CN107665737A - Vascular wall stress-strain state acquisition methods, computer-readable medium and system - Google Patents
Vascular wall stress-strain state acquisition methods, computer-readable medium and system Download PDFInfo
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Abstract
The present invention provides a kind of method for obtaining vascular wall stress-strain state.The method for obtaining blood vessel stress-strain state can include:Obtain the first phase blood vessel data for corresponding to a blood vessel, obtain the second phase blood vessel data corresponding to the blood vessel, the vascular pattern of first phase is established based on the first phase blood vessel data, the vascular pattern of the second phase is established based on the second phase blood vessel data, extract part interested in the first phase vascular pattern, extract part interested described in second vascular pattern, part interested sets a reference point in the first phase vascular pattern, the reference point is found in part interested described in the second phase vascular pattern, determine the displacement of the reference point and the stress at the reference point or strain are determined according to the displacement of the reference point.
Description
【Technical field】
The present invention relates to vascular wall state acquiring method, computer-readable medium and system, more particularly, to based on it is more when
Phase images data reconstruction vascular pattern and method, computer-readable medium and the system for calculating vascular wall ess-strain.
【Background technology】
At present be imaged on medical field have the function that it is important.Imaging technique species is various, can include, for example, digital
Subtract shadow angiocardiography (Digital Subtraction Angiography (DSA)), magnetic resonance imaging (Magnetic
Resonance Imaging (MRI)), magnetic resonance angiography (Magnetic Resonance Angiography
(MRA)), computed tomography (Computed tomography (CT)), CT angiograms (Computed Tomography
Angiography (CTA)), ultrasonic scanning (Ultrasound Scanning (US)), positron emission computerized tomography
(Positron Emission Tomography (PET)), single photon emission computerized tomography (Single-Photon
Emission Computerized Tomography(SPECT))、SPECT-MR、CT-PET、CE-SPECT、 DSA-MR、
PET-MR, PET-US, SPECT-US, transcranial magnetic stimulation magnetic resonance imaging (TMS (transcranial magnetic
Stimulation)-MR), US-CT, US-MR, X ray-CT, X ray-PET, X ray-US etc., or above-mentioned imaging technique
Any combination.According to above imaging technique, the threedimensional model of human tissue organ can be established on computers, including to blood
The foundation of tube model.The blood vessel of human body within a cardiac cycle due to the difference of velocity of blood flow, to the pressure of vascular wall also not
Together.Vascular wall can also produce different internal stress changes within cardiac cycle.Stress state on research vascular wall can have
The help doctor of effect come judge blood vessel which partly have potential risk of rupture.Can be with using the blood vessel imaging data of multidate
The blood vessel three-dimensional model established in complete cardiac cycle.Contributed to accurately to obtain the stress state of vascular wall using the model
Diagnose the illness and auxiliary treatment.
【The content of the invention】
The present invention solves the problems, such as to be to provide a kind of method for obtaining vascular wall stress-strain state.The acquisition blood vessel should
The method of stress-strain state can include:The first phase blood vessel data for corresponding to a blood vessel is obtained, is obtained described in corresponding to
Second phase blood vessel data of blood vessel, the vascular pattern of first phase is established based on the first phase blood vessel data, based on institute
The vascular pattern that the second phase blood vessel data establishes the second phase is stated, extracts portion interested in the first phase vascular pattern
Point, extract part interested described in second vascular pattern, the portion interested in the first phase vascular pattern
Setting up separately and put a reference point, the reference point is found in part interested described in the second phase vascular pattern, it is determined that
The displacement of the reference point and the stress at the reference point or strain are determined according to the displacement of the reference point.
Further aspect of the application is on a kind of computer-readable medium of non-transitory.The meter of the non-transitory
Calculation machine computer-readable recording medium can include executable instruction.When the instruction is by least one computing device, can cause it is described extremely
The method that a few processor realizes the acquisition vascular wall stress-strain state.
Further aspect of the application is to put forward the system for obtaining vascular wall stress-strain state on a kind of.The acquisition blood
The system of tube wall stress strain regime can include:At least one processor, and the executable instruction.
Further aspect of the application is on a kind of system.The system can include:At least one processor and
For the memory of store instruction.When the instruction is by least one computing device, the system can be caused to realize
Operation include it is described acquisition vascular wall stress-strain state method.
According to some embodiments of the present application, the method for obtaining vascular wall stress-strain state can be wrapped further
Include:By the stress or strain with reference data compared with, according to comparative result assessment blood vessel state and by blood vessel state
Assessment result is transferred to user.
According to some embodiments of the present application, the result appearance form in the blood vessel state assessment result can be following
At least one of form, including the word of figure, table, set form and audio etc..
According to some embodiments of the present application, the reference data can be stored in a storage device.
It is described blood vessel state assessment result is transferred to user to include blood vessel according to some embodiments of the present application
Condition evaluation results are transferred to the user terminal of at least one user.
According to some embodiments of the present application, it is described by the stress of the determination or strain can compared with reference data
With including:Determine the characteristic value of the reference point stress or strain and compared the characteristic value and the reference data
Compared with.
According to some embodiments of the present application, the stress of the reference point or the characteristic value of strain can be including described
Maximum stress or strain value of the reference point in different phases.
According to some embodiments of the present application, the stress of the reference point or the characteristic value of strain can be including described
The average value of stress or strain of the reference point in different phases
According to some embodiments of the present application, the part interested in the first phase vascular pattern sets one
Individual reference point can include:It is some Vascular Slices by the segmentation of blood vessels, extracts a blood vessel in some Vascular Slices
The profile of section and the profile setting reference point based on the Vascular Slice.
It is described to include segmentation of blood vessels for some Vascular Slices according to some embodiments of the present application:It is it is determined that described
The center line of blood vessel, the center line is divided into one section in some center line segments and determination some center line segments
Vessel segment corresponding to heart line segment is a Vascular Slice in some Vascular Slices.
According to some embodiments of the present application, the profile based on Vascular Slice sets the reference point to include:
The a number of reference point of uniform spaced set and selected on the vessel profile from a number of reference point
Take the reference point.
According to some embodiments of the present application, the method for obtaining vascular wall stress-strain state may further include
In the reference point of the setting select an initial point, and since initial point with counterclockwise or clockwise direction to institute
State a number of reference point number consecutively
According to some embodiments of the present application, the vascular pattern of the first phase can include cardiovascular model, institute
Coronary artery and vein can be included by stating cardiovascular model, and part interested can in the extraction first phase vascular pattern
With including automatically extracting the coronary artery in the cardiovascular model.
According to some embodiments of the present application, part interested can be with the extraction first phase vascular pattern
Including:The letter of the information of two end points of the blood vessel and two end points according to the blood vessel received is received from user
Breath, extracts the vessel segment between described two end points from the blood vessel.
According to some embodiments of the present application, the displacement for determining the reference point is alternate when can include determining that adjacent
The reference point displacement.
【Brief description of the drawings】
Fig. 1 is to include blood vessel state analysis system according to some embodiments of the present application;
Fig. 2A is the structure of a computing device according to some embodiments of the present application, and the computing device can be real
Apply the particular system disclosed in the application;
Fig. 2 B are the structural representations of a mobile device according to some embodiments of the present application, the mobile device
The particular system disclosed in the application can be implemented;
Fig. 3 is the example modules schematic diagram of the processing equipment according to some embodiments of the present application;
Fig. 4 is the schematic diagram of a processing module according to some embodiments of the present application;
Fig. 5 is the schematic diagram of an analysis module according to some embodiments of the present application;
Fig. 6 is the schematic diagram of a vessel extraction unit according to some embodiments of the present application;
Fig. 7 is the schematic diagram of a blood vessel blocking unit according to some embodiments of the present application;
Fig. 8 is the schematic diagram of a computing unit according to some embodiments of the present application;
Fig. 9 is the exemplary flow of an acquisition blood vessel stress-strain state according to some embodiments of the present application
Figure;
Figure 10 is one according to some embodiments of the present application and reference point is set on the vascular pattern of extraction
Exemplary process diagram;
Figure 11 is one according to some embodiments of the present application and the vascular pattern of extraction is segmented into some blood vessels
The exemplary process diagram of section;
Figure 12 is a schematic diagram that reference point is set on vascular pattern according to some embodiments of the present application;
Figure 13 is that same period phase vascular pattern does not determine reference point for a basis according to some embodiments of the present application
The schematic diagram of displacement;And
Figure 14 is the exemplary stream of an output assessment blood vessel state result according to some embodiments of the present application
Cheng Tu.
【Embodiment】
Many details are elaborated in the following description in order to fully understand the present invention.But the present invention can be with
Much it is different from other manner described here to implement, those skilled in the art can be in the situation without prejudice to intension of the present invention
Under do similar popularization, therefore the present invention is not limited to the specific embodiments disclosed below.
Secondly, the present invention is described in detail using schematic diagram, when the embodiment of the present invention is described in detail, for purposes of illustration only, institute
It is example to state schematic diagram, and it should not limit the scope of protection of the invention herein.
As shown in the application and claims, unless context clearly prompts exceptional situation, " one ", "one", " one
The word such as kind " and/or "the" not refers in particular to odd number, may also comprise plural number.It is, in general, that term " comprising " is only prompted to wrap with "comprising"
Include clearly identify the step of and element, and these steps and element do not form one it is exclusive enumerate, method or equipment
The step of may also including other or element.
Although the application is made that various draw to the certain module in the data handling system according to embodiments herein
With, however, any amount of disparate modules can by using and operate in a client being connected by network with the system
And/or on server.The module is merely illustrative, and the different aspect of the system and method can use different moulds
Block.
Flow chart used herein is used for illustrating according to performed by the data handling system of embodiments herein
Operating procedure.Not necessarily accurately carried out in sequence it should be appreciated that being shown in the operating procedure of above or below.Phase
Instead, various steps can be handled according to inverted order or simultaneously.It is also possible to during other operating procedures are added into these,
Or remove a certain step or number step operation from these processes.
During image real time transfer, " image segmentation ", " image zooming-out ", " image classification " can be converted mutually,
Express the image chosen out of extensive area and meet certain condition.In certain embodiments, imaging system can include it is a kind of or
Variform.The form can include digital subtraction angiography (DSA), magnetic resonance imaging (MRI), magnetic resonance angiography
(MRA), computed tomography (CT), computed tomography angiography (CTA), ultrasonic scanning (US), positive electron hair
Penetrate Tomography (PET), single photon emission computerized tomography,SPECT (SPECT), SPECT-MR, CT-PET, CE-SPECT,
DSA-MR, PET-MR, PET-US, SPECT-US, TMS-MR, US-CT, US-MR, X ray-CT, X ray-PET, X ray-
US, video-CT, video-US and/or similar one or more combinations.In certain embodiments, the target of image scanning can
To be one or more combination such as organ, body, object, damage location, tumour.In certain embodiments, image scanning
Target can be one or more combination such as head, thoracic cavity, belly, organ, bone, blood vessel.In certain embodiments, scan
Target can be one or more positions vascular tissue.In certain embodiments, image can be two dimensional image and/or three
Tie up image.In two dimensional image, most trickle resolvable elements can be pixel (pixel).It is most trickle in 3-D view
Resolvable elements can be tissue points (voxel).In 3-D view, image can be by a series of two dimension slicing or X-Y scheme
Layer is formed.
