CN105640592A - Correlation calculation method of colorful blood flow frame - Google Patents

Correlation calculation method of colorful blood flow frame Download PDF

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CN105640592A
CN105640592A CN201610159815.3A CN201610159815A CN105640592A CN 105640592 A CN105640592 A CN 105640592A CN 201610159815 A CN201610159815 A CN 201610159815A CN 105640592 A CN105640592 A CN 105640592A
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frame
energy
threshold
blood flow
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CN105640592B (en
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孙瑞超
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Shenzhen Anasonic Bio-Medical Technology Co Ltd
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    • 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
    • A61B8/488Diagnostic techniques involving Doppler signals
    • 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

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Abstract

The invention relates to a correlation calculation method of a colorful blood flow frame. The correlation calculation method comprises the following steps: calculating a frame correlation coefficient Coef, reading an energy/amplitude/velocity threshold value defined by a system and an attenuation correlation coefficient decaycoef and enabling the energy threshold value to be used for overall control and judgment; judging whether current point blood flow energy reaches the energy threshold value 1 or not; if the current point blood flow energy does not reach the energy threshold value 1, directly using previous frame results for current point output; otherwise, entering the processing step of judging a blood flow velocity direction by using the energy threshold value 2; judging whether a current frame position and a previous identical position are in the same direction or not through front and rear frame point multiplication; if the current frame position and the previous same position are in the same direction, same-direction processing; otherwise, reverse-direction processing. According to the relevant calculation method provided by the invention, not only can a corresponding frame correlation effect be realized, but also the data chaos caused in the processing process can not be caused; different correlation modes can be selected, so that the best diagnostic value is realized; through selecting identical-direction processing modes listed in the correlation calculation method, clinically-required effects can be furthest optimized.

