CN106780477A - A kind of blood flow analysis method and system - Google Patents
A kind of blood flow analysis method and system Download PDFInfo
- Publication number
- CN106780477A CN106780477A CN201611254342.1A CN201611254342A CN106780477A CN 106780477 A CN106780477 A CN 106780477A CN 201611254342 A CN201611254342 A CN 201611254342A CN 106780477 A CN106780477 A CN 106780477A
- Authority
- CN
- China
- Prior art keywords
- blood flow
- flow analysis
- vascular pattern
- blood
- analysis model
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
- G06T2207/30104—Vascular flow; Blood flow; Perfusion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/41—Medical
Abstract
The embodiment of the invention discloses a kind of blood flow analysis method and system, it is related to the technical field of medical fluid mechanics and medical image.The method includes:Obtain the 3 d medical images comprising blood vessel;Vascular pattern is set up according to the 3 d medical images;Vascular pattern described in rasterizing, and set the borderline region of the vascular pattern;Blood flow analysis model and the blood flow analysis model parameter with the blood flow analysis model interaction that acquisition prestores;Obtain the boundary condition of the borderline region;Based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition, blood flow analysis result is calculated.Blood flow analysis method and system provided in an embodiment of the present invention, realizes the direct assessment to blood vessel parameter, at the same solve user (doctor) the opertions engineering model of the direct assessment of blood vessel parameter is unfamiliar with, caused by poor user experience problem.
Description
Technical field
The present embodiments relate to the technical field of medical image, more particularly to a kind of blood flow analysis method and system.
Background technology
Currently, blood vessel kind disease is more and more, for example, vascular wall loses elasticity, lumen of vessels is narrow and thrombus etc..Existing skill
In art, can detect and invade that the method for detecting is monitored to vascular diseases by non-intruding.Wherein, non-intruding detection can be with
Biomarker evaluation, flat board test including electrocardiogram, based on blood testing, ultrasonic cardiography, computerized tomography
And positron emission tomography;Invading detection can be including diagnostic cardiac catheterization etc..
Inventor realize it is of the invention during find prior art defect be:Above-mentioned method of testing is not carried generally
Directly assessed for the VPV to blood vessel, blood pressure, blood vessel wall stress and blood flow reserve coefficient.
The content of the invention
The embodiment of the present invention provides a kind of blood flow analysis method and system, to realize directly assessing blood vessel parameter,
So as to aid in doctor accurately to analyze patient vessel's disease, while solving user (doctor) to the direct assessment of blood vessel parameter
Opertions engineering model (such as vessels analysis model and vessels analysis model parameter) be unfamiliar with, caused by poor user experience
Problem.
In a first aspect, the embodiment of the invention provides a kind of blood flow analysis method, the method includes:
Obtain the 3 d medical images comprising blood vessel;
Vascular pattern is set up according to the 3 d medical images;
Vascular pattern described in rasterizing, and set the borderline region of the vascular pattern;
Blood flow analysis model and the blood flow analysis model parameter with the blood flow analysis model interaction that acquisition prestores;
Obtain the boundary condition of the borderline region;
Based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition,
It is calculated blood flow analysis result.
Further, the blood flow analysis model carries out the division of species according to following any one:Medical image is swept
Retouch the personal feature or lesion type to be analyzed of object.
Further, it is characterised in that the blood flow analysis model includes:Blood Viscosity Model, blood flow computation model and stream
At least one in fast boundary model.
Further, setting up vascular pattern according to the 3 d medical images includes:
Vasculature part to be analyzed is gone out according to the Three Dimensional Medical Visualization, and sets up vascular pattern.
Further, the boundary condition for obtaining the borderline region includes:
Based on the boundary condition storehouse of the blood flow analysis model interaction, the boundary condition of the correspondence borderline region is obtained,
Or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is specific
Parameter values or number range.
Further, based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and described
Boundary condition, being calculated blood flow analysis result includes:
According to the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition,
Haemodynamics solution is carried out to the vascular pattern;
The blood flow analysis result that the haemodynamics is solved is shown, wherein, the blood flow analysis result includes
Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient and/or self-defined field.
Further, the borderline region includes:In blood vessel entry zone, blood vessel exit region and vascular wall area extremely
Few one kind.
Second aspect, the embodiment of the present invention additionally provides a kind of blood flow analysis system, and the system includes:
Data insmod, for determining to include blood using computed tomography or magnetic resonance angiography
The medical image of pipe radiography, and the 3 d medical images of blood vessel are set up according to the medical image;
Vascular pattern extraction module, for extracting the corresponding blood of vasculature part to be analyzed according to the 3 d medical images
Tube model;
Rasterizing module, for vascular pattern described in rasterizing, and sets the borderline region of the vascular pattern;
Computation model and parameter setting module, for obtain the blood flow analysis model that prestores and with the blood flow analysis model
The blood flow analysis model parameter of association;
Boundary condition setting module, for the boundary condition storehouse based on the blood flow analysis model interaction, obtains correspondence institute
The boundary condition of borderline region is stated, or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is specific
Parameter values or number range;
Hydrodynamics method module, for according to the vascular pattern, the blood flow analysis model, the blood flow analysis mould
Shape parameter and the boundary condition, haemodynamics solution is carried out to the vascular pattern;
Result display module, for being shown to the blood flow analysis result that the haemodynamics is solved, wherein, it is described
Blood flow analysis result include Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress field, blood flow reserve coefficient and/
Or self-defined field.
Further, the vascular pattern extraction module includes:
Automatic cutting unit, if being common vasculature part for vasculature part to be analyzed, using default automatic point
Algorithm is cut to split the vascular pattern automatically;
Semi-automatic segmentation unit, if for the not common vasculature part of vasculature part to be analyzed, obtaining user to institute
The editor of vasculature part is stated, and the vascular pattern is split according to edited result.
Further, the rasterizing module includes:
Automatic meshing unit, for according to default rasterizing parameter to the vascular pattern rasterizing, and according to right
The borderline region of the predefined determination vascular pattern in vessel borders region;
User's adjustable unit, for obtaining the rasterizing parameter of user input and the editor to vessel borders region, and
According to the rasterizing parameter and edited result, rasterizing result and vessel borders region to the vascular pattern are adjusted
It is whole.
The embodiment of the present invention sets up vascular pattern by according to the 3 d medical images of blood vessel, and according to the blood vessel mould
The border of blood flow analysis model, the corresponding blood flow analysis model parameter of blood flow analysis model and vascular pattern that type, acquisition prestore
The boundary condition in region is calculated the blood flow parameter of blood vessel, so as to realize to the Direct Analysis of the blood flow parameter of blood vessel and comment
Estimate, while the blood flow analysis model prestored by acquisition and corresponding blood flow analysis model parameter, solve user (doctor) to blood
The opertions engineering model (such as vessels analysis model and vessels analysis model parameter) that pipe parameter is directly assessed is unfamiliar with, and leads
The problem of the poor user experience of cause.
