CN103211588B - Blood flow velocity imaging method based on transverse velocity model - Google Patents

Blood flow velocity imaging method based on transverse velocity model Download PDF

Info

Publication number
CN103211588B
CN103211588B CN201310161275.9A CN201310161275A CN103211588B CN 103211588 B CN103211588 B CN 103211588B CN 201310161275 A CN201310161275 A CN 201310161275A CN 103211588 B CN103211588 B CN 103211588B
Authority
CN
China
Prior art keywords
flow velocity
cmos camera
blood flow
transverse
body surface
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
CN201310161275.9A
Other languages
Chinese (zh)
Other versions
CN103211588A (en
Inventor
王毅
周红仙
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.)
Bengbu Zhongzhi Intellectual Property Operation Co., Ltd.
Original Assignee
王毅
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 王毅 filed Critical 王毅
Priority to CN201310161275.9A priority Critical patent/CN103211588B/en
Publication of CN103211588A publication Critical patent/CN103211588A/en
Application granted granted Critical
Publication of CN103211588B publication Critical patent/CN103211588B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention provides a blood flow velocity imaging method based on a transverse velocity model. The method includes the steps that laser which is subjected to beam expansion is used for irradiating the body surface, and a CMOS camera is used for carrying out continuous imaging on irradiated areas; motion of red cells in shallow blood vessels of the body surface causes fluctuation of backscattering light intensity; an overall pixel matrix is used as a paralleled detector array, and each pixel in the CMOS camera is used as an independent detector; light intensity signals recorded by each pixel form an independent signal sequence, a normalized autocorrelation function of each signal sequence is calculated after continuous imaging; and the gradient of a linear area before a first zero point of the normalized autocorrelation function is the crossing time tau0 of the red cells transversely penetrating through detecting focal spots, and the transverse speed of the red cells is Vtransverse=w/tau0, and w is the transverse width of the detecting light focal spots.