Description

A kind of colorful bloodstream frame Related Computational Methods
Technical field
The invention belongs to ultrasonic imaging technique field, be specifically related to a kind of colorful bloodstream frame Related Computational Methods.
Background technology
Color flow angiography technology is applied in compuscan, is the kinestate and the parameter that utilize Doppler effect to measure blood flow or tissue in diagnosis object, including the direction of motion of blood flow, speed and energy. During clinical diagnosis, generally indicate with redness and represent rightabout towards the blood flow of probe orientation motion with blueness.
When conventional two-dimensional imaging, it is all without symbol luminance signal due to signal, is correlated with by the data of frame before and after using, use the display that simple first order IIR filtering device just can realize diagnostic signal to strengthen, and filtration fraction noise, strengthen the diagnosis confidence of doctor.
This method is used widely in ultrasonic two dimension, respond well. But in colorful blood, forward and reverse owing to existing, this method is just inapplicable. When blood flow occurs reverse, the characteristic of IIR makes directly to comprehend according to original way place to make blood flow disorder.
A kind of simple solution is only to process time in the same direction, but is so equivalent to restart IIR, it is contemplated that iir filter stable state requires time for, and this will make frame correlation filter be chronically at labile state.
US Patent No. P2008/0298651A1, it is provided that the way of a kind of reverse process, by blood flow reverse time process so that IIR is not adversely affected by blood flow, be always maintained at good state; Although a kind of reverse process way that USP2008/0298651A1 provides seems and solves inverse problem, filtering characteristic is enable to be suitable for when reverse, but it has actually simply processed the first frame after reversely, and during the second frame, its reverse process very easily produces bigger confusion.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, a kind of frame correlation technique based on clinical practice specificity analysis is provided, both can realize corresponding frame relevant effect, and be unlikely to again processing procedure and cause the confusion of data, this invention address that the technical scheme that its technical problem adopts was:
A kind of colorful bloodstream frame Related Computational Methods, comprises the following steps:
Step s1: obtain previous frame data and these frame data;
Step s2: obtain current system frame per second;
Step s3: calculate frame correlation coefficient Coef according to current frame rate and frame correlation coefficient gear,
C o e f = e - 1 / ( F R * t p )
Wherein FR is current frame rate, tpIt it is the control coefrficient selected according to the relevant gear of present frame;
Step s4: read in energy/amplitude/threshold speed and the decay correlation coefficient decaycoef of system definition, wherein energy threshold has two: energy threshold 1, controls for entirety, namely whether does frame relevant treatment, and energy threshold 2, judgement during for velocity reversal processes;
Step s5: judge whether current some blood flow energy reaches energy threshold 1, if currently some blood flow energy is not up to energy threshold 1, then the output of this point directly uses previous frame result; Otherwise enter into use energy threshold 2 to carry out the judgment processing steps in blood flow rate direction;
Step s6: be multiplied whether in the same direction to judge present frame position and previous frame same position by front and back frame point, if in the same direction, then arrives and processes in the same direction; Otherwise arrive reverse process.
The further technical scheme of the present invention also includes:
In step s6, described processing procedure in the same direction is: first select diagnostic mode, the associative mode that this diagnostic mode is corresponding is obtained from Parameter File, if associative mode is 1, then press Velout=Velcur*coef+Velpre* (1-coef) to process, wherein coef is the result of calculation in step s3, and Velcur is present frame input velocity amplitude, and Velpre is the output of previous frame frame correlated results; If associative mode is 0, then the results contrast after present speed being multiplied with attenuation quotient with previous frame relevant speed result, and one that exports that wherein absolute value is bigger.
Described inverse process is: judge three groups of threshold values, it is energy threshold 2 respectively, amplitude threshold and speed absolute value threshold value, three groups all reach to set threshold value, directly export result, otherwise export attenuation results and the Velpre*Decaycoef of the frame correlated results of previous frame.
Described inverse process is: can only judge whether energy threshold 2, amplitude threshold or any one in speed absolute value threshold value reach to set threshold values, it is also possible to increase echo absolute amplitude etc. itself it is judged that project.
After the output of described result, a road is used for showing, a road preserves for subsequent treatment.
In step s1, described data include speed data and energy datum.
In step s4, described energy threshold can adopt the compound mode of echo absolute amplitude, variance and energy to replace.
