CN109584169A - A kind of intercept method and system of the intracranial vessel image based on center line - Google Patents
A kind of intercept method and system of the intracranial vessel image based on center line Download PDFInfo
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Abstract
The embodiment of the present application discloses the intercept method and system of a kind of intracranial vessel image based on center line.The program includes: to be partitioned into three-dimensional entocranial artery blood-vessel image from received three dimensional CT A image；From intracranial vessel image to be intercepted, the skeleton line of target blood section is extracted, and choose the beginning and end of target blood section；The shortest path of the beginning and end of target blood section described in skeleton line computation based on the target blood section determines the center line and radius of target blood section；Based on the center line and radius of the target blood section, the target blood section of the intracranial vessel image is intercepted.The program is realized to the vessel segment image local interception in three dimensional CT A image, in order to the material objectization of entocranial artery vessel segment, intervention surgical simulation and related teaching appliance production.
Description
Technical field
This application involves field of medical imagings, more particularly to the intracranial vessel image based on center line intercept method and be
System.
Background technique
Being constantly progressive and develop, the development of Medical Imaging Technology and computer graphics with modern medicine image documentation equipment
Huge variation, computer tomography (CT), nuclear magnetic resonance (MRI), ultrasound (US), positron emission meter are brought to medicine
Calculation machine tomographic imaging (PET), magnetic resonance angiography (magnetic resonance angiography, MRA), Digital Subtraction
The Medical Imaging Technologies such as angiography (Digital Subtraction Angiography, DSA), CTA have been widely used for
The diagnosis of clinical treatment.
In the prior art, three dimensional CT A image is a kind of common image of diagnostic imaging.
CTA is a kind of angiography carried out using CT (computed assisted tomography) technology, can be visited and whole body
All arteries and vein blood vessel, the blood vessel including the heart, brain, lung, kidney, four limbs etc..Its technology, which mainly passes through introducing contrast agent, to be made
Blood is low to the permeability of X-ray, and blood vessel is made to be shown as high density shadow in CT film, so that blood vessel and other tissue areas be separated
Come.CTA can be used for checking the arterial system of brain, clearly whether there is cerebrovascular malformation or hemangioma.
But in the prior art, it is not based on the partial cut away method of the intracranial vessel image of CTA image.
Summary of the invention
The embodiment of the present application provides the intercept method and system of a kind of intracranial vessel image based on center line, to part
Intercept the vessel segment image in intracranial vessel image.
The intercept method of this application provides a kind of intracranial vessel image based on center line, comprising:
From received three dimensional CT A image, it is partitioned into three-dimensional entocranial artery blood-vessel image；
From intracranial vessel image to be intercepted, the skeleton line of target blood section is extracted, and chooses rising for target blood section
Point and terminal；
The shortest path of the beginning and end of target blood section described in skeleton line computation based on the target blood section, really
Set the goal the center line and radius of vessel segment；
Based on the center line and radius of the target blood section, the target blood section of the intracranial vessel image is intercepted.
Further, from received three dimensional CT A image, it is partitioned into three-dimensional entocranial artery blood-vessel image, comprising:
From received three dimensional CT A image, selected seed point and the tonal range for determining needs；
Binaryzation is carried out to three dimensional CT A image, bianry image is obtained, by vessel enhancement filter to entocranial artery blood vessel
The bianry image in region is enhanced, and enhancing figure is obtained；
Schemed based on enhancing, three dimensional CT A image is split.
If having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery blood is divided by region-growing method
Pipe image；
If not having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional encephalic is divided by section binary segmentation method
Arteries image.
Further, from intracranial vessel image to be intercepted, the beginning and end of target blood section is chosen, comprising:
From the intracranial vessel image of close blood vessel surface to be intercepted, beginning and end is chosen, arbitrarily with the starting point
It is target blood section with the vessel segment that terminal is chosen, the beginning and end is the beginning and end of target blood section.
Accordingly, the intercepting system of this application provides a kind of intracranial vessel image based on center line, comprising:
Extraction module extracts the skeleton line of target blood section, and choose target blood from received three dimensional CT A image
The beginning and end of section；
Determining module, the beginning and end of target blood section described in the skeleton line computation based on the target blood section is most
Short path determines the center line and radius of target blood section；
Interception module intercepts the target of the intracranial vessel image based on the center line and radius of the target blood section
Vessel segment.
