CN111631700A - System for regulating blood pressure according to optimal blood pressure target value - Google Patents

System for regulating blood pressure according to optimal blood pressure target value Download PDF

Info

Publication number
CN111631700A
CN111631700A CN202010448175.4A CN202010448175A CN111631700A CN 111631700 A CN111631700 A CN 111631700A CN 202010448175 A CN202010448175 A CN 202010448175A CN 111631700 A CN111631700 A CN 111631700A
Authority
CN
China
Prior art keywords
blood pressure
cerebral
blood flow
blood
target value
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.)
Granted
Application number
CN202010448175.4A
Other languages
Chinese (zh)
Other versions
CN111631700B (en
Inventor
张通
康雪艳
高庆春
陈俊龙
廖丽
曾宪凡
李学龙
周洁
黄如训
李现亮
傅贤
刘红英
周振威
方积乾
黄灿
洪华
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.)
South China University of Technology SCUT
Original Assignee
South China University of Technology SCUT
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 South China University of Technology SCUT filed Critical South China University of Technology SCUT
Priority to CN202010448175.4A priority Critical patent/CN111631700B/en
Publication of CN111631700A publication Critical patent/CN111631700A/en
Application granted granted Critical
Publication of CN111631700B publication Critical patent/CN111631700B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • A61B5/004Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • A61B5/0042Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the brain
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/037Emission tomography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50Clinical applications
    • A61B6/504Clinical applications involving diagnosis of blood vessels, e.g. by angiography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/06Measuring blood flow
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/488Diagnostic techniques involving Doppler signals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00Medical imaging apparatus involving image processing or analysis
    • A61B2576/02Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/026Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30016Brain
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30101Blood vessel; Artery; Vein; Vascular
    • G06T2207/30104Vascular flow; Blood flow; Perfusion

Abstract

The invention provides a system for regulating blood pressure according to an optimal blood pressure target value, which is characterized in that: the method comprises the following steps: the blood pressure adjusting and analyzing device comprises a signal acquisition module, a signal processing module and a blood pressure adjusting and analyzing module; the signal acquisition module comprises a cerebral blood flow parameter acquisition submodule, a blood pressure acquisition submodule and a cerebral perfusion acquisition submodule; the signal processing module comprises a blood flow and blood pressure signal processing submodule for analyzing the cerebral blood flow dynamics index and the blood pressure value to obtain a blood pressure target value range and a cerebral blood flow condition; the brain perfusion signal processing submodule analyzes the brain perfusion imaging dynamic image to obtain the brain perfusion condition; the blood pressure regulation and analysis module comprises a consistency analysis submodule for judging the consistency of the cerebral blood flow condition and the cerebral perfusion condition; and a blood pressure regulation analysis sub-module for generating a blood pressure regulation scheme. The system obtains the blood pressure target value range, and the blood pressure target value range is used as the blood pressure regulation standard, so that the accuracy of blood pressure regulation is improved.