Brief description of the drawings
Fig. 1 is a kind of flow chart of blood flow analysis method that the embodiment of the present invention one is provided;
Fig. 2 a are the offers of the embodiment of the present invention one comprising cardiovascular medical image;
Fig. 2 b are the 3 d medical images schematic diagrames of the heart that the embodiment of the present invention one is provided and peripheral vessels;
Fig. 3 a are a kind of vascular pattern schematic diagrames that the embodiment of the present invention one is provided;
Fig. 3 b are another vascular patterns that the embodiment of the present invention one is provided;
Fig. 4 is a kind of partial schematic diagram of the rasterizing result of vascular pattern that the embodiment of the present invention one is provided;
Fig. 5 is a kind of flow chart of blood flow analysis method that the embodiment of the present invention two is provided;
Fig. 6 is the flow chart of another blood flow analysis method that the embodiment of the present invention two is provided;
Fig. 7 is a kind of flow chart of blood flow analysis method that the embodiment of the present invention three is provided;
Fig. 8 a are the CT enhancing images of the coronary artery longitudinal section that the embodiment of the present invention three is provided;
Fig. 8 b are the CT enhancing images of the coronary artery cross section that the embodiment of the present invention three is provided;
Fig. 8 c are the CT enhancing images of a certain angle of coronary artery that the embodiment of the present invention three is provided;
Fig. 9 is a kind of vascular pattern that the embodiment of the present invention three is provided;
Figure 10 is a kind of center line of vascular pattern that the embodiment of the present invention three is provided;
Figure 11 is a kind of rasterizing result partial schematic diagram of vascular pattern that the embodiment of the present invention three is provided;
Figure 12 a are the graphs of a relation of the corresponding blood flow of different time;
Figure 12 b are the graphs of a relation of the corresponding blood pressure of different time;
Figure 13 a are that the result of the pressure field of coronary artery is shown;
Figure 13 b are that the result of the blood flow of coronary artery is shown;
Figure 13 c are that the result of the blood flow reserve coefficient distribution of coronary artery is shown;
Figure 14 is a kind of structural representation of blood flow analysis system that the embodiment of the present invention four is provided;
Figure 15 is the structural representation of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part rather than entire infrastructure related to the present invention is illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 is a kind of flow chart of blood flow analysis method that the embodiment of the present invention one is provided.The present embodiment is applicable to right
The situation that the Hemodynamics of blood vessel are analyzed and assess.The method can be by a kind of blood flow analysis device or one
Plant blood flow analysis system to perform, the device or system can be realized by the mode of software and/or hardware.Typically, the device
Or during system can be only fitted to CT equipment or magnetic resonance equipment.Referring to Fig. 1, the blood flow analysis method that the present embodiment is provided includes:
The 3 d medical images of S110, acquisition comprising blood vessel.
Wherein, the blood vessel can be any vessels for including being susceptible to vascular diseases, specifically, the blood vessel can be with
It is cardiovascular and cerebrovascular or the blood vessel at other positions, such as neck arteries, head artery, Thoracic arteries, abdominal artery, brachial artery or leg
Artery etc..The acquisition modes of medical image can be obtained by non-intruding mode, for example computer tomography, magnetic resonance
Imaging technique, Digital Subtraction angiography technology or ultrasonic technology;Can also be obtained by the mode of infection, such as endoscope into
Picture, capsule imaging etc., typically, the medical image can be the enhancing image of blood vessel.Fig. 2 a are the offers of the embodiment of the present invention one
Comprising cardiovascular medical image, referring to Fig. 2 a, can generally be obtained by computer tomography and include heart
One group of medical image of blood vessel.Fig. 2 b are that the embodiment of the present invention one provides heart and the 3 d medical images of peripheral vessels are illustrated
Figure, referring to Fig. 2 b, 3 d medical images can be that the 3 D medical data collected according to medical supply are directly reconstructed and obtained,
The one group of two-dimensional medical images for obtaining can be rebuild by medical data to constitute.
S120, set up vascular pattern according to the 3 d medical images.
Fig. 3 a are a kind of vascular pattern schematic diagrames that the embodiment of the present invention one is provided, referring to Fig. 2 a, 2b and Fig. 3 a, Ke Yi
Vasculature part is extracted in 3 d medical images, is rebuild according to the vasculature part for extracting and is obtained vascular pattern.
The vascular pattern related for heart, vascular pattern can include sustainer at least a portion, one or more
At least neighbouring part of the Major Coronary being connected with the above-mentioned part of sustainer, or, one or many is coronal with main
At least adjacent portion of the branch of artery connection is graded.Further, Fig. 3 b are another blood vessels that the embodiment of the present invention one is provided
Model.Referring to Fig. 3 b in certain embodiments, can also be further is carried out in the vascular pattern for having extracted to vascular pattern
Accurately, it is specific to extract.
Segmentation to medical image medium vessels part can be realized by various partitioning algorithms, if specifically, for example for hat
Be present automatic segmentation algorithm in arteries and veins, celianeurysm, arteriae cerebri or artery of lower extremity, can be set to these automatic segmentation algorithms pre-
Imputation method, then can automatically be split using default automatic segmentation algorithm in this step to the vascular pattern.
If not existing automatic segmentation algorithm, blood in medical image can be carried out according to the segmentation result of user manual editing
The segmentation of pipe, for example, can be to obtain the vessel profile edited in medical image by user and sketched the contours of, based on edited result
The segmentation of blood vessel is realized, vascular pattern is set up according to segmentation result.
Wherein, default automatic segmentation algorithm can be based on region growing blood vessel segmentation algorithm, based on morphologic
Blood vessel segmentation algorithm, the blood vessel segmentation algorithm based on matched filtering, the blood vessel segmentation algorithm based on level set and based on tracking
Blood vessel segmentation algorithm.Specifically, the above-mentioned blood vessel segmentation algorithm based on region growing is first from endovascular a certain or several
Son point starts, according to the growth criterion of design, by the pixel of merger seed adjacent domain, the area where gradually filling blood vessel.
Optionally, above-mentioned seed can be placed by user;To realize automatic segmentation, can be come from according to the center line information of the blood vessel for extracting
It is dynamic to place seed.
It is understood that can increase detection and/or the correct operation to segmentation result if necessary, the operation can be automatic
Perform, it is also possible to triggered by user and performed.Typically, if segmentation result is wrong, such as the vessel branch in segmentation result
Any part be missed or inaccurately, can automatically check segmentation, and by user's manual correction.
Vascular pattern described in S130, rasterizing, and set the borderline region of the vascular pattern.
Wherein, rasterizing is the surface according to vascular pattern generation along the vascular pattern and the vascular pattern
The whole internal grid model for including multiple sites or lattice point.Fig. 4 is a kind of vascular pattern that the embodiment of the present invention one is provided
The partial schematic diagram of rasterizing result, referring to Fig. 4, grid model can be made up of the point of tetrahedral element, optionally, it is also possible to by
Other trellis-types are constituted, for example, hexahedron, triangular pyramid, triangular prism or comprising above type of hybrid grid.Borderline region can
Set automatically by program with the topological structure according to blood vessel, or set manually by user.Specifically, the frontier district
Domain can include:At least one in blood vessel entry zone, blood vessel exit region and vascular wall area.
