CN107898476A - A kind of method and apparatus that low velocity flow Doppler signal is detected by wall filter - Google Patents
A kind of method and apparatus that low velocity flow Doppler signal is detected by wall filter Download PDFInfo
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- CN107898476A CN107898476A CN201711206855.XA CN201711206855A CN107898476A CN 107898476 A CN107898476 A CN 107898476A CN 201711206855 A CN201711206855 A CN 201711206855A CN 107898476 A CN107898476 A CN 107898476A
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- A61B8/06—Measuring blood flow
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- A—HUMAN NECESSITIES
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- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/5207—Devices 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
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Abstract
The invention discloses a kind of method and apparatus that low velocity flow Doppler signal is detected by wall filter, which includes two wall filters, two auto-correlation processing modules, two blood flow detection modules, a low velocity flow detection module and scan conversion module.The filtering series that two wall filters use is different, and detection signal of two wall filters to doppler ultrasound equipment carries out wall filtering.Methods and apparatus of the present invention can automatically adjust wall filter series according to newly-increased effective blood flow point ratio, improve to low velocity flow, such as the accuracy of venous blood flow detection, it is especially significant when shortage for doppler ultrasound device operator experience, operator can be helped to obtain accurate blood-stream image and effectively avoid mistaken diagnosis.
Description
Technical field
It is more particularly to a kind of that low velocity flow Doppler is detected by wall filter the present invention relates to ultrasonic medical detection field
The method and apparatus of signal.
Background technology
Ultrasonic examination is one of most common method during medical imaging checks, it is convenient that it has, and noninvasive, high performance-price ratio etc. is excellent
Point, is all relied on for counsel by clinician all the time.And the maturation of blood flow detection technology is carried out using doppler principle, then further
Improve the scope of application and importance of Ultrasonic Diagnosis.Color Doppler ultrasound is usually to carry out Doppler's letter with autocorrelation technique
Number processing, the blood flow signal of acquisition is superimposed on 2d in real time after coloud coding, that is, forms color Doppler and surpasses
Sound blood-stream image.Therefore it had not only had the advantages that two-dimensional ultrasound structural images, but also provided the abundant letter of haemodynamics at the same time
Breath, so receiving extensive attention in medical clinic applications and welcoming.
Colour doppler flow imaging is to utilize human bloodstream in doppler principle sense colors sampling frame, and calculates it
Size and Orientation, be then superimposed together with black white image it is scan converted after export blood-stream image on the display screen.First will
Supersonic blood data (IQ_Data) are formed after echo-signal quadrature demodulation, B-mode processing module is then respectively fed to and obtained
Gray level image and feeding C mode processing module obtain coloured image.In C mode module, signal is first fed into wall filter
To filter non-blood flow signal.Received signal of popping one's head in during ultrasonic examination by Doppler's method is also contaminated with blood in addition to from red blood cell
The characteristics of reflectivity Doppler signal that tube wall and surrounding tissue movement produce, this signal is that frequency is low but echo intensity compares blood
It is big to flow signal, blood flow detection can be interfered.The effect of wall filter is exactly that these reflectivity Doppler signals are filtered, only
Make echo intensity low but blood flow signal entering signal processor that frequency is high.The degree being filtered across by signal, instrument are equipped with difference
The filtering of series.The big filtering of series can also also filter out low velocity blood flow in addition to filtering out non-blood flow signal.Selection filter
Ripple depending on check object, should only detect the big blood vessel of the such high flow rate of abdominal aorta in belly field, filter general adjust
Section is on series less than normal, particularly when detecting venous blood flow.Filtering series is smaller, and low velocity flow shows more abundant.Wall is filtered
After ripple, auto-correlation processing will be carried out.Auto-correlation processing is in the locus of each ultrasonic scan, after wall filtering
Data estimate mean blood flow velocity (v) and blood flow energy (P).Obtaining the two crucial supersonic blood relevant parameters
Afterwards, data can be sent into blood flow detection module, which can come area using the envelope data of blood flow relevant parameter and B-mode image
It is blood flow or tissue to divide the position.The control information that the black white image of B-mode provides is brightness (E).Which the module will determine
A little points are blood flow points, which point is interlacing point or vascular wall.Conversion can be scanned again by finishing the speed signal of blood flow detection
Processing, the signal that the supersonic blood signal of rectangular coordinate system is converted to polar coordinate system are used to show.Last display module will
Colored and black-and-white signal is shown in a two field picture is overlapped, if blood flow then shows colour signal according to blood flow velocity, such as
Fruit is that tissue then shows black-and-white signal according to B-mode brightness.So as to draw final color ultrasound two dimensional image.