Description

System for regulating blood pressure according to optimal blood pressure target value
Technical Field
The invention relates to the technical field of blood pressure regulation systems, in particular to a system for regulating blood pressure according to an optimal blood pressure target value.
Background
The blood pressure value of human body is closely related to the perfusion condition of brain tissue. When the blood pressure is normal, the blood supply to the brain is good, and when the blood pressure is abnormal, the brain tissue is over-perfused or under-perfused. In the conventional blood pressure measurement, direct measurement is often adopted, whether the blood pressure is normal or not is judged according to a blood pressure standard value specified by the international health organization (WHO), if the blood pressure is in a standard value interval of the blood pressure, no treatment is needed, and if the blood pressure is not in the standard value interval of the blood pressure, adjustment is carried out by using medicines or other methods.
The existing blood pressure regulation is usually to regulate blood pressure according to a unified blood pressure standard, and the method is simple and has a certain effect on all people; however, the actual brain perfusion pressure varies from individual to individual, at different pathological stages, and therefore, the regulation of blood pressure with a uniform standard is inaccurate.
Disclosure of Invention
To overcome the disadvantages and shortcomings of the prior art, it is an object of the present invention to provide a system for regulating blood pressure based on an optimal blood pressure target value; the system obtains the blood pressure target value range, and the blood pressure target value range is used as the blood pressure regulation standard to regulate the blood pressure accurately and individually, so that the accuracy of blood pressure regulation is improved.
In order to achieve the purpose, the invention is realized by the following technical scheme: a system for regulating blood pressure based on an optimal blood pressure target value, comprising: the method comprises the following steps:
a signal acquisition module; the brain perfusion imaging device comprises a brain blood flow parameter acquisition submodule for acquiring a brain blood flow dynamic index of a subject, a blood pressure acquisition submodule for acquiring a blood pressure value of the subject and a brain perfusion acquisition submodule for acquiring a brain perfusion imaging dynamic image of the subject;
a signal processing module; the blood flow and blood pressure signal processing submodule is used for analyzing the cerebral blood flow dynamics index obtained by the cerebral blood flow parameter acquisition submodule and the blood pressure value obtained by the blood pressure acquisition submodule to obtain a blood pressure target value range and a cerebral blood flow condition; analyzing the brain perfusion imaging dynamic image obtained by the brain perfusion acquisition submodule to obtain a brain perfusion signal processing submodule of the brain perfusion condition;
a blood pressure regulation analysis module; the consistency analysis submodule is used for judging the consistency of the cerebral blood flow condition and the cerebral perfusion condition and judging the effective consistency of the target range of the blood pressure when the cerebral blood flow condition is consistent with the cerebral perfusion condition; and a blood pressure regulation analysis submodule for comparing the effective blood pressure target value range with the real blood pressure value of the subject and generating a blood pressure regulation scheme.
Preferably, in the blood pressure acquisition sub-module, the acquired blood pressure values comprise systolic pressure and diastolic pressure; in the cerebral blood flow parameter acquisition submodule, the acquired cerebral blood flow dynamics index includes: peak flow rate, end diastolic flow rate, mean blood flow rate, and pulsatility index of the three bilateral cerebral middle cerebral artery MCA, anterior cerebral artery ACA, and anterior cerebral artery PCA of the subject.
Preferably, in the blood flow blood pressure signal processing submodule, the correlation coefficient R is calculated according to the blood pressure value and the cerebral hemodynamics indexxy(ii) a By a correlation coefficient RxyJudging whether the function of the cerebral blood flow autoregulation CA is damaged or not; and determining the blood pressure target value range through the numerical change of the correlation coefficient.
Preferably, in the blood flow blood pressure signal processing submodule, the correlation coefficient RxyThe calculation formula is as follows:
Figure BDA0002506718590000021
wherein, X is mean arterial pressure; y is the mean blood flow velocity Vm;
mean arterial pressure X ═ systolic pressure +2 × diastolic pressure)/3.
