CN2764305Y - Analysis instrument of cerebrovascular system function and brain circulation dynamics - Google Patents
Analysis instrument of cerebrovascular system function and brain circulation dynamics Download PDFInfo
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- CN2764305Y CN2764305Y CN 200520038825 CN200520038825U CN2764305Y CN 2764305 Y CN2764305 Y CN 2764305Y CN 200520038825 CN200520038825 CN 200520038825 CN 200520038825 U CN200520038825 U CN 200520038825U CN 2764305 Y CN2764305 Y CN 2764305Y
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Abstract
The utility model discloses a kinetic analysis instrument of cerebrovascular system function and brain circulation, which comprises a detection system, an acquisition and analysis system and a data storage and output system, wherein the detection system comprises a blood viscosity detection module, a B type ultrasonic detection module, a physiological stress detection module and a flow velocity waveform detection module of continuous wave Doppler. The acquisition and analysis system comprises a computer, an A/D card for transforming an analogue signal obtained by the detection system into a digit signal, an image acquisition card, a passive backplane and an analytical calculation software module, wherein the A/D card, the image acquisition card and a main board of the computer are connected in parallel through an ISA insertion slot arranged on the passive backplane. The utility model has the advantages of accurate detection, convenient use, etc. Comprehensive analysis can be carried out to the prevention and the early diagnosis of cerebrovascular diseases, etc. The utility model is of far reaching importance to the basic research and the clinical application of cerebral circulation physiology and the cerebrovascular diseases.
Description
Technical field
This utility model belongs to field of medical technology, specifically a kind of novel cerebrovascular system function and brain recirculation dynamic analytical tool.
Background technology
Atherosclerosis is a kind of chronic disease of serious harm human health, its feature is under tremulous pulse and ramose arterial wall inner membrance and inner membrance the lipid calmness to be arranged, breed down with middle level smooth muscle cell migration to inner membrance simultaneously, make intimal thickening, form the speckle of yellow or lark shape such as medicated porridge sample material.In recent years, along with China's economic construction is growing, living standards of the people improve constantly, the trend that the sickness rate of primary disease is significantly increased in China.According to the postmortem result, in 40~49 years old crowd, the recall rate of coronary artery and atherosclerosis of aorta pathological changes is respectively 58.36% and 88.31%, and increases with advancing age and gradually.
Atherosclerosis is a kind of disease of general, but atheromatous plaque only appears at some specific angiosomes of vascular system, and carotid artery vascular is exactly one of easy important area that forms of atherosclerosis.Carotid artery system is being supplied before the cerebral hemisphere 3/5 blood by internal carotid artery, anterior cerebral artery and middle cerebral artery.Therefore, carotid arterial atherosclerosis will have a strong impact on the cerebrovascular blood supply of distal end and cause serious consequence.For example, cause ischemic cerebrovasculars such as cerebral ischemia, brain atrophy owing to atherosclerosis causes carotid narrow meeting, the atheromatous plaque that comes off also forms embolus easily, thereby causes cerebral embolism.A large amount of studies show that, carotid arterial atherosclerosis not only with the very confidential relation that has of many cerebrovascular, it also has good dependency with some cardiovascular disease such as coronary heart disease etc.In view of top reason, carotid artery vascular becomes one of focus of atherosclerosis study.
Progression of atherosclerosis is to certain degree, when the obvious pathological changes of organ is especially arranged diagnosis not difficult, but early diagnosis is not easy very much.Because progression of atherosclerosis become irreversible to late period, often can only take stopgap measures and can not effect a permanent cure for the operative treatment of some angiostenosiss that form owing to atherosclerosis etc., relapse rate is very high.Therefore then seem extremely important for atherosclerotic early diagnosis and to the research of the mechanism of its formation.
Modern study generally acknowledges that the blood vessel wall shearing stress plays main decisive action to atherosclerotic diseased region, scope and degree.A large amount of experiments and research show that also the environment of the low shearing stress of pulsation will cause atherosclerotic generation.Therefore no matter the shearing stress index of accurate and AT detection carotid artery arteries and veins is for atherosclerotic prevention, early diagnosis, and still physiology, the pathological research for cardiovascular and cerebrovascular disease all has crucial meaning.