Further, extraction module extracts the skeleton line of target blood section, and choose from received three dimensional CT A image
The beginning and end of target blood section, comprising:
From received three dimensional CT A image, selected seed point and the tonal range for determining needs；
Binaryzation is carried out to three dimensional CT A image, bianry image is obtained, by vessel enhancement filter to entocranial artery blood vessel
The bianry image in region is enhanced, and enhancing figure is obtained；
Schemed based on enhancing, three dimensional CT A image is split.
If having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery blood is divided by region-growing method
Pipe image；
If not having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional encephalic is divided by section binary segmentation method
Arteries image.
Further, extraction module extracts the skeleton line of target blood section from received three dimensional CT A image, comprising:
From the intracranial vessel image of close blood vessel surface to be intercepted, beginning and end is chosen, arbitrarily with the starting point
It is target blood section with the vessel segment that terminal is chosen, the beginning and end is the beginning and end of target blood section.
At least one above-mentioned technical solution that the embodiment of the present application uses can reach following effective effect: the program is realized
The vessel segment image local of three dimensional CT A image is intercepted, convenient for entocranial artery vessel segment material objectization, intervene surgical simulation and
Related teaching appliance production.
Detailed description of the invention
Fig. 1 is that a kind of process of the intercept method of the intracranial vessel image based on center line provided by the embodiments of the present application is shown
It is intended to；
Fig. 2 is image before a kind of interception of the intracranial vessel image based on center line provided by the embodiments of the present application；
Fig. 3 is image after a kind of interception of the intracranial vessel image based on center line provided by the embodiments of the present application；
Fig. 4 is that a kind of process of the intercepting system of the intracranial vessel image based on center line provided by the embodiments of the present application is shown
It is intended to.
Specific embodiment
The embodiment of the present application provides the intercept method and system of a kind of intracranial vessel image based on center line, to solve
The partial cut away problem of the vessel segment image of intracranial vessel image.
Referring to Fig. 1, the intercept method of this application provides a kind of intracranial vessel image based on center line, comprising:
S101: from received three dimensional CT A image, it is partitioned into three-dimensional intracranial aneurysm blood-vessel image；
S103: from intracranial vessel image to be intercepted, the skeleton line of target blood section is extracted, and choose target blood section
Beginning and end；
S105: the shortest path of the beginning and end of target blood section described in the skeleton line computation based on the target blood section
Diameter determines the center line and radius of target blood section；
S107: center line and radius based on the target blood section intercept the target blood of the intracranial vessel image
Section.
The embodiment of the present application is by being partitioned into three-dimensional entocranial artery blood-vessel image from received three dimensional CT A image；From to
On the intracranial vessel image of interception, the skeleton line of target blood section is extracted, and choose the beginning and end of target blood section；It is based on
The shortest path of the beginning and end of target blood section described in the skeleton line computation of the target blood section, determines target blood section
Center line and radius；Based on the center line and radius of the target blood section, the target blood of the intracranial vessel image is intercepted
Pipeline section, to realize to the vessel segment image local interception in intracranial vessel image, convenient for the material object of entocranial artery vessel segment
Change, intervention surgical simulation and related teaching appliance make.
In the embodiment of the present application, from received three dimensional CT A image, it is partitioned into three-dimensional entocranial artery blood-vessel image, comprising:
From received three dimensional CT A image, selected seed point and the tonal range for determining needs；
Binaryzation is carried out to three dimensional CT A image, bianry image is obtained, by vessel enhancement filter to entocranial artery blood vessel
The bianry image in region is enhanced, and enhancing figure is obtained；
Schemed based on enhancing, three dimensional CT A image is split.
If having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery blood is divided by region-growing method
Pipe image；
If not having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional encephalic is divided by section binary segmentation method
Arteries image.
In the embodiment of the present application, from intracranial vessel image to be intercepted, the beginning and end of target blood section, packet are chosen
It includes:
From the intracranial vessel image of close blood vessel surface to be intercepted, beginning and end is chosen, arbitrarily with the starting point
It is target blood section with the vessel segment that terminal is chosen, the beginning and end is the beginning and end of target blood section.
In the embodiment of the present application, intracranial vessel image to be intercepted is the image being cut into from 3-D image, is used
3-D image is in order to carrying out 3D printing.The mode that the intracranial vessel image to be intercepted of CTA image obtains, specifically: fusion
Vessel enhancement filter, section binary segmentation method and region growing method realize the segmentation of entocranial artery blood-vessel image.