Existing ultrasonic device majority is not intelligent, and it is normal that the default parameters that producer sets in advance is only suitable for part
In the case of use, still need our adjustment parameters to remove to obtain more preferably coloured image and spectrum morphology when a lot of, avoid joining
Number set it is improper caused by illusion and cause mistaken diagnosis, if operator lacks experience, the situation of this image inaccuracy is to hold very much
It is incident.Among whole C mode data processing step, wall filter is the first step, and a very crucial step, wall filter
The adjusting of wave scale number and operator's experience are closely bound up.If what we measured is the blood flow of low speed, such as venous blood flow, that is just
Relatively low wall filtering series should be set, avoiding blood flow signal from being filtered causes loss of learning, so that the diagnosis of mistake is caused, than
If mistaken diagnosis is thrombus.
Now with the popularization of portable medical device, many basic unit clinics or first aid occasion are also all using Doppler
Ultrasonic device, so many times user is no longer veteran Ultrasonography doctor, but common medical personnel is very
To non-medical staff.Lack in view of their experiences, it is not accurate enough to be likely to result in result when Ultrasonic Diagnosis, so,
If ultrasonic device can possess automatic adjustment wall filter and improve the function of the accuracy in detection for low velocity flow, will have
There is great clinical meaning.
The content of the invention
In order to solve the above technical problems, low velocity flow Doppler signal is detected by wall filter the present invention provides one kind
Method and apparatus, can be solved according to view data come adjust automatically wall filter, so as to improve the detection for low velocity flow
The problem of blood flow information missing or tissue signal are mistaken as blood flow during current low velocity flow of having determined detects.
To reach above-mentioned purpose, technical scheme is as follows：It is a kind of how general by wall filter detection low velocity flow
Strangling the device of signal includes two wall filters, two auto-correlation processing modules, two blood flow detection modules, a low velocity flow
Detection module and scan conversion module；The filtering series that two wall filters use is different, and two wall filters are to how general
The detection signal for strangling ultrasonic device carries out wall filtering；Described in each wall filter and an auto-correlation processing module and one
Blood flow detection module is connected into horizontal electrical signal successively；Examined with the blood flow being connected using the wall filter of high filtering series
Module is surveyed to be connected with the scan conversion module；The blood flow detection being connected with using the wall filter of low filtering series
Module is connected with the low velocity flow detection module；The low velocity flow detection module is connected with the scan conversion module；Two
The blood flow detection module is connected with each other.
As a kind of preferred solution of above device, display module is further included；The display module and the scan transformation
Module connects, and is come out for the information after scan conversion module processing by image display.
A kind of method that low velocity flow Doppler signal is detected by wall filter, using logical described in claim 1 or 2
The device of wall filter detection low velocity flow Doppler signal is crossed, is comprised the following steps：
Step 1, by a wall filter, according to the difference of measurement target, the initial level of the wall filter is set
Number, the detection signal to doppler ultrasound equipment carry out wall filtering；To the signal after wall filter through an auto-correlation processing
Speed and power information are obtained after resume module and by the monochrome information E of a blood flow detection module combination B ultrasound, which is determined
A little points are blood flow points, and related blood stream information is passed to another blood flow detection module；
Step 2, the filtering series of a smaller is set by another wall filter, carries out wall filtering, the signal after wall filtering
Another auto-correlation processing module will be passed to together with the signal before wall filtering, obtain speed and power information and wall
The energy ratio of signal after filtering and before；Another blood flow detection module is passed information to again, with reference to the monochrome information of B ultrasound
E, it is blood flow point to determine which point；
Step 3, the blood flow point that the blood flow point and step 2 step 1 provided provides is compared, what is increased newly in step 2
Blood flow point set is picked out, and passes to low velocity flow detection module in the lump together with other information；Through low velocity flow detection module
After investigation, newly-increased effective blood flow point is investigated out.
As a kind of preferred solution of the above method, step 4 is further included, the newly-increased effectively blood flow point of step 3 and step 1
The blood flow point quantity of High frequency filter is contrasted, and determines a need for degrading to wall filter；Newly-increased effective blood of step 3
The ratio C that the blood flow point quantity of the High frequency filter of flow point and step 1 is divided by is less than certain threshold value C0, that is, think to have reached to change
The kind effect adjusted, without continuing to adjust wall filtering series；It need to only merge with the information of the blood flow detection module of step 1 and be turned
Change display；If C still exceedes threshold value C0, then assert that wall filter series is low not enough, it is necessary to continue to reduce；By
Obtained blood flow information preserves, and then the series of wall filter in step 1 is updated to the level of wall filter in step 2
Number, is changed to a lower series, again repetitive process by the series of wall filter in step 2, until increasing effective blood flow point ratio newly
Untill threshold value.
