CN206745378U - A kind of Dopplcr ultrasound blood detecting system - Google Patents
A kind of Dopplcr ultrasound blood detecting system Download PDFInfo
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- CN206745378U CN206745378U CN201621341514.4U CN201621341514U CN206745378U CN 206745378 U CN206745378 U CN 206745378U CN 201621341514 U CN201621341514 U CN 201621341514U CN 206745378 U CN206745378 U CN 206745378U
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Abstract
The utility model discloses a kind of Dopplcr ultrasound blood detecting system, including wall filter 1, auto-correlation processing module 1, wall filter 2, auto-correlation processing module 2, percentage speed variation processing module, blood flow detection module, scan transformation processing module and display module.In the case that the utility model preliminary judgement is blood flow, need further finding speed rate of change Vel Chg, blood flow detection module finally determines it is blood flow or tissue by percentage speed variation Vel Chg, the error rate of blood flow detection can be substantially reduced, the blood flow detection sensitivity of ultrasonic device will not be reduced again.
Description
Technical field
The utility model is specifically related to a kind of Dopplcr ultrasound blood detecting system.
Background technology
The handling process of common colour doppler flow imaging is as shown in Figure 1.Ultrasonic blood after quadrature demodulation is obtained
After flow data, wall filter is sent to, with the energy of the tissue signal for low-speed motion of decaying.Wall filtering is carried out from phase after terminating
Pass is handled, and in the locus of each ultrasonic scan, average speed Vel and energy are estimated using the data after wall filtering
Pwr.After the two supersonic blood relevant parameters are obtained, respectively to these parameters carry out room and time on smoothing processing with
Noise is removed, is then fed into blood flow detection module using blood flow relevant parameter and B-mode image brightness Env to judge the position
It is tissue or blood flow.If the point value is then set to 0 by tissue, if blood flow is then set to Hemodynamic environment angle value.Then, to table
Show the black-and-white signal of tissue and represent that the colour signal of blood flow is scanned conversion process, both signals are converted into right angle sits
The signal of mark or polar coordinate system.Last display module shows the colour after conversion and black-and-white signal in a two field picture is overlapped
Show, if blood flow then shows colour signal according to VPV, if tissue then shows black and white letter according to B-mode brightness
Number.
In the handling process of CDFI, blood flow detection is a critically important module, its largely shadow
Blood flow sensitivity and the chromatic noise for ringing ultrasonic device are horizontal.In common detection, the related ginseng for the blood flow that we use
Number and B mode image brightness Env judge that current location is tissue or blood flow.The judgement of existing blood flow detection module
Logic is：
B-mode image brightness Env, which is more than, defines value, then the point is tissue, is otherwise blood flow；
Average speed Vel, which is less than, defines value, then the point is tissue, is otherwise blood flow；
Energy Pwr, which is less than, defines value, then the point is tissue, is otherwise blood flow；
If three above judged result is all blood flow, then the point is eventually determined as blood flow.
Such logical combination can distinguish tissue and blood flow in most cases, but work as and run into some special circumstances,
Then it is possible to detect mistake.
As shown in Fig. 2 left side is a kind of power spectrum chart of situation, the high part of energy is tissue, and low energy part is blood
Stream, if we set the wall filter that a normalization cut-off frequency is 0.2, then we can obtain an energy after auto-correlation
Amount is higher, the signal that normalization average speed is 0.4.If the B-mode brightness Env and energy Pwr of the opening position are full
If foot is judged as the condition of blood flow, and the threshold value of VPV is 0.25, then existing blood flow detection module can be natural
Current point is judged as blood flow.
But for the signal on the right side of Fig. 2, because the cut-off frequency of wall filter is 0.2, so some tissue
Signal arrives autocorrelative measure module by wall filter, and it is high so also to obtain an energy comparison, and normalization is average
Speed is 0.3 signal.Under the conditions of same detection threshold value, existing blood flow detection module still can be judged as the point
Blood flow, the but actually point is a tissue motion signal, existing blood flow detection module is caused to be made that one wrong is sentenced
It is disconnected.
Utility model content
A kind of the shortcomings that the purpose of this utility model is to overcome prior art, there is provided Dopplcr ultrasound blood detecting system
And its detection method, with solve it is foregoing in particular cases, existing blood flow detection module error sentences tissue motion signal
Break for blood flow the problem of.