The selection of above-mentioned beginning and end is also possible to be not limited to the intracranial vessel image close to blood vessel surface, certainly may be used
To be internal blood vessel, depending on actual conditions, the restriction of the application is not constituted.
The extraction of skeleton line is described below.The refinement of image is also named in the extraction of skeleton line, and so-called skeleton can be understood as figure
The axis of picture.So-called refinement is to remove some points from original figure, keeps original shape, the practical bone for being just to maintain original image
Frame.Refining common algorithm is look-up table.There are mainly two types of methods for the extraction of skeleton: the first is simulated based on raging fire, it is contemplated that
In synchronization, the edge line of target is all lighted, fiery forward position is at the uniform velocity internally to spread, and when forward position intersection, flame is put out
It goes out, the set of fray-out of flame point is exactly skeleton；Second is based on maximum disk, and the skeleton of target is by inscribes all in target
The center of circle of disk forms.
Therefore, the above-mentioned beginning and end based on the target blood section, on the skeleton line of the extraction described in calculating
The shortest path of starting point and the terminal determines the center line of target blood section, specifically: using the method simulated based on raging fire
Extract the skeleton line of target blood section；The shortest path of the starting point and the terminal is calculated on the skeleton line of target blood section
Determine the center line of target blood section.It, will be in entocranial artery blood-vessel image to be intercepted along center line from origin-to-destination direction
Pixel in the certain distance put on distance center line retains, and the pixel beyond certain distance is reset, to realize starting point
The interception of vessel segment image between terminal.Such as: it can be a certain section of major blood vessel section image of interception, be also possible to intercept a certain
Branch vessel section image.Center line is exactly to remove some subtle unwanted bifurcated skeleton lines on the basis of skeleton line in fact
Skeleton line afterwards.
It is the entocranial artery blood-vessel image before interception referring to fig. 2, based on the target blood in Fig. 2 in the embodiment of the present application
The center line and radius of section, intercept the target blood section of the intracranial vessel image, are the entocranial artery blood after interception referring to Fig. 3
Pipeline section image, concrete operations include:
Based on the beginning and end of the target blood section, the most short of the starting point and the terminal is calculated on skeleton line
Path determines the center line of target blood section, based on the center line and radius of the target blood section, intercepts the intracranial vessel
The target blood section of image；
Depending on the radius of above-mentioned target blood section determines according to specific needs, such as: radius is 3 millimeters, needed for being truncated to
The blood-vessel image wanted, so that it may；Such as: radius is 3 millimeters, it cannot be guaranteed that being truncated to required blood vessel, is also possible to 4 millis
Rice.Therefore, depending on the selection as the case may be of radius, the restriction of the application is not constituted.
Based on the above situation, the center line and radius of the target blood section obtained, so as to intercept out target blood section.
When intercepting vessel segment, from origin-to-destination along the center line of target blood section, centainly to intercept radius, node-by-node algorithm artery
In blood-vessel image with a distance from center line, distance intercept the arteries image data within radius be retained, other arteries
Blood-vessel image data are then reset, and so, are achieved that the interception of target blood section image data.
It is illustrated below with reference to a complete embodiment.
Step 1: from received three dimensional CT A image, two points of selection on the image of vessel segment are arbitrarily chosen at, respectively
For beginning and end, the vessel segment between beginning and end is target blood section.
Step 2: the skeleton line of target blood section is extracted using the method for raging fire simulation or maximum disk.
Step 3: the skeleton line based on the extraction calculates the shortest path between the beginning and end along skeleton line
Diameter is determined as the center line of target blood section.
Step 4: the radius along center line interception target blood section is determined.
Step 5: center line and radius based on the target blood section are intercepted along center line, intercept out
Vessel segment is exactly target blood section.
Accordingly, referring to fig. 4, the intercepting system of this application provides a kind of intracranial vessel image based on center line, packet
It includes:
Extraction module 401 for extracting the skeleton line of target blood section from received three dimensional CT A image, and chooses mesh
Mark the beginning and end of vessel segment；
Determining module 403, for target blood section described in the skeleton line computation based on the target blood section starting point and
The shortest path of terminal determines the center line and radius of target blood section；
Interception module 405 intercepts the intracranial vessel image for center line and radius based on the target blood section
Target blood section.