Image segmentation process can be based on image pixel (or tissue points) individual features carry out.In some embodiments
In, the individual features of the pixel (or tissue points) can include texture structure, gray scale, average gray, signal intensity, color
One or more combination such as saturation degree, contrast, brightness.In certain embodiments, the sky of the pixel (or tissue points)
Between position feature can be used for image segmentation process.
It should be noted that the description for image data processing system above, only for convenience of description, can not be this Shen
It please be limited within the scope of illustrated embodiment.It is appreciated that for those skilled in the art, understanding the original of the system
After reason, modules may be combined in the case of without departing substantially from this principle, or form subsystem and other
Module connects, to implementing the various modifications and variations in the above method and systematic difference field form and details.
Fig. 1 is to include blood vessel state analysis system according to some embodiments of the present application.The blood vessel state is analyzed
System can include data acquisition equipment 110, processing equipment 120, storage device 130 and interactive device 140.Data acquisition is set
Standby 110, processing equipment 120, storage device 130 and interactive device 140 can be communicated by network 180 between each other.
Data acquisition equipment 110 can be the equipment of a gathered data.The data can include view data, object
Characteristic etc..In certain embodiments, the data acquisition equipment 110 can include an imaging device.The imaging is set
It is standby to gather described image data.The imaging device can be magnetic resonance imager (magnetic resonance
Imaging, MRI), computed tomographic scanner (computed tomography, CT), positron emission computer
Layer displaing image instrument (positron emission computed tomography, PET), B ultrasound instrument (b-scan
Ultrasonography), diasonograph (diasonography), hot OCT (thermal texture maps,
TTM), one or more combinations in medical electronic endoscope (medical electronic endoscope, MEE) etc..
Described image data can include the picture or data of the blood vessel of object, tissue or organ.In certain embodiments, the number
It can include a characteristics of objects collecting device according to collecting device.The characteristics of objects collecting device can be with the heart of acquisition target
Rate, the rhythm of the heart, blood pressure, blood flow rate, blood viscosity, cardiac output, myocardial mass, blood vessel flow resistance, and/or other and blood
The characteristics of objects data of pipe, tissue or organ correlation.In certain embodiments, the characteristics of objects collecting device can obtain pair
As other characteristics of objects data such as age, height, body weight, sex.In certain embodiments, described image data and characteristics of objects
Data can be multi-temporal data.For example, the multi-temporal data can be the object at different time points or phase acquisition
Identical or apparent position data with it.In certain embodiments, the characteristics of objects collecting device can be integrated in it is described into
In picture equipment, so as to gather view data and characteristics of objects data simultaneously.In certain embodiments, the data acquisition equipment
110 can be sent by the data that network 180 is gathered it to processing equipment 120, storage device 130 and/or interactive device
140 etc..
Processing equipment 120 can be handled data.The data can be collected by data acquisition equipment 110
Data, the data read from storage device 130, the feedback data obtained from interactive device 140, such as the input number of user
According to, or data obtained by network 180 from high in the clouds or external equipment etc..In certain embodiments, the data can be with
Including view data, characteristics of objects data, user input data etc..It is emerging that the processing can be included in selection sense in view data
The region of interest.The region interested can voluntarily be selected or selected according to user input data by processing equipment 120.One
In a little embodiments, the area-of-interest of selection can be blood vessel, tissue or organ etc..For example, the area-of-interest can be with
It is arteries, such as coronary artery, abdominal artery, arteriae cerebri, artery of lower extremity.Processing equipment 120 can be further to institute
State in image and region interested is split.The method of image segmentation can include the image partition method based on edge,
Such as Perwitt Operator Methods, Sobel Operator Methods, gradient operator method, Kirch Operator Methods, the image partition method based on region,
Such as region-growing method, threshold method, clustering procedure and other dividing methods, such as based on fuzzy set, the method for neutral net.
Processing equipment 120 can carry out Model Reconstruction to the area-of-interest.It is special that the selection of model can be based on object
Levy data, feature of area-of-interest etc..For example, if having selected region interested is coronary artery, processing equipment 120 can
To extract image coronarius to being split comprising image coronarius.Then, processing equipment 120 can root
The reconstruction of model is carried out according to characteristics of objects, coronary artery general features, coronary artery images feature etc..The model of reconstruction can be with
The shape of coronary artery is corresponding, or corresponding with the form of blood flow in coronary artery.Establishing area-of-interest
Model after, processing equipment 120 can be analyzed according to model.
In certain embodiments, processing equipment 120 can obtain the data of multidate, if object is in 5 different time points
The image of upper coronary artery region.In this case, processing equipment 120 can to the area-of-interests of different phases (for example,
Whole coronary artery, the branch on coronary artery, or blood entry port section coronarius etc.) image build mould respectively
Type, then model is analyzed and calculated successively.In certain embodiments, processing equipment 120 can be to the different phases
Model carries out gridding processing, and interrelated to the model progress after gridding processing, is calculated so as to reduce amount of calculation, improve
The degree of accuracy.Gridding processing and model be mutually related explanation may refer to the application elsewhere as described in description, for example, figure
6, Figure 11 and its description.In certain embodiments, the result of the analysis and calculating can include blood vessel, tissue or organ
Physical state and coefficient correlation or parameter.For example, the result analyzed arteria coronaria model and calculated can include it is coronal
The hemodynamic parameter of artery, such as blood flow rate, blood pressure, blood vessel wall stress, Wall shear stress, blood flow reserve number
One or more combinations in (Fractional Flow Reserve, FFR) etc..In certain embodiments, processing equipment
120 can generate the physical state and/or coefficient correlation or parameter and phase according to the analysis of different phases and result of calculation
Or the relation (for example, hemodynamic parameter changes with time) of time.The relation can use the side of curve or the table of comparisons
Formula embodies.Based on the curve or the table of comparisons, processing equipment 120 can obtain the physical state of the area-of-interest of any phase
And/or coefficient correlation or parameter.
In certain embodiments, processing equipment 120 can carry out noise reduction or smooth to the data or result that it is obtained
Processing.In certain embodiments, the data or result that processing equipment 120 can be obtained are sent to storage device 130
Stored, or send to interactive device 140 and shown.The result can be caused centre in processing procedure
As a result, such as the model of area-of-interest or the final result of processing, the haemodynamics ginseng such as analyzed and be calculated
Number etc..In certain embodiments, processing equipment 120 can be one or more treatment elements or equipment, such as central processing unit
(central processing unit, CPU), graphics processor (graphics processing unit, GPU), numeral letter
Number processor (digital signal processor, DSP), System on Chip/SoC (system on a chip, SoC), microcontroller
Device (microcontroller unit, MCU) etc..In certain embodiments, processing equipment 120 can also be the tool of particular design
The treatment element or equipment of standby specific function.Processing equipment 120 can be local, or be relative to data acquisition equipment 110
Long-range.
Storage device 130 can store data or information.The data or information can obtain including data acquisition equipment 110
Result or control instruction caused by the data that take, processing equipment 120 and the user received by interactive device 140 are defeated
Enter data etc..Storage device 130 can be one or more storaging medium that can be read or write, including static random storage
Device (static random access memory, SRAM), random access memory (random-access memory, RAM), only
Read memory (read-only memory, ROM), hard disk, flash memory etc..In certain embodiments, storage device 130 can also be
Long-range memory, such as cloud disk.
Interactive device 140 can be received, sent, and/or display data or information.The data or information of the reception can
The number stored with the data, result, the storage device 130 caused by processing equipment 120 that are obtained including data acquisition equipment 110
According to etc..For example, data or information that interactive device 140 is shown can include cardiovascular reality that data acquisition equipment 110 obtains
The cardiovascular model 160 that border image 150, processing equipment 120 are established according to real image 150, and processing equipment 120 is from the heart
Arteria coronaria model 170 extracted in vascular pattern 160 etc..The form of display can include two dimension or three-dimensional medical science figure
As, geometrical model and its network analysis, polar plot (such as velocity line), isogram, filled-type isogram (cloud atlas),
One or more combinations such as XY scatter diagrams, particle trajectory figure, simulation flow effect.In another example the data that interactive device 140 is sent
Or information can include the input information of user.Interactive device 140 can receive one of processing equipment 120 of user's input or
Multiple operational factors, and it is sent to processing equipment 120.
In certain embodiments, interactive device 140 can include a User Interface.User can be by specific
Interactive device, such as mouse, keyboard, touch pad, microphone input a user input data to interactive device 140.For example,
User can click on region interested in the model shown by interactive device 140 and preference pattern.In another example user can select
Arbitrary position in the vascular pattern shown by interactive device 140 is selected, interactive device 140 can obtain simultaneously from processing equipment 120
Show Hemodynamic environment, blood pressure, CBF of the position etc..
In certain embodiments, interactive device 140 can be the equipment that display screen etc. has display function.In some implementations
In example, interactive device 140 can have 120 all or part of function of processing equipment.For example, interactive device 140 can be to place
Manage the result that equipment 120 generates and carry out the operation such as smooth, noise reduction, discoloration.For example, color change operation can be by a gray-scale map
Become coloured picture, or a coloured picture is become into a gray-scale map.In certain embodiments, interactive device 140 can with processing equipment 120
To be an integrated equipment.The integrated equipment can realize the function of processing equipment 120 and interactive device 140 simultaneously.
In certain embodiments, interactive device 140 can include desktop computer, server, mobile device etc..Mobile device can include
Notebook computer, tablet personal computer, ipad, the built-in device of the vehicles (for example, motor vehicle, ship, aircraft etc.), wearable device
Deng.In certain embodiments, interactive device 140 can include or be connected to display device, printer, fax etc..
The communication that network 180 can be used for inside blood vessel state analysis system 100, the information outside reception system, to being
System is outside to send information etc..In certain embodiments, between data acquisition equipment 110, processing equipment 120 and interactive device 140
Network 180 can be accessed by way of wired connection, wireless connection or its combination.Network 180 can be single network,
It can be the combination of multiple network.In certain embodiments, network 180 can include but is not limited to LAN, wide area network, public
One or more in network, dedicated network, WLAN, virtual network, city Metropolitan Area Network (MAN), public switch telephone network etc.
Combination.In certain embodiments, network 180 can include multiple network access point, such as wired or wireless access point, base station
Or network exchange point, data source is connected network 180 by above access point and information is sent by network.