Compared with prior art, the Advantageous Effects of the present invention is: 1, the present invention both can realize corresponding frame relevant effect, is unlikely to again processing procedure and causes the confusion of data; 2, will according to applications of ultrasound time pattern distinguish, the different piece slow with velocity variations as fast in velocity variations, it is possible to select different associative modes, thus realizing best diagnostic value; 3, the tupe in the same direction listed by the present invention selects, it is possible to farthest optimizing clinic needs effect, it is possible to adaptively selected, it is also possible to built-in switch selects, rather than front and back are relevant simply.
Accompanying drawing explanation
Fig. 1 is the frame relevant treatment flow chart of the present invention;
Fig. 2 is the structured flowchart of general ultrasonic system;
Fig. 3 is the frame relevant effect figure of the present invention one specific embodiment.
Detailed description of the invention
Below in conjunction with accompanying drawing, further describe the specific embodiment of the present invention.
Refer to Fig. 2, a kind of colorful bloodstream frame Related Computational Methods, comprise the following steps:
Step s1: obtain previous frame data and these frame data;
Step s2: obtain current system frame per second;
Step s3: calculate frame correlation coefficient Coef according to current frame rate and frame correlation coefficient gear,
C o e f = e - 1 / ( F R * t p )
Wherein FR is current frame rate, tpIt it is the control coefrficient selected according to the relevant gear of present frame;
Step s4: read in energy/amplitude/threshold speed and the decay correlation coefficient decaycoef of system definition, wherein energy threshold has two: energy threshold 1, controls for entirety, namely whether does frame relevant treatment, and energy threshold 2, judgement during for velocity reversal processes;
Step s5: judge whether current some blood flow energy reaches energy threshold 1, if currently some blood flow energy is not up to energy threshold 1, then the output of this point directly uses previous frame result; Otherwise enter into use energy threshold 2 to carry out the judgment processing steps in blood flow rate direction;
Step s6: be multiplied whether in the same direction to judge present frame position and previous frame same position by front and back frame point, if in the same direction, then arrives and processes in the same direction; Otherwise arrive reverse process.
In the present invention, in step s1, data include speed data and energy datum; After calculating frame correlation coefficient Coef, first determining whether whether blood flow energy reaches the threshold value set, if reached, then carrying out below step, otherwise directly exporting previous frame end value, this is in order to avoid point of instability occurs.
Differentiation to blood flow rate: if present frame position has been compared reversely with previous frame same position, then by following reverse process, otherwise press forward and process.
As preferably, in the present invention, during reverse process, we represent current energy value with POWcur, represent energy settings threshold values with POWth; MAGcur represents current amplitude value, and MAGth represents amplitude threshold values; | Vel | represents present speed absolute value, and Velth represents speed threshold, if energy, speed, amplitude are all higher than setting threshold value, directly use the new result output of present frame, i.e. Velout=Velcur, this situation is it is thought that real reversely blood flow signal, it should retain. If any of does not reach, then think that this place's signal of present frame is unreliable, use the pad value output of previous frame result, now Velout=Velpre*decaycoef, here decaycoef is the decay correlation coefficient of system definition in step s4, and Velpre is previous frame result, after the output of Velout result, one tunnel is used for showing, a road preserves for subsequent treatment; Reverse process can also only judge whether energy threshold 2, amplitude threshold or any one in speed absolute value threshold value reach to set threshold values, it is also possible to increase echo absolute amplitude etc. itself it is judged that project.
If front and back two frame is herein in the same direction, then to select according to pattern. If evanescent mode, this situation to judge the absolute value of currency and the pad value order of magnitude of previous frame, select wherein bigger output, we represent the absolute value of currency with Abs (Vel), the absolute value of previous frame is represented with abs (Velpre), so the pad value absolute value of previous frame is abs (Velpre) * decaycoef, if Abs (Vel) > abs (Velpre) * decaycoef, then Velout=Velcur; Otherwise Velout=Velpre*decaycoef. This is to keep speed maximum, makes maximum can produce sunset glow effect simultaneously, makes clinical diagnosis more favourable. If another associative mode is then regardless of front and back size, the fixing Velout=Velcur*coef+Velpre* of use (1-coef) processes.
In the present invention, carry out global threshold switch process to frame is relevant, so can limit the impact that blood flow is shown by random noise. Outside except with energy threshold, it is also possible to use the compound mode of echo absolute amplitude, variance and energy.
Different checking modes are used different frame relevant way, so for frame per second fast many in the same direction time can select in the same direction time simple IIR filter direction [Velout=Velcur*coef+Velpre* (1-coef)], for time velocity attitude change is very fast or frame per second is relatively low, consider the initialization time impact of IIR, value decay and the output of currency higher value before using, bigger speed blood flow so can be made to retain more for a long time, more meet the characteristic of clinical practice. Wherein relevant to checking mode, it is possible to initially to be reserved in advance by system, it is also possible to certain condition such as frame per second and velocity reversal's rate of change, Dynamic Execution are set.