Description

Blood flow velocity formation method based on transverse flow speed model
Technical field
The present invention relates to blood flow imaging technical field, particularly a kind of blood flow velocity formation method based on transverse flow speed model.
Background technology
The fast imaging that body surface shallow-layer microcirculqtory system blood flow velocity distributes, be widely used clinically, at present, the blood flow imaging technology of Noninvasive comprises: Speckles Technique, acoustic doppler velocimeter, Doppler laser velocimeter, doppler optical coherence chromatography, the laser Doppler perfusion imaging technology based on high-speed cmos camera.Speckles Technique can not carry out quantitative measurement, is not also suitable for flow velocity faster, and acoustic doppler velocimeter can only be for trunk, cannot be for microcirculqtory system.Doppler optical coherence chromatography and Doppler laser velocimeter are all spot measurements, need mechanical scanning to realize larger area imaging, and image taking speed is slow.Laser Doppler perfusion imaging technology based on high-speed cmos camera is the improvement to Doppler laser velocimeter, the same with Doppler laser velocimeter is all based on Doppler effect, use frame rate for the high-speed cmos camera of 20KHZ left and right, replace mechanical scanning, realize fast imaging.But this high-speed cmos camera and needed googol, according to transmission and processing speed, make the cost of this imaging technique very high, it is larger that while blood flow velocity result is affected by doppler angle uncertainty.
Summary of the invention
The object of the invention is to provide a kind of blood flow velocity formation method based on transverse flow speed model, it can intermittently pass in and out the low frequency fluctuation of surveying the backscattering light intensity signal that light focal spot causes by erythrocyte and remove to calculate blood flow velocity, with the method for the high frequency Fluctuation Calculation blood flow velocity being caused by Doppler effect that replaces using at present.
Technical solution proposed by the invention is such:
A kind of blood flow velocity formation method based on transverse flow speed model, this formation method comprises the steps: to use the laser 5 through expanding to irradiate body surface 6, with 7 pairs of area to be illuminated territory continuous imagings of CMOS camera, the light intensity signal of CMOS camera 7 each pixel record forms independently signal sequence, calculate the normalized autocorrelation functions of each signal sequence, before first zero point of normalized autocorrelation functions, the slope in partial linear region is that erythrocyte 1 is horizontally through the transition time of surveying light focal spot 2 , erythrocytic lateral velocity is , wherein, for surveying the transverse width of light focal spot.
Principle of the present invention is as follows: the laser 5 through expanding is to irradiate body surface 6 with the subvertical direction of body surface 6, with 7 pairs of area to be illuminated territories of CMOS camera, carry out continuous imaging, the whole picture element matrix of CMOS camera 7 is equivalent to parallel detector array, each pixel is an independently detector, records corresponding focus place time dependent backscattering light intensity signal.Suppose that the blood circumstance at the focal spot place that certain pixel is corresponding is as shown in Fig. 1 (a), in figure, stain represents mobile erythrocyte, dotted rectangle frame table shows the focal spot 2 of surveying light, when erythrocyte does not enter detection light focal spot 2, the signal reflecting back is very weak, when erythrocyte 1 enters detection light focal spot 2, have stronger reflected signal, therefore be subject to the interrupted turnover of mobile erythrocyte 1 to survey the modulation of light focal spot 2, backscattering light intensity signal forms pulse one by one in time, when erythrocyte 1 translational speed is when slower, time through detection light focal spot 2 is longer, the pulse width producing is larger, when erythrocyte 1 translational speed is when very fast, time through detection light focal spot 2 is shorter, the pulse width producing is narrower, the corresponding erythrocyte 1 of time width of pulse is through the time of surveying light focal spot 2, it is the transition time .In Fig. 1 (a), in non-focusing region, through the erythrocyte 3,4 of detecting light beam, because these erythrocyte 3,4 are outside focal spot 2, less on the impact of backscattering light intensity signal, therefore, the erythrocytic impact outside focal spot 2 can be ignored.In Fig. 1 (b), rectangle frame represents the focal spot 2 amplifying, and erythrocyte is with speed flow through focal spot 2, survey light vertically, doppler angle is , longitudinal component cause Doppler frequency shift, be assumed to ; Erythrocyte is with lateral velocity through surveying light focal spot 2, back-scattering light can be expressed as , suppose blood vessel around the back-scattering light of stationary tissue be , this two parts light all enters detector and interferes (being heterodyne method), and the light detecting is , because much smaller than , the light intensity signal detecting can be reduced to , as shown in Figure 2 (a) shows, the higher-order of oscillation wherein derives from Doppler effect, so,, the blood flow imaging method based on Doppler effect is all that analysis of high frequency vibration signal calculates flow velocity, higher to the frame frequency requirement of camera, generally at 20KHZ.Low frequency envelope in Fig. 2 (a) (as shown in Fig. 2 (b)) corresponding to , the pulse in Fig. 2 (b) is exactly that erythrocyte forms through surveying light focal spot, so width average time of pulse is exactly, and erythrocyte is through the time of surveying light focal spot, i.e. transition time , suppose that the transverse width of surveying light focal spot is , erythrocytic lateral velocity .Because the frequency of the low-frequency pulse in Fig. 2 (b) is lower, therefore the frame frequency of camera is required to be not less than 500HZ.When the time of exposure of camera is greater than several cycle of the higher-order of oscillation that Doppler effect causes, the higher-order of oscillation that Doppler effect causes, just by average, only has erythrocyte intermittently to pass in and out and surveys the low-frequency pulse that light focal spot causes, as shown in Fig. 2 (b) in signal.