Present cerebral circulation analyser both domestic and external can only carry out computational analysis to the kinetic parameter of reflection cerebral circulation function, can not be to causing the main cause of cerebrovascular disease---and atherosclerosis is carried out early stage diagnosis; And aspect the calculating of kinetic parameter, scarcely super the or super blood vessels caliber that detects of M of the A that detection or service precision are not high has brought very big error to analysis result.
Summary of the invention
Technical problem to be solved in the utility model is to design a kind of novel heart and brain cycle analysis instrument that can carry out comprehensive comprehensive diagnos to cerebrovascular atherosclerosis and brain recirculation dynamic characteristic, detects the not comprehensive and coarse characteristics of index to overcome existing brain recirculation dynamic analyser.
This utility model uses the horizontal and vertical tomoscan iconography index of carotid artery vascular and the shearing stress index maximum τ of carotid artery vascular wall
Max, meansigma methods τ
Mean, minima τ
Min, and the asymptotic value τ in relaxing period latter stage
dDeng, as the analysis indexes of cerebrovascular atherosclerosis degree and easy-suffering level.Iconography index wherein, comprise that blood vessel wall media thickness and smooth degree can judge the atherosclerosis degree, the shearing stress index can judge that the low shearing stress of vibration will easily cause atherosclerotic formation to atherosclerotic easy-suffering level.
Cerebral hemodynamic parameters such as operating characteristic impedance Z c, Peripheral resistance R, dynamic resistance DR, critical pressure Cp and blood flow rate and blood flow parameter are as the analysis indexes of brain recirculation dynamic.The physiological significance of each parameter is as follows:
1) characteristic impedance Zc
The impedance that the expression pulse wave is run into when a direction is propagated in vascular bed, it is that the reflection patient detects the soft or hard degree of blood vessel constantly.Clinically, arteriosclerosis, hypertension and age increase etc. can cause that Zc raises unusually.
2) Peripheral resistance R
The resistance that expression blood flows and run in the cerebrovascular bed is a directly pointer of reflection blood mobile unimpeded situation in brain peripheral blood vessel bed.Blood vessel embolism, infraction, narrow, blood viscosity increases that R will be increased.
3) dynamic resistance DR
The relation of the blood pressure change amount of expression cerebrovascular system and the corresponding change amount of blood flow.DR reflection cerebral blood flow self regulatory function is blocked relevant with the cerebral arteriosclerosis degree with cerebrovascular.The cerebrovascular regulatory function is poor more, and cerebral arteries is sclerosis more, and DR is big more.
4) critical pressure Cp
Expression starts blood mobile minimum pressure in blood vessel, and it has reflected cerebrovascular blocking, and intracranial hypertension, blood viscosity increase and angiemphraxis etc. cause that many factors of vascular occlusion can cause that all Cp increases.
The index that this utility model detected is closely related.For example, the indexs such as characteristic impedance Zc in the brain recirculation dynamic index also can be judged atherosclerosis to a certain extent.Some index and the cerebral circulation function of shearing stress also have certain dependency.Therefore, the conjoint analysis of two groups of indexs can comprehensive and accurately be carried out early prediction and diagnosis to cerebrovascular disease.
The technical scheme of this utility model technical solution problem is as follows:
A kind of cerebrovascular system function and brain recirculation dynamic analytical tool, comprise detection system, acquisition analysis system and data storage and output system, it is characterized in that, described detection system comprises a blood viscosity detection module that is used to detect patient's blood viscosity, the horizontal and vertical tomoscan image of a carotid artery vascular that is used to detect the patient and the Type B ultrasound detection module of blood vessels caliber, the physical stress detection module of a blood pressure waveform that is used to detect the patient and one are used to detect patient's the flow velocity waveforms of cranium arteria carotis externa and the continuous wave Doppler flow velocity waveforms detection module of numerical value; Described acquisition analysis system comprises computer, the analog signal conversion of detection system acquisition is become A/D card, image pick-up card, passive backplane and the analytical calculation software module of digital signal; Described A/D card, image pick-up card and computer motherboard are by the ISA slot parallel connection on the passive backplane.