Preferably, the judging whether the function of the cerebral blood flow autoregulation CA is impaired or not by the correlation coefficient is: if the correlation coefficient RxyIf the blood flow rate of the cerebral blood flow CBFV is less than or equal to 0, the cerebral blood flow rate CBFV and the cerebral perfusion pressure CPP are irrelevant or negatively correlated, and the function of the cerebral blood flow autoregulation CA is not damaged; if the correlation coefficient RxyIf the blood flow rate is more than 0, the positive correlation between the cerebral blood flow velocity CBFV and the cerebral perfusion pressure CPP is judged, and the function of the cerebral blood flow autoregulation CA is damaged;
by a correlation coefficient RxyThe mean arterial pressure range at 0 is used as the blood pressure target value range.
Preferably, in the blood flow blood pressure signal processing submodule, the cerebral blood flow condition is obtained by processing the cerebral blood flow dynamics index obtained by the cerebral blood flow parameter acquisition submodule; parameters of cerebral blood flow conditions include cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT and time to peak of bilateral brains.
Preferably, in the brain perfusion signal processing submodule, the skull contour is removed from the brain perfusion imaging dynamic image, and the cerebrospinal fluid influence is removed; analyzing and calculating all brain perfusion imaging dynamic images to obtain brain perfusion conditions; parameters of brain perfusion conditions include cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT and time to peak of bilateral brains.
Preferably, in the blood pressure regulation and analysis module, the cerebral blood volume CBV, the cerebral blood flow CBF, the mean transit time MTT and the peak reaching time of the bilateral brain of the cerebral blood flow condition and the cerebral perfusion condition are compared to judge the consistency of the cerebral blood flow condition and the cerebral perfusion condition.
Preferably, in the blood pressure regulation analysis sub-module, when the real blood pressure value of the subject is higher than the effective blood pressure target value range, a blood pressure regulation scheme for reducing blood pressure is generated; when the real blood pressure value of the subject is lower than the effective blood pressure target value range, generating a blood pressure regulation scheme for increasing the blood pressure; when the real blood pressure value of the subject is within the effective blood pressure target value range, a blood pressure regulation scheme without intervention on blood pressure is generated.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the system provided by the invention integrates a signal acquisition module, a signal processing module and a blood pressure regulation and analysis module; the blood pressure target value range is obtained by analyzing the correlation of blood pressure and blood flow, the cerebral blood flow condition and the cerebral perfusion condition are evaluated by adopting the cerebral blood flow dynamics index and the cerebral perfusion imaging so as to evaluate whether the blood pressure target value range is accurate or not, the blood pressure is accurately and individually regulated according to the blood pressure target value range, and the accuracy of blood pressure regulation is improved;
2. the invention uses cerebral perfusion to evaluate whether the obtained blood pressure target value range is accurate or not, so that the reliability of the obtained blood pressure target value range is higher, and the accuracy of the blood pressure target value range can be reflected better.
Drawings
FIG. 1 is a block diagram of a system for regulating blood pressure based on an optimal blood pressure target value according to the present invention;
FIG. 2 is a schematic diagram of a cerebral blood flow parameter acquisition submodule and a blood pressure acquisition submodule according to the present invention;
FIG. 3 is a schematic diagram of the blood flow blood pressure signal processing sub-module of the present invention;
fig. 4 is a schematic diagram of the brain perfusion signal processing sub-module of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Examples
As shown in fig. 1 to 4, the system for adjusting blood pressure according to an optimal blood pressure target value of the present embodiment includes:
a signal acquisition module; the brain perfusion imaging device comprises a brain blood flow parameter acquisition submodule for acquiring a brain blood flow dynamic index of a subject, a blood pressure acquisition submodule for acquiring a blood pressure value of the subject and a brain perfusion acquisition submodule for acquiring a brain perfusion imaging dynamic image of the subject;
a signal processing module; the blood flow and blood pressure signal processing submodule is used for analyzing the cerebral blood flow dynamics index obtained by the cerebral blood flow parameter acquisition submodule and the blood pressure value obtained by the blood pressure acquisition submodule to obtain a blood pressure target value range and a cerebral blood flow condition; analyzing the brain perfusion imaging dynamic image obtained by the brain perfusion acquisition submodule to obtain a brain perfusion signal processing submodule of the brain perfusion condition;