To realize the definition to the automatic rasterizing of the vascular pattern and the borderline region of the vascular pattern, the grid
Formatting the vascular pattern, and set the borderline region of the vascular pattern to include:
According to default rasterizing parameter to the vascular pattern rasterizing, and predefined according to vessel borders region
Condition determines the borderline region of the vascular pattern.
Wherein, parameter of the rasterizing parameter for needed for carrying out rasterizing to the vascular pattern, optionally, the rasterizing
Parameter can be above-mentioned trellis-type, or corresponding anatomic information, and the anatomic information can include:Vascular site, blood
Pipe branch, blood vessel center and blood vessels caliber etc..Typically, rasterizing parameter can be defaulted as default rasterizing parameter, from
And realize automatic rasterizing.Predefined condition to vessel borders region can be to determining that angiosomes is carried out according to morphology
Justice, specifically, can be defined (such as to determine certain vascular ports to vessel borders region using the topological structure of blood vessel
Justice is blood vessel outlet or import) so as to realize automatically determining the borderline region of the vascular pattern.
It is, according to user's request, to realize the accurate rasterizing and the borderline region of the vascular pattern to the vascular pattern
Accurate definition, vascular pattern described in the rasterizing, and set the borderline region of the vascular pattern and can include:
Obtain the rasterizing parameter of user input and the editor to vessel borders region;
According to the rasterizing parameter and edited result, rasterizing result and vessel borders region to the vascular pattern
It is adjusted.
Wherein, the rasterizing parameter of user input can include:Maximum mesh size, minimum grid size, maximum mesh
Aspect ratio and dihedral angle of volume and control mesh quality etc..Editor to vessel borders region can be by paintbrush tool
Delineate realization, it is also possible to realized by setting not isolabeling, can also be and realized by the dragging to zone boundary.
Blood flow analysis model and join with the blood flow analysis model of the blood flow analysis model interaction that S140, acquisition prestore
Number.
The embodiment of the present invention establishes a series of blood according to factors such as personal feature, the lesion types to be analyzed of patient
Stream analysis model, and each blood flow analysis model is prestored.Wherein, the blood flow analysis model can appoint according to following
A kind of division for carrying out species of meaning:The personal feature of medical image sweep object or lesion type to be analyzed, specifically, individual
Feature correspondence individual difference, the personal feature can include the geometry at position to be detected, the geometry number of such as heart
According to, and blood pressure, heart rate, height, body weight, hematocrit and stroke volume etc., it is also possible to including:The basic letter of sweep object
Breath, such as age, sex, medical history, nationality, height and body weight etc.;Lesion type to be analyzed can be:Coronary stenosis, cardiac muscle
The blood vessel diseases such as bridge, carotid artery stenosis, cerebral aneurysm, cerebral arterial circle deformity, abdominal aneurvsm, portal hypertension, pulmonary hypertension
Disease.
Specifically, the blood flow analysis model can include blood Viscosity Model, blood flow computation model and flow velocity module of boundary
At least one in type.Further, blood Viscosity Model can include:Newtonian fluid model, non-Newtonian models, multiphase
Fluid model and self-defined Viscosity Model;Blood flow computation model can include:Blood flow stable state computation model and blood flow unstable state
Computation model, and blood flow whether stable state is calculated decides whether using unstable state solver;Flow velocity boundary model can include:Parabolic
Line model, average flow model, Womersley distributed models and self-definition model.Typically, the blood flow analysis model correspondence
Blood flow analysis model can be indicated with the mode of numerical formula.When different types of blood flow analysis model is selected, together
When also relate to setting and selected model interaction blood flow analysis model parameter, such as in Newtonian fluid model blood viscosity system
Number, density of blood etc.;Maximum iteration in blood flow steady-state simulation computation model, convergence residual error size etc.;Blood unstable state
Time step number in simulation calculating, time step etc..
In certain embodiments, the blood flow analysis model for being prestored in acquisition and the blood flow with the blood flow analysis model interaction
Before parameter of analytic model, can also include:Prestore blood flow analysis model and the blood with the blood flow analysis model interaction
Stream parameter of analytic model, and personal feature or lesion type to be analyzed with sweep object sets up mapping relations.Table 1 is to pre-
The partial schematic diagram of the blood flow analysis model deposited, referring to table 1, in some implementations, the blood flow analysis model inventory for prestoring can be
The display interface of equipment is supplied to user, the type (blood viscosity, blood flow, flow velocity etc.) analyzed as needed by user, and
Can combine situation patient individual difference (age, sex, blood pressure, height, body weight etc.), lesion type to be analyzed (coronary stenosis,
The blood such as myocardial bridge, carotid artery stenosis, cerebral aneurysm, cerebral arterial circle deformity, abdominal aneurvsm, portal hypertension, pulmonary hypertension
Pipe disease), manually select specific blood flow analysis model and set related blood stream parameter of analytic model, so as to complete blood flow analysis
The acquisition of model and relevant parameter.In some embodiments, it is also possible to according to the patient information prestored in equipment, be carried out by software
Blood flow analysis model is automatically selected, likewise, the blood flow analysis model parameter of correlation can also be automatically determined according to software.
In some embodiments, the blood flow analysis model and the blood flow analysis model parameter of correlation automatically determined by software can be by users
Manually adjusted.
Table 1
S150, the boundary condition for obtaining the borderline region.
Boundary condition is pre-stored in boundary condition storehouse, and boundary condition is associated with the vascular pattern for prestoring.Such as blood vessel mould
Type is sustainer, and corresponding boundary condition can be that normal blood flow amount is 5000 milliliters per minute, alternative perimeter strip
Part storehouse can include:Vascular pattern and corresponding boundary condition.
Specifically, the boundary condition for obtaining the borderline region includes:
Based on the boundary condition storehouse of the blood flow analysis model interaction, the boundary condition of the correspondence borderline region is obtained,
Or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is specific
Parameter values or number range.
Wherein, above-mentioned boundary condition storehouse can include common borderline region and corresponding boundary condition, for example, common border
Region can be that coronary artery import, coronary artery outlet, abdominal artery import, abdominal artery outlet, pulmonary artery import, pulmonary artery go out
Mouth, cerebral artery import, cerebral artery outlet, anal veins import, anal veins outlet, arteria carotis import and the outlet of/arteria carotis.It is right
The boundary condition for answering blood vessel entry zone can be blood flow, velocity of blood flow and/or blood pressure etc.;Correspondence blood vessel outlet area
The boundary condition in domain can be blood discharge, blood pressure etc., or be gone out with the different blood vessel that circuit model is described
One group of empirical parameter value (for example, being resistance, electric capacity and/or inductance etc.) in mouth region domain, by one group of empirical ginseng
Numerical value can select lumped parameter model (for example, Windkessel models) to simulate the influence that downstream blood vessel flows to blood flow.