To achieve the above object, technical solution adopted in the utility model is：
On the one hand, there is provided a kind of Dopplcr ultrasound blood detecting system, including
Wall filter 1, the tissue signal for low-speed motion in the supersonic blood data IQ_Data after the quadrature demodulation that decays
Energy；
Auto-correlation processing module 1, in the locus of each ultrasonic scan, the data after being handled using wall filter 1
To determine average speed Vel and energy Pwr；
Also include
Wall filter 2, its cut-off frequency is different from wall filter 1, for the supersonic blood data after the quadrature demodulation that decays
The energy of the tissue signal of low-speed motion in IQ_Data；
Auto-correlation processing module 2, average speed Vel2 is determined using the data after the processing of wall filter 2；
Percentage speed variation processing module：Using average speed Vel2 and average speed Vel, to determine different cut-off frequencies
Percentage speed variation Vel Chg after wall filter 1 and the processing of wall filter 2；
Blood flow detection module, using the average speed Vel and energy Pwr after smoothing processing, and B-mode image brightness
Env and percentage speed variation Vel Chg, to judge that the position is tissue or blood flow and determines Hemodynamic environment angle value Vel1, and export
Represent the black-and-white signal of tissue and represent the colour signal of blood flow.
Preferably, also include
Scan transformation processing module, to representing the black-and-white signal of tissue and representing that the colour signal of blood flow is scanned conversion
Both signals are converted to rectangular co-ordinate or the signal of polar coordinate system by processing.
Preferably, also include
Display module, the expression tissue and the signal overlap of blood flow that scan transformation processing module is exported are in a two field picture
Display.
Preferably, also include smoothing module 1, the average speed Vel and energy exported to auto-correlation processing module 1
Pwr carries out the smoothing processing on room and time, to remove noise therein；
Smoothing module 2, the average speed Vel2 that auto-correlation processing module 2 exports is carried out flat on room and time
It is sliding to handle to remove noise.
Preferably, the wall filter 1 and wall filter 2 are high-pass filter.
Preferably, the cut-off frequency of the wall filter 2 is more than wall filter 1.
On the other hand, there is provided a kind of detection method of Dopplcr ultrasound blood detecting system, comprise the following steps,
S1, preliminary judgement：
Pass through the tissue signal of low-speed motion in the supersonic blood data IQ_Data after the decay quadrature demodulation of wall filter 1
Energy；
By auto-correlation processing module 1 in the locus of each ultrasonic scan, the number after being handled using wall filter 1
According to determining average speed Vel and energy Pwr；
Blood flow detection module uses average speed Vel, the energy Pwr and B-mode image brightness Env after smoothing processing, comes
It is tissue or blood flow to judge the position, and its decision logic is as follows
B-mode image brightness Env, it is tissue more than value is defined, is blood flow less than value is defined；
Average speed Vel, it is tissue less than value is defined, is blood flow more than value is defined；
Energy Pwr, it is tissue less than value is defined, is blood flow more than value is defined；
All it is determined as tissue in B-mode brightness Env, average speed Vel and tri- numerical value of energy Pwr or judges inconsistent
When, the Hemodynamic environment angle value Vel1 of the position is set to 0, and export the black-and-white signal for representing tissue；
Also include
S2, percentage speed variation Vel Chg measure：
Average speed Vel, energy Pwr and B-mode image brightness Env after blood flow detection module uses smoothing processing is equal
When being determined as blood flow, percentage speed variation Vel Chg measure is carried out；
By the cut-off frequency wall filter 2 different from wall filter 1, the supersonic blood data after the quadrature demodulation that decays
The energy of the tissue signal of low-speed motion in IQ_Data；
Auto-correlation processing module 2 determines average speed Vel2 using the data after the processing of wall filter 2；
Percentage speed variation processing module uses average speed Vel and average speed Vel2, to determine the wall of different cut-off frequencies
Percentage speed variation Vel Chg after wave filter 1 and the processing of wall filter 2, its measure formula are
S3, it is final to judge：
Blood flow detection module finally judges it is tissue or blood flow using percentage speed variation Vel Chg, and determines Hemodynamic environment
Angle value Vel1, its decision logic is as follows,
Percentage speed variation Vel Chg, it is tissue more than value is defined, is blood flow less than value is defined；
When being determined as tissue, the Hemodynamic environment angle value Vel1 of the position is set to 0, and exports the black-and-white signal for representing tissue；
When being determined as blood flow, the average speed Vel that the Hemodynamic environment angle value Vel1 of the position is set to after smoothing processing, and export expression blood
The colour signal of stream.