a blood pressure regulation analysis module; the consistency analysis submodule is used for judging the consistency of the cerebral blood flow condition and the cerebral perfusion condition and judging the effective consistency of the target range of the blood pressure when the cerebral blood flow condition is consistent with the cerebral perfusion condition; and a blood pressure regulation analysis submodule for comparing the effective blood pressure target value range with the real blood pressure value of the subject and generating a blood pressure regulation scheme.
The system provided by the invention integrates a signal acquisition module, a signal processing module and a blood pressure regulation and analysis module; obtaining a blood pressure target value range by analyzing the correlation of blood pressure and blood flow, and evaluating the cerebral blood flow condition and the cerebral perfusion condition by adopting a cerebral blood flow dynamics index and cerebral perfusion imaging so as to evaluate whether the blood pressure target value range is accurate or not; if the results of the cerebral blood flow condition and the cerebral perfusion condition are highly consistent, the measured blood pressure target value range is determined to be reliable, and the measuring method is accurate. And then obtaining a drug regulation blood pressure scheme according to the matching condition of the real blood pressure value and the blood pressure target value range.
Specifically, the blood pressure collecting submodule and the cerebral blood flow parameter collecting submodule are used for collecting the blood pressure data and the cerebral blood flow parameter data in a way that a test subject is forbidden to drink wine, coffee and strong tea on the day before and on the day of test, the test subject should select an air-conditioned environment after 2 hours, the environmental temperature is controlled to be about 23 ℃, and the clinical data of the test subject are recorded, wherein the collection method comprises the following steps: gender, age, history of hypertension, history of diabetes, history of arrhythmia, history of smoking, etc.
The subject takes a sitting position and rested for 10 minutes before starting the measurement. The central arterial pressure measuring instrument is used for automatically measuring continuous blood pressure to obtain systolic pressure and diastolic pressure. Thereafter, the subject takes a lying position, a transcranial doppler (TCD) instrument is used for acquiring cerebral hemodynamic indexes, the bilateral middle cerebral artery MCA, the bilateral anterior cerebral artery ACA and the bilateral posterior cerebral artery PCA are respectively detected through the bilateral temporal window by a 2.0 megahertz pulse probe, the detection position, the detection angle and the detection depth are relatively fixed, and the peak flow velocity, the diastolic end flow velocity, the average blood flow velocity and the blood vessel pulsation index of the bilateral middle cerebral artery MCA, the bilateral anterior cerebral artery ACA and the bilateral posterior cerebral artery PCA are detected; recording the systolic peak blood flow velocity and the frequency spectrum form of the middle cerebral artery on two sides; the TCD spectrum for all images was included in the calculation.
The brain perfusion acquisition submodule has the acquisition mode that: the SIEMENS 128-row spiral CT is adopted, the tube voltage is 120kV, the tube current is 280mAs, the thickness of a reconstruction layer is 12mm, the matrix is 512 multiplied by 512, the total scanning time is 50s, and the total number of images is 100. The cerebral perfusion condition can accurately reflect the blood pressure change condition, and the current common examination means for evaluating the cerebral perfusion is CT perfusion imaging. The CT perfusion imaging means that a time intensity curve (TDC) is obtained by continuously scanning an interested region layer when a contrast agent is rapidly injected into a vein, perfusion parameters such as cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT, time to peak TTP and the like are calculated by using different mathematical models according to the curve, and image reconstruction and pseudo-color staining are carried out on the parameters to obtain a blood perfusion picture, a blood volume picture and the like so as to evaluate the perfusion state of brain tissues and reflect the microscopic change of the brain.
In the blood flow blood pressure signal processing submodule, a correlation coefficient R is calculated according to the blood pressure value and the cerebral hemodynamics indexxy(ii) a By a correlation coefficient RxyJudging whether the function of the cerebral blood flow autoregulation CA is damaged or not; and determining the blood pressure target value range through the numerical change of the correlation coefficient.