Table 2 is the boundary condition storehouse comprising common vascular pattern and corresponding boundary condition, referring to table 2, can be by the theory of blood vessel just
Used as boundary condition, typically, above-mentioned common borderline region and corresponding boundary condition can be created permanent current value based on experience value
Build.
Table 2
Above-mentioned technical proposal can as needed be selected the boundary condition in boundary condition storehouse by user, it is also possible to again defeated
Enter automatic definition boundary condition, the vessel segment that can also be calculated according to specific needs selects low order coupling model as perimeter strip
Part.
S160, based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the border
Condition, is calculated blood flow analysis result.
Wherein, the calculating process to blood flow analysis result can be including the three-dimensional that blood flow is solved using numerical method etc.
Formula.Exemplary, the numerical method can be known method, for example, finite difference method, Finite Volume Method, spectrographic technique, crystalline substance
Lattice Boltzmann method, the method based on particle, Level Set Method, etc. method of geometry or finite element method, or other calculate stream
Body dynamics numerical technique.
Specifically, the process for being calculated blood flow analysis result can include:Using based on the blood flow analysis model and
The blood flow of everywhere in the node that can determine the vascular pattern rasterizing result is analyzed in the calculating of the boundary condition
And pressure.For example, calculating the result of analysis may include each of everywhere in the node of the vascular pattern rasterizing result
The value of parameter is planted, the various parameters are not limited to various flow characteristics or parameter, such as blood flowing speed, pressure, flow rate,
Or calculating parameter.To meet demand, parameter also can on the vascular pattern interpolated value, therefore, the result for calculating analysis can be to
User provides the parameter information that may generally determine with the mode of infection.
Further, based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and described
Boundary condition, being calculated blood flow analysis result can include:
According to the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition,
Haemodynamics solution is carried out to the vascular pattern, wherein, it can be Na Weier-stoke that haemodynamics solves equation group
This equation;
The blood flow analysis result that the haemodynamics is solved is shown, wherein, the blood flow analysis result includes
Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient and/or self-defined field.
Wherein, Navier-Stokes equation is
Wherein u represents velocity, and ρ represents the viscosity of blood, and τ represents stress tensor, and t represents the time, and p represents pressure
By force.According to the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition, can be with
Navier-Stokes equation is solved using the method for limited bulk and above-mentioned each parameter (velocity, the viscosity of blood is obtained
The parameter such as coefficient and stress tensor) distribution in flow field, so as to realize to Hemodynamic environment field, the blood pressure field of force, blood vessel wall stress
The analytical calculation of field, Wall shear stress, blood flow reserve coefficient and/or self-defined field.
The technical scheme of the embodiment of the present invention, vascular pattern is set up by according to the 3 d medical images of blood vessel, and according to
Blood flow analysis model, the corresponding blood flow analysis model parameter of blood flow analysis model and blood vessel that the vascular pattern, acquisition prestore
The boundary condition of the borderline region of model is calculated the blood flow parameter of blood vessel, so as to realize to the straight of the blood flow parameter of blood vessel
Connect analysis and assess, while the blood flow analysis model prestored by acquisition and corresponding blood flow analysis model parameter, solve user
The opertions engineering model (such as vessels analysis model and vessels analysis model parameter) of (doctor) to the direct assessment of blood vessel parameter
Be unfamiliar with, caused by poor user experience problem.
Embodiment two
Fig. 5 is a kind of flow chart of blood flow analysis method that the embodiment of the present invention two is provided.The present embodiment is in above-mentioned reality
Apply a kind of alternative proposed on the basis of.Referring to Fig. 5, the blood flow analysis method that the present embodiment is provided includes:
The 3 d medical images of S210, acquisition comprising blood vessel.
If S220, vasculature part are common vasculature part, using default automatic segmentation algorithm from the 3 D medical
Automatically the corresponding vascular pattern of the vasculature part is partitioned into image;Otherwise, editor of the user to vasculature part is obtained;According to
Edited result is partitioned into the corresponding vascular pattern of the vasculature part from the 3 d medical images.
Wherein, common vasculature part can be coronary artery, celianeurysm, arteriae cerebri or artery of lower extremity etc..
S230, according to default rasterizing parameter to the vascular pattern rasterizing, and according to vessel borders region
The predefined borderline region for determining the vascular pattern.
If S240, the rasterizing parameter for obtaining user input and the editor to vessel borders region, according to the grid
Change parameter and edited result, rasterizing result and vessel borders region to the vascular pattern are adjusted.
S250, the personal feature according to medical image sweep object or lesion type to be analyzed, the blood flow that acquisition prestores
Analysis model and the blood flow analysis model parameter with the blood flow analysis model interaction, wherein the blood flow analysis model includes blood
At least one in liquid Viscosity Model, blood flow computation model and flow velocity boundary model.
S260, the boundary condition storehouse based on the blood flow analysis model interaction, obtain the border of the correspondence borderline region
Condition, or, boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is tool
Body parameter values or number range.
S270, according to the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the border
Condition, haemodynamics solution is carried out to the vascular pattern, wherein, it is Na Weier-Si Tuo that haemodynamics solves equation group
Gram this equation.
S280, to the haemodynamics solve blood flow analysis result show, wherein, the blood flow analysis result
Including Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient and/or self-defined field.
Fig. 6 is the flow chart of another blood flow analysis method that the embodiment of the present invention two is provided.Referring to Fig. 6, actually should
Blood flow analysis method can be described as described in:Receive the angiography medical image of patient;Carried from the medical image
Take vasculature part interested, and set up to should vasculature part threedimensional model, wherein carrying to vasculature part interested
Taking can be realized by automatic blood vessel segmentation, it is also possible to be realized by the semi-automatic blood vessel segmentation for having user to participate in;To described three
Dimension module carries out rasterizing treatment, generates grid model and sets borderline region, wherein carrying out rasterizing to the threedimensional model
Treatment and setting for borderline region can realize that automatic grid is drawn by the predefined of default rasterizing parameter and borderline region
Divide and borderline region setting, it is also possible to which regulation is set for grid division and borderline region by the input of user;Obtain and use
Family selection blood flow analysis model and corresponding parameter, wherein, blood flow analysis model include blood pressure Viscosity Model, blood flow stable state with
Unsteady Model and flow velocity boundary model;The boundary condition of the correspondence borderline region is set, wherein to the borderline region
Setting for boundary condition can be based on the boundary condition storehouse of average statistics and select boundary condition therein or user couple for user
Boundary condition carries out self-defined, or determines the boundary condition according to low order coupling model;According to the threedimensional model, the blood
Stream analysis model, the blood flow analysis model parameter and the boundary condition, three dimensional fluid mechanics is carried out to the threedimensional model
Calculate;Output result of calculation.The method carries out model analysis using angiography medical image to lesion vesselses, and to establishing
Model be combined the hydrodynamics method of biomechanical model, the Cross shaft information complete so as to obtain blood vessel,
Preferably for doctor provides sufficient auxiliary information.