Although transverse flow speed model can only obtain the cross stream component of flow velocity, , for actual flow velocity, for doppler angle, because body surface shallow-layer blood vessel major part is all to approach parallel distribution with body surface, when imaging system and irradiating laser and body surface approach when vertical, doppler angle scope between 90 °~80 °, the scope of flow velocity cross stream component exists between, approach very much actual flow velocity so, with transverse flow speed, can represent actual flow velocity, need not consider the impact of unknown doppler angle, and the current blood flow imaging method based on Doppler effect obtains, be the longitudinal component of flow velocity, , work as doppler angle scope exist in the time of between degree, result is , and actual flow velocity differ larger, can not reflect true flow velocity.
For the signal as shown in Fig. 2 (b), by normalized autocorrelation functions, calculated the mean breadth of pulse, i.e. the transition time ,
(1)
In above formula the auto-correlation function of the light intensity signal that expression detects.
Fig. 3 (a) and (b), (c) represent respectively the low frequency envelope signal that flow velocity ratio detects while being 4:2:1, although under same speed, width and the amplitude of the backscattering light pulse that erythrocyte produces while passing detection light focal spot are variant, but the width of flow velocity and pulse has obvious dependency.The normalized autocorrelation functions of Fig. 3 (a) and (b), (c) is as shown in Fig. 3 (d), cross hairs, solid line and the dotted line result that corresponding flow velocity ratio is 4:2:1 respectively, choose that between two horizontal dotted lines, the reasonable region of the linearity is as slope computer capacity (being that ordinate value is the scope between 0.2~0.8), the inverse of the slope that three is corresponding (is the transition time ) ratio be 19:10:6, the ratio of transverse flow speed is 1:1.9:3.2, and flow velocity is substantially identical.
Compared with prior art, the present invention has following remarkable result:
(1) the present invention proposes a kind of computation model of flow velocity cross stream component, by erythrocyte, intermittently pass in and out the low frequency fluctuation of surveying the backscattering light intensity signal that light focal spot causes and calculate flow velocity, replace the method for the high frequency Fluctuation Calculation flow velocity being caused by Doppler effect of use at present, make the minimum requirements of CMOS camera frame frequency be reduced to 500HZ by existing 20KHZ, thereby reduced the requirement to CMOS camera and data transmission and processing speed.
(2) what this method was measured is flow velocity cross stream component, and doppler Method is measured, be flow velocity longitudinal component, body surface shallow-layer blood vessel major part is all to approach parallel distribution with body surface, flow velocity cross stream component be subject to doppler angle probabilistic affect less, thereby, more approach real blood flow rate.
Accompanying drawing explanation
Fig. 1 (a) is the blood flow velocity imaging schematic diagram based on transverse flow speed model, represents that erythrocyte is flowed through to survey the schematic diagram of light focal spot 2 in figure.
Fig. 1 (b) is the enlarged drawing of the detection light focal spot shown in Fig. 1 (a).
Fig. 2 (a) represents the light intensity signal that CMOS camera detects.
The light intensity signal that Fig. 2 (b) expression detects is removed the envelope of the higher-order of oscillation.
Fig. 3 (a) represents that flow velocity ratio is the envelope that the light intensity signal that detects is removed the higher-order of oscillation at 4 o'clock.
Fig. 3 (b) represents that flow velocity ratio is the envelope that the light intensity signal that detects is removed the higher-order of oscillation at 2 o'clock.
Fig. 3 (c) represents that flow velocity ratio is the envelope that the light intensity signal that detects is removed the higher-order of oscillation at 1 o'clock.
The normalized autocorrelation functions of the low frequency envelope that Fig. 3 (d) expression detects according to Fig. 3 (a), Fig. 3 (b), Fig. 3 (c).
Fig. 4 is the structural representation of the blood flow velocity imaging device based on transverse flow speed model.
The specific embodiment
By embodiment below, the present invention is further elaborated.
Shown in Figure 4, a kind of blood flow velocity imaging device based on transverse flow speed model is comprised of laser instrument 10, beam expanding lens 9, imaging system 8, CMOS camera 7 and computer 11.The blood flow that object 6 to be measured is palm top layer is body surface, the laser that laser instrument 10 sends irradiates body surface 6 after beam expanding lens 9 expands, the laser 5 expanding approaches vertical with body surface 6, imaging system 8 makes irradiated area image in CMOS camera 7, computer 11 is controlled the image of CMOS camera 7 continuous acquisition imaging regions, each pixel of CMOS camera 7, as detector independently, records corresponding focus place time dependent backscattering light intensity signal.The focus point of supposing pixel 12 correspondences is 13, and the signal that pixel 12 collects is , calculate normalized autocorrelation functions, the slope in partial linear region is that erythrocyte 1 is horizontally through the transition time of surveying light focal spot 2 before first zero point of normalized autocorrelation functions , with formula (1), calculate erythrocyte through the transition time of 13 focal spots 2 , transverse flow speed is , here to survey light focal spot 2 transverse widths.
Survey light focal spot 2 transverse widths by following methods, measured: by a known flow rate, be in vitro blood flow as sample, regulate light beam and blood flow flow direction to approach vertical, according to above-mentioned same method, measure the time that erythrocyte passes detection light focal spot 2 , can obtain .
Therefore, transverse flow speed is .
Signal sequence to CMOS camera 7 each pixel record is processed according to above method, can obtain the blood flow rate distributed image of whole imaging region.
Parameter for the blood flow velocity imaging device critical piece based on transverse flow speed model of this method is as follows: the frame frequency of CMOS camera 7 is 500HZ; The time of exposure of selecting CMOS camera 7 is that second 100 is delicate.