As a kind of preferred solution of the above method, investigated in step 3 by low velocity flow detection module and increase effective blood newly
Flow point, interlacing point is investigated using the new luminance threshold of setting；It is used for detecting the luminance threshold of blood flow in step 1 and step 2
E0, the whole blood flow points provided with step 2 do radix, to calculate average brightness value, standard deviation；Calculation formula is：
Then point-by-point comparison, now new threshold value Enew=EA- σ is the original E of a ratio0Low numerical value, if E<Enew,
The effective blood flow point being then considered after epicycle investigation, otherwise, is then determined as non-blood flow point.
As a kind of preferred solution of the above method, investigated in step 3 by low velocity flow detection module and increase effective blood newly
Flow point, continues to investigate using energy ratio；The energy ratio R=P of signal after step 2 wall filtering and before2/P2original,
P2For the signal autocorrelation processing after step 2 wall filtering, P2originalHandled for the signal autocorrelation before step 2 wall filtering,
Preset a threshold value R0If meet R>R0, then then it is considered effective blood flow point, otherwise, is then determined as non-blood flow point.
As a kind of preferred solution of the above method, investigated in step 3 by low velocity flow detection module and increase effective blood newly
Flow point is, it is necessary to exclude isolated point；Using the region of 5x5=25 point as identifying unit, most middle point is target point, surrounding
24 adjoint points are shared, including 4 nearest neighbor points；Region shares 5 rows 5 and arranges, including one's own profession and Ben Lie, 2 nearest adjacent rows and
Row, 2 neighbour's row and columns：Non-orphaned point need to meet the following conditions at the same time：
A.4 a arest neighbors position at least two blood flow points；
B. two nearest a minimum of 1 of adjacent columns show blood flow point and continuation column is more than or equal to 3；
C. two nearest a minimum of 1 rows of adjacent rows have blood flow point and continuous row is more than or equal to 3；
D.24 a minimum of 9 of a regional location blood flow point adjacent to each other.
Through the above technical solutions, the beneficial effect of technical solution of the present invention is：Methods and apparatus of the present invention being capable of root
Wall filter series is automatically adjusted according to newly-increased effective blood flow point ratio, improves and low velocity flow, such as venous blood flow is detected
Accuracy, it is especially significant when shortage for doppler ultrasound device operator experience, operator can be helped to obtain
Accurate blood-stream image simultaneously effectively avoids mistaken diagnosis.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the blood flow detection method flow block diagram of the doppler ultrasound described in embodiment in the present invention.
Fig. 2 is the ultrasonic power spectrogram of the wall filter of the different series described in embodiment in the present invention.
Fig. 3 be the present invention in embodiment wall filter 2 with respect to wall filter 1 and caused by blood flow point set change signal
Figure.
Fig. 4 is the general frame of the flow described in embodiment in the present invention.
Fig. 5 is the algorithm flow chart of the non-blood flow point of adjustment luminance threshold investigation described in embodiment in the present invention.
Fig. 6 is the algorithm flow chart that non-blood flow point is investigated according to energy ratio described in embodiment in the present invention.
Fig. 7 is that the definition region isolated point in the present invention described in embodiment investigates illustration.
Fig. 8 is the algorithm flow chart of the investigation isolated point described in embodiment in the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment, belongs to the scope of protection of the invention.
Embodiment
The present invention proposes that one kind can be according to view data come adjust automatically wall filter, so as to improve for low velocity flow
Detection, solve the problems, such as that blood flow information missing or tissue signal are mistaken as blood flow in the detection of current low velocity flow, are reduced
The method and apparatus of mistaken diagnosis probability.
With reference to Fig. 1, the wall filtering of C mode, auto-correlation and blood flow detection are all completed by FPGA processing modules, final detection
Result up to standard will be output to DSC scan conversion modules and show.
Different from conventional C mode processing method, the present invention is provided with two wall filters, and first is conventional
Wall filter 1, according to the difference of measurement target, is set as that middle rank or middle rank are less than normal by initial series.Signal warp after wall filtering
Speed and power information are obtained after the processing of auto-correlation processing module 1 and the monochrome information E of B ultrasound is combined by blood flow detection module 1, is sentenced
It is blood flow point to make which point, and related blood stream information is passed to blood flow detection module 2.