In the present invention processing procedure for reverse blood flow, according to the pad value that threshold value interpretation decision use currency or previous frame are relative, judge process can be energy threshold 2, three combinations of amplitude threshold or speed absolute value, can also be any one therein, it is also possible to increase echo absolute amplitude etc. itself it is judged that project. Owing to there being a zero passage process time reverse, therefore absolute value compares and can not use.
The present invention, when processing reverse, assumes to process by aliasing. And the many times blood flow of the fact positive and negative be very normal thing, aliasing is a few cases that scale [velocity scale] is not enough. All situations is comprehended the possibility bringing signal disorderly by aliasing place. And adopt reverse threshold value interpretation processing procedure, then can retain the true blood flow form of clinical needs better.
Tupe in the same direction listed by the present invention selects, it is possible to farthest optimizing clinic needs effect, it is possible to adaptively selected, it is also possible to built-in switch selects, rather than front and back are relevant simply.
Refer to the block diagram that Fig. 1, Fig. 1 are general ultrasonic system, the pattern that system control module selects according to user, launched the transmitted waveform of characteristic frequency, voltage by radiating circuit, carry out incentive probe. For B imaging pattern, it is generally selected broadband emission, i.e. the less transmitting cycle, so corresponding to higher voltage; For C and blood flow imaging pattern, then selecting narrower transmitted bandwidth or more transmitting cycle, in this case do not exceed standard in order to ensure acoustical power, usual voltage is then relatively low. Probe is generally made up of PZT [piezoelectric, piezoelectric ceramics], the needs according to clinical practice, differentiation is had from frequency and shape, generally penetrating and require high use low-frequency probe, resolution requirement is high and to look for second solution to penetrating, then can use high frequency probe; If abdominal applications, it is contemplated that the structure of human abdomen, generally can use convex battle array; Linear array is generally used for superficial tissue. But no matter the probe of which kind of frequency or shape, is all that the transmitted waveform of corresponding frequencies is converted to ultrasound wave, ultrasound wave is propagate in diagnosis object tissue, produces echo, and echo is converted to the signal of telecommunication again through probe. This signal of telecommunication is through receiving circuit with high_voltage isolation, and so bigger transmitting signal can be cut, and simply retains faint reception signal. Echo-signal through human body is mv level, and emitting voltage is usually 10v rank, therefore reception circuit is had higher requirement. Additionally due at present probe is all array is probe, this signal demand meant that between different path synchronizes and strengthens, this process and Beam synthesis, and he both can improve the SNR[signal to noise ratio of echo], it is also possible to realize focusing and Receiving apodization.Above links, including link below, is all carry out under the synchronization that system controls.
The output of Beam synthesis, be generally termed RF [radiofrequency signal], this is because the signal after this is useful signal in sample frequency modulated, after detection and post processing, it is possible to show on demand. The main process of signal processing is exactly detection, it is common that uses quadrature demodulation to add low pass and realizes; C signal is processed, signal after detection also needs to carry out auto-correlation computation, auto-correlation computation result is NDR, these three is intermediate variable, after certain conversion, it is possible to obtain the VTP [velocity of blood flow signal, tolerance, Power], namely V therein is that the blood flow rate that we mention shows, it is directive; P is the mode without symbolic formulation of speed, is substantially also rate signal.
It is relevant, smooth etc. that B post processing includes logarithmic compression, dynamic range transform, gain control, frame.
C post processing includes gain process, space smoothing, relevant, the priority control of frame etc., and the inventive method is mainly used in the frame relevant portion of C post processing. Gain process mainly shows the abundant program of blood flow, usually requires that and the blood flow overwhelming majority can be closed display when gain is minimum, and can show all blood flow signals time maximum largely, including noise. Space smoothing mainly filters indivedual abnormity point and part edge discontinuous problem. Priority control is mainly by the B result of the velocity magnitude of blood flow, variance, energy and correspondence, and selectivity shows or do not show blood flow, so that blood flow display result the most favorably has clinical diagnosis.
Referring to Fig. 3, Fig. 3 and describe a kind of frame relevant effect, in figure, solid line is importation, owing to introducing an inverse noise, when this inverse noise is unsatisfactory for interpretation threshold value, we just can be removed this abnormity point by foregoing invention, and result is display dotted portion above just.
These are only presently preferred embodiments of the present invention, not in order to limit the present invention, protection scope of the present invention is as the criterion with claims, and other its structures all and principle and the present invention are same or like, should be included within protection scope of the present invention.