Preferably, it is further comprising the steps of,
S4, the processing of blood flow signal scan transformation：Scan transformation processing module is to representing the black-and-white signal of tissue and representing blood
The colour signal of stream is scanned conversion process, and both signals are converted into rectangular co-ordinate or the signal of polar coordinate system.
Preferably, it is further comprising the steps of,
The synthesis of S5, blood flow and tissue signal is shown：The expression tissue that display module exports scan transformation processing module
Shown with the signal overlap of blood flow in a two field picture.
Preferably, in the step S1, space is carried out to average speed Vel and energy Pwr by smoothing module 1
With temporal smoothing processing, to remove noise therein；
In the step S2, the smooth place on room and time is carried out to average speed Vel2 by smoothing module 2
Manage to remove noise therein.
The beneficial effects of the utility model are：
1st, the utility model is determined as blood in B-mode image brightness Env, average speed Vel and tri- data of energy Pwr
In the case of stream, surveyed by wall filter 2, auto-correlation processing module 2, smoothing module 2 and percentage speed variation processing module
Determine percentage speed variation Vel Chg, blood flow detection module finally determines it is blood flow or tissue by percentage speed variation Vel Chg,
The error rate of blood flow detection can be substantially reduced, the blood flow detection sensitivity of ultrasonic device will not be reduced again.
2nd, smoothing module 1 of the present utility model carries out flat on room and time to average speed Vel and energy Pwr
Sliding processing, to remove noise therein, smoothing module 2 carries out the smoothing processing on room and time to average speed Vel2
, can further optimizing detection data to remove noise.
Brief description of the drawings
Fig. 1 is existing Dopplcr ultrasound blood detection method flow chart；
Fig. 2 is there is provided the ultrasonic power spectrogram after wave filter 1；
Fig. 3 is the theory diagram of Dopplcr ultrasound blood detecting system；
Fig. 4 is there is provided the ultrasonic power spectrogram after wave filter 2.
Embodiment
It is specific below in conjunction with the utility model to make the purpose of this utility model, technical scheme and advantage clearer
Technical solutions of the utility model are clearly and completely described for embodiment and corresponding accompanying drawing.
Embodiment 1
With reference to figure 3, the present embodiment provides a kind of Dopplcr ultrasound blood detecting system, including
Wall filter 1, the tissue signal for low-speed motion in the supersonic blood data IQ_Data after the quadrature demodulation that decays
Energy；
Auto-correlation processing module 1, in the locus of each ultrasonic scan, the data after being handled using wall filter 1
To determine average speed Vel and energy Pwr；
Also include
Wall filter 2, its cut-off frequency is different from wall filter 1, for the supersonic blood data after the quadrature demodulation that decays
The energy of the tissue signal of low-speed motion in IQ_Data；
Auto-correlation processing module 2, average speed Vel2 is determined using the data after the processing of wall filter 2；
Percentage speed variation processing module：Using average speed Vel2 and average speed Vel, to determine different cut-off frequencies
Percentage speed variation Vel Chg after wall filter 1 and the processing of wall filter 2；
Blood flow detection module, using the average speed Vel and energy Pwr after smoothing processing, and B-mode image brightness
Env and percentage speed variation Vel Chg, to judge that the position is tissue or blood flow and determines Hemodynamic environment angle value Vel1, and export
Represent the black-and-white signal of tissue and represent the colour signal of blood flow.
Also include
Scan transformation processing module, to representing the black-and-white signal of tissue and representing that the colour signal of blood flow is scanned conversion
Both signals are converted to rectangular co-ordinate or the signal of polar coordinate system by processing.
Also include
Display module, the expression tissue and the signal overlap of blood flow that scan transformation processing module is exported are in a two field picture
Display.
Also include smoothing module 1, the average speed Vel and energy Pwr exported to auto-correlation processing module 1 carries out empty
Between and temporal smoothing processing, to remove noise therein；
Smoothing module 2, the average speed Vel2 that auto-correlation processing module 2 exports is carried out flat on room and time
It is sliding to handle to remove noise.