In Fig. 1, processing equipment 120 can be joined directly together with data acquisition equipment 110, and data acquisition equipment 110 not with
Network 180 is joined directly together.
Description above is only the specific embodiment of the present invention, is not considered as unique embodiment.Clearly for
, all may be without departing substantially from the principle of the invention, structure after understand present invention and principle for one of skill in the art
In the case of, carry out the various modifications and variations in form and details.For example, data acquisition equipment 110, processing equipment 120, interaction
The exchange of data or information can not be directly carried out between equipment 140 by network 180.In another example these equipment can also
The exchange of data or information is carried out by way of removable memory or other intermediarys.
Fig. 2A is the structure of a computing device 200 according to some embodiments of the present application.The computing device 200
The particular system disclosed in the application can be implemented.Particular system in the present embodiment explains one using functional block diagram and included
The hardware platform of user interface.Computing device 200 can implement one or more in current description blood vessel state analysis system 100
Individual component, module, unit, subelement (for example, processing equipment 120, interactive device 140 etc.).In addition, blood vessel state analysis system
One or more of 100 components, module, unit, subelement (for example, processing equipment 120, interactive device 140 etc.) can be by
Computing device 200 is realized by its hardware device, software program, firmware and combinations thereof.This computer can be
The computer or a computer for having specific purpose of one general purpose.Two kinds of computers can be used for reality
Particular system in existing the present embodiment.For convenience's sake, a computing device is only depicted in Fig. 2A, but the present embodiment institute
The correlation computer function of the progress information processing of description and pushed information be can in a distributed fashion, it is similar flat by one group
What platform was implemented, the processing load of decentralized system.
As shown in Figure 2 A, computing device 200 can include internal communication bus 210, processor (processor) 220,
Read-only storage (ROM) 230, random access memory (RAM) 240, COM1 250, input output assembly 260, hard disk
270, user interface 280.Internal communication bus 210 can realize the data communication of the inter-module of computing device 200.Processor 220
Can with execute program instructions complete herein disclose book described in blood vessel state analysis system 100 one or more functions,
Component, module, unit, subelement.Processor 220 is made up of one or more processors.COM1 250 can configure realization
Data, which communicate, between computing device 200 and the miscellaneous part of blood vessel state analysis system 100 (such as data acquisition equipment 110) (compares
Such as by network 180).Computing device 200 can also include various forms of program storage units and data storage element, example
Such as hard disk 270, read-only storage (ROM) 230, random access memory (RAM) 240, can be used in computer disposal and/or
Communicate the various data files used, and the possible programmed instruction performed by processor 220.Input output assembly 260
Computing device 200 and other assemblies (such as user interface 280) are held, and/or with the other assemblies of blood vessel state analysis system 100 (such as
Database 140) between input/output data stream.Computing device 200 can also be sent by COM1 250 from network 180
With receive information and data.
Fig. 2 B describe a kind of structure of mobile device, and the mobile device is implemented for implementing what is disclosed in the application
Particular system.In this example, for showing that the user equipment with interaction locations relevant information is a mobile device 300.It is mobile
Equipment 300 can include smart mobile phone, tablet personal computer, music player, portable game, global positioning system (GPS) and receive
Device, wearable computing devices (such as glasses, wrist-watch), or other forms.Mobile device 300 in this example includes one or more
Individual central processing unit (CPUs) 204, one or more graphics processors (graphical processing units (GPUs))
203, a display 202, an internal memory 206, an antenna 201, for example (,) a wireless communication unit, memory cell 209, and
One or more input/output (input output (I/O)) equipment 205.Any other suitable component, including it is but unlimited
In system bus or controller (not shown on figure), it is also possible to be included in mobile device 300.As shown in Figure 2 B, a shifting
Dynamic operating system 207, such as iOS, Android, Windows Phone, and one or more can be single from storage using 208
Member 209 is loaded into internal memory 206, and performed by central processing unit 204.Using 208 may include a browser or other
It is adapted to the Mobile solution that image or blood vessel state analysis relevant information are received and handled on mobile device 300.User and blood vessel
One or more assemblies can be by defeated on the interaction of image or blood vessel state analysis relevant information in state analysis system 100
Enter/output system equipment 205 is obtained and provided to other in processing equipment 120, and/or blood vessel state analysis system 100
Component, such as:Pass through network 180.
Fig. 3 is the example modules schematic diagram of the processing equipment according to some embodiments of the present application.Processing equipment
120 can include receiving module 310, processing module 320, memory module 330 and analysis module 340 and output module 350.
Receiving module 310 can obtain view data, characteristics of objects from data acquisition equipment 310 and/or storage device 330
Data etc..Described image data can include the picture or data of the blood vessel of object, tissue or organ.The characteristics of objects number
According to the heart rate of object, the rhythm of the heart, blood pressure, blood flow rate, blood viscosity, cardiac output, myocardial mass, blood vessel flow resistance can be included
And other characteristics of objects data related to blood vessel, tissue or organ and subject age, height, body weight, sex etc. other
Characteristics of objects data.In certain embodiments, described image data and characteristics of objects data can be multi-temporal datas.For example,
The multi-temporal data can be identical or apparent position the data with the object of different time points or phase acquisition.
Processing module 320 can carry out the relevant treatment of data, and build respective image according to corresponding data.The number
According to can come from receiving module 310, memory module 330 and/or other module is not shown.The data can pass through network
The 180 external data resources obtained.The data of the processing of processing module 320 can be the number of the special part on target object
According to for example, the combination that brain, heart, blood vessel, lung, bronchus etc. are one or more.In certain embodiments, processing module 320
The data related to blood vessel can be handled.Processing module 320 can be handled data based on various modes, including may be selected
The pattern of data parameters, automatically process one or more combination such as pattern, program tupe, function tupe.One
In a little embodiments, user may be selected to need data to be processed, for example, may be selected to the blood vessel of privileged site in image
Reason.In certain embodiments, function tupe can be the blood-vessel image data prediction based on histogram-fitting, based on letter
One or more combination such as the image real time transfer of transformation of variables, the image real time transfer based on weight calculation.Described image number
According to processing can include image preprocessing, image coarse segmentation, the tracking of image characteristic point, and/or image conversion etc..At program
In reason pattern, different program processing method may be selected in different phase, data processing is carried out for different demands.Function processing
Pattern can include all kinds of type function processing methods, including level set function method, gradient descent method, exponential function converter technique, straight
One or more combinations such as square diagram data expansion Function Fitting.
Memory module 330 can be with data storage or information.The data or information of storage can be various forms, for example, number
One or more combination such as value, signal, image, the relevant information of target object, order, algorithm, program.In some embodiments
In, data storage can be the data or blood-vessel image processing institute after blood-vessel image, blood-vessel image parameter, blood-vessel image processing
The program of application and/or algorithm etc..
Analysis module 340 can carry out data analysis.In certain embodiments, analysis module can be to processing module 320
Result of calculation analyzed.For example, the result of calculation of analysis module is compared with reference value.In certain embodiments,
The expression that the result of analysis can also be formatted by the analysis module 340.For example, by analysis result be depicted as chart or
The form of report.
Output module 350 can be exported the analysis result of generation or calculating data.For example, output module 350 can
To send to storage device 130 and be stored analysis result or calculating data, or send to interactive device 140 and shown
Or otherwise (such as sound) is presented to client.The result of calculation can be generation intermediate result, such as region of interest
The model in domain, or generation final result, the vascular wall ess-strain parameter or result of calculation such as analyzed and be calculated and when
Relation curve or the table of comparisons of phase etc..
Fig. 4 is the schematic diagram of a processing module 240 according to some embodiments of the present application.Processing module can be with
The matching of the blood vessel blocking unit 430, one of vessel extraction unit 420, one of unit 410, one blood vessel is loaded into comprising a data
Unit 440 and a computing unit 450.Can (and/or indirect) connection directly with one another between shown module.
Data, which are loaded into unit 410, can be loaded into blood vessel data to establish vascular pattern.The blood vessel data can be come from
In receiving module 310 and/or memory module 330.In certain embodiments, the blood vessel data may come from receiving module
310.The data of the receiving module 310 come from data acquisition equipment 110.Such as data acquisition equipment 110 generates a system
Row CT faulted scanning pattern piece.This series of CT faulted scanning pattern piece can transmit to data via receiving module 310 and be loaded into unit
410.In certain embodiments, the blood vessel data may come from memory module 330.For example, the case-data of certain object
It is stored in memory module 330, can be directly from storage mould during radiography picture when needing to transfer the dependent diagnostic of the object
Data are read in block 330 and are transmitted to data and are loaded into unit 410.The data are loaded into unit 410 can be by acquired blood
Pipe image data is loaded into data processing module 320.
Described blood vessel image data can be a series of angiographic image, or the electronics of some reaction angio-architectures
Data.In certain embodiments, a series of angiographic image can be certain root blood vessel or a certain part blood vessel different cross section
Image.A series of number of angiographic images can be by the disposal ability or memory module of data acquisition equipment 110
The information storage for the part blood vessel in 330 determines.For example, the imaging capability of certain data acquisition equipment 110 can be with
X section of certain section of blood vessel, then a series of number of the angiographic images obtained can be x or less than x.In another example certain is right
The cross sectional images of y certain section of blood vessels are included in the case-data of memory module 330 as being stored in, then a series of blood vessels obtained are made
Shadow picture can be y individual or individual less than y.In certain embodiments, described blood vessel image data can be a series of electronics
Data.For example, the data output result formats of certain data acquisition equipment 110 are a simulated blood vessel model, the vascular pattern by
Some voxels are formed, and each voxel can have a corresponding coordinate.The summation of the coordinate of each voxel can be used for weight
Build a complete vascular pattern.The coordinate information of the voxel can be transmitted as electronic data, and be loaded into by data
Unit 410 is loaded into.The data volume size of the electronic data can be determined by the resolution ratio of the voxel.If for example, by blood
Tube model is finely divided into more voxels, and then there may be bigger data volume.
The blood vessel image data of described loading can be image data corresponding to the blood vessel state of a certain phase, some groups
Blood vessel state dynamic image data in image data corresponding to the blood vessel state of different phases, or certain section of period.At some
In embodiment, loaded blood vessel image data corresponds to image data for the blood vessel state of a certain phase.It is for example, aroused in interest at one
In cycle, the contraction and diastole of heart may cause the change of blood vessel state.The a certain phase can be heart contraction to most
Small phase, the phase of diastole to maximum, or a certain phase during heart contraction or diastole.In some embodiments
In, the blood vessel image data of the loading can be image data corresponding to the blood vessel state of some groups of difference phases.For example, institute
State some groups of difference phases and may be constructed a part of or complete cardiac cycle.A part of cardiac cycle can be that heart relaxes
Period corresponding to the process of opening, or the period corresponding to systole.The vessel-like of some groups of difference phases
State, which corresponds to image data, can reflect state change of the part blood vessel within the corresponding period.The group of some groups of difference phases
Number can be determined by the ability of data acquisition equipment 110, be determined by the disposal ability of loading unit, or determined by user.Example
Such as, the imaging capability of certain data acquisition equipment 110 is higher in the resolution ratio of time-domain, then can be given birth within the period studied
Into more multigroup blood vessel image.In another example the data-handling capacity that certain data is loaded into unit 410 is limited, then some groups be loaded into
The disposal ability that blood vessel image data set number can be loaded into unit 410 by data is limited.In another example studied for certain blood vessel state
Precision requirement it is very high, then need more multigroup blood vessel image data just to restore the vessel-like in institute's search time section enough
The change of state.In certain embodiments, the blood vessel image data can also be the blood vessel dynamic image data in certain time.