In the blood flow blood pressure signal processing submodule, the correlation coefficient RxyThe calculation formula is as follows:
Figure BDA0002506718590000051
wherein, X is mean arterial pressure; y is the mean blood flow velocity Vm;
mean arterial pressure X ═ systolic pressure +2 × diastolic pressure)/3.
Judging whether the function of the cerebral blood flow autoregulation CA is damaged or not through the correlation coefficient, which means that: if the correlation coefficient RxyIf the blood flow rate of the cerebral blood flow CBFV is less than or equal to 0, the cerebral blood flow rate CBFV and the cerebral perfusion pressure CPP are irrelevant or negatively correlated, and the function of the cerebral blood flow autoregulation CA is not damaged; if the correlation coefficient RxyIf the blood flow rate is more than 0, the positive correlation between the cerebral blood flow velocity CBFV and the cerebral perfusion pressure CPP is judged, and the function of the cerebral blood flow autoregulation CA is damaged;
by a correlation coefficient RxyThe mean arterial pressure range at 0 is used as the blood pressure target value range.
In the blood flow blood pressure signal processing submodule, the cerebral blood flow dynamics index obtained by the cerebral blood flow parameter acquisition submodule is processed, and the cerebral blood flow condition is obtained by analyzing the peak flow rate, the end diastolic flow rate, the average blood flow rate and the blood vessel pulsation index of the middle cerebral artery MCA, the anterior cerebral artery ACA and the posterior cerebral artery PCA at the two sides and observing the spectrum form; parameters of cerebral blood flow conditions include cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT and time to peak of bilateral brains.
In the brain perfusion signal processing submodule, the brain perfusion imaging dynamic image is processed by utilizing Nuro CTP software, the skull outline is removed from the brain perfusion imaging dynamic image, and the influence of cerebrospinal fluid is eliminated; analyzing and calculating all brain perfusion imaging dynamic images to obtain brain perfusion conditions; parameters of cerebral perfusion conditions include cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT and time to peak of bilateral brains; the image is displayed in color to enhance contrast with the diseased region. In this embodiment, the brain perfusion condition is obtained using CT perfusion imaging; in addition, the imaging can also be obtained by using equipment such as magnetic resonance perfusion imaging, Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT) and the like.
In the blood pressure regulation and analysis module, the cerebral blood volume CBV, the cerebral blood flow CBF, the average passing time MTT and the peak reaching time of the bilateral brains of the cerebral blood flow condition and the cerebral perfusion condition are compared, so that the consistency judgment of the cerebral blood flow condition and the cerebral perfusion condition is carried out. And analyzing the cerebral blood flow condition by using the cerebral perfusion condition as a contrast, and if the results of the cerebral blood flow condition and the cerebral blood flow condition are consistent, the measured target value range of the blood pressure is reliable, and the measuring method is accurate.
In the blood pressure regulation analysis sub-module, when the real blood pressure value of the subject is higher than the effective blood pressure target value range, a blood pressure regulation scheme for lowering blood pressure in a medicine or other modes is generated; when the real blood pressure value of the subject is lower than the effective blood pressure target value range, generating a blood pressure regulation scheme for increasing the blood pressure in a medicament or other modes; when the real blood pressure value of the subject is within the effective blood pressure target value range, a blood pressure regulation scheme without intervention on blood pressure is generated.
The system provided by the invention integrates a signal acquisition module, a signal processing module and a blood pressure regulation and analysis module; the blood pressure target value is obtained by analyzing the correlation of blood pressure and blood flow, the cerebral blood flow condition and the cerebral perfusion condition are evaluated by adopting the cerebral blood flow dynamics index and the cerebral perfusion imaging so as to evaluate whether the blood pressure target value is accurate or not, the blood pressure is accurately and individually regulated according to the blood pressure target value range, and the blood pressure regulation accuracy is improved; the invention uses cerebral perfusion to evaluate whether the obtained blood pressure target value range is accurate or not, so that the reliability of the obtained blood pressure target value range is higher, and the accuracy of the blood pressure target value range can be reflected better.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (9)