Claims (1)

1. the blood flow velocity formation method based on transverse flow speed model, it is characterized in that: be provided with by laser instrument (10), beam expanding lens (9), imaging system (8), the blood flow velocity imaging device based on transverse flow speed model that CMOS camera (7) and computer (11) form, adopt this device to carry out laser irradiation body surface (6) after beam expanding lens (9) expands that blood flow velocity formation method comprises the steps: that laser instrument (10) sends, the laser expanding (5) approaches vertical with body surface (6), imaging system (8) makes irradiated area image in CMOS camera (7), computer (11) is controlled the image of CMOS camera (7) continuous acquisition imaging region, each pixel of CMOS camera (7) is as detector independently, record corresponding focus place time dependent backscattering light intensity signal, calculate the normalized autocorrelation functions of the time dependent light intensity signal of each pixel record, before first zero point of normalized autocorrelation functions, the slope of the range of linearity is that erythrocyte (1) is horizontally through the transition time of surveying light focal spot (2) , erythrocytic lateral velocity is , wherein, for surveying the transverse width of light focal spot.
CN201310161275.9A 2013-05-06 2013-05-06 Blood flow velocity imaging method based on transverse velocity model Active CN103211588B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310161275.9A CN103211588B (en) 2013-05-06 2013-05-06 Blood flow velocity imaging method based on transverse velocity model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310161275.9A CN103211588B (en) 2013-05-06 2013-05-06 Blood flow velocity imaging method based on transverse velocity model

Publications (2)

Publication Number Publication Date
CN103211588A CN103211588A (en) 2013-07-24
CN103211588B true CN103211588B (en) 2014-10-22

Family

ID=48810007

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310161275.9A Active CN103211588B (en) 2013-05-06 2013-05-06 Blood flow velocity imaging method based on transverse velocity model

Country Status (1)

Country Link
CN (1) CN103211588B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106054159B (en) * 2016-05-12 2018-09-11 北京航空航天大学 A kind of instantaneous frequency distilling method of Doppler signal
CN109924969A (en) * 2019-04-19 2019-06-25 优谱激光科技(南京)有限公司 A kind of laser imaging blood perfusion detection device with light probe
CN110192852B (en) * 2019-06-18 2020-10-16 东北大学 Flow velocity transverse component measuring system and method for double-scanning-line optical coherence tomography