For example, the data output result of certain data acquisition equipment 110 can be a motion video.The motion video can be with certain frame number
Play continuous state situation of change of the blood vessel in institute's search time section.
The blood vessel image data can be the image strengthened by angiogram.In certain embodiments, the data
The image that collecting device 110 exports may include blood vessel and other bodily tissues.Other described bodily tissues can include muscle
The positions such as tissue, bone, organ.The blood vessel and other bodily tissues may intersect.In order to remove other bodies
The influence to blood vessel research is organized, angiogram enhancing processing can be carried out to the image output of data acquisition equipment 110 to shell
Separate out the part of blood vessel.
The blood vessel image data of the loading can be used for building vascular pattern.The vascular pattern can be a three-dimensional
Vascular pattern.If what is be loaded into is the blood vessel image data of some groups of difference phases, when can construct some groups of differences
The three-dimensional blood vessel model of phase.The structure of the model can be built according to a series of vascular cross-section images, or according to blood vessel
Electronic data is built.In certain embodiments, the data of loading are the image of a series of blood vessel different cross section, then can root
These vascular cross-sections are overlapped and intended in space according to coordinate corresponding to the profile of each section medium vessels and the section
Synthesize a complete vascular pattern.In certain embodiments, the structure of the vascular pattern is built according to electronic data
's.Such as the coordinate that loaded blood vessel data is different voxels on blood vessel that data acquisition equipment 110 exports, then vascular pattern
The process of foundation can be that the coordinate of these voxels is arranged in space, and be fitted to a complete vascular pattern.
Vascular pattern described in some embodiments can be a dynamic 3-dimensional image.Such as the number that data acquisition equipment 110 exports
According to being consecutive variations information of some voxel coordinate within some period on blood vessel.Then vascular pattern establish process can be by
Each voxel coordinate is fitted and continuously played, so as to generate a continuous 3-dimensional image model with certain frame number.
Vessel extraction unit 420 can extract a certain part blood vessel in vascular pattern.A part of blood vessel can be
A certain section of cluster blood vessel, a blood vessel or a blood vessel.In certain embodiments, the object of radiography is cardiovascular.Heart
Blood vessel can be divided into coronary artery (coronary artery) and vein.For the different symptoms of object, doctor may judge the heart of object
Lesion occurs for coronary artery or vein, then the coronary artery and vein in the vascular pattern for now needing to be established are peeled off in favor of doctor
Life is diagnosed.In another example in certain embodiments, doctor has had tentatively in the output result of data acquisition equipment 110
It is abnormal to judge that a certain blood vessel may be present, then, can should using vessel extraction unit 420 after vascular pattern foundation
Out made a concrete analysis of there may be the vessel extraction of lesion part.For another example in certain embodiments, the blood vessel after foundation
There is obvious difference in some local vascular section on model, then can extract the part vessel segment and be made a concrete analysis of.
Blood vessel can be carried out piecemeal by blood vessel blocking unit 430.In certain embodiments, the vascular pattern established carries
The part vascular pattern of taking-up needs to be blocked into small blood vessel unit before being further analyzed, and (also referred to as blood vessel is cut
Piece).Calculated by being researched and analysed respectively to each small blood vessel unit, then by result of researching and analysing respectively according to its piecemeal
Method is integrated, then can obtain the global analysis result of studied vessel segment.In certain embodiments, the blood vessel piecemeal list
Vascular wall can be divided into some sections of curved surfaces by member 430 along blood vessel bearing of trend.In certain embodiments, the blood vessel piecemeal list
Studied vessel segment can be divided into some open circles shell of columns by member 430 perpendicular to vessel centerline.The vessel centerline is
Along blood vessel bearing of trend, positioned at the imaginary lines of blood vessel center.The open circles shell of column hollow parts are what blood flowed through
Part.The piecemeal can be uniform, or uneven.In certain embodiments, can be for whole section of blood vessel mould to be studied
Type is uniformly divided.In some embodiments, it may be possible to it is part interested to have part blood vessel, then can be by the part
Blood vessel does the segmentation (for example, being divided into relatively small or shorter block or Vascular Slice) of opposite fine, and other relatively secondary weights
The part blood vessel wanted can carry out the segmentation (for example, being divided into relatively large or longer block or Vascular Slice) of relative coarseness.
Blood vessel matching unit 440 can be matched same section of blood vessel of different phases.In certain embodiments, it is loaded into
Processing module 320 be some groups of difference phases same section of blood vessel image data.After vascular pattern is established, to right
If state of the same place in different phases on this section of blood vessel is studied, then need to carry out different phase vascular patterns
Matching, find at this on different phase vascular patterns on this section of blood vessel.The matching can be that certain block blood vessel is matched,
Or the point on blood vessel is matched.For example, just the voxel on blood vessel is numbered when vascular pattern is established, then
After different phase vascular patterns are generated, region corresponding to the voxel of identical numbering is considered the region of matching.
Computing unit 450 can be used for calculating the state change of blood vessel.The state change of the blood vessel can include blood vessel
The displacement of upper point, strain and/or stress variation of the blood vessel within a period of time, strain and/or stress of the blood vessel in a certain phase
Distribution etc..In certain embodiments, the computing unit 450 can calculate the state of above-mentioned Vascular Slice respectively, and can incite somebody to action
The result of calculating is reintegrated according to the cutting algorithm of Vascular Slice, obtains the state status of whole blood vessel.In some realities
Apply in example, for the vascular pattern of different phases, the computing unit 450 can calculate two-by-two respectively vascular pattern to draw in terms of
Change of two blood vessels calculated under corresponding states.It is described calculate two-by-two refer to calculate two adjacent phase phases (also referred to as " when
Phase ") change of checkpoint state on vascular pattern.For example, calculate reference point on first phase phase and second phase phase vascular pattern
Change, calculate the change of reference point on second phase phase and third phase phase vascular pattern.The computing unit 450 will can also be counted two-by-two
The blood vessel state situation of change of calculation integrates according to phase phase sequence, obtains continuous blood vessel state situation of change.For example, by
One phase was mutually mutually integrated to the reference point change of second phase phase with the second phase to the reference point situation of change of third phase phase, then might be used
To obtain the phase first phase mutually to the dynamic change situation of the reference point in the phase time third phase.The like, it can obtain complete
The dynamic change situation of each reference point on vascular pattern in cardiac cycle.
It should be noted that the description for processing module 320 above, only for convenience of description, can not limit the application
System is within the scope of illustrated embodiment.It is appreciated that for those skilled in the art, understanding the principle of the system
Afterwards, modules may be combined in the case of without departing substantially from this principle, or forms subsystem and other moulds
Block connects, to implementing the various modifications and variations in the above method and systematic difference field form and details.Such as at some
In embodiment, the vascular pattern constructing function that data are loaded into unit 410 can build subelement to realize by a vascular pattern.
In certain embodiments, vessel extraction unit 420 and blood vessel piecemeal unit 430 can be merged into one and obtain Vascular Slice
Unit.
Fig. 5 is the schematic diagram of an analysis module 230 according to some embodiments of the present application.The analysis module
340 can include 510, result generation units 520 of a result of calculation comparing unit and a result transmission subelement
530.Shown unit each other can directly (and/or) be indirectly connected with.
Result of calculation comparison unit 510 can tie computing unit 450 to the result of calculation of blood vessel state with a reference
Fruit is compared and generates a comparison conclusion.The reference result can be stored in the data in memory module 330, can be with
The data being stored in network 180, or the data that user voluntarily inputs.In certain embodiments, the vessel-like of the research
State reference result and correlation ratio can be stored in conclusion in a table.For example, when the blood vessel state is blood vessel stress, it is described
Reference result can be the corresponding relation of a blood vessel range of stress and degree of danger.The degree of danger can be divided into it is normal,
Early warning, danger, it is in extreme danger.In certain embodiments, user can carry out being manually entered the correspondence according to clinical experience
Relation.In certain embodiments, the contrast can be the result of calculation contrast of the blood vessel state of same target different times.Example
Such as, the blood vessel state result of calculation in certain object morning, the blood vessel state result of calculation and the result of calculation in evening at noon can lead to
Result of calculation comparison unit 510 is crossed to be contrasted and show that the object, when the state change of medium vessels, can help to cure at one day
It is raw understand the object one day when be that blood vessel is easier to occur danger when.
As a result the conclusion that result of calculation comparing unit 510 is drawn can be generated various forms of presentations by generation unit 520
Mode.The presentation mode can be statistical chart, statistical form, the document of set form and audio etc..The result presentation mode
User can be presented to by interactive device 140.The result generation unit 520 can include a figure and generate subelement
521st, 522, one, table generation subelement, 523, one, text report generation subelement audio notification generation subelement 524 and
One video report generation subelement 525.The unit can (and/or indirect) connection directly with one another.
Figure generation subelement 521 can generate a series of statistical chart, or colored and/or gray scale vascular pattern figure etc..
The statistical chart can include the statistical charts such as curve map, line chart, pie chart and histogram.For example, the statistical chart can be certain
Locate stress changing curve figure of the blood vessel within a cardiac cycle.Colored and/or gray scale the vascular pattern figure can use face
Color depth is shallow and/or GTG represents the distribution situation of the state parameter on certain section of blood vessel.For example, can be with deeper color come table
Show the larger part that met with stresses on certain section of blood vessel.The part is considered the part of risk of rupture.
Table generation subelement 522 can generate a series of data comparison form.For example, in certain embodiments, it is described
The list of items of form can be a series of numbering of the numbering either Vascular Slice of blood vessels, and row project can be blood vessel or blood vessel
The state parameter type of section, such as displacement, strain, stress etc..The reference value of corresponding states parameter type can also be displayed on
In table and take this as a foundation and provide the early warning conclusion of blood vessels present or Vascular Slice.The early warning conclusion can be normal, early warning,
It is dangerous and be in extreme danger.