1. A system for regulating blood pressure based on an optimal blood pressure target value, comprising: the method comprises the following steps:
a signal acquisition module; the brain perfusion imaging device comprises a brain blood flow parameter acquisition submodule for acquiring a brain blood flow dynamic index of a subject, a blood pressure acquisition submodule for acquiring a blood pressure value of the subject and a brain perfusion acquisition submodule for acquiring a brain perfusion imaging dynamic image of the subject;
a signal processing module; the blood flow and blood pressure signal processing submodule is used for analyzing the cerebral blood flow dynamics index obtained by the cerebral blood flow parameter acquisition submodule and the blood pressure value obtained by the blood pressure acquisition submodule to obtain a blood pressure target value range and a cerebral blood flow condition; analyzing the brain perfusion imaging dynamic image obtained by the brain perfusion acquisition submodule to obtain a brain perfusion signal processing submodule of the brain perfusion condition;
a blood pressure regulation analysis module; the consistency analysis submodule is used for judging the consistency of the cerebral blood flow condition and the cerebral perfusion condition and judging the effective consistency of the target range of the blood pressure when the cerebral blood flow condition is consistent with the cerebral perfusion condition; and a blood pressure regulation analysis submodule for comparing the effective blood pressure target value range with the real blood pressure value of the subject and generating a blood pressure regulation scheme.
2. The system for regulating blood pressure according to an optimal blood pressure target value of claim 1, wherein: in the blood pressure acquisition submodule, the acquired blood pressure value comprises systolic pressure and diastolic pressure; in the cerebral blood flow parameter acquisition submodule, the acquired cerebral blood flow dynamics index includes: peak flow rate, end diastolic flow rate, mean blood flow rate, and pulsatility index of the three bilateral cerebral middle cerebral artery MCA, anterior cerebral artery ACA, and anterior cerebral artery PCA of the subject.
3. The system for regulating blood pressure according to an optimal blood pressure target value of claim 2, wherein: in the blood flow blood pressure signal processing submodule, a correlation coefficient R is calculated according to the blood pressure value and the cerebral hemodynamics indexxy(ii) a By a correlation coefficient RxyJudging whether the function of the cerebral blood flow autoregulation CA is damaged or not; and determining the blood pressure target value range through the numerical change of the correlation coefficient.
4. The system for regulating blood pressure according to an optimal blood pressure target value of claim 3, wherein: in the blood flow blood pressure signal processing submodule, the correlation coefficient RxyThe calculation formula is as follows:
Figure FDA0002506718580000011
wherein, X is mean arterial pressure; y is the mean blood flow velocity Vm;
mean arterial pressure X ═ systolic pressure +2 × diastolic pressure)/3.
5. The system for regulating blood pressure according to an optimal blood pressure target value of claim 4, wherein: judging whether the function of the cerebral blood flow autoregulation CA is damaged or not through the correlation coefficient, which means that: if the correlation coefficient RxyIf the blood flow rate of the cerebral blood flow CBFV is less than or equal to 0, the cerebral blood flow rate CBFV and the cerebral perfusion pressure CPP are judged to be irrelevant or negatively correlated, and the cerebral blood flow is automatically adjustedCA function is not impaired; if the correlation coefficient RxyIf the blood flow rate is more than 0, the positive correlation between the cerebral blood flow velocity CBFV and the cerebral perfusion pressure CPP is judged, and the function of the cerebral blood flow autoregulation CA is damaged;
by a correlation coefficient RxyThe mean arterial pressure range at 0 is used as the blood pressure target value range.
6. The system for regulating blood pressure according to an optimal blood pressure target value of claim 2, wherein: in the blood flow blood pressure signal processing submodule, the cerebral blood flow dynamics index obtained by the cerebral blood flow parameter acquisition submodule is processed to obtain the cerebral blood flow condition; parameters of cerebral blood flow conditions include cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT and time to peak of bilateral brains.
7. The system for regulating blood pressure according to an optimal blood pressure target value of claim 6, wherein: in the brain perfusion signal processing submodule, removing skull outlines and eliminating cerebrospinal fluid influence on the brain perfusion imaging dynamic image; analyzing and calculating all brain perfusion imaging dynamic images to obtain brain perfusion conditions; parameters of brain perfusion conditions include cerebral blood volume CBV, cerebral blood flow CBF, mean transit time MTT and time to peak of bilateral brains.
8. The system for regulating blood pressure according to an optimal blood pressure target value of claim 7, wherein: in the blood pressure regulation and analysis module, the cerebral blood volume CBV, the cerebral blood flow CBF, the average passing time MTT and the peak reaching time of the bilateral brains of the cerebral blood flow condition and the cerebral perfusion condition are compared, so that the consistency judgment of the cerebral blood flow condition and the cerebral perfusion condition is carried out.
9. The system for regulating blood pressure based on an optimal blood pressure target value of claim 8, wherein: in the blood pressure regulation analysis sub-module, when the real blood pressure value of the subject is higher than the effective blood pressure target value range, a blood pressure regulation scheme for reducing blood pressure is generated; when the real blood pressure value of the subject is lower than the effective blood pressure target value range, generating a blood pressure regulation scheme for increasing the blood pressure; when the real blood pressure value of the subject is within the effective blood pressure target value range, a blood pressure regulation scheme without intervention on blood pressure is generated.
CN202010448175.4A 2020-05-25 2020-05-25 System for regulating blood pressure according to optimal blood pressure target value Active CN111631700B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010448175.4A CN111631700B (en) 2020-05-25 2020-05-25 System for regulating blood pressure according to optimal blood pressure target value