Technical scheme provided in an embodiment of the present invention, blood vessel mould is split by according to the method for automatic segmentation or manual segmentation
Type;Then automatic rasterizing is carried out to vascular pattern and borderline region is defined automatically, and obtain user input to the blood vessel mould
The rasterizing result of type and vessel borders region are adjusted;Blood flow analysis model, corresponding blood flow analysis mould that acquisition prestores
Shape parameter and the boundary condition determined according to boundary condition storehouse;Above-mentioned parameter is finally based on to calculate the blood flow parameter of blood vessel
And display, from the analysis process simplified to blood flow parameter, the requirement to the blood flow parameter analytical technology of doctor is reduced, and then more preferably
Analysis and diagnosis of the auxiliary doctor to vascular diseases.
Embodiment three
Fig. 7 is a kind of flow chart of blood flow analysis method that the embodiment of the present invention three is provided.The present embodiment is in above-mentioned reality
On the basis of applying example, by taking coronary artery blood vessel as an example, a kind of alternative of proposition.Referring to the blood flow analysis that Fig. 7, the present embodiment are provided
Method includes:
S310, several coronary arterys CT enhancing images of collection patient, and coronary artery 3 D medical is set up according to the enhancing image
Image.
As shown in Fig. 8 a, 8b and 8c, collection patient coronary artery CT enhancing images from different perspectives, and according to the enhancing figure
As setting up coronary artery 3 d medical images.
S320, using whole coronary artery together with one section of sustainer as vasculature part to be analyzed, from the coronary artery 3 D medical
The vascular pattern of the correspondence vasculature part is extracted in image.
Fig. 9 is a kind of vascular pattern that the embodiment of the present invention three is provided.Referring to Fig. 9, according to analysis needs, in above-mentioned coronary artery
The vascular pattern of correspondence vasculature part to be analyzed is extracted in 3 d medical images.
S330, the center line based on the vascular pattern and anatomic information carry out rasterizing to the vascular pattern, obtain
Grid model, and automatic identification and the borderline region for defining the vascular pattern.
Figure 10 is a kind of center line of vascular pattern that the embodiment of the present invention three is provided;Figure 11 is that the embodiment of the present invention three is carried
A kind of rasterizing result partial schematic diagram of the vascular pattern for supplying.Referring to Figure 10 and Figure 11, this example is based on the vascular pattern
Center line and anatomic information carry out rasterizing to the vascular pattern, obtain grid model.
S340, the vessels analysis model and the blood flow analysis model with the blood flow analysis model interaction that obtain user's selection
Parameter.
Specifically, selecting Unsteady State Simulation in the present embodiment, and flow velocity border is set to parabola shaped as blood vessel
Analysis model.
S350, the boundary condition for obtaining the borderline region.
Figure 12 a are the graphs of a relation of the corresponding blood flow in out of phase angle;Figure 12 b are the corresponding blood pressures in out of phase angle
Strong graph of a relation.Specifically, referring to Figure 12 a and 12b, in the present embodiment according to blood flow and blood pressure to the side of coronary artery
The boundary condition in battery limit (BL) domain is configured.
S360, according to fluid governing equation, based on the vascular pattern, the blood flow analysis model, the blood flow analysis
Model parameter and the boundary condition, are calculated blood flow analysis result.
Wherein, the duration of calculating process is according to the determination of the size of grid model.Figure 13 a are the pressure fields to coronary artery
Result shows;Figure 13 b are that the result of the blood flow of coronary artery is shown;Figure 13 c are the knots to the blood flow reserve coefficient distribution of coronary artery
Fruit shows.Referring to Figure 13 a, Figure 13 b and Figure 13 c, after calculating terminates, blood flow analysis result is shown and counted, at this
Distribution of this coronary artery in the pressure field, blood flow occasion blood flow reserve coefficient of end-systole is shown in embodiment.So as to aid in doctor
Life is diagnosed and treated based on these results to patient.
The technical scheme of the embodiment of the present invention, vasculature part correspondence to be analyzed is gone out by coronary artery Three Dimensional Medical Visualization
Vascular pattern;Then automatic rasterizing is carried out to vascular pattern and borderline region is defined automatically, and obtain user input to institute
The rasterizing result and vessel borders region for stating vascular pattern are adjusted;Obtain blood flow analysis model, the correspondence of user's selection
Blood flow analysis model parameter and according to boundary condition storehouse determine boundary condition;It is finally based on blood flow of the above-mentioned parameter to blood vessel
Parameter is calculated and shown, from the analysis process simplified to coronary blood flow parameter, so that preferably auxiliary doctor is to coronary blood
The analysis and diagnosis of pipe disease.
Example IV
Figure 14 is a kind of structural representation of blood flow analysis system that the embodiment of the present invention four is provided.Referring to Figure 14, this reality
The blood flow analysis system of example offer is provided, including:Data insmod 10, vascular pattern extraction module 20, rasterizing module 30, meter
Calculate model and parameter setting module 40, boundary condition setting module 50, hydrodynamics method module 60 and result display module 70.
Wherein, data insmod 10, for true using computed tomography or magnetic resonance angiography
Surely the medical image of angiogram is included, and the 3 d medical images of blood vessel is set up according to the medical image;
Vascular pattern extraction module 20, it is corresponding for extracting vasculature part to be analyzed according to the 3 d medical images
Vascular pattern;
Rasterizing module 30, for vascular pattern described in rasterizing, and sets the borderline region of the vascular pattern;
Computation model and parameter setting module 40, for obtain the blood flow analysis model that prestores and with the blood flow analysis mould
The blood flow analysis model parameter of type association;
Boundary condition setting module 50, for the boundary condition storehouse based on the blood flow analysis model interaction, obtains correspondence
The boundary condition of the borderline region, or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is specific
Parameter values or number range;
Hydrodynamics method module 60, for according to the vascular pattern, the blood flow analysis model, the blood flow analysis
Model parameter and the boundary condition, haemodynamics solution is carried out to the vascular pattern, wherein, haemodynamics solution side
Journey group is Navier-Stokes equation;
Result display module 70, for being shown to the blood flow analysis result that the haemodynamics is solved, wherein, institute
Stating blood flow analysis result includes Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient
And/or self-defined field.
The technical scheme of the embodiment of the present invention, vascular pattern is set up by 3 d medical images of the basis comprising blood vessel, and
According to the vascular pattern, acquisition prestore blood flow analysis model, the corresponding blood flow analysis model parameter of blood flow analysis model and
The boundary condition of the borderline region of vascular pattern is calculated the blood flow parameter of blood vessel, so as to realize the blood flow parameter to blood vessel
Direct Analysis and assessment, while by the blood flow analysis model that prestores of acquisition and corresponding blood flow analysis model parameter, solving
Opertions engineering model of the user (doctor) to the direct assessment of blood vessel parameter (join by such as vessels analysis model and vessels analysis model
Number) be unfamiliar with, caused by poor user experience problem.