The conclusion and computing unit that text report generation subelement 523 can draw result of calculation comparison unit 510
The word description of 450 result of calculation generation certain format.The word description of the certain format can be pre-designed
Text.The text is in the position that some are fixed according to result of calculation and the filling of contrast conclusion memory or modification.For example, it is pre-designed
Good text formatting can be " ... the maximum strain that number blood vessel ... was in a cardiac cycle is ..., and maximum stress is ..., should
Place blood vessel reference normal maximum stress be ..., this go out blood vessel exist rupture risk it is relatively low/higher/high ".
Corresponding early warning can be reported and/or sent to audio notification generation subelement 524 according to contrast conclusion generation voice
Sound.In certain embodiments, the voice report can be the corresponding part addition pair in the voice document of advance typing
Than result and result of calculation.For example, being sound template by above-mentioned text formatting content recordal, contrast knot is reported in ad-hoc location
Fruit or result of calculation.In certain embodiments, the early warning sound can be the early warning conclusion in comparing result to send.
For example, when early warning conclusion is dangerous or when being in extreme danger, interactive device 140 can send the buzzer of different frequency to remind use
Family.
Video report generation subelement 525 can be according to the conclusion and calculating for drawing result of calculation comparison unit 510
The result of calculation of unit 450 generates an animation or video.As an example, video report generation subelement 525 will can calculate
The result of calculation of unit 450 generates an animation, show in a period of time (for example, in one or more cardiac cycles) blood vessel,
The change of blood flow or blood vessel state.In certain embodiments, a video report can include audio, word, icon.
As an example, one displaying a period of time in (for example, in one or more cardiac cycles) blood vessel, blood flow or vessel-like
The animation of the change of state can be explained with audio, or explanatory note be engaged, there is provided in animation different phases blood vessel,
Blood flow or one or more parameters of blood vessel state (for example, blood pressure, stress etc.).
As a result the Different Results presentation mode that transmission subelement 530 can generate is transferred to transport module 350, and then transmits
To different user terminals, different user terminals can also be conveyed directly to.In certain embodiments, as a result generation unit
520 results generated, result of calculation of computing unit 450 etc. can be sent by network 180 to the terminal of user.The user
Terminal can be the equipment such as computer, mobile phone, display device, printer, fax.The result can be sent to multiple users simultaneously
Terminal.In certain embodiments, multiple terminals relative to data acquisition equipment 110 or processing equipment 120 can be it is local or
Long-range.For example, certain object has multiple consultants, the blood vessel state result of the user can send simultaneously to the object, its
The terminal of family members, guardian, the multiple consultant etc..
It should be noted that the description for analysis module 340 above, only for convenience of description, can not limit the application
System is within the scope of illustrated embodiment.It is appreciated that for those skilled in the art, understanding the principle of the system
Afterwards, modules may be combined in the case of without departing substantially from this principle, or forms subsystem and other moulds
Block connects, to implementing the various modifications and variations in the above method and systematic difference field form and details.Such as at some
In embodiment, as a result the part subelement in generation unit 520 can omit.
Fig. 6 is the schematic diagram of a vessel extraction unit 420 according to some embodiments of the present application.The blood vessel
Extraction unit 420 can split subelement 610 and a blood vessel semi-automatic segmentation subelement 620 automatically comprising a blood vessel.Institute
State segmentation refer to be split the vascular pattern of structure, can include by blood vessel and human body, its hetero-organization is split, by certain
A kind of blood vessel (such as coronary artery) is split with other kinds of angiogenic, and certain part on blood vessel is split with other parts
(such as blood vessel is split close to the part of heart).Blood vessel segmentation can be based on one or more algorithms.Blood vessel segmentation is calculated
Method can include threshold method, region-growing method, the method based on energy function, Level Set Method, region segmentation and/or merging,
Edge track split plot design, statistical pattern recognition method, mean cluster split plot design, modelling, the split plot design based on deformable model,
Artificial Neural Network, minimal path split plot design, tracing, rule-based split plot design, coupled surface split plot design etc., or
Any combination of above-mentioned dividing method.
Blood vessel splits subelement 610 automatically to carry out dividing processing by the vascular pattern of structure automatically.In some implementations
In example, described automatic segmentation algorithm can be stored in advance in computing device, for example, in the computing device described in Fig. 2A.
For example, then blood is being built, it is necessary to individually individually analyzed each blood vessel in cluster for certain a kind of vessels analysis
The single vessel in model can be split automatically after tube model.In certain embodiments, described automatic segmentation algorithm
Can be determined according to the position of imaging vessels.For example, during the diagnosis of heart disease object, doctor may wish to know
The stress distribution situation of the object heart coronary artery., can be certainly then after the model of the object cardiac component blood vessel is built
It is dynamic to be split the coronary artery in vascular pattern with vein.In certain embodiments, described automatic segmentation algorithm can be with
It is to be determined according to the purpose of diagnosis.For example, doctor may need to know the distribution feelings of capillary in some diseases diagnosis
Condition, then it can be divided for the vascular pattern of structure, relatively thick vasculature part and relatively thin vasculature part.It is described
Automatic segmentation algorithm can be stored in memory module 330, and can need call when by interactive device 140 by
User is selected.The automatic segmentation algorithm can also carry out upgrading optimization by network 180.For example, equipment production firm
Periodically or non-periodically the method for blood vessel segmentation may be optimized or be provided new blood vessel segmentation method, and correlation is provided
Packet is downloaded for user and is updated.
The blood vessel semi-automatic segmentation subelement 620 can receive user instruction to aid in carrying out blood vessel segmentation.At some
In embodiment, doctor may operate according to the blood vessel segmentation that some special cases need to be becomed privileged, and the blood vessel point
Operation is cut can not or improper to realize by the method split automatically.After vascular pattern has been built, doctor can have according to object
Signs shape carries out manual segmentation.For example, doctor can will be obvious in the vascular pattern built by interactive device 140
Pick out and split in the position for being likely to occur lesion.Described select can specify some region on vascular pattern,
Or a certain section of blood vessel.The specified a certain section of blood vessel can manually select two points on certain root blood vessel to split two points
Between blood vessel.The manual segmentation can also be built upon on the basis of automatic segmentation.For example, examined to heart coronary artery
In disconnected, subelement 610 can be split automatically by blood vessel and first split coronary artery, then may on the coronary artery being just partitioned into by doctor
Further split the part for lesion occur.In certain embodiments, the blood vessel being partitioned into automatically may be due to automatic point
Algorithm optimization deficiency is cut, or certain error be present in the reason such as computing device computing capability deficiency, and these errors may shadow
Sound arrive diagnosis of the doctor to disease, then needs manually method to modify the blood vessel after splitting automatically.For example, heart is preced with
Maitong, which is crossed after automatic division method is separated, still has section of vein not have complete parttion with coronary artery, then can pass through blood vessel
Semi-automatic segmentation unit 620 manually splits away this section of vein.In another example analyzing some organ or tissue's capillary
Diagnosis in, in order to prevent or reduce computing device calculation error, computing device can be judged to the adjusting thresholds of capillary
To be wider part capillary is missed to avoid or reduce.After splitting by automatic division method, there may be part thicker
Blood vessel is not divided clean.Now can be by blood vessel semi-automatic segmentation subelement 620 by the thicker blood vessel segmentation in this part
Go out.
Fig. 7 is the schematic diagram of a blood vessel blocking unit 430 according to some embodiments of the present application.The blood vessel
Blocking unit 430 can include a central line pick-up subelement 710 and a vessel profile demarcation subelement 720.The blood
Pipe piecemeal can be that certain root blood vessel is divided into the unit that can carry out numerical analysis with a certain method of partition.For example, by blood vessel mould
If type is blocked into stem portion according to its voxel number.In another example blood vessel is divided into being cut perpendicular to the direction of vessel centerline
Some pieces of vessel segments.For another example vascular wall etc. corresponding to certain surface product size is intercepted on vascular wall with certain size.
Central line pick-up subelement 710 can extract the center line of certain section of blood vessel.In certain embodiments, vessel centerline
The imaginary line moved towards along blood vessel positioned at internal blood vessel can be referred to.Vessel centerline can include blood vessel in one or
The set of multiple pixels (or tissue points).Blood vessel can include within vessel borders line and vessel borders line pixel (or
Tissue points) set.In certain embodiments, vessel centerline can include blood vessel center or the pixel close to blood vessel center
The set of (or tissue points) or composition line.In certain embodiments, vessel centerline can include one or more blood
Pipe end point.A paths of the vessel centerline between the end points.In certain embodiments, the vessel centerline
The method of determination can be that vessel is cut into a number of vessel segment, it is determined that a central point of each blood vessel center,
So that this is minimum apart from the statistics variance of vascular wall.The central point of each vessel segment is fitted with curve.If cut
The blood vessel segment number cut is enough, then the curve being fitted may be considered the center line of this section of blood vessel.In certain embodiments, close
The Application No. PCT/CN2016/ that August in 2016 submits on the 30th is may be referred in the illustrative methods of blood vessel center line drawing
097294 international application, its content are contained in this by reference., can be with after the center line for obtaining this section of blood vessel
It is averaged and is divided into some sections of center line segments so that every section of center line segment all correspond to one section of vascular wall.By the part blood vessel
The Vascular Slice that wall exports as blood vessel segmentation module 430.When the selection of center line segment it is sufficiently small when, Vascular Slice along blood vessel
The thickness in direction can not considered, then the Vascular Slice is the cyclic structure of a consideration vascular cross-section shape.
Vessel profile demarcation subelement 720 can carry out sliding-model control to Vascular Slice.Vessel profile demarcation is single
Member 720 can determine the profile of Vascular Slice.Because the vascular wall of Vascular Slice has certain thickness, so the profile of vascular wall
Can be approximated to be the profile of blood vessel, the profile of vessel outer wall or other the envelope of Vascular Slice cyclic structure can be described
Closed curve.In certain embodiments, because the profile of Vascular Slice is a full curve, in order to beneficial to analysis, it is necessary to be taken turns to it
Wide curve carries out sliding-model control.For example, one reference point is set every a segment distance on the vessel profile curve.It is described
The distribution of reference point can be uniform, or uneven.For example, in certain embodiments, can for cardiovascular research
The state status of the closely myocardium side of blood vessel can be primarily upon, then more reference can be set in the side of the nearly cardiac muscle of Vascular Slice
Point, and other side sets less reference point.In certain embodiments, when the reference point can be calibrated to carry out different
The matching of mutually same vessel segment.For example, some point in some Vascular Slice is labeled as into " M-n ", it is m-th blood to represent the point
N-th reference point in pipe section.In the same vessel segment state of the different phases of analysis, the reference of same tag can be clicked through
Row matching.The labeling method of the reference point can the coordinate in space according to residing for vascular pattern be marked, such as with distance
The distance of origin is marked.The mark of the reference point can also be carried out according to blood vessel species characteristic.For example, research
When being covered in the blood vessel of myocardial surface, initial reference point can be set to the reference point near cardiac muscle, with clockwise or inverse
The direction of hour hands is demarcated to reference point.