The wall filter 1 and wall filter 2 are high-pass filter.
The cut-off frequency of the wall filter 2 is more than wall filter 1.
Embodiment 2
With reference to figure 3, the present embodiment provides a kind of detection method of Dopplcr ultrasound blood detecting system, including following step
Suddenly,
S1, preliminary judgement：
Pass through the tissue signal of low-speed motion in the supersonic blood data IQ_Data after the decay quadrature demodulation of wall filter 1
Energy；
By auto-correlation processing module 1 in the locus of each ultrasonic scan, the number after being handled using wall filter 1
According to determining average speed Vel and energy Pwr；
Blood flow detection module uses average speed Vel, the energy Pwr and B-mode image brightness Env after smoothing processing, comes
It is tissue or blood flow to judge the position, and its decision logic is as follows
B-mode image brightness Env, it is tissue more than value is defined, is blood flow less than value is defined；
Average speed Vel, it is tissue less than value is defined, is blood flow more than value is defined；
Energy Pwr, it is tissue less than value is defined, is blood flow more than value is defined；
When B-mode brightness Env, average speed Vel and tri- numerical value of energy Pwr are all determined as tissue or judge to differ
Cause, the Hemodynamic environment angle value Vel1 of the position is set to 0, and export the black-and-white signal for representing tissue；
Also include
S2, percentage speed variation Vel Chg measure：
Average speed Vel, energy Pwr and B-mode image brightness Env after blood flow detection module uses smoothing processing is equal
When being determined as blood flow, percentage speed variation Vel Chg measure is carried out；
By the cut-off frequency wall filter 2 different from wall filter 1, the supersonic blood data after the quadrature demodulation that decays
The energy of the tissue signal of low-speed motion in IQ_Data；
Auto-correlation processing module 2 determines average speed Vel2 using the data after the processing of wall filter 2；
Percentage speed variation processing module uses average speed Vel and average speed Vel2, to determine the wall of different cut-off frequencies
Percentage speed variation Vel Chg after wave filter 1 and the processing of wall filter 2, its measure formula are
S3, it is final to judge：
Blood flow detection module finally judges it is tissue or blood flow using percentage speed variation Vel Chg, and determines Hemodynamic environment
Angle value Vel1, its decision logic is as follows,
Percentage speed variation Vel Chg, it is tissue more than value is defined, is blood flow less than value is defined；
When being determined as tissue, the Hemodynamic environment angle value Vel1 of the position is set to 0, and exports the black-and-white signal for representing tissue；
When being determined as blood flow, the average speed Vel that the Hemodynamic environment angle value Vel1 of the position is set to after smoothing processing, and export expression blood
The colour signal of stream.
It is further comprising the steps of,
S4, the processing of blood flow signal scan transformation：Scan transformation processing module is to representing the black-and-white signal of tissue and representing blood
The colour signal of stream is scanned conversion process, and both signals are converted into rectangular co-ordinate or the signal of polar coordinate system.
It is further comprising the steps of,
The synthesis of S5, blood flow and tissue signal is shown：The expression tissue that display module exports scan transformation processing module
Shown with the signal overlap of blood flow in a two field picture.
In the step S1, average speed Vel and energy Pwr is carried out on room and time by smoothing module 1
Smoothing processing, to remove noise therein；
In the step S2, the smooth place on room and time is carried out to average speed Vel2 by smoothing module 2
Manage to remove noise therein.
To the explanation of Examples 1 and 2：
If as shown in figure 4, there are two groups of ultrasonic Doppler data with Fig. 2 equal-wattages spectrum, by normalizing cutoff frequency
Rate is 0.4 wall filter 2.So the average speed of left-side signal is 0.5；And right side because filtering be over after be all noise,
So energy can be than relatively low, but average speed Vel more a height of 0.65.If using conventional blood flow detection module to it is this this two
Kind of situation is judged, if the left side energy Pwr value that defines is set rationally, can correctly be adjudicated as blood flow, and right side because
It is very low for energy, so also can correctly be judged as tissue.But if simply setting the wall filter 2 of higher cutoff frequency merely,
Most blood flow energy can be attenuated to (shown on the left of Fig. 4), this can cause the blood flow sensitivity of ultrasonic device substantially to subtract
It is low.