Further, the vascular pattern extraction module 20 includes:Automatic cutting unit and semi-automatic segmentation unit.Its
In, automatic cutting unit, if being common vasculature part for vasculature part to be analyzed, using default automatic segmentation algorithm
The vascular pattern is split automatically;Semi-automatic segmentation unit, if for the not common blood vessel of vasculature part to be analyzed
Part, then obtain editor of the user to the vasculature part, and the vascular pattern is split according to edited result.
Wherein, common vasculature part can be coronary artery, celianeurysm, arteriae cerebri or artery of lower extremity.
Further, the rasterizing module 30 includes:Automatic meshing unit and user's adjustable unit.
Wherein, automatic meshing unit, for according to default rasterizing parameter to the vascular pattern rasterizing, and root
According to the borderline region of the predefined determination vascular pattern to vessel borders region;
User's adjustable unit, for obtaining the rasterizing parameter of user input and the editor to vessel borders region, and
According to the rasterizing parameter and edited result, rasterizing result and vessel borders region to the vascular pattern are adjusted
It is whole.
Figure 15 is the structural representation of a kind of electronic equipment provided in an embodiment of the present invention, and as shown in figure 15, the electronics sets
It is standby to include:
One or more processors 710, in Figure 15 by taking a processor 710 as an example;
Memory 720;
The electronic equipment can also include:Input unit 730 and output device 740.
Processor 710, memory 720, input unit 730 and output device 740 in the electronic equipment can pass through
Bus or other modes are connected, in Figure 15 as a example by being connected by bus.
Memory 720 as a kind of non-transient computer readable storage medium storing program for executing, can be used for store software program, computer can
Corresponding programmed instruction/the module of date storage method in configuration processor and module, such as the embodiment of the present application is (for example, accompanying drawing
Data shown in 14 insmod 10, vascular pattern extraction module 20, rasterizing module 30, computation model and parameter setting module
40th, boundary condition setting module 50, hydrodynamics method module 60 and result display module 70).Processor 710 is deposited by operation
Store up the software program in memory 720, instruct and module, so that at the various function application and data of execute server
Reason, that is, realize the blood flow analysis method of above method embodiment.
Memory 720 can include storing program area and storage data field, wherein, storing program area can store operation system
Application program required for system, at least one function;Storage data field can be stored and use created number according to electronic equipment
According to etc..Additionally, memory 720 can include high-speed random access memory, non-transitory memory can also be included, for example extremely
Few disk memory, flush memory device or other non-transitory solid-state memories.In certain embodiments, memory
720 is optional including the memory remotely located relative to processor 710, and these remote memories can be by network connection to end
End equipment.The example of above-mentioned network includes but is not limited to internet, intranet, LAN, mobile radio communication and combinations thereof.
Input unit 730 can be used to receive the numeral or character information of input, and generation sets with the user of electronic equipment
Put and the input of key signals that function control is relevant.Output device 740 may include the display devices such as display screen.
Namely:Above-mentioned electronic equipment includes:
One or more processors;
Storage device, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more for the treatment of
When device is realized, proceed as follows:
Obtain the 3 d medical images comprising blood vessel;
Vascular pattern is set up according to the 3 d medical images;
Vascular pattern described in rasterizing, and set the borderline region of the vascular pattern;
Blood flow analysis model and the blood flow analysis model parameter with the blood flow analysis model interaction that acquisition prestores;
Obtain the boundary condition of the borderline region;
Based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition,
It is calculated blood flow analysis result.
Further, the blood flow analysis model carries out the division of species according to following any one:Medical image is swept
Retouch the personal feature or lesion type to be analyzed of object.
Further, it is characterised in that the blood flow analysis model includes blood Viscosity Model, blood flow computation model and stream
At least one in fast boundary model.
Further, setting up vascular pattern according to the 3 d medical images includes:
According to the 3 d medical images, segmentation or manual segmentation go out vasculature part to be analyzed automatically, and set up blood vessel mould
Type.
Further, vascular pattern described in the rasterizing, and set the borderline region of the vascular pattern and include:
According to default rasterizing parameter to the vascular pattern rasterizing, and predefined according to vessel borders region
Determine the borderline region of the vascular pattern.
Further, vascular pattern described in the rasterizing, and set the borderline region of the vascular pattern and include:
Obtain the rasterizing parameter of user input and the editor to vessel borders region;
According to the rasterizing parameter and edited result, rasterizing result and vessel borders region to the vascular pattern
It is adjusted.
Further, the boundary condition for obtaining the borderline region includes:
Based on the boundary condition storehouse of the blood flow analysis model interaction, the boundary condition of the correspondence borderline region is obtained,
Or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is specific
Parameter values or number range.
Further, based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and described
Boundary condition, being calculated blood flow analysis result includes:
According to the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition,
Haemodynamics solution is carried out to the vascular pattern, wherein, it is Na Weier-Stokes side that haemodynamics solves equation group
Journey;
The blood flow analysis result that the haemodynamics is solved is shown, wherein, the blood flow analysis result includes
Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient and/or self-defined field.
Further, the borderline region includes:In blood vessel entry zone, blood vessel exit region and vascular wall area extremely
Few one kind.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although the present invention is carried out by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
More other Equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of blood flow analysis method, it is characterised in that including:
Obtain the 3 d medical images comprising blood vessel;
Vascular pattern is set up according to the 3 d medical images;
Vascular pattern described in rasterizing, and set the borderline region of the vascular pattern;
Blood flow analysis model and the blood flow analysis model parameter with the blood flow analysis model interaction that acquisition prestores;
Obtain the boundary condition of the borderline region;
Based on the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition, calculate
Obtain blood flow analysis result.
2. method according to claim 1, it is characterised in that the blood flow analysis model enters according to any one following
The division of row species:The personal feature of medical image sweep object or lesion type to be analyzed.
3. method according to claim 1, it is characterised in that the blood flow analysis model includes:Blood Viscosity Model, blood
At least one in flow calculation model and flow velocity boundary model.
4. method according to claim 1, it is characterised in that set up vascular pattern bag according to the 3 d medical images
Include:
Vasculature part to be analyzed is gone out according to the Three Dimensional Medical Visualization, and sets up vascular pattern.
5. method according to claim 1, it is characterised in that the boundary condition of the acquisition borderline region includes:
Based on the boundary condition storehouse of the blood flow analysis model interaction, the boundary condition of the correspondence borderline region is obtained, or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is design parameter
Numerical value or number range.
6. method according to claim 1, it is characterised in that based on the vascular pattern, the blood flow analysis model, institute
Blood flow analysis model parameter and the boundary condition are stated, being calculated blood flow analysis result includes:
According to the vascular pattern, the blood flow analysis model, the blood flow analysis model parameter and the boundary condition, to institute
Stating vascular pattern carries out haemodynamics solution;
The blood flow analysis result that the haemodynamics is solved is shown, wherein, the blood flow analysis result includes blood flow
Fast field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient and/or self-defined field.