Fig. 8 is the schematic diagram of a computing unit 450 according to some embodiments of the present application.The computing unit
450 can include a displacement determination subelement 810, a strain determination subelement 820 and a stress determination subelement
830.Shown unit can be mutually independent can also be interrelated.For example, can be according to the displacement after determination come really
Fixed strain;Can be according to the strain after determination come identified sign.
Displacement determination subelement 810 can determine the displacement of the reference point.The displacement is in different vascular patterns
Corresponding reference point is in the displacement in same model space.In certain embodiments, the displacement can be relative displacement.Example
Such as, the space coordinates of certain reference point is A in the vascular pattern of first phase.It is corresponding in the vascular pattern of second phase
The space coordinates of reference point be B, then the reference point is to be directed to B from A points from first phase to the relative displacement of the second phase
A space vector.By that analogy, the displacement of multiple reference points on the vascular pattern of described two phases can be by
It is determined that.The displacement result of calculation can be stored in memory module 330.Described in strain determination subelement 820 can determine
The strain of corresponding reference point.In certain embodiments, after the displacement between corresponding reference point is determined, can determine therefrom that
Corresponding strain, such as according to Green strain tensor formula etc..The strain result can be stored in memory module 330.Should
Power determination subelement 830 can determine the stress suffered by the corresponding reference point.In certain embodiments, the determination of the stress
It can be determined according to the corresponding relation between strain and stress.For example, studied blood vessel can be found by the method tabled look-up
The modulus of elasticity of section, according to modulus of elasticity and strain come identified sign.The stress result can be stored in memory module 330
In.
Fig. 9 is the exemplary flow of an acquisition blood vessel stress-strain state according to some embodiments of the present application
Figure.Blood vessel stress-strain state, which obtains flow, can include obtaining multidate blood vessel data and establish vascular pattern 910, extract blood
Part 920 interested in tube model, some reference points 930 are set on the vascular pattern of extraction, match pair of not same period phase
Answer reference point 940, according to the data calculating reference point displacement 950 of more phase phases and according to reference point displacement calculate blood vessel strain with
Stress 960.
In 910, multidate blood vessel data can be obtained and establish vascular pattern.In certain embodiments, when obtaining more
The operation of phase blood vessel data can be loaded into unit 410 by data and perform.The blood vessel data can include data loading unit 410 can
With the blood vessel image data of reception.Described blood vessel data can be angiographic image, or electronic data.On blood vessel data
The associated description of type citing may be referred to the description that data are loaded into unit 410.In certain embodiments, loaded blood vessel
Data can be image data corresponding to the blood vessel state of a some groups of difference phases.For example, some groups of difference phases
It may be constructed a part of or complete cardiac cycle.A part of cardiac cycle can be corresponding to diastole when
Between section, or period corresponding to systole.The blood vessel state of some groups of difference phases corresponds to image data can
To reflect state change of the part blood vessel within the corresponding period.The group number of described some groups of image data can be determined by user
Fixed or equipment performance determines.For example, described group of number can be less than or equal to the data acquisition equipment 110 for being used for being imaged in a heart
The image data group number upper limit that can be gathered or generate in the period in dynamic cycle.In another example described group of number can be according to doctor
Judgement to medical diagnosis on disease difficulty determines;Diagnosis difficulty is bigger, and the group number of demand can be more.The blood vessel image data can
Be by angiogram strengthen image.In certain embodiments, the image that the data acquisition equipment 110 exports may
Include blood vessel and other bodily tissues.Other described bodily tissues can include the positions such as musculature, bone, organ.
The blood vessel and other bodily tissues may intersect., can be with order to remove the influence that other bodily tissues are studied blood vessel
Angiogram enhancing processing is carried out to separate the part of blood vessel to the image output of data acquisition equipment 110.In some implementations
In example, establishing the operation of vascular pattern can also be performed by data loading unit 410.The vascular pattern can be three-dimensional blood vessel
Model.If what is be loaded into is the blood vessel data of multidate, the three-dimensional blood vessel model of corresponding multidate can be established.The mould
The method of type structure may be referred to the description that data insmod in 410.
In 920, part interested in vascular pattern can be extracted.In certain embodiments, the operation can be by blood
Pipe extraction unit 420 performs.In certain embodiments, the part interested can be determined according to the symptom of object
's.For example, certain object can feel angina pectoris when heart contraction, then doctor may judge the coronary artery part of object heart
Lesion is there may be, then coronary artery blood vessel can be defined as to part interested.In another example object may feel some blood capillarys
It is uncomfortable to manage densely distributed place, then doctor may judge the part capillary of the object lesion be present and by the part
It is defined as part interested.The part interested can be inputted by user by interactive device 140.The extraction
Part interested is the function of being split blood vessel that vessel extraction unit 420 can perform in vascular pattern.The extraction
Can automatically extract and/or semi-automatic extraction.Method on blood vessel segmentation may be referred to vessel extraction unit 420 and wherein
Blood vessel split description in subelement 610, blood vessel semi-automatic segmentation subelement 620 automatically.The operating result of extraction operation
Can be one section on a piece blood vessel of acquisition or a blood vessel.
In 930, some reference points can be set on the vascular pattern of extraction.In certain embodiments, the setting is joined
The operation of examination point can be performed by blood vessel blocking unit 430 and vessel profile therein demarcation subelement 720.It is more in order to analyze
The change of phase vascular pattern, it can select to realize by studying the change of the corresponding points on different phase phase vascular patterns.One
In a little embodiments, the vascular pattern extracted before first can be subjected to piecemeal, the piecemeal may be referred to blood vessel blocking unit 430
Described in method of partition.In certain embodiments, blood vessel can be cut into slices along the vertical direction of vessel centerline, is obtained
To a series of vessel segments.When cutting into slices enough, thickness of the vessel segment along centerline direction can not be considered.In some embodiments
In, subelement 720 can be demarcated by vessel profile and the annular profile of vessel segment is extracted, and reference is set on its profile
Point.The method for setting reference point may be referred to the description that vessel profile is demarcated in subelement 720.
In 940, the corresponding reference point of not same period phase can be matched.In certain embodiments, the matching operation can be by
Blood vessel matching unit 440 performs.For the vascular pattern of different phases, reference point thereon needs to carry out after being matched
Comparative study one by one.For example, certain reference point in first phase phase vascular pattern can not be with other in second phase phase vascular pattern
Reference point is compared.Described reference point matching operation may be referred to the description in blood vessel matching unit 440.
, can be according to the data calculating reference point displacement of more phase phases in 950.In certain embodiments, the reference point position
Moving the operation calculated can be performed by displacement determination subelement 810.In certain embodiments, the displacement of reference point is the adjacent phase
The relative displacement of phase.For example, certain reference point of point in first phase phase vascular pattern is A1 on blood vessel, in second phase phase blood vessel mould
Reference point in type is A2, and the reference point in third phase phase vascular pattern is A3.The reference point displacement then calculated be respectively from
A1 to A2 displacement and the displacement from A2 to A3, without calculating the displacement from A1 to A3.By that analogy, the reference point is obtained to exist
Continuous change in displacement information in more phase phase vascular patterns.Described displacement calculates operation and may be referred to displacement determination subelement
Description in 810.
In 960, the strain of blood vessel can be calculated according to reference point displacement with exerting oneself.In certain embodiments, the strain
It can be performed with stress by strain determination subelement 820 and stress determination subelement 830.According to the displacement of point and strain stress
Between correlation, continuous change in displacement information that can be in 950 determines continuous strain variation situation and correspondingly
Stress variation situation.The method for determining strain stress may be referred to strain determination subelement 820 and stress determines that son is single
Description in member 830.
It should be noted that above for obtaining the description of blood vessel stress-strain state, only for convenience of description, can not be
The application is limited within the scope of illustrated embodiment.It is appreciated that for those skilled in the art, understanding the system
Principle after, modules may be combined in the case of without departing substantially from this principle, or form subsystem with
Other modules connect, to implementing the various modifications and variations in the above method and systematic difference field form and details.Such as
Step 920 can be omitted.In certain embodiments, the behaviour of reference point can be integrally configured to the vascular pattern of foundation
Make.This may bring the rising of amount of calculation, but can equally continue executing with the operation after 930.
Figure 10 is one according to some embodiments of the present application and reference point is set on the vascular pattern of extraction
Exemplary process diagram.The flow of reference point is set to include the vascular pattern of extraction being segmented on the vascular pattern of extraction
If dry chip 1010, extract Vascular Slice profile 1020 and some reference points 1030 are set based on vessel profile.
In 1010, if the vascular pattern of extraction can be segmented into dry chip.In certain embodiments, the sectioning
It can be performed by blood vessel blocking unit 430.In certain embodiments, the segmentation can be along vertical blood vessel extension side by blood vessel
To a number of vessel segment is cut into, the dicing method may be referred to the description in blocking unit 430.
In 1020, the profile of Vascular Slice can be extracted.In certain embodiments, the operation of the contours extract can be by
Vessel profile demarcation subelement 720 performs.The profile of the Vascular Slice is to be the profile of blood vessel, the profile of vessel outer wall
Etc. the closed curve that can describe Vascular Slice cyclic structure.The determination method of the Vascular Slice profile may be referred to blood vessel wheel
Description in exterior feature demarcation subelement 720.
In 1030, vessel profile can be based on some reference points are set.In certain embodiments, the reference point sets behaviour
Subelement 720 can be demarcated by vessel profile by, which making, performs.In certain embodiments, it can be by blood that the reference point, which sets operation,
Pipe contour curve carries out sliding-model control.The sliding-model control method may be referred in vessel profile demarcation subelement 720
Description.In certain embodiments, the blood vessel studied is myocardial surface blood vessel, then reference point can using by the nearest point of cardiac muscle as
Initial point, demarcated counterclockwise or with this clockwise.
Figure 11 is one according to some embodiments of the present application and the vascular pattern of extraction is segmented into some blood vessels
The exemplary process diagram of section.The flow that the vascular pattern of extraction is segmented into some Vascular Slices can include determining that extraction
The center line 1110 of vascular pattern, by center line it is equidistant be divided into some sections 1120 and determine every section of center line corresponding to blood vessel
For Vascular Slice.In certain embodiments, above-mentioned each operation can be performed by blood vessel blocking unit 430.
In 1110, it may be determined that the center line of the vascular pattern of extraction.In certain embodiments, the determination center line
Operation can be performed by central line pick-up subelement 710.In certain embodiments, vessel centerline can refer to be located at blood vessel
The internal imaginary line moved towards along blood vessel.The method for determining vessel centerline may be referred to central line pick-up
Description in unit 710.