The analogue signal that continuous wave Doppler flow velocity waveforms detection module in the detection system and physical stress detection module are obtained is transformed into digital signal by the A/D card, the carotid artery image that Type B ultrasound detection module is detected is by image pick-up card and computer communication, and the blood viscosity detection module is by serial ports on the computer motherboard and computer communication.
By above disclosed technical scheme as can be known, this utility model uses Type B ultrasound detection module to detect blood vessels caliber, compares other and uses the instrument that A is super, M is super or do not detect caliber, has improved the accuracy that detects to a great extent; Simultaneously, the iconography index and the shearing stress index of the carotid artery vascular of reflection cerebrovascular atherosclerosis degree and easy-suffering level have been increased in the analysis indexes by the cerebrovascular system function that this utility model obtained, these indexs can be to causing the main cause of cerebrovascular disease---atherosclerosis is carried out early stage diagnosis and analysis, therefore can more fully analyze the prevention of cerebrovascular disease, early diagnosis etc. in conjunction with the kinetic parameter of reflection cerebral circulation function.
Description of drawings
Fig. 1 is the structured flowchart of this utility model analytical tool;
Fig. 2 is the operating process block diagram of this utility model analytical tool;
Fig. 3 is the data flow block diagram of this utility model analytical tool.
The specific embodiment
Further specify this utility model below in conjunction with accompanying drawing.
Referring to Fig. 1, this utility model cerebrovascular system function and brain recirculation dynamic analytical tool, comprise detection system, acquisition analysis system and data storage and output system, described detection system comprises a blood viscosity detection module that is used to detect patient's blood viscosity, the horizontal and vertical tomoscan image of a carotid artery vascular that is used to detect the patient and the Type B ultrasound detection module of blood vessels caliber, the physical stress detection module of a blood pressure waveform that is used to detect the patient and one are used to detect patient's the flow velocity waveforms of cranium arteria carotis externa and the continuous wave Doppler flow velocity waveforms detection module of numerical value; Described acquisition analysis system comprises computer, the analog signal conversion of detection system acquisition is become A/D card, image pick-up card, passive backplane and the analytical calculation software module of digital signal; Described A/D card, image pick-up card and computer motherboard are by the ISA slot parallel connection on the passive backplane.
The analogue signal that continuous wave Doppler flow velocity waveforms detection module in the detection system and physical stress detection module are obtained is transformed into digital signal by the A/D card, the carotid artery image that Type B ultrasound detection module is detected is by image pick-up card and computer communication, and the blood viscosity detection module is by serial ports on the computer motherboard and computer communication.
The analytical calculation software module adopts the following steps formula to calculate cerebrovascular system function and cerebral hemodynamic parameter:
(1) uses the viscosity number η that the blood viscosity detection module obtains blood samples of patients.
(2) use the B ultrasonic detection module and obtain the carotid ultrasonoscopy of patient, the application image processing method obtains carotid blood vessels caliber D of human body and indexs such as blood vessel wall media thickness and smooth degree.
(3) use continuous wave Doppler flow velocity waveforms detection module, detect carotid flow velocity waveforms and numerical value: V (t).In conjunction with the blood vessels caliber D that (2) are obtained, calculate carotid blood-flow waveform and numerical value: Q (t).And use mathematical method to obtain patient's cardiac cycle T, thereby calculate the fundamental frequency of pulsating flow
(4) according to the blood viscosity η that records, the fundamental frequency omega of blood vessels caliber D and pulsating flow calculates the Womersley number:
ρ is the normal value of density of blood.
Blood-flow waveform is carried out the Fourier progression form decomposes:
Calculate the waveform and the numerical value of blood vessel wall shearing stress according to the shearing stress computing formula:
J wherein
i(x) be the Bessel function on first kind i rank; M is the exponent number that Fourier decomposes.
(5) carotid wall shear stress waveform and numerical value are carried out date processing, obtain the maximum τ of the shearing stress in the cardiac cycle
Max, meansigma methods τ
Mean, minima τ
Min, and the asymptotic value τ in relaxing period latter stage
dEtc. index.
(6) use the physical stress detection module and detect the carotid pressure pulsation waveform of patient, and use patient's systolic pressure Ps and diastolic pressure Pd, pressure waveform is demarcated, thereby obtained carotid pressure waveform and numerical value P (t).