7. method according to claim 1, it is characterised in that the borderline region includes:Blood vessel entry zone, blood vessel go out
At least one in mouth region domain and vascular wall area.
8. a kind of blood flow analysis system, it is characterised in that including:
Data insmod, for determining to be made comprising blood vessel using computed tomography or magnetic resonance angiography
The medical image of shadow, and the 3 d medical images of blood vessel are set up according to the medical image;
Vascular pattern extraction module, for extracting the corresponding blood vessel mould of vasculature part to be analyzed according to the 3 d medical images
Type;
Rasterizing module, for vascular pattern described in rasterizing, and sets the borderline region of the vascular pattern;
Computation model and parameter setting module, for obtain the blood flow analysis model that prestores and with the blood flow analysis model interaction
Blood flow analysis model parameter;
Boundary condition setting module, for the boundary condition storehouse based on the blood flow analysis model interaction, obtains the correspondence side
The boundary condition in battery limit (BL) domain, or,
Boundary condition is determined according to the vascular pattern and default low order coupling model, wherein the boundary condition is design parameter
Numerical value or number range;
Hydrodynamics method module, for according to the vascular pattern, the blood flow analysis model, blood flow analysis model ginseng
Number and the boundary condition, haemodynamics solution is carried out to the vascular pattern;
Result display module, for being shown to the blood flow analysis result that the haemodynamics is solved, wherein, the blood flow
Analysis result include Hemodynamic environment field, the blood pressure field of force, vascular wall stress field, Wall shear stress, blood flow reserve coefficient and/or oneself
Define field.
9. system according to claim 8, it is characterised in that the vascular pattern extraction module includes:
Automatic cutting unit, if being common vasculature part for vasculature part to be analyzed, is calculated using default automatic segmentation
Method is split automatically to the vascular pattern;
Semi-automatic segmentation unit, if for the not common vasculature part of vasculature part to be analyzed, obtaining user to the blood
The editor of tube portion, and the vascular pattern is split according to edited result.
10. system according to claim 9, it is characterised in that the rasterizing module includes:
Automatic meshing unit, for according to default rasterizing parameter to the vascular pattern rasterizing, and according to blood vessel
The borderline region of the predefined determination vascular pattern of borderline region;
User's adjustable unit, for obtaining the rasterizing parameter of user input and the editor to vessel borders region, and according to
The rasterizing parameter and edited result, rasterizing result and vessel borders region to the vascular pattern are adjusted.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611254342.1A CN106780477A (en) | 2016-12-30 | 2016-12-30 | A kind of blood flow analysis method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611254342.1A CN106780477A (en) | 2016-12-30 | 2016-12-30 | A kind of blood flow analysis method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106780477A true CN106780477A (en) | 2017-05-31 |
Family
ID=58954319
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611254342.1A Pending CN106780477A (en) | 2016-12-30 | 2016-12-30 | A kind of blood flow analysis method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106780477A (en) |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107491636A (en) * | 2017-07-26 | 2017-12-19 | 武汉大学 | A kind of cerebrovascular reserve analogue system and method based on Fluid Mechanics Computation |
CN108742570A (en) * | 2018-06-20 | 2018-11-06 | 博动医学影像科技(上海)有限公司 | The method and device of vascular pressure force difference is obtained based on coronary artery Dominant Types |
CN109102568A (en) * | 2018-05-28 | 2018-12-28 | 杭州阿特瑞科技有限公司 | Vascular flow analogy method and relevant apparatus based on Region Decomposition |
CN109285218A (en) * | 2018-11-06 | 2019-01-29 | 北京三普威盛科技有限公司 | The method for simulating blood flow, device, storage medium and electronic equipment |
CN109473161A (en) * | 2018-12-29 | 2019-03-15 | 上海联影医疗科技有限公司 | Thrombus attribute information acquiring method, device, equipment and storage medium |
CN109492343A (en) * | 2018-12-28 | 2019-03-19 | 北京工业大学 | A kind of calculation method replacing fluid structurecoupling based on multiple dimensioned model |
CN111317455A (en) * | 2020-03-03 | 2020-06-23 | 上海联影医疗科技有限公司 | Method, device and equipment for determining hemodynamic parameters and storage medium |
CN111415335A (en) * | 2020-03-11 | 2020-07-14 | 北京深睿博联科技有限责任公司 | Blood vessel labeling method and device |
CN111862045A (en) * | 2020-07-21 | 2020-10-30 | 上海杏脉信息科技有限公司 | Method and device for generating blood vessel model |
CN112070899A (en) * | 2020-09-10 | 2020-12-11 | 杭州晟视科技有限公司 | Method, device and storage medium for restoring blood vessel zero-pressure model based on medical image |
CN112541303A (en) * | 2021-02-07 | 2021-03-23 | 杭州晟视科技有限公司 | Method and device for measuring residual blood percentage and storage medium |
CN112767332A (en) * | 2021-01-08 | 2021-05-07 | 心医国际数字医疗系统(大连)有限公司 | Blood vessel region judgment method and system based on CTA image |
CN113012198A (en) * | 2021-03-22 | 2021-06-22 | 复旦大学 | Blood flow automatic quantitative analysis method in intracranial and extracranial vascular anastomosis |
CN113139959A (en) * | 2021-05-17 | 2021-07-20 | 北京安德医智科技有限公司 | Method and device for obtaining myocardial bridge image, electronic equipment and storage medium |
CN113545846A (en) * | 2021-07-22 | 2021-10-26 | 强联智创(北京)科技有限公司 | Hemodynamics simulation method, device and equipment |
CN113827207A (en) * | 2021-08-18 | 2021-12-24 | 上海联影医疗科技股份有限公司 | Pulmonary artery assessment method, device, computer equipment and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105095534A (en) * | 2014-04-23 | 2015-11-25 | 北京冠生云医疗技术有限公司 | Method and system for simulation of bloodstream in blood vessels |
CN105096388A (en) * | 2014-04-23 | 2015-11-25 | 北京冠生云医疗技术有限公司 | Computational Fluid Dynamics (CFD) based coronary artery blood flow simulating system and method |
CN105249954A (en) * | 2014-06-30 | 2016-01-20 | 西门子公司 | Method and system for prediction of post-stenting hemodynamic metrics for treatment planning of arterial stenosis |
US20160183786A1 (en) * | 2014-12-30 | 2016-06-30 | Optovue, Inc. | Methods and apparatus for retina blood vessel assessment with oct angiography |