In the embodiment of the present application, extraction module 401 extracts the skeleton of target blood section from received three dimensional CT A image
Line, and choose the beginning and end of target blood section, comprising:
From received three dimensional CT A image, selected seed point and the tonal range for determining needs；
Binaryzation is carried out to three dimensional CT A image, bianry image is obtained, by vessel enhancement filter to entocranial artery blood vessel
The bianry image in region is enhanced, and enhancing figure is obtained；
Schemed based on enhancing, three dimensional CT A image is split.
If having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery blood is divided by region-growing method
Pipe image；
If not having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional encephalic is divided by section binary segmentation method
Arteries image.
In the embodiment of the present application, extraction module 401 chooses target blood section from intracranial vessel image to be intercepted
Beginning and end, comprising:
From the intracranial vessel image of close blood vessel surface to be intercepted, beginning and end is chosen, arbitrarily with the starting point
It is target blood section with the vessel segment that terminal is chosen, the beginning and end is the beginning and end of target blood section.
At least one above-mentioned technical solution that the embodiment of the present application uses can reach following effective effect: from received three
In Victoria C TA image, it is partitioned into three-dimensional entocranial artery blood-vessel image；From intracranial vessel image to be intercepted, target blood is extracted
The skeleton line of section, and choose the beginning and end of target blood section；Mesh described in skeleton line computation based on the target blood section
The shortest path for marking the beginning and end of vessel segment, determines the center line and radius of target blood section；Based on the target blood
The center line and radius of section, intercept the target blood section of the intracranial vessel image.The program is realized to intracranial vessel image
In vessel segment image local interception, convenient for entocranial artery vessel segment material objectization, intervene surgical simulation and correlation teaching appliance
Production.
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
Various embodiments are described in a progressive manner in the application, same and similar part between each embodiment
It may refer to each other, each embodiment focuses on the differences from other embodiments.Especially for device, set
For standby and medium class embodiment, since it is substantially similar to the method embodiment, so being described relatively simple, related place ginseng
The part explanation for seeing embodiment of the method, just no longer repeats one by one here.
It is above-mentioned that the application specific embodiment is described.Other embodiments are within the scope of the appended claims.
In some cases, the movement or step recorded in detail in the claims or module can be according to the sequences being different from embodiment
To execute and still may be implemented desired result.In addition, process depicted in the drawing not necessarily require show it is specific
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also
Can with or may be advantageous.
In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example,
Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So
And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit.
Designer nearly all obtains corresponding hardware circuit by the way that improved method flow to be programmed into hardware circuit.Cause
This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device
(Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate
Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by user.By designer
Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD, designs and makes without asking chip maker
Dedicated IC chip.Moreover, nowadays, substitution manually makes IC chip, this programming is also used instead mostly " is patrolled
Volume compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development,
And the source code before compiling also write by handy specific programming language, this is referred to as hardware description language
(Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL
(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description
Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL
(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby
Hardware Description Language) etc., VHDL (Very-High-Speed is most generally used at present
Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also answer
This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages,
The hardware circuit for realizing the logical method process can be readily available.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing
The computer for the computer readable program code (such as software or firmware) that device and storage can be executed by (micro-) processor can
Read medium, logic gate, switch, specific integrated circuit (Application Specific Integrated Circuit,
ASIC), the form of programmable logic controller (PLC) and insertion microcontroller, the example of controller includes but is not limited to following microcontroller
Device: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320 are deposited
Memory controller is also implemented as a part of the control logic of memory.It is also known in the art that in addition to
Pure computer readable program code mode is realized other than controller, can be made completely by the way that method and step is carried out programming in logic
Controller is obtained to come in fact in the form of logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and insertion microcontroller etc.
Existing identical function.Therefore this controller is considered a kind of hardware component, and to including for realizing various in it
The device of function can also be considered as the structure in hardware component.Or even, it can will be regarded for realizing the device of various functions
For either the software module of implementation method can be the structure in hardware component again.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when the embodiment of application.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), the data letter number and carrier wave of such as modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that embodiment one or more in the application can provide as method, system or meter
Calculation machine program product.Therefore, embodiments herein can be used complete hardware embodiment, complete software embodiment or combine software
With the form of hardware aspect.Moreover, it wherein includes that computer can use journey that embodiments herein, which can be used in one or more,
Implement in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of sequence code
Computer program product form.
