-13
CN105476665B true CN105476665B (en) 2019-01-25

Family

ID=55664193

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610054981.7A Active CN105476665B (en) 2016-01-27 2016-01-27 A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound

Country Status (1)

Country Link
CN (1) CN105476665B (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105708494B (en) * 2016-01-27 2019-04-26 成都思多科医疗科技有限公司 A kind of blood pressure measuring method based on ultrasound
CN105997148B (en) 2016-05-26 2019-01-29 飞依诺科技(苏州)有限公司 Pulse Doppler ultrahigh spectral resolution imaging processing method and processing system
CN106955098B (en) * 2017-05-05 2020-10-16 飞依诺科技(苏州)有限公司 Blood vessel flow velocity calculation method and device
CN108186050B (en) * 2018-01-03 2021-02-23 声泰特(成都)科技有限公司 Doppler blood flow velocity imaging method and system based on ultrasonic channel data
CN109044324B (en) * 2018-06-20 2021-11-19 博动医学影像科技(上海)有限公司 Method and device for correcting blood flow characteristic value based on plaque position
CN109700452A (en) * 2018-12-06 2019-05-03 河北科技大学 A kind of velocity of blood flow distribution measurement method of limbs
CN109394200B (en) * 2018-12-16 2021-10-19 冯兴怀 Microcirculation pulse blood flow monitoring system and method for liquid treatment and volume management
CN110013275A (en) * 2019-05-20 2019-07-16 深圳市贝斯曼精密仪器有限公司 A kind of color frequency spectrum figure and frequency spectrum blood flow detection method based on ultrasonic Doppler
CN112515704B (en) * 2020-12-01 2022-07-19 声泰特(成都)科技有限公司 Blood vessel hardness measuring method based on ultrasound
CN114723684B (en) * 2022-03-22 2023-03-24 推想医疗科技股份有限公司 Model training method and device, and vascular structure generation method and device
CN116616819B (en) * 2023-07-25 2023-09-22 南京科进实业有限公司 Ultrasonic transcranial Doppler blood flow analysis system, method and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102613990A (en) * 2012-02-03 2012-08-01 声泰特(成都)科技有限公司 Display method of blood flow rate of three-dimensional ultrasonic spectrum Doppler and space distribution of blood flow rate
CN104146731A (en) * 2014-07-21 2014-11-19 深圳先进技术研究院 Estimating system and method for fluid velocity
CN104822326A (en) * 2012-09-01 2015-08-05 皇家飞利浦有限公司 Ultrasonic volume flow measurement for ablation therapy

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6196971B1 (en) * 1999-04-02 2001-03-06 Agilent Technologies, Inc. Chord propagation velocity measurement system and method for an ultrasound imaging system
US9204858B2 (en) * 2010-02-05 2015-12-08 Ultrasonix Medical Corporation Ultrasound pulse-wave doppler measurement of blood flow velocity and/or turbulence
CN102176121A (en) * 2011-01-18 2011-09-07 河海大学 Digital ultrasonic transcranial Doppler digital demodulation signal processing method and device
CN104095656B (en) * 2014-07-25 2015-12-02 声泰特(成都)科技有限公司 A kind of color flow angiography based on ultrasonic doppler frequency spectrum and display packing thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102613990A (en) * 2012-02-03 2012-08-01 声泰特(成都)科技有限公司 Display method of blood flow rate of three-dimensional ultrasonic spectrum Doppler and space distribution of blood flow rate
CN104822326A (en) * 2012-09-01 2015-08-05 皇家飞利浦有限公司 Ultrasonic volume flow measurement for ablation therapy
CN104146731A (en) * 2014-07-21 2014-11-19 深圳先进技术研究院 Estimating system and method for fluid velocity

Also Published As

Publication number Publication date
CN105476665A (en) 2016-04-13

Similar Documents

Publication Publication Date Title
CN105476665B (en) A kind of blood flow velocity measurement and blood flow flow-measuring method based on ultrasound
CN105708496B (en) A kind of blood flow information multiplanar imaging system based on ultrasound
Barber et al. A new time domain technique for velocity measurements using Doppler ultrasound
US8597191B2 (en) Ultrasonic imaging apparatus and a method of generating ultrasonic images
US8523776B2 (en) Ultrasonic doppler imaging apparatus and method with blood velocity waveform processing
JP5642159B2 (en) Ultrasound blood flow Doppler sound with pitch shift
JP4722283B2 (en) Method and apparatus for motion visualization in ultrasonic flow imaging using continuous data acquisition
CN104739450B (en) For the volume quantitative of ultrasonic diagnostic imaging
CN105708494B (en) A kind of blood pressure measuring method based on ultrasound
JPS62502726A (en) Non-invasive blood flow measurement using cardiac cycle synchronization
KR20070046889A (en) Adjustable tracing of flow velocities in doppler velocity spectra
KR20130115822A (en) Method and apparatus of producing functional flow images using plain wave
Wells Ultrasonic colour flow imaging
US20140236008A1 (en) Ultrasound imaging equipment and method
US20090030319A1 (en) Doppler signal spectrum calculating method and apparatus
Poutanen et al. Normal mitral and aortic valve areas assessed by three-and two-dimensional echocardiography in 168 children and young adults
Yiu et al. High frame rate doppler ultrasound bandwidth imaging for flow instability mapping
Thorne et al. In vivo Doppler ultrasound quantification of turbulence intensity using a high-pass frequency filter method
US10945700B2 (en) Non-invasive estimation of intravascular pressure changes using vector velocity ultrasound (US)
Missaridis et al. The effect of hemodynamics, vessel wall compliance and hematocrit on ultrasonic Doppler power: an in vitro study
Wells Current Doppler technology and techniques
Xu Local measurement of the pulse wave velocity using Doppler ultrasound
Wan et al. In vivo hemodynamic evaluation based on transverse doppler measurements of blood velocities and vessel diameter
Thorne et al. In vitro Doppler ultrasound investigation of turbulence intensity in pulsatile flow with simulated cardiac variability
Herment et al. A new adaptive mean frequency estimator: application to constant variance color flow mapping

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20170713

Address after: 610041, No. 4, building 1, No. 1908, 1700, Tianfu Avenue, north section, Tianfu Road, Chengdu, Sichuan. 19

Applicant after: Chengdu Polytechnic Medical Technology Co Ltd

Address before: The middle high tech Zone Yizhou road in Chengdu city of Sichuan province 610041 722 No. 2 Building 1 unit 6 floor No. 612

Applicant before: CHENGDU XINSHENG TECHNOLOGY CO., LTD.

GR01 Patent grant
GR01 Patent grant