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010448175.4A CN111631700B (en) 2020-05-25 2020-05-25 System for regulating blood pressure according to optimal blood pressure target value

Publications (2)

Publication Number Publication Date
CN111631700A true CN111631700A (en) 2020-09-08
CN111631700B CN111631700B (en) 2021-08-10

Family

ID=72323810

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010448175.4A Active CN111631700B (en) 2020-05-25 2020-05-25 System for regulating blood pressure according to optimal blood pressure target value

Country Status (1)

Country Link
CN (1) CN111631700B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115040100A (en) * 2022-06-14 2022-09-13 安影科技(北京)有限公司 Method for rapidly acquiring optic nerve blood flow perfusion value

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001070303A2 (en) * 2000-03-23 2001-09-27 Tensys Medical, Inc. Method and apparatus for assessing hemodynamic parameters and blood vessel location within the circulatory system of a living subject
WO2003034916A2 (en) * 2001-08-17 2003-05-01 Russell Ted W Methods, apparatus and sensor for hemodynamic monitoring
US20110105912A1 (en) * 2009-11-05 2011-05-05 Widman Ronald A Cerebral autoregulation indices
CN103549949A (en) * 2013-10-21 2014-02-05 华南理工大学 Myocardial ischemia auxiliary detecting method based on deterministic learning theory
CN103830783A (en) * 2014-03-10 2014-06-04 北京工业大学 Extracorporeal circulation perfusion policy making system
EP2814382A1 (en) * 2012-02-13 2014-12-24 Ottevanger, Egbert Jan Constant Method and system for detecting cardiac tamponade in a patient
US20150094755A1 (en) * 2012-04-27 2015-04-02 Ajou University Industry-Academic Cooperation Foundation Non-invasive cerebral perfusion increasing device
US20150201849A1 (en) * 2010-08-12 2015-07-23 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
US20160000568A1 (en) * 2005-07-29 2016-01-07 Cvdevices, Llc Devices and methods for controlling blood perfusion pressure
CN105678762A (en) * 2016-01-06 2016-06-15 四川大学 System for monitoring treatment of ischemic cerebrovascular disorder on the basis of image information
CN106175834A (en) * 2016-07-01 2016-12-07 扬州市明星医塑器材有限公司 Portable multi-function brain recirculation dynamic monitoring analyzer
US20190008462A1 (en) * 2014-09-09 2019-01-10 Heartflow, Inc. Method and system for quantifying limitations in coronary artery blood flow during physical activity in patients with coronary artery disease
CN110313890A (en) * 2018-03-29 2019-10-11 埃米多斯系统有限公司 Device and method for determining retina pressure value and for image retina pressure value and perfusion pressure value
CN110448287A (en) * 2018-05-07 2019-11-15 香港中文大学 Device and method for the measurement of Noninvasive capillary pressure

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001070303A2 (en) * 2000-03-23 2001-09-27 Tensys Medical, Inc. Method and apparatus for assessing hemodynamic parameters and blood vessel location within the circulatory system of a living subject
WO2003034916A2 (en) * 2001-08-17 2003-05-01 Russell Ted W Methods, apparatus and sensor for hemodynamic monitoring
US20160000568A1 (en) * 2005-07-29 2016-01-07 Cvdevices, Llc Devices and methods for controlling blood perfusion pressure
US20110105912A1 (en) * 2009-11-05 2011-05-05 Widman Ronald A Cerebral autoregulation indices
US20150201849A1 (en) * 2010-08-12 2015-07-23 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
EP2814382A1 (en) * 2012-02-13 2014-12-24 Ottevanger, Egbert Jan Constant Method and system for detecting cardiac tamponade in a patient
US20150094755A1 (en) * 2012-04-27 2015-04-02 Ajou University Industry-Academic Cooperation Foundation Non-invasive cerebral perfusion increasing device
CN103549949A (en) * 2013-10-21 2014-02-05 华南理工大学 Myocardial ischemia auxiliary detecting method based on deterministic learning theory
CN103830783A (en) * 2014-03-10 2014-06-04 北京工业大学 Extracorporeal circulation perfusion policy making system
US20190008462A1 (en) * 2014-09-09 2019-01-10 Heartflow, Inc. Method and system for quantifying limitations in coronary artery blood flow during physical activity in patients with coronary artery disease
CN105678762A (en) * 2016-01-06 2016-06-15 四川大学 System for monitoring treatment of ischemic cerebrovascular disorder on the basis of image information
CN106175834A (en) * 2016-07-01 2016-12-07 扬州市明星医塑器材有限公司 Portable multi-function brain recirculation dynamic monitoring analyzer
CN110313890A (en) * 2018-03-29 2019-10-11 埃米多斯系统有限公司 Device and method for determining retina pressure value and for image retina pressure value and perfusion pressure value
CN110448287A (en) * 2018-05-07 2019-11-15 香港中文大学 Device and method for the measurement of Noninvasive capillary pressure