The cartographic represenation of area energy of the closed area of swash and transverse axis.
For the signal in left side, the filtered percentage speed variation Vel Chg of wall filter 2 of different cut-off frequencies are：
0.5-0.4/0.4=25%
For right-side signal, the filtered percentage speed variation Vel Chg of wall filter 2 of different cut-off frequencies are：
0.65-0.3/0.3=116.7%
It is obvious that the percentage speed variation Vel Chg of the signal on right side are much larger than left-side signal.In specific implementation, for speed
Degree rate of change Vel Chg this parameter setting one defines value, such as 50%.For being detected using conventional blood flow detection method
For the signal of blood flow, its percentage speed variation Vel Chg are calculated, can and then be compared with 50% this value of defining, if greater than threshold value,
Then judgement is tissue, if less than threshold value, is then still adjudicated as blood flow.
Therefore, system that employs this new parameter of percentage speed variation Vel Chg, the accuracy of detection can both be increased,
The blood flow detection sensitivity of ultrasonic device will not be reduced again.
Above-mentioned embodiment is used for illustrating the utility model, rather than the utility model is limited, in this reality
With any modifications and changes in new spirit and scope of the claims, made to the utility model, this is both fallen within
The protection domain of utility model.
Claims (6)
1. a kind of Dopplcr ultrasound blood detecting system, including
Wall filter 1, the energy for the tissue signal of low-speed motion in the supersonic blood data IQ_Data after the quadrature demodulation that decays
Amount；
Auto-correlation processing module 1, in the locus of each ultrasonic scan, surveyed using the data after the processing of wall filter 1
Determine average speed Vel and energy Pwr；
Characterized in that, also include
Wall filter 2, its cut-off frequency is different from wall filter 1, for the supersonic blood data IQ_ after the quadrature demodulation that decays
The energy of the tissue signal of low-speed motion in Data；
Auto-correlation processing module 2, average speed Vel2 is determined using the data after the processing of wall filter 2；
Percentage speed variation processing module：Using average speed Vel2 and average speed Vel, to determine the filter of the wall of different cut-off frequencies
Percentage speed variation Vel Chg after ripple device 1 and the processing of wall filter 2；
Blood flow detection module, using the average speed Vel and energy Pwr after smoothing processing, and B-mode image brightness Env and
Percentage speed variation Vel Chg, to judge that the position is tissue or blood flow and determines Hemodynamic environment angle value Vel1, and export expression group
The black-and-white signal and the colour signal of expression blood flow knitted.
2. Dopplcr ultrasound blood detecting system according to claim 1, it is characterised in that also include
Scan transformation processing module, to representing the black-and-white signal of tissue and representing that the colour signal of blood flow is scanned at conversion
Both signals are converted to rectangular co-ordinate or the signal of polar coordinate system by reason.
3. Dopplcr ultrasound blood detecting system according to claim 1, it is characterised in that also include
Display module, the signal overlap for representing tissue and blood flow that scan transformation processing module is exported show in a two field picture
Show.
4. Dopplcr ultrasound blood detecting system according to claim 1, it is characterised in that also including smoothing module
1, the average speed Vel and energy Pwr that are exported to auto-correlation processing module 1 carry out the smoothing processing on room and time, to go
Except noise therein；
Smoothing module 2, the smooth place on room and time is carried out to the average speed Vel2 that auto-correlation processing module 2 exports
Manage to remove noise.
5. Dopplcr ultrasound blood detecting system according to claim 1, it is characterised in that the wall filter 1 and wall
Wave filter 2 is high-pass filter.
6. Dopplcr ultrasound blood detecting system according to claim 1 or 5, it is characterised in that the wall filter 2
Cut-off frequency is more than wall filter 1.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107233109A (en) * | 2016-12-08 | 2017-10-10 | 成都优途科技有限公司 | A kind of Dopplcr ultrasound blood detecting system and its detection method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107233109A (en) * | 2016-12-08 | 2017-10-10 | 成都优途科技有限公司 | A kind of Dopplcr ultrasound blood detecting system and its detection method |
| CN107233109B (en) * | 2016-12-08 | 2023-08-08 | 成都优途科技有限公司 | Doppler ultrasonic blood flow detection system and detection method thereof |
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