Embodiments herein can describe in the general context of computer-executable instructions executed by a computer,
Such as program module.Generally, program module includes routine, the journey for executing particular transaction or realizing particular abstract data type
Sequence, object, component, data structure etc..Embodiments herein can also be practiced in a distributed computing environment, in these points
Cloth calculates in environment, by executing affairs by the connected remote processing devices of communication network.In distributed computing ring
In border, program module can be located in the local and remote computer storage media including storage equipment.
Various embodiments are described in a progressive manner in the application, same and similar part between each embodiment
It may refer to each other, each embodiment focuses on the differences from other embodiments.Implement especially for system
For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part illustrates.
The above description is only an example of the present application, is not intended to limit this application.For those skilled in the art
For, embodiments herein can have various modifications and variations.All institutes within the spirit and principle of embodiments herein
Any modification, equivalent substitution, improvement and etc. of work, should be included among the interest field of the application.
Claims (8)
1. a kind of intercept method of the intracranial vessel image based on center line characterized by comprising
From received three dimensional CT A image, it is partitioned into three-dimensional entocranial artery blood-vessel image；
From intracranial vessel image to be intercepted, extract target blood section skeleton line, and choose target blood section starting point and
Terminal；
The shortest path of the beginning and end of target blood section described in skeleton line computation based on the target blood section, determines mesh
Mark the center line and radius of vessel segment；
Based on the center line and radius of the target blood section, the target blood section of the intracranial vessel image is intercepted.
2. the method as described in claim 1, which is characterized in that it is described from received three dimensional CT A image, it is partitioned into three-dimensional cranium
Interior arteries image, comprising:
From received three dimensional CT A image, selected seed point and the tonal range for determining needs；
Binaryzation is carried out to three dimensional CT A image, bianry image is obtained, by vessel enhancement filter to entocranial artery angiosomes
Bianry image enhanced, obtain enhancing figure；
Schemed based on enhancing, three dimensional CT A image is split.
3. method according to claim 2, which is characterized in that it is described that three dimensional CT A image is split based on enhancing figure,
Include:
If having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery vessel graph is divided by region-growing method
Picture；
If not having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery is divided by section binary segmentation method
Blood-vessel image.
4. the method as described in claim 1, which is characterized in that from intracranial vessel image to be intercepted, choose target blood
The beginning and end of section, comprising:
From the intracranial vessel image of close blood vessel surface to be intercepted, beginning and end is chosen, arbitrarily with the starting point and end
The vessel segment that point is chosen is target blood section, and the beginning and end is the beginning and end of target blood section.
5. a kind of intercepting system of the intracranial vessel image based on center line characterized by comprising
Extraction module extracts the skeleton line of target blood section, and choose target blood section from received three dimensional CT A image
Beginning and end；
Determining module, the shortest path of the beginning and end of target blood section described in the skeleton line computation based on the target blood section
Diameter determines the center line and radius of target blood section；
Interception module intercepts the target blood of the intracranial vessel image based on the center line and radius of the target blood section
Section.
6. system as claimed in claim 5, which is characterized in that the extraction module is mentioned from received three dimensional CT A image
The skeleton line of target blood section is taken, and chooses the beginning and end of target blood section, comprising:
From received three dimensional CT A image, selected seed point and the tonal range for determining needs；
Binaryzation is carried out to three dimensional CT A image, bianry image is obtained, by vessel enhancement filter to entocranial artery angiosomes
Bianry image enhanced, obtain enhancing figure；
Schemed based on enhancing, three dimensional CT A image is split.
7. system as claimed in claim 6, which is characterized in that it is described that three dimensional CT A image is split based on enhancing figure,
Include:
If having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery vessel graph is divided by region-growing method
Picture；
If not having seed point in three dimensional CT A image, based on enhancing figure, three-dimensional entocranial artery is divided by section binary segmentation method
Blood-vessel image.
8. system as claimed in claim 6, which is characterized in that extraction module extracts mesh from received three dimensional CT A image
Mark the skeleton line of vessel segment, comprising:
From the intracranial vessel image of close blood vessel surface to be intercepted, beginning and end is chosen, arbitrarily with the starting point and end
The vessel segment that point is chosen is target blood section, and the beginning and end is the beginning and end of target blood section.
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