(7) carotid artery flow amount waveform and the numerical value Q (t) that is obtained carried out date processing acquisition maximum stream flow Q
Max, average discharge Q
Mean, minimum discharge Q
Min
(8) calculate cerebrovascular characteristic impedance Zc, Peripheral resistance R, cerebral hemodynamic parameters such as dynamic resistance DR, critical pressure Cp.
To P (t), Q (t) carries out Fourier and decomposes:
According to formula
K=13 estimated performance impedance Z c
According to formula
Calculate Peripheral resistance R
According to formula
Calculate dynamic resistance DR
According to formula Cp=P
d-DRQ
MinCalculate critical pressure Cp
According to Fig. 2 operating process block diagram, this utility model is to implement like this, open software after, newly-built new patient's archives or open existing patient's archives, input or revise patient's information then.Confirm that back applying detection system carries out flow velocity, blood pressure, B ultrasonic, blood viscosity detection to the patient.After detection finished, analytical calculation software carried out computational analysis to data.Can preview or printing cerebrovascular atherosclerosis analysis report and brain recirculation dynamic analysis report after the deposit.
Data flow referring to Fig. 3 this utility model cerebrovascular system function and brain recirculation dynamic analytical tool is as follows: at first use Type B ultrasound detection module, detect the horizontal and vertical tomoscan image of carotid artery vascular, image information is carried out date processing, obtain the iconography data and the blood vessels caliber D of carotid artery vascular; Use continuous wave Doppler flow velocity waveforms detection module then, detect carotid flow velocity waveforms and numerical value: V (t),, calculate carotid artery flow amount waveform and numerical value: Q (t) again in conjunction with the blood vessels caliber data; Use the blood viscosity detection module, detect blood viscosity η,, calculate the shearing stress index of carotid artery vascular wall, then in conjunction with the iconography data output neck tremulous pulse atherosclerosis analysis report of carotid artery vascular again in conjunction with carotid artery flow amount waveform and numerical value; Use the physical stress detection module, detect carotid artery pressure waveform and numerical value: P (t),, carry out the brain recirculation dynamic analysis again in conjunction with carotid artery flow amount waveform and numerical value, thus output brain recirculation dynamic analysis report.
Claims (3)
1, a kind of cerebrovascular system function and brain recirculation dynamic analytical tool, comprise detection system, acquisition analysis system and data storage and output system, it is characterized in that, described detection system comprises a blood viscosity detection module that is used to detect patient's blood viscosity, the horizontal and vertical tomoscan image of a carotid artery vascular that is used to detect the patient and the Type B ultrasound detection module of blood vessels caliber, the physical stress detection module of a blood pressure waveform that is used to detect the patient and one are used to detect patient's the flow velocity waveforms of cranium arteria carotis externa and the continuous wave Doppler flow velocity waveforms detection module of numerical value; Described acquisition analysis system comprises computer, the analog signal conversion of detection system acquisition is become A/D card, image pick-up card, passive backplane and the analytical calculation software module of digital signal; Described A/D card, image pick-up card and computer motherboard are by the ISA slot parallel connection on the passive backplane.
2, cerebrovascular system function according to claim 1 and brain recirculation dynamic analytical tool, it is characterized in that, the analogue signal that continuous wave Doppler flow velocity waveforms detection module in the detection system and physical stress detection module are obtained is transformed into digital signal by the A/D card, the carotid artery image that Type B ultrasound detection module is detected is by image pick-up card and computer communication, and the blood viscosity detection module is by serial ports on the computer motherboard and computer communication.