The present invention is also provided with wall filter 2 at the same time, which is set as the filtering series of smaller, that is to say, that
More signals will be retained.Signal after wall filtering 2 will pass to auto-correlation together with the signal before wall filtering 2
Processing module 2, in addition to common speed and power information, the more item data in here, is exactly after wall filtering and before
Signal energy ratio, be defined as R=P2/P2original, wherein P2Signal autocorrelation processing after wall filtering 2,
P2originalSignal autocorrelation processing before wall filtering 2.Because wall filtering can filter most tissues signal, group
The energy ratio of blood flow signal can be significantly lower than by knitting the energy ratio of signal.
Information above passes to blood flow detection module 2, and with reference to the monochrome information E of B ultrasound, it is blood flow point to determine which point.
At the same time by compared with the blood flow point that blood flow detection module 1 provides, newly-increased blood flow point set is picked out, is counted together with front
The speed of calculation, power, energy ratio, B ultrasound information etc. pass to low velocity flow detection module in the lump.Through low velocity flow detection module
After investigation, partial dot can be fallen by investigation, still retained blood flow point, then it is assumed that be the effective blood reduced after wall filtering series
Flow point, does a criterion again here, if the High frequency filter that this part increases effective blood flow point newly and blood flow detection module 1 provides
The ratio of blood flow point is less than certain threshold value C<C0, we are considered as having reached the effect for improving and adjusting, without continuing to adjust
Wall filtering series.Conversion only need to be carried out with the merging of blood flow detection module 1 to show.If C still exceedes threshold value C0, then it is assumed that
Wall filtering series is low not enough, it is necessary to continue to reduce.Then obtained blood flow information is preserved, then wall filter
1 series is adjusted to the series of wall filter 2, and wall filter 2 repeats above-mentioned computing than an original lower series again, until
Effective blood flow point ratio is increased newly less than untill threshold value.The ultrasonic power spectrogram of the wall filter of different series is shown in Fig. 2.Specific hair
Bright flow chart is shown in Fig. 4.
Specific analysis is done below.Fig. 3 be wall filter 2 with respect to wall filter 1 and caused by blood flow point set change
Schematic diagram.Fig. 3 only has high speed blood flow to come from blood flow detection module 1, that is, the effect of wall filter 1.Reduce wall filtering
Device series, which brings new low velocity flow information, (to be had the new blood flow information of the original blood flow of neighbour, also there is the new blood flow being separately separated
Information), but organizational information (having close vascular wall, also have individually remote) is also brought at the same time, there is partial noise interference.This
The inside, noise jamming is usually relatively isolated, caused by blood flow point it is less and do not concentrate.Because for blood flow detection module 1 and 2,
For detecting the luminance threshold E of blood flow0It is unified, so excessively bright tissue is fallen by investigation already, remaining blood flow here
Be organized in brightness difference relatively, but because the echo of tissue is stronger, in contrast, brighter base
This is all still organized, and is only blood flow than dark, that is to say, that the level threshold value E of script0It is more relaxed, have what is further adjusted
Space.Although the speed of blood flow and tissue among newly-increased point, power and brightness are all more close, in wall filtering 2 before
When, tissue has still been filtered most energy, just becomes to approach with blood flow energy.In this manner it is possible to pass through wall filtering
Energy ratio is further investigated before and after device 2, so as to farthest obtain really effective blood flow point.It is exactly specific above
Implement the principle of investigation.
Specific step is explained presently in connection with Fig. 4 to Fig. 8.
It is to set new luminance threshold to investigate more interlacing points first.The whole provided with blood flow detection module 2
Blood flow point does radix, to calculate average brightness value, standard deviation.Calculation formula is：
Then point-by-point comparison, now new threshold value Enew=EA- σ is the original E of a ratio0Low numerical value, if E<Enew,
The effective blood flow point being then considered after epicycle investigation, otherwise, is then determined as non-blood flow point.Algorithm flow chart is as shown in Figure 5.
Next, to remaining blood flow point after last round of investigation, previously stored energy ratio is recalled to do new round investigation.
Mention R=P in front2/P2original, a threshold value R can be preset here0If meet R>R0, then it is assumed that it is having after epicycle is investigated
Blood flow point is imitated, otherwise, is then determined as non-blood flow point.Algorithm flow chart is as shown in Figure 6.