CN106023202A (en) * | 2016-05-20 | 2016-10-12 | 苏州润心医疗科技有限公司 | Coronary artery fractional flow reserve calculation method based on heart CT image |
CN106037710A (en) * | 2014-11-24 | 2016-10-26 | 西门子公司 | Synthetic data-driven hemodynamic determination in medical imaging |
-
2016
- 2016-12-30 CN CN201611254342.1A patent/CN106780477A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105095534A (en) * | 2014-04-23 | 2015-11-25 | 北京冠生云医疗技术有限公司 | Method and system for simulation of bloodstream in blood vessels |
CN105096388A (en) * | 2014-04-23 | 2015-11-25 | 北京冠生云医疗技术有限公司 | Computational Fluid Dynamics (CFD) based coronary artery blood flow simulating system and method |
CN105249954A (en) * | 2014-06-30 | 2016-01-20 | 西门子公司 | Method and system for prediction of post-stenting hemodynamic metrics for treatment planning of arterial stenosis |
CN106037710A (en) * | 2014-11-24 | 2016-10-26 | 西门子公司 | Synthetic data-driven hemodynamic determination in medical imaging |
US20160183786A1 (en) * | 2014-12-30 | 2016-06-30 | Optovue, Inc. | Methods and apparatus for retina blood vessel assessment with oct angiography |
CN106023202A (en) * | 2016-05-20 | 2016-10-12 | 苏州润心医疗科技有限公司 | Coronary artery fractional flow reserve calculation method based on heart CT image |
Cited By (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107491636A (en) * | 2017-07-26 | 2017-12-19 | 武汉大学 | A kind of cerebrovascular reserve analogue system and method based on Fluid Mechanics Computation |
CN109102568A (en) * | 2018-05-28 | 2018-12-28 | 杭州阿特瑞科技有限公司 | Vascular flow analogy method and relevant apparatus based on Region Decomposition |
CN108742570A (en) * | 2018-06-20 | 2018-11-06 | 博动医学影像科技(上海)有限公司 | The method and device of vascular pressure force difference is obtained based on coronary artery Dominant Types |
CN109285218B (en) * | 2018-11-06 | 2020-11-13 | 北京三普威盛科技有限公司 | Method, device, storage medium and electronic equipment for simulating blood flow |
CN109285218A (en) * | 2018-11-06 | 2019-01-29 | 北京三普威盛科技有限公司 | The method for simulating blood flow, device, storage medium and electronic equipment |
CN109492343A (en) * | 2018-12-28 | 2019-03-19 | 北京工业大学 | A kind of calculation method replacing fluid structurecoupling based on multiple dimensioned model |
CN109473161A (en) * | 2018-12-29 | 2019-03-15 | 上海联影医疗科技有限公司 | Thrombus attribute information acquiring method, device, equipment and storage medium |
CN111317455A (en) * | 2020-03-03 | 2020-06-23 | 上海联影医疗科技有限公司 | Method, device and equipment for determining hemodynamic parameters and storage medium |
WO2021174992A1 (en) * | 2020-03-03 | 2021-09-10 | Shanghai United Imaging Healthcare Co., Ltd. | Systems and methods for determining hemodynamic parameters |
CN111317455B (en) * | 2020-03-03 | 2022-02-22 | 上海联影医疗科技股份有限公司 | Method, device and equipment for determining hemodynamic parameters and storage medium |
CN111415335A (en) * | 2020-03-11 | 2020-07-14 | 北京深睿博联科技有限责任公司 | Blood vessel labeling method and device |
CN111415335B (en) * | 2020-03-11 | 2023-12-22 | 北京深睿博联科技有限责任公司 | Blood vessel labeling method and device |
CN111862045A (en) * | 2020-07-21 | 2020-10-30 | 上海杏脉信息科技有限公司 | Method and device for generating blood vessel model |
CN111862045B (en) * | 2020-07-21 | 2021-09-07 | 上海杏脉信息科技有限公司 | Method and device for generating blood vessel model |
CN112070899A (en) * | 2020-09-10 | 2020-12-11 | 杭州晟视科技有限公司 | Method, device and storage medium for restoring blood vessel zero-pressure model based on medical image |
CN112070899B (en) * | 2020-09-10 | 2024-04-05 | 杭州晟视科技有限公司 | Method, device and storage medium for restoring blood vessel zero pressure model based on medical image |
CN112767332A (en) * | 2021-01-08 | 2021-05-07 | 心医国际数字医疗系统(大连)有限公司 | Blood vessel region judgment method and system based on CTA image |
CN112541303A (en) * | 2021-02-07 | 2021-03-23 | 杭州晟视科技有限公司 | Method and device for measuring residual blood percentage and storage medium |
CN113012198A (en) * | 2021-03-22 | 2021-06-22 | 复旦大学 | Blood flow automatic quantitative analysis method in intracranial and extracranial vascular anastomosis |
CN113139959B (en) * | 2021-05-17 | 2021-10-01 | 北京安德医智科技有限公司 | Method and device for obtaining myocardial bridge image, electronic equipment and storage medium |
CN113139959A (en) * | 2021-05-17 | 2021-07-20 | 北京安德医智科技有限公司 | Method and device for obtaining myocardial bridge image, electronic equipment and storage medium |
WO2021259395A3 (en) * | 2021-05-17 | 2022-03-31 | 北京安德医智科技有限公司 | Method and apparatus for obtaining myocardial bridge image, and electronic device and storage medium |
CN113545846A (en) * | 2021-07-22 | 2021-10-26 | 强联智创(北京)科技有限公司 | Hemodynamics simulation method, device and equipment |
CN113827207A (en) * | 2021-08-18 | 2021-12-24 | 上海联影医疗科技股份有限公司 | Pulmonary artery assessment method, device, computer equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106780477A (en) | A kind of blood flow analysis method and system | |
US11869669B2 (en) | Method and system for image processing to model vasculasture | |
US10134129B2 (en) | Method and system for hemodynamic computation in coronary arteries | |
CN105380598B (en) | Method and system for the automatic treatment planning for arteriarctia | |
EP3127026B1 (en) | Systems and methods for determining blood flow characteristics using flow ratio | |
US10130266B2 (en) | Method and system for prediction of post-stenting hemodynamic metrics for treatment planning of arterial stenosis | |
US9629563B2 (en) | Method and system for functional assessment of renal artery stenosis from medical images | |
JP6215469B2 (en) | Method and system for modeling blood flow using boundary conditions for optimized diagnostic capabilities | |
EP3140757B1 (en) | Method and system for non-invasive functional assessment of coronary artery stenosis using flow computations in models based on diseased patients and hypothetical normal anatomical models | |
US10373700B2 (en) | Non-invasive functional assessment of coronary artery stenosis including simulation of hyperemia by changing resting microvascular resistance | |
CN108735270A (en) | Blood flow reserve score acquisition methods, device, system and computer storage media based on dimensionality reduction model | |
CA3126313C (en) | Patient-specific modeling of hemodynamic parameters in coronary arteries | |
CN110929604A (en) | Screening method, device and system based on flow velocity of contrast image and storage medium |
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 | ||
CB02 | Change of applicant information |
Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant after: Shanghai Lianying Medical Technology Co., Ltd Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |
|
CB02 | Change of applicant information | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |
|
RJ01 | Rejection of invention patent application after publication |