Claims (7)

1. a colorful bloodstream frame Related Computational Methods, it is characterised in that comprise the following steps:
Step s1: obtain previous frame data and these frame data;
Step s2: obtain current system frame per second;
Step s3: calculate frame correlation coefficient Coef according to current frame rate and frame correlation coefficient gear,
C o e f = e - 1 / ( F R * t p )
Wherein FR is current frame rate, tpIt it is the control coefrficient selected according to the relevant gear of present frame;
Step s4: read in energy/amplitude/threshold speed and the decay correlation coefficient decaycoef of system definition, wherein energy threshold has two: energy threshold 1, controls for entirety, namely whether does frame relevant treatment, and energy threshold 2, judgement during for velocity reversal processes;
Step s5: judge whether current some blood flow energy reaches energy threshold 1, if currently some blood flow energy is not up to energy threshold 1, then the output of this point directly uses previous frame result; Otherwise enter into use energy threshold 2 to carry out the judgment processing steps in blood flow rate direction;
Step s6: be multiplied whether in the same direction to judge present frame position and previous frame same position by front and back frame point, if in the same direction, then arrives and processes in the same direction; Otherwise arrive reverse process.
2. a kind of colorful bloodstream frame Related Computational Methods according to claim 1, it is characterized in that, in step s6, described processing procedure in the same direction is: first select diagnostic mode, the associative mode that this diagnostic mode is corresponding is obtained from Parameter File, if associative mode is 1, then press Velout=Velcur*coef+Velpre* (1-coef) to process, wherein coef is the result of calculation in step s3, Velcur is present frame input velocity amplitude, and Velpre is the output of previous frame frame correlated results;If associative mode is 0, then the results contrast after present speed being multiplied with attenuation quotient with previous frame relevant speed result, and one that exports that wherein absolute value is bigger.
3. a kind of colorful bloodstream frame Related Computational Methods according to claim 1, it is characterized in that, described inverse process is: judge three groups of threshold values, it is energy threshold 2 respectively, amplitude threshold and speed absolute value threshold value, three groups all reach to set threshold values, directly export result, otherwise export attenuation results and the Velpre*Decaycoef of the frame correlated results of previous frame.
4. a kind of colorful bloodstream frame Related Computational Methods according to claim 3, it is characterized in that, described inverse process is: only can judge energy threshold 2, whether any one in amplitude threshold or speed absolute value threshold value reaches to set threshold values, it is also possible to increase echo absolute amplitude etc. itself it is judged that project.
5. a kind of colorful bloodstream frame Related Computational Methods according to claim 3, it is characterised in that after the output of described result, a road is used for showing, a road preserves for subsequent treatment.
6. a kind of colorful bloodstream frame Related Computational Methods according to claim 1, it is characterised in that in step s1, described data include speed data and energy datum.
7. a kind of colorful bloodstream frame Related Computational Methods according to claim 1, it is characterised in that in step s4, described energy threshold can adopt the compound mode of echo absolute amplitude, variance and energy to replace.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109363722A (en) * 2018-11-29 2019-02-22 武汉中旗生物医疗电子有限公司 The suppressing method and equipment of correction of motion artefacts in color flow angiography

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1939223A (en) * 2005-09-29 2007-04-04 深圳迈瑞生物医疗电子股份有限公司 Method for eliminating speed abnormal point in color blood-stream image
US20080298651A1 (en) * 2007-06-01 2008-12-04 Shenzhen Mindray Bio-Medical Electronics Co., Ltd. Method and device for color blood flow frame averaging
CN101416885A (en) * 2007-10-22 2009-04-29 深圳迈瑞生物医疗电子股份有限公司 Frame equilibration circuit for ultrasonic imaging system
CN102113900A (en) * 2010-01-05 2011-07-06 深圳迈瑞生物医疗电子股份有限公司 Relevant method and device for color blood flow dynamic frame
US20110301470A1 (en) * 2010-06-04 2011-12-08 Takeshi Sato Ultrasonic diagnostic apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1939223A (en) * 2005-09-29 2007-04-04 深圳迈瑞生物医疗电子股份有限公司 Method for eliminating speed abnormal point in color blood-stream image
US20080298651A1 (en) * 2007-06-01 2008-12-04 Shenzhen Mindray Bio-Medical Electronics Co., Ltd. Method and device for color blood flow frame averaging
CN101416885A (en) * 2007-10-22 2009-04-29 深圳迈瑞生物医疗电子股份有限公司 Frame equilibration circuit for ultrasonic imaging system
CN102113900A (en) * 2010-01-05 2011-07-06 深圳迈瑞生物医疗电子股份有限公司 Relevant method and device for color blood flow dynamic frame
US20110301470A1 (en) * 2010-06-04 2011-12-08 Takeshi Sato Ultrasonic diagnostic apparatus

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109363722A (en) * 2018-11-29 2019-02-22 武汉中旗生物医疗电子有限公司 The suppressing method and equipment of correction of motion artefacts in color flow angiography
CN109363722B (en) * 2018-11-29 2021-08-06 武汉中旗生物医疗电子有限公司 Method and device for suppressing motion artifact in color flow imaging

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