In 1120, some sections can be divided into by center line is equidistant.In certain embodiments, the division operation can be with
Performed by central line pick-up subelement 710.The equidistant quantity for being divided into some sections can handle energy by computing device
Power or result precision prescribed determine.In certain embodiments, the division of center line is in order to by the vascular pattern of extraction
It is divided into some units, is integrated again after being analyzed respectively.If element number is excessive, amount of calculation may be caused to increase, during processing
Between extend, but it is corresponding integrate after result precision may be improved.So user can be according to specific diagnosis need
Will, manual selection needs the quantity of the unit divided.For example, certain emergency treatment object is badly in need of blood vessel state diagnosis knot in situations in the surgery room
Fruit, then doctor may wish to obtain result as early as possible, corresponding division numbers can be reduced.In another example certain object is through excessive
Secondary diagnosis is still not able to find the cause of disease, then doctor may wish to obtain more accurate result, corresponding division numbers
It can increase.
In 1130, it may be determined that blood vessel corresponding to every section of vessel centerline is Vascular Slice.In certain embodiments, should
Determining the operation of Vascular Slice can be performed by central line pick-up subelement 710., can be with after blood vessel center line segment has been divided
Its corresponding vascular wall scope is determined according to the center line segment.In certain embodiments, can be with one all the time in this
The plane of heart line segment is scanned to the other end from one end of the center line segment, and the vascular wall that the plane is related to then is confirmed as in the section
Vascular wall corresponding to heart line segment.This section of vascular wall determined can be considered as Vascular Slice.When center line segment selection it is sufficiently small when,
The thickness along vessel directions of Vascular Slice can not considered, then the Vascular Slice is a consideration vascular cross-section shape
Cyclic structure.
Figure 12 is a schematic diagram that reference point is set on vascular pattern according to some embodiments of the present application.
In A, data are loaded into unit 410 and construct a three-dimensional vascular pattern according to the image data of data acquisition equipment, and should
Model contains blood vessel 1 and blood vessel 2.In certain embodiments, blood vessel 1 can be heart coronary artery, and blood vessel 2 can be that heart is quiet
Arteries and veins.Blood vessel 1 is researched and analysed, needs to be separated blood vessel 1 and blood vessel 2.In B, vessel extraction unit 420 is by blood
Pipe 1 with blood vessel 2 split and has been extracted out by blood vessel 1.The segmentation can be automatically by heart coronary artery and vein
Split, or user identifies bleeding pipe 1 in the vascular pattern in A and extracted manually.In order to the blood vessel 1 extracted
Studied, blood vessel 1 can also be subjected to piecemeal, piecemeal operation can be completed by blood vessel blocking unit 430.According to before
The blood vessel method of partition of description, blood vessel 1 can be blocked into some vessel segments.Vessel segment in dotted line frame α can be piecemeal
One in some vessel segments afterwards.If dotted line frame α width is sufficiently small, it can not consider that the vessel segment extends along blood vessel
The thickness in direction, the vessel segment in dotted line frame α is a Vascular Slice.Vascular Slice section in B in dotted line frame is a closure
Cyclic structure.In C, the profile that subelement 720 extracts the Vascular Slice can be demarcated by vessel profile, the profile carries
Method is taken to may be referred to the description in vessel profile demarcation subelement 720.Profile after extraction is a ring-type curve, in order to just
In analysis, the curve can be subjected to discretization.In D, the curve is interpolated to some reference points by equidistant.The ginseng
The number of examination point can be the arbitrary integer in 50 to 5000, such as 100 or 200.In certain embodiments, the reference point
Number can determine according to distance between reference point.Such as when setting reference point, it may be determined that between two reference points away from
From for a certain fixed value, then the number of reference point determines according to the selection of the fixed value.It is determined that after complete reference point, also needing pair
Reference point is demarcated.For example, the point of bottom is arranged to beginning point of reference 1 in D, with direction counterclockwise successively to reference
Click through rower to determine, until the demarcation of last reference point finishes.In certain embodiments, for certain type of blood vessel, such as people
The blood vessel of body organ surface, the determination of the reference point 1 can be the points that the Vascular Slice most presses close to the human organ surface.
In some embodiments, space coordinates origin where the determination of the reference point 1 can be closest to vascular pattern or some
The point of axle.
Figure 13 is that same period phase vascular pattern does not determine reference point for a basis according to some embodiments of the present application
The schematic diagram of displacement.T1 and T2 is the two not same period identical Vascular Slice figures, and two Vascular Slices all have passed through in figure
Profile determines to set with reference point.The Vascular Slice from T1 to T2 during cause it for some reason on transverse width
It has been expanded that, and all there occurs a certain degree of displacement for corresponding reference point.There is corresponding reference point N1 and N2 in T1 and T2.Can
So that N1 and N2 coordinate are put into a three-dimensional system of coordinate M into (omission z-axis), then reference point N1 to N2 displacement can be obtained.
The displacement can point to N2 vector representation with one from N1.
According to above schematic diagram, it may be determined that in the Vascular Slice all reference points from the T1 phases mutually to the displacement of T2 phase phases.
The displacement of all reference point phase phases from T1 to T2, enters on each Vascular Slice blood vessel that method can then be extracted successively
And according to the relation of displacement and strain, stress the blood vessel of the extraction can be determined from the T1 phases mutually to the strain and stress of T2 phase phases.
Calculating T2 to T3 phase phases successively, T3 to T4 phase phases, until a complete cardiac cycle, then can determine in the period
The strain stress situation of change of various pieces on interior blood vessel.
Figure 14 is the exemplary stream of an output assessment blood vessel state result according to some embodiments of the present application
Cheng Tu.The output, which is assessed blood vessel state result and can included, obtains stress or strain data 1410, with reference vessel stress or
Strain data compares 1420, assesses blood vessel state 1430 according to comparative result and blood vessel state result 1440 is assessed in output.One
In a little embodiments, above-mentioned steps can be performed by analysis module 340.
In 1410, stress or strain data can be obtained.The stress or strain data can be obtained in 960
Stress or strain data.In certain embodiments, held for some reference point on a certain vascular pattern under not same period phase
The stress or strain received are probably different.The data for reacting the stress at the reference point or emergent property can be this o'clock one
In the section time, or the maximum stress or the data of strain born one or more cardiac cycles, or within a period of time or one
Or the accumulation mean of multiple cardiac cycle stress or strain data.For example, when diagnosing some vascular diseases, blood vessel may be deposited
In the maximum stress that one can bear, then the maximum stress or strain value that this bears in not same period phase can be used as reflection should
The data of point stress or emergent property.In another example in certain embodiments, certain reference point on blood vessel is born necessarily for a long time
The risk that there may be rupture is pointed out in the stress of degree or strain, the then accumulation in possible elapsed time reference.Now the point exists
The accumulation mean of same period corresponding force or strain data can be as the stress or emergent property data of the point.
, can be compared with reference vessel stress or strain data in 1420.In certain embodiments, it is described relatively to operate
It can be performed by result of calculation comparison unit 510.The comparison can be by the reference point stress-strain characteristics number in 1410
According to compared with reference vessel stress or strain data.Described reference vessel stress or strain data, which can be stored in, to be deposited
Store up the data in module 330, the data obtained by network 180, or the data of user's input.In certain embodiments, it is described
Reference vessel stress or strain data can be the blood vessel state reference results described in result of calculation comparison unit 510.
In 1430, blood vessel state can be assessed according to comparative result.The blood vessel stress-strain characteristics data and reference
The comparative result of data can correspond to a comparison conclusion, for example, normally, early warning, danger, be in extreme danger.In some embodiments
In, the reference data is probably some data intervals, corresponds to corresponding relatively conclusion respectively.When the blood vessel stress or strain
When performance data is fallen in some section, then corresponding relatively conclusion is corresponded to.Described assessment blood vessel state conclusion can pass through
As a result generation unit 520 is handled, the file such as generation statistical chart, statistical form, the document of set form and audio.Related
Generating mode may be referred to the description in result generation unit 520.
In 1440, it can export and assess blood vessel state result.In certain embodiments, the operation of the output result can
To be performed by result transmission subelement 530.The way of output of the result may be referred to retouching in result transmission subelement 530
State.
Basic conception is described above, it is clear that to those skilled in the art, foregoing invention discloses only
As an example, and the restriction to the application is not formed.Although do not clearly state herein, those skilled in the art may
Various modifications are carried out to the application, improves and corrects.Such modification, improvement and amendment are proposed in this application, so such
Modification, improve, correct the spirit and scope for still falling within the application example embodiment.
Meanwhile the application has used particular words to describe embodiments herein.Such as " one embodiment ", " one implements
Example ", and/or " some embodiments " mean a certain feature, structure or the feature related at least one embodiment of the application.Cause
This, it should be highlighted that and it is noted that " embodiment " or " implementation that are referred to twice or repeatedly in diverse location in this specification
Example " or " alternate embodiment " are not necessarily meant to refer to the same embodiment.In addition, in one or more embodiments of the application
Some features, structure or feature can carry out appropriate combination.
In addition, it will be understood by those skilled in the art that each side of the application can be by some with patentability
Species or situation are illustrated and described, including any new and useful process, the combination of machine, product or material, or right
Their any new and useful improvement.Correspondingly, the various aspects of the application can be performed completely by hardware, can be complete
Performed, can also be performed by combination of hardware by software (including firmware, resident software, microcode etc.).Hardware above is soft
Part is referred to alternatively as " data block ", " module ", " engine ", " unit ", " component " or " system ".In addition, each side of the application
The computer product being located in one or more computer-readable mediums may be shown as, the product includes computer-readable program
Coding.
Computer-readable signal media may include the propagation data signal containing computer program code in one, such as
A part in base band or as carrier wave.The transmitting signal may have many forms, including electromagnetic form, light form etc.
Deng or suitable combining form.Computer-readable signal media can be any meter in addition to computer-readable recording medium
Calculation machine computer-readable recording medium, the medium can by be connected to an instruction execution system, device or equipment with realize communication, propagate or
Transmit the program for using.Program coding in computer-readable signal media can be carried out by any suitable medium
Propagate, include the combination of radio, cable, fiber optic cables, RF or similar mediums or any of above medium.
Computer program code needed for the operation of the application each several part can use any one or more programming language,
Including Object-Oriented Programming Language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#,
VB.NET, Python etc., conventional procedural programming language for example C language, Visual Basic, Fortran 2003, Perl,
COBOL 2002, PHP, ABAP, dynamic programming language such as Python, Ruby and Groovy, or other programming languages etc..The journey
Sequence coding can on the user computer run or be run on the user computer as independent software kit or part completely
Operation part is run in remote computer or run completely on remote computer or server on the user computer.Rear
In the case of kind, remote computer can be connected by any latticed form with subscriber computer, such as LAN (LAN) or wide
Domain net (WAN), or externally connected computer (such as passing through internet), or used in cloud computing environment, or as service
As software services (SaaS).