Investigated by this two-wheeled, interlacing point has all been investigated substantially, remaining if isolated existing point is basic
It is noise jamming, it is isolated also little in the presence of the judgement meaning to inspection even if having other a blood flow and interlacing point, so using below
Algorithm investigation falls isolated point.Algorithm flow chart is as shown in Figure 8.
Here the definition to isolated point is, using the region of 5x5=25 point as identifying unit, as shown in fig. 7, middle
It is target point a little louder, around shares 24 adjoint points, including 4 nearest neighbor point.Region shares 5 rows 5 and arranges, including one's own profession and sheet
Row, 2 arest neighbors row and columns, 2 neighbour's row and columns.
Non-orphaned point need to meet the following conditions at the same time：
A.4 a arest neighbors position at least two blood flow points；
B. two nearest a minimum of 1 of adjacent columns show blood flow point and continuation column is more than or equal to 3；
C. two nearest a minimum of 1 rows of adjacent rows have blood flow point and continuous row is more than or equal to 3；
D.24 a minimum of 9 of a regional location blood flow point adjacent to each other.
I, II, III in Fig. 7 is the example of qualified non-orphaned point, and IV, V, VI is ineligible isolate
The example of point, wherein IV is unsatisfactory for condition a, V is unsatisfactory for condition b, and VI is unsatisfactory for condition d.
Fig. 8 is the algorithm flow chart of epicycle investigation.After this wheel investigation, isolated noise jamming is excluded.
Three-wheel investigation terminates, and is compared with wall filter 1, and the newly-increased blood flow point that wall filter 2 is brought carefully is inspected investigation,
To ensure the substantially real effectively blood flow point of effective information point left.By obtained after investigation it is newly-increased effectively blood flow point with
Blood flow detection module 1 obtains the merging of high frequency blood flow point, is preserved as the effective blood flow point having been acknowledged.
If this part increases effective blood flow point quantity newly very little, ratio is less than threshold value, then it is assumed that is further continued for reducing wave filter
Series has had little significance.If it is very high to increase effective blood flow point ratio newly, wall filter 2 can be continued to reduce level-one, wall filter
Ripple device 1 then takes the series of wall filter 2, restarts to calculate, with obtain the effective blood flow point of more low speed and with having before
Imitate blood flow point to merge, until automatic adjustment is completed, and untill exporting the low velocity flow detection image after improving.
Method and apparatus proposed by the present invention, can automatically adjust wall filter level according to newly-increased effective blood flow point ratio
Number, improves to low velocity flow, such as the accuracy of venous blood flow detection, lacks for doppler ultrasound device operator experience
When it is especially significant, operator can be helped to obtain accurate blood-stream image and effectively avoid mistaken diagnosis.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one
The most wide scope caused.
Claims (7)
1. a kind of device that low velocity flow Doppler signal is detected by wall filter, it is characterised in that including two wall filterings
Device, two auto-correlation processing modules, two blood flow detection modules, a low velocity flow detection module and scan conversion module；Two
The filtering series that the wall filter uses is different, and detection signal of two wall filters to doppler ultrasound equipment carries out wall
Filtering；Each wall filter and an auto-correlation processing module and a blood flow detection module are successively into horizontal electrical signal
Connection；Connect with the blood flow detection module being connected using the wall filter of high filtering series with the scan conversion module
Connect；The blood flow detection module being connected with using the wall filter of low filtering series and the low velocity flow detection module
Connection；The low velocity flow detection module is connected with the scan conversion module；The two blood flow detection modules are connected with each other.
2. the device according to claim 1 that low velocity flow Doppler signal is detected by wall filter, it is characterised in that
Further include display module；The display module is connected with the scan conversion module, after scan conversion module processing
Information come out by image display.
A kind of 3. method that low velocity flow Doppler signal is detected by wall filter, it is characterised in that using claim 1 or
The device that low velocity flow Doppler signal is detected by wall filter described in 2, comprises the following steps：
Step 1, by a wall filter, according to the difference of measurement target, the initial series of the wall filter is set, it is right
The detection signal of doppler ultrasound equipment carries out wall filtering；To the signal after wall filter through an auto-correlation processing module at
Speed and power information are obtained after reason and by the monochrome information E of a blood flow detection module combination B ultrasound, determine which point is
Blood flow point, and related blood stream information is passed into another blood flow detection module；
Step 2, the filtering series of a smaller is set by another wall filter, carries out wall filtering, the signal after wall filtering will be with
Signal before wall filtering passes to another auto-correlation processing module together, obtains speed and power information and wall filtering
The energy ratio of signal afterwards and before；Another blood flow detection module is passed information to again, with reference to the monochrome information E of B ultrasound, is sentenced
It is blood flow point to make which point；
Step 3, the blood flow point that the blood flow point and step 2 step 1 provided provides is compared, the blood flow increased newly in step 2
Point set is picked out, and passes to low velocity flow detection module in the lump together with other information；Investigation through low velocity flow detection module
Afterwards, newly-increased effective blood flow point is investigated out.