3, cerebrovascular system function according to claim 1 and 2 and brain recirculation dynamic analytical tool is characterized in that, described analytical calculation software module adopts following steps, formula to calculate cerebrovascular system function and cerebral hemodynamic parameter:
(1) uses the viscosity number η that the blood viscosity detection module obtains blood samples of patients;
(2) use the horizontal and vertical tomoscan image that the B ultrasonic detection module obtains patient's carotid artery vascular, the application image processing method obtains carotid blood vessels caliber D of human body and indexs such as blood vessel wall media thickness and smooth degree;
(3) use continuous wave Doppler flow velocity waveforms detection module, detect carotid flow velocity waveforms and numerical value: V (t); In conjunction with the blood vessels caliber D that (2) are obtained, calculate carotid blood-flow waveform and numerical value: Q (t); And use mathematical method to obtain patient's cardiac cycle T, thereby calculate the fundamental frequency of pulsating flow
(4) according to the blood viscosity η that records, the fundamental frequency omega of blood vessels caliber D and pulsating flow calculates the Womersley number:
ρ is the normal value of density of blood;
Blood-flow waveform is carried out the Fourier progression form decomposes:
Calculate the waveform and the numerical value of blood vessel wall shearing stress according to the shearing stress computing formula:
J wherein
i(x) be the Bessel function on first kind i rank; M is the exponent number that Fourier decomposes;
(5) carotid wall shear stress waveform and numerical value are carried out date processing, obtain the maximum τ of the shearing stress in the cardiac cycle
Max, meansigma methods τ
Mean, minima τ
Min, and the asymptotic value τ in relaxing period latter stage
dEtc. index;
(6) use the physical stress detection module and detect the carotid pressure pulsation waveform of patient, and use patient's systolic pressure Ps and diastolic pressure Pd, pressure waveform is demarcated, thereby obtained carotid pressure waveform and numerical value P (t);
(7) obtain carotid artery flow amount waveform and numerical value Q (t) according to (3); And by date processing acquisition maximum stream flow Q
Max, average discharge Q
Mean, minimum discharge Q
Min
(8) calculate cerebrovascular characteristic impedance Zc, Peripheral resistance R, cerebral hemodynamic parameters such as dynamic resistance DR, critical pressure Cp;
To P (t), Q (t) carries out Fourier and decomposes:
According to formula
K=13 estimated performance impedance Z c;
According to formula
Calculate Peripheral resistance R;
According to formula
Calculate dynamic resistance DR;
According to formula Cp=P
d-DRQ
MinCalculate critical pressure Cp.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101889860A (en) * | 2010-07-19 | 2010-11-24 | 云南大学 | Device for detecting cerebral blood flow regulation function |
CN104883967A (en) * | 2012-11-08 | 2015-09-02 | 勒·泰 | Improved blood pressure monitor and method |
CN106651967A (en) * | 2016-10-18 | 2017-05-10 | 北京博瑞彤芸文化传播股份有限公司 | Blood viscosity monitoring method based on image processing |
CN110136826A (en) * | 2019-05-05 | 2019-08-16 | 安徽国科新材科技有限公司 | Intelligent medical assistant diagnosis system based on deep learning |
CN113506634A (en) * | 2021-07-15 | 2021-10-15 | 南京易爱医疗设备有限公司 | Brain simulation system |
CN116584977A (en) * | 2023-06-30 | 2023-08-15 | 南京澳思泰生物科技有限公司 | Computer-aided diagnosis system and method for analyzing cerebrovascular diseases |
-
2005
- 2005-01-10 CN CN 200520038825 patent/CN2764305Y/en not_active Expired - Fee Related
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101889860A (en) * | 2010-07-19 | 2010-11-24 | 云南大学 | Device for detecting cerebral blood flow regulation function |
CN104883967A (en) * | 2012-11-08 | 2015-09-02 | 勒·泰 | Improved blood pressure monitor and method |
CN106651967A (en) * | 2016-10-18 | 2017-05-10 | 北京博瑞彤芸文化传播股份有限公司 | Blood viscosity monitoring method based on image processing |
CN106651967B (en) * | 2016-10-18 | 2019-11-05 | 北京博瑞彤芸文化传播股份有限公司 | Blood viscosity monitoring method based on image procossing |
CN110136826A (en) * | 2019-05-05 | 2019-08-16 | 安徽国科新材科技有限公司 | Intelligent medical assistant diagnosis system based on deep learning |
CN113506634A (en) * | 2021-07-15 | 2021-10-15 | 南京易爱医疗设备有限公司 | Brain simulation system |
CN113506634B (en) * | 2021-07-15 | 2024-04-09 | 南京易爱医疗设备有限公司 | Brain Simulation System |
CN116584977A (en) * | 2023-06-30 | 2023-08-15 | 南京澳思泰生物科技有限公司 | Computer-aided diagnosis system and method for analyzing cerebrovascular diseases |
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