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8688188B2 (en) * 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7583380B2 (en) * 2003-03-11 2009-09-01 Koninklijke Philips Electronics N.V. Spectroscopic analysis apparatus and method with excitation system and focus monitoring system
CN102013437B (en) * 2009-09-07 2014-11-05 苏州捷芯威半导体有限公司 Semiconductor device and making method thereof
CN103002794B (en) * 2010-02-08 2016-08-17 奥勒冈保健科学大学 Apparatus and method for for ultra-high sensitive optics blood capillary imaging technique
CN102657518B (en) * 2012-04-19 2013-11-20 中国科学院上海光学精密机械研究所 Method of complex frequency-domain optical coherence tomography using differential sinusoidal phase modulation
CN102657519B (en) * 2012-05-11 2013-11-20 浙江大学 OCT (optical coherence tomography)-based high-sensitivity measurement system and method with large dynamic range of flow speed

Also Published As

Publication number Publication date
CN103211588A (en) 2013-07-24

Similar Documents

Publication Publication Date Title
Novara et al. Lagrangian 3D particle tracking in high-speed flows: Shake-The-Box for multi-pulse systems
Novara et al. Multi-exposed recordings for 3D Lagrangian particle tracking with multi-pulse Shake-The-Box
JP4405154B2 (en) Imaging system and method for acquiring an image of an object
CN101023377B (en) Method and device for studying the relative movement of a surface using an interferometer
JP6852730B2 (en) Speckle measuring device and speckle measuring method
US11692810B2 (en) Photoacoustic excitation sensing enhanced by cross-correlated unfocused speckle images
EP3287080B1 (en) Photoacoustic wave detecting device, and photoacoustic imaging device
JP4545666B2 (en) Fluid measuring device and fluid measuring method
Meier et al. Imaging laser Doppler velocimetry
CN103211588B (en) Blood flow velocity imaging method based on transverse velocity model
CN110179446A (en) A kind of multi-modality imaging equipment for combining optoacoustic and laser speckle
CN107036534A (en) Method and system based on laser speckle measurement Vibration Targets displacement
US11187648B2 (en) Two-stage photo-acoustic excitation sensing systems and methods
Neri et al. Low-speed cameras system for 3D-DIC vibration measurements in the kHz range
CN108175399A (en) A kind of whole-field optically blood flow velocity analytical equipment and its implementation
JP2010175550A (en) Method and device for detecting shape of three-dimensional object
CN106491078B (en) Remove the method and device of ordered dither noise in blood-stream image
Bian et al. A dual-camera cinematographic PIV measurement system at kilohertz frame rate for high-speed, unsteady flows
CN110954509A (en) Laser speckle contrast imaging device and method for realizing deep tissue detection
CN115901178A (en) System and method for measuring and analyzing wave resonance flow field characteristics among multi-body marine structures
KR101866764B1 (en) Range Image Sensor comprised of Combined Pixel
CN109974591B (en) Method for measuring displacement generated by fine particles by using particle fine displacement measuring device
KR100866393B1 (en) In-plane scanning PIV method
CN208958107U (en) A kind of whole-field optically blood flow velocity analytical equipment
Pothos et al. V3V-Volumetric three-component velocimetry for 3D flow measurements main principle, theory and applications

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20181018

Address after: 510640 2414-2416 of the main building 371, five mountain road, Tianhe District, Guangzhou, Guangdong.

Patentee after: Guangdong Gaohang Intellectual Property Operation Co., Ltd.

Address before: 528000 Guangdong Jiangwan Foshan road 18 Chancheng Foshan University apartment 6 unit 412

Patentee before: Wang Yi

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20181101

Address after: 233000 Anhui Bengbu City Huaguang Avenue Jiahe residential area independent commercial building (two floor)

Patentee after: Bengbu Zhongzhi Intellectual Property Operation Co., Ltd.

Address before: 510640 2414-2416 of the main building 371, five mountain road, Tianhe District, Guangzhou, Guangdong.

Patentee before: Guangdong Gaohang Intellectual Property Operation Co., Ltd.

TR01 Transfer of patent right