4. the method according to claim 3 that low velocity flow Doppler signal is detected by wall filter, it is characterised in that
Step 4 is further included, the newly-increased effectively blood flow point quantity of blood flow point and the High frequency filter of step 1 of step 3 is contrasted, and judgement is
It is no to need to degrade to wall filter；The newly-increased effectively blood flow point quantity phase of blood flow point and the High frequency filter of step 1 of step 3
The ratio C removed is less than certain threshold value C0, that is, think to have reached the effect for improving and adjusting, without continuing to adjust wall filtering level
Number；Conversion only need to be carried out with the merging of the information of the blood flow detection module of step 1 to show；If C still exceedes threshold value C0, then
Assert that wall filter series is low not enough, it is necessary to continue to reduce；Obtained blood flow information is preserved, then step
The series of wall filter is updated to the series of wall filter in step 2 in 1, the series of wall filter in step 2 is changed to lower
One series, repetitive process again, untill increasing effective blood flow point ratio newly and being less than threshold value.
5. the method according to claim 3 that low velocity flow Doppler signal is detected by wall filter, it is characterised in that
Investigated in step 3 by low velocity flow detection module and increase effective blood flow point newly, group is investigated using the new luminance threshold of setting
Knit a little；It is used for detecting the luminance threshold E of blood flow in step 1 and step 20, the whole blood flow points provided with step 2 do radix, next
Calculate average brightness value, standard deviation；Calculation formula is：
Then point-by-point comparison, now new threshold value Enew=EA- σ is the original E of a ratio0Low numerical value, if E<Enew, then recognize
To be effective blood flow point after epicycle is investigated, otherwise, then it is determined as non-blood flow point.
6. the method according to claim 5 that low velocity flow Doppler signal is detected by wall filter, it is characterised in that
Investigated in step 3 by low velocity flow detection module and increase effective blood flow point newly, continue to investigate using energy ratio；Step 2 wall
The energy ratio R=P of signal after filtering and before2/P2original, P2Handled for the signal autocorrelation after step 2 wall filtering,
P2originalFor the signal autocorrelation processing before step 2 wall filtering, a threshold value R is preset0If meet R>R0, then then recognize
To be effective blood flow point, otherwise, then it is determined as non-blood flow point.
7. the method according to claim 6 that low velocity flow Doppler signal is detected by wall filter, it is characterised in that
Investigated in step 3 by low velocity flow detection module and increase effective blood flow point newly, it is necessary to exclude isolated point；With 5x5=25 point
Region as identifying unit, most middle point be target point, 24 adjoint points are around shared, including 4 nearest neighbor points；Area
Domain shares 5 rows 5 and arranges, including one's own profession and Ben Lie, 2 arest neighbors row and columns, 2 neighbour's row and columns：Non-orphaned point need to expire at the same time
Sufficient the following conditions：
A.4 a arest neighbors position at least two blood flow points；
B. two nearest a minimum of 1 of adjacent columns show blood flow point and continuation column is more than or equal to 3；
C. two nearest a minimum of 1 rows of adjacent rows have blood flow point and continuous row is more than or equal to 3；
D.24 a minimum of 9 of a regional location blood flow point adjacent to each other.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110477955A (en) * | 2019-08-22 | 2019-11-22 | 电子科技大学 | A kind of blood vessel automatic identifying method based on I/Q data |
| WO2021217658A1 (en) * | 2020-04-30 | 2021-11-04 | 深圳迈瑞生物医疗电子股份有限公司 | Method for processing blood flow vector speed, method for processing spectrum of blood flow, and ultrasonic device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110477955A (en) * | 2019-08-22 | 2019-11-22 | 电子科技大学 | A kind of blood vessel automatic identifying method based on I/Q data |
| WO2021217658A1 (en) * | 2020-04-30 | 2021-11-04 | 深圳迈瑞生物医疗电子股份有限公司 | Method for processing blood flow vector speed, method for processing spectrum of blood flow, and ultrasonic device |
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