In addition, except clearly stating in non-claimed, the order of herein described processing element and sequence, digital alphabet
Using or other titles use, be not intended to limit the order of the application flow and method.Although by each in above-mentioned disclosure
Kind of example discusses some it is now recognized that useful inventive embodiments, but it is to be understood that, such details only plays explanation
Purpose, appended claims are not limited in the embodiment disclosed, on the contrary, claim is intended to cover and all meets the application
The amendment of embodiment spirit and scope and equivalent combinations.For example, although system component described above can be set by hardware
It is standby to realize, but only can also be achieved by the solution of software, such as pacify on existing server or mobile device
The described system of dress.
Similarly, it is noted that real to one or more invention so as to help in order to simplify herein disclosed statement
Apply the understanding of example, above in the description of the embodiment of the present application, sometimes by various features merger to one embodiment, accompanying drawing or
In descriptions thereof.But this disclosure method is not meant to carry in the aspect ratio claim required for the application object
And feature it is more.In fact, the feature of embodiment will be less than whole features of the single embodiment of above-mentioned disclosure.
Description composition, the numeral of number of attributes are used in some embodiments, it should be appreciated that such to be used for embodiment
The numeral of description, qualifier " about ", " approximation " or " generally " etc. has been used to modify in some instances.Unless say in addition
Bright, " about ", " approximation " or the numeral that " generally " shows allow the change for having ± 20%.Correspondingly, in some embodiments
In, the numerical parameter used in description and claims is approximation, approximation feature according to needed for separate embodiment
It can change.In certain embodiments, numerical parameter is considered as defined significant digit and retained using general digit
Method.Although it is used to confirm that the Numerical Range of its scope range and parameter are approximation in some embodiments of the application, specific real
Apply in example, being set in for such numerical value is reported as precisely as possible in feasible region
Although the present invention is disclosed as above with preferred embodiment, it is not for limiting the present invention, any this area
Technical staff without departing from the spirit and scope of the present invention, may be by the methods and technical content of the disclosure above to this hair
Bright technical scheme makes possible variation and modification, therefore, every content without departing from technical solution of the present invention, according to the present invention
Any simple modifications, equivalents, and modifications made to above example of technical spirit, belong to technical solution of the present invention
Protection domain.
Claims (18)
1. a kind of vascular wall stress-strain state acquisition methods, it is characterised in that methods described includes:
Obtain the first phase blood vessel data for corresponding to a blood vessel;
Obtain the second phase blood vessel data corresponding to the blood vessel;
The vascular pattern of first phase is established based on the first phase blood vessel data;
The vascular pattern of the second phase is established based on the second phase blood vessel data;
Extract part interested in the first phase vascular pattern;
Extract part interested described in second vascular pattern;
Part interested sets a reference point in the first phase vascular pattern;
The reference point is found in part interested described in the second phase vascular pattern;
Determine the displacement of the reference point;And
Stress at the reference point or strain are determined according to the displacement of the reference point.
2. the method as described in claim 1, it is characterised in that:Methods described further comprises:
By the stress or strain compared with reference data;
Blood vessel state is assessed according to comparative result;And
Blood vessel state assessment result is transferred to user.
3. method as claimed in claim 2, it is characterised in that:Result appearance form in the blood vessel state assessment result is
At least one of figure, table, the word of set form and audio.
4. method as claimed in claim 2, it is characterised in that:The reference data storage is in a storage device.
5. method as claimed in claim 2, it is characterised in that:It is described that blood vessel state assessment result is transferred to user including inciting somebody to action
Blood vessel state assessment result is transferred to the user terminal of at least one user.
6. method as claimed in claim 2, it is characterised in that:It is described to enter the stress of the determination or strain with reference data
Row relatively includes:
Determine the characteristic value of the reference point stress or strain;And
By the characteristic value compared with the reference data.
7. method as claimed in claim 6, it is characterised in that:The stress of the reference point or the characteristic value of strain include
Maximum stress or strain value of the reference point in different phases.
8. method as claimed in claim 6, it is characterised in that:The stress of the reference point or the characteristic value of strain include
The average value of stress or strain of the reference point in different phases.
9. the method as described in claim 1, it is characterised in that:The portion interested in the first phase vascular pattern
Set up separately and put a reference point and include:
It is some Vascular Slices by the segmentation of blood vessels;
Extract the profile of a Vascular Slice in some Vascular Slices;And
Profile based on the Vascular Slice sets the reference point.
10. method as claimed in claim 9, it is characterised in that:It is described to include segmentation of blood vessels for some Vascular Slices:
Determine the center line of the blood vessel;
The center line is divided into some center line segments;And
It is one in some Vascular Slices to determine vessel segment corresponding to one section of center line segment in some center line segments
Individual Vascular Slice.
11. method as claimed in claim 9, it is characterised in that:The profile based on Vascular Slice sets the reference point
Including:
The a number of reference point of uniform spaced set on the vessel profile;And
The reference point is chosen from a number of reference point.
12. method as claimed in claim 11, it is characterised in that:Methods described further comprises the reference point in the setting
In select an initial point, and since initial point with counterclockwise or clockwise direction to a number of reference point
Number consecutively.
13. the method as described in claim 1, it is characterised in that:The vascular pattern of the first phase includes cardiac blood pipe die
Type, the cardiovascular model includes coronary artery and vein, described to extract part interested in the first phase vascular pattern
Including automatically extracting the coronary artery in the cardiovascular model.
14. the method as described in claim 1, it is characterised in that:It is interested in the extraction first phase vascular pattern
Part include:
The information of two end points of the blood vessel is received from user;And
According to the information of two end points of the blood vessel received, the blood between described two end points is extracted from the blood vessel
Pipeline section.
15. the method as described in claim 1, it is characterised in that:It is adjacent that the displacement for determining the reference point includes determination
When the alternate reference point displacement.
16. a kind of computer-readable medium of non-transitory, including executable instruction, the instruction is held by least one processor
During row, at least one processor is caused to realize a kind of method, including:
Obtain the first phase blood vessel data for corresponding to a blood vessel;
Obtain the second phase blood vessel data corresponding to the blood vessel;
The vascular pattern of first phase is established based on the first phase blood vessel data;
The vascular pattern of the second phase is established based on the second phase blood vessel data;
Extract part interested in the first phase vascular pattern;
Extract part interested described in second vascular pattern;
Part interested sets a reference point in the first phase vascular pattern;
The reference point is found in part interested described in the second phase vascular pattern;
Determine the displacement of the reference point;And
Stress at the reference point or strain are determined according to the displacement of the reference point.
17. a kind of system, including:
At least one processor, and
Memory, for store instruction, when the instruction is by least one computing device, cause what the system was realized
Operation includes:
Obtain the first phase blood vessel data for corresponding to a blood vessel;
Obtain the second phase blood vessel data corresponding to the blood vessel;
The vascular pattern of first phase is established based on the first phase blood vessel data;
The vascular pattern of the second phase is established based on the second phase blood vessel data;
Extract part interested in the first phase vascular pattern;
Extract part interested described in second vascular pattern;
Part interested sets a reference point in the first phase vascular pattern;
The reference point is found in part interested described in the second phase vascular pattern;
Determine the displacement of the reference point;And
Stress at the reference point or strain are determined according to the displacement of the reference point.
18. system as claimed in claim 17, it is characterised in that:The operation for causing the system to be realized further is wrapped
Include:
By the stress or strain compared with reference data;
Blood vessel state is assessed according to comparative result;And
Blood vessel state assessment result is transferred to user.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109507217A (en) * | 2018-11-22 | 2019-03-22 | 南京林业大学 | A method of internal strain is distributed after detection wood-based plate water suction |
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CN113838572A (en) * | 2021-09-10 | 2021-12-24 | 深圳睿心智能医疗科技有限公司 | Method and device for acquiring blood vessel physiological parameters, electronic equipment and storage medium |
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101283929A (en) * | 2008-06-05 | 2008-10-15 | 华北电力大学 | Rebuilding method of blood vessel three-dimensional model |
CN101612061A (en) * | 2008-06-25 | 2009-12-30 | 河北以岭医药研究院有限公司 | A kind of network vein-qi stasis type blood vessel endothelial dysfunction disease is waited the method for building up of animal model |
CN101901498A (en) * | 2009-12-31 | 2010-12-01 | 华中科技大学 | Recursion modelling method of human coronary artery |
CN102525565A (en) * | 2010-11-10 | 2012-07-04 | 富士胶片株式会社 | Ultrasound diagnostic apparatus and method |
CN103077550A (en) * | 2012-12-10 | 2013-05-01 | 华北电力大学(保定) | Vascular four-dimensional reconstruction method in NOT gate-controlled ICUS (intravascular ultrasound) image sequence |
CN103247071A (en) * | 2013-03-29 | 2013-08-14 | 哈尔滨工业大学深圳研究生院 | Method and device for constructing three-dimensional blood vessel model |
CN105705081A (en) * | 2013-11-15 | 2016-06-22 | 阿西斯特医疗系统有限公司 | Abiotic stress resistance |
US9427173B2 (en) * | 2008-05-09 | 2016-08-30 | General Electric Company | Determining mechanical force on aneurysms from a fluid dynamic model driven by vessel blood flow information |
-
2017
- 2017-01-23 CN CN201710051476.1A patent/CN107665737A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9427173B2 (en) * | 2008-05-09 | 2016-08-30 | General Electric Company | Determining mechanical force on aneurysms from a fluid dynamic model driven by vessel blood flow information |
CN101283929A (en) * | 2008-06-05 | 2008-10-15 | 华北电力大学 | Rebuilding method of blood vessel three-dimensional model |
CN101612061A (en) * | 2008-06-25 | 2009-12-30 | 河北以岭医药研究院有限公司 | A kind of network vein-qi stasis type blood vessel endothelial dysfunction disease is waited the method for building up of animal model |
CN101901498A (en) * | 2009-12-31 | 2010-12-01 | 华中科技大学 | Recursion modelling method of human coronary artery |
CN102525565A (en) * | 2010-11-10 | 2012-07-04 | 富士胶片株式会社 | Ultrasound diagnostic apparatus and method |
CN103077550A (en) * | 2012-12-10 | 2013-05-01 | 华北电力大学(保定) | Vascular four-dimensional reconstruction method in NOT gate-controlled ICUS (intravascular ultrasound) image sequence |
CN103247071A (en) * | 2013-03-29 | 2013-08-14 | 哈尔滨工业大学深圳研究生院 | Method and device for constructing three-dimensional blood vessel model |
CN105705081A (en) * | 2013-11-15 | 2016-06-22 | 阿西斯特医疗系统有限公司 | Abiotic stress resistance |
Non-Patent Citations (2)
Title |
---|
李小宝: "血液流动状态下血管壁的变形与应力分析", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
石明国: "《现代医学影像技术学》", 30 April 2007, 陕西科学技术出版社 * |
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