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
HUANG, FENG; RUAN, XIAODONG; FU, XIN: "Pulse-Pressure-Enhancing Controller for Better Physiologic Perfusion of Rotary Blood Pumps Based on Speed Modulation", 《ASAIO JOURNAL》 *
WANG, XIAOLEI; CHEN, JUNYI; KONG, XIANGMEI; 等.: "Immediate Changes in Peripapillary Retinal Vasculature after Intraocular Pressure Elevation -an Optical Coherence Tomography Angiography Study", 《CURRENT EYE RESEARCH》 *
WOLLBORN, JAKOB; RUETTEN, EVA; SCHLUETER, BJOERN; 等.: "Standardized model of porcine resuscitation using a custom-made resuscitation board results in optimalhemodynamic management", 《AMERICAN JOURNAL OF EMERGENCY MEDICINE》 *
张国栋 等: "动态CT脑灌注影像后处理算法", 《工程图学学报》 *
贾美岩: "缺血性脑卒中的脑血流调节研究进展", 《中风与神经疾病杂志》 *
郑跃英: "连续无创脑血流自动调节监测在成人围手术期的应用研究", 《中国博士学位论文全文数据库医药卫生科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115040100A (en) * 2022-06-14 2022-09-13 安影科技(北京)有限公司 Method for rapidly acquiring optic nerve blood flow perfusion value
CN115040100B (en) * 2022-06-14 2023-10-27 安影科技(北京)有限公司 Rapid acquisition method for optic nerve blood flow perfusion numerical value

Also Published As

Publication number Publication date
CN111631700B (en) 2021-08-10

Similar Documents

Publication Publication Date Title
US9005126B2 (en) Ultrasonic tissue displacement/strain imaging of brain function
Hundley et al. Quantitation of cardiac output with velocity-encoded, phase-difference magnetic resonance imaging
US8647278B2 (en) Method and system for non-invasive intracranial pressure monitoring
CA2123536C (en) Ultrasonic blood volume flow rate meter
AU2002251604B2 (en) Device, method and system for monitoring pressure in body cavities
US9167970B2 (en) Non-invasive optical imaging for measuring pulse and arterial elasticity in the brain
Rosengarten et al. Comparison of visually evoked peak systolic and end diastolic blood flow velocity using a control system approach
US10912470B2 (en) System and method for tracking cerebral blood flow in fMRI
Zamboni Why current Doppler ultrasound methodology is inaccurate in assessing cerebral venous return: the alternative of the ultrasonic jugular venous pulse
Landa et al. Initial report of quantification of retinal blood flow velocity in normal human subjects using the Retinal Functional Imager (RFI)
Sisini et al. Clinical applicability of assessment of jugular flow over the individual cardiac cycle compared with current ultrasound methodology
CN113288092B (en) Blood pressure detection method and terminal for extracting pulse wave based on video
CN104688269B (en) The respiration motion compensation of a kind of time-activity curve and the method for bimodal matching
CN114287954A (en) Functional assessment method, system, electronic device and medium for intracranial vascular stenosis
Johnson et al. Detecting aortic valve-induced abnormal flow with seismocardiography and cardiac MRI
CN110236544B (en) Stroke perfusion imaging lesion area detection system and method based on correlation coefficient
Tabassum et al. Clinical translation of noninvasive intracranial pressure sensing with diffuse correlation spectroscopy
CN111631700B (en) System for regulating blood pressure according to optimal blood pressure target value
KR102035731B1 (en) Method and apparatus for measuring pain depth using photoplethysmograph
Hennersperger et al. Vascular 3D+ T freehand ultrasound using correlation of doppler and pulse-oximetry data
Schebesch et al. Normal values of volume flow in the internal carotid artery measured by a new angle-independant Doppler technique for evaluating cerebral perfusion
CN113288102B (en) System for monitoring cerebral blood flow without wound
KR101002079B1 (en) Method of measuring blood vessel by blood vessel measurement apparatus
CN117197096B (en) Blood vessel function assessment method and system based on blood vessel image
CN114869335B (en) Method and equipment for measuring local blood flow index

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant