CN109389637A - A kind of measurement method and system of the Morphologic Parameters of intracranial aneurysm image - Google Patents

A kind of measurement method and system of the Morphologic Parameters of intracranial aneurysm image Download PDF

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CN109389637A
CN109389637A CN201811260357.8A CN201811260357A CN109389637A CN 109389637 A CN109389637 A CN 109389637A CN 201811260357 A CN201811260357 A CN 201811260357A CN 109389637 A CN109389637 A CN 109389637A
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intracranial aneurysm
image
tumor
neck
measurement
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CN109389637B (en
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王文智
冯雪
宋凌
杨光明
秦岚
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Strong Joint Creation (beijing) Technology Co Ltd
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Strong Joint Creation (beijing) Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/66Analysis of geometric attributes of image moments or centre of gravity
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30101Blood vessel; Artery; Vein; Vascular

Abstract

This specification embodiment provides the measurement method and system of a kind of Morphologic Parameters of intracranial aneurysm image.This specification embodiment solves the problems, such as that the morphological measurement of intracranial aneurysm image cannot achieve all automatic measurement, measurement consistency is difficult to ensure by the measurement of the Morphologic Parameters of intracranial aneurysm image.The measurement method includes: to obtain encephalic to carry the center line of tumor blood vessel, the intracranial aneurysm image of segmentation and encephalic load tumor blood-vessel image;Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, calculates Aneurysmal neck center;The measurement of the Morphologic Parameters of intracranial aneurysm image.The measurement method and system of the Morphologic Parameters for the intracranial aneurysm image that this specification embodiment provides, it can be realized the automation of intracranial aneurysm image measurement, the quickly Morphologic Parameters of measurement intracranial aneurysm image, guarantee the consistency of the morphological measurement result of aneurysm image.

Description

A kind of measurement method and system of the Morphologic Parameters of intracranial aneurysm image
Technical field
This specification is related to field of medical imaging more particularly to a kind of measurement of the Morphologic Parameters of intracranial aneurysm image Method and system.
Background technique
Intracranial aneurysm is a kind of strumae of the arterial wall caused by the expansion of the local anomaly of entocranial artery inner cavity, is one The common vascular conditions of kind.It is reported that encephalic Unruptured aneurysm illness rate in China adult is up to 7%, made after rupture At subarachnoid hemorrhage, handicap or death can lead to.National statistics office data is shown within 2014, and acute cerebrovascular disease is The second largest cause of death of China human mortality.Aneurismal subarachnoid hemorrhage be after in ischemic cerebral apoplexy and hypertensive cerebral hemorrhage it The most common acute cerebrovascular diseases afterwards, dead residual rate are up to 64%, about 15% patient's pre hospital time, different economy level of development The Level of first-aid treatment in area is widely different, has become one of the most common reason for causing China's death.It can be seen that not breaking Split the wind that is timely and effectively can significantly reducing the following disease hair of aneurysm carrier of aneurysm screening and prevention work Danger.
In the prior art, the measurement of intracranial aneurysm image, using computer manual measurement, is surveyed substantially by there is experience personnel Measure speed it is slow, measurement result randomness is big, and accuracy is undesirable, and which can only measure simple parameter, as line segment away from From;For complex parameters, such as volume or angle, then manual measurement is very inconvenient, and accuracy is difficult to ensure.Aneurysm measurement Improve, mainly simulation modelling or the improvement of traditional manual measurement method, cannot achieve aneurysm morphology parameter it is complete from The measurement of flowing mode, its consistency are difficult to ensure.
Therefore, it is necessary to a kind of automated process of the morphological measurement of intracranial aneurysm image, being capable of rapid survey cranium Internal aneurysm Morphologic Parameters.
Summary of the invention
This specification embodiment provides the measurement method and system of a kind of Morphologic Parameters of intracranial aneurysm image, is used for It solves following technical problem: can quickly measure the Morphologic Parameters of intracranial aneurysm image, guarantee aneurysm morphology ginseng The consistency of number measurement result.
In order to solve the above technical problems, this specification embodiment is achieved in that
A kind of measurement method of the Morphologic Parameters for intracranial aneurysm image that this specification embodiment provides, including it is following Step:
It obtains encephalic and carries the center line of tumor blood vessel, the intracranial aneurysm image of segmentation and encephalic load tumor blood-vessel image;
Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, calculates Aneurysmal neck center;
The measurement of the Morphologic Parameters of intracranial aneurysm image.
Further, intracranial aneurysm surface, the intracranial aneurysm table are generated using the intracranial aneurysm image of segmentation Face carries tumor blood vessel surface with the encephalic and intersects, and intersection is tumor neck;
According to the tumor neck, calculate the space geometry center of the tumor neck, using the geometric center as Aneurysmal neck in The heart.
Further,
The distance average at Aneurysmal neck center described in distance on the tumor neck, half using the distance average as tumor neck Diameter, tumor neck diameter are 2 times of tumor neck radius.
The center line of tumor blood vessel is carried along encephalic, confirms shortest path central point, this path center point and the aneurysm The line of tumor neck central point is simultaneously directed toward aneurysmal direction as tumor cervical approach vector.
The maximum distance in Aneurysmal neck center described in distance on the intracranial aneurysm image, as aneurysm diameter.
The maximum distance vertical with the aneurysm diameter on the intracranial aneurysm image, as aneurysm width.
The encephalic carries the angle of tumor blood vessel inflow direction and the aneurysm diameter, as aneurysmal incidence angle.
The product of pixel number and voxel in the intracranial aneurysm image, as aneurysmal volume.
This specification embodiment provides a kind of measuring system of the Morphologic Parameters of intracranial aneurysm image, including to place an order Member:
Input interface carries tumor for the center line of encephalic parent artery blood vessel, the intracranial aneurysm image of segmentation and encephalic The input of blood-vessel image;
Processing workstation realizes the measurement of the Morphologic Parameters of intracranial aneurysm image;
Output unit exports the measurement result of the Morphologic Parameters of intracranial aneurysm image.
Further, the measurement for realizing the Morphologic Parameters of intracranial aneurysm image, specifically includes: obtaining encephalic and carries tumor blood The center line of pipe, the intracranial aneurysm image of segmentation and encephalic carry tumor blood-vessel image;
Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, calculates Aneurysmal neck center;
The measurement of the Morphologic Parameters of intracranial aneurysm image.
Further, intracranial aneurysm surface, the intracranial aneurysm table are generated using the intracranial aneurysm image of segmentation Face carries tumor blood-vessel image with the encephalic and intersects, and intersection is tumor neck;
According to the tumor neck, calculate the space geometry center of the tumor neck, using the geometric center as Aneurysmal neck in The heart.
Further,
The distance average at Aneurysmal neck center described in distance on the tumor neck, half using the distance average as tumor neck Diameter, tumor neck diameter are 2 times of tumor neck radius.
The center line of tumor blood vessel is carried along encephalic, confirms shortest path central point, this path center point and the aneurysm The line of tumor neck central point is simultaneously directed toward aneurysmal direction as tumor cervical approach vector.
The maximum distance in Aneurysmal neck center described in distance on the intracranial aneurysm image, as aneurysm diameter.
The maximum distance vertical with the aneurysm diameter on the intracranial aneurysm image, as aneurysm width.
The encephalic carries the angle of tumor blood vessel inflow direction and the aneurysm diameter, as aneurysmal incidence angle.
The product of pixel number and voxel in the intracranial aneurysm image, as aneurysmal volume.
At least one above-mentioned technical solution that this specification embodiment uses can reach following the utility model has the advantages that this specification Center line of the embodiment based on encephalic parent artery blood vessel, the intracranial aneurysm image of segmentation and encephalic carry tumor blood-vessel image, real Show the automatic measurement of the Morphologic Parameters of intracranial aneurysm image, can quickly measure the morphology of intracranial aneurysm image Parameter guarantees the consistency of the morphological measurement result of intracranial aneurysm image.
Detailed description of the invention
In order to illustrate more clearly of this specification embodiment or technical solution in the prior art, below will to embodiment or Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only The some embodiments recorded in this specification, for those of ordinary skill in the art, in not making the creative labor property Under the premise of, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of measuring method flow chart of the Morphologic Parameters for intracranial aneurysm image that this specification provides;
Fig. 2 is a kind of surface reconstruction flow chart for intracranial aneurysm image that this specification provides;
Fig. 3 is the aneurysm morphology parameter definition schematic diagram that this specification provides;
Fig. 4 is a kind of aneurysm morphology parameter measurement schematic diagram that this specification provides;
Fig. 5 is a kind of measuring system schematic diagram for intracranial aneurysm Morphologic Parameters that this specification provides.
Specific embodiment
In order to make those skilled in the art more fully understand the technical solution in this specification, below in conjunction with this explanation Attached drawing in book embodiment is clearly and completely described the technical solution in this specification embodiment, it is clear that described Embodiment be merely a part but not all of the embodiments of the present application.Based on this specification embodiment, this field Those of ordinary skill's every other embodiment obtained without creative efforts, all should belong to the application The range of protection.
Fig. 1 is a kind of process of the measurement method of the Morphologic Parameters for intracranial aneurysm image that this specification provides. This method comprises:
Step S101: it obtains encephalic and carries the center line of tumor blood vessel, the intracranial aneurysm image of segmentation and encephalic load tumor blood vessel Image.
The morphological parameters of intracranial aneurysm image measure, and often adopt the three-dimensional DICOM data of the DSA or MRA of intracranial aneurysm It measures.DSA (Digital Subtraction Angiography, Technology of Digital Subtraction Angiography) is that one kind penetrates X The technology of visualization of blood vessels in line sequence of pictures.DSA is high with contrast resolution, the review time is short, contrast agent dosage is few, The advantages that concentration is low, patient X-ray's uptake is substantially reduced and saves film, in the clinical diagnosis of blood vessel sufferer, has Highly important meaning.DSA technology is other detection methods institutes in terms of picture quality, judging blood flow direction and advantage It cannot compare, therefore " goldstandard " of referred to as vascular conditions diagnosis.
MRA (Magnetic Resonance Angiography, Magnetic Resonance Angiography) is that one kind makes X-ray sequence chart The technology of visualization of blood vessels in piece.MRA is also gradually used for examining for entocranial artery vascular lesion because of the imaging characteristics of its high quality It is disconnected.
But due to by equipment irradiation orientation limited, DSA the or MRA effect of intracranial aneurysm can only be it is two-dimensional, this two Dimension image is only capable of collecting the Morphologic Parameters index of basic intracranial aneurysm image: size, aspect ratio, aneurysmal inclination Angle etc. cannot achieve the measurement of the Morphologic Parameters of complicated intracranial aneurysm image, such as aneurysmal volume.Three-dimensional configuration The measurement of parameter is learned, it is more meaningful for the research of the Morphologic Parameters of intracranial aneurysm image.
After the three-dimensional DICOM data of DSA or MRA complete the segmentation that encephalic carries tumor blood-vessel image, it can obtain and carry tumor blood vessel Center line, and then carry out intracranial aneurysm image segmentation.Based on center line, the form of intracranial aneurysm image may be implemented Learn the measurement of parameter.
Step S102: aneurysm knurl footpath center is calculated.
Intracranial aneurysm Morphologic Parameters include Aneurysmal neck, aneurysm diameter, aneurysm height, aneurysm width, Aneurysm incident angle, aneurysm volume.Wherein, the key parameter of intracranial aneurysm Morphologic Parameters is Aneurysmal neck center It calculates.Specifically, intracranial aneurysm surface, the intracranial aneurysm surface and institute are generated using the intracranial aneurysm image of segmentation It states encephalic and carries the intersection of tumor blood-vessel image, intersection is tumor neck;According to aforementioned obtained tumor neck, the space geometry of the tumor neck is calculated Center, using the geometric center as Aneurysmal neck center.
Fig. 2 is a kind of surface reconstruction flow chart for intracranial aneurysm image that this specification provides, which includes:
Step 201: the surface reconstruction of intracranial aneurysm image.
This specification realizes three-dimensional surface reconstruct using MC algorithm (MarchingCubes, marching cubes algorithm).MC is calculated The basic thought of method is exactly the small cubes three-dimensional data space delamination regular shape, eight vertex of these small cubes It is made of four pixels each on adjacent layer, handles these small cubes one by one, sort out cube intersected with contour surface Body, and the method for using interpolation calculates the intersection point of contour surface Yu these small cubes sides, finally according to contour surface and these friendships Expression is approached for what these pressed that certain way is formed by connecting a contour surface in the relative position of point.3D resurfacing utilizes 3D Visualization tool Visualization Toolki (VTK) is realized by programming.
Step 202: being smoothed using Windowing Sinc function.
The three-dimensional surface reconstructed using MC algorithm, there are bad, the situations such as data inaccuracy are handled at face joint, therefore It needs to be smoothed.
Step 203: obtaining the surface data of intracranial aneurysm image.
Based on the three-dimensionalreconstruction of above-mentioned MC algorithm, smoothing processing obtains the surface data of intracranial aneurysm image.
Step S103: the measurement of the Morphologic Parameters of intracranial aneurysm image.
Fig. 3 is aneurysm morphology parameter definition schematic diagram provided in an embodiment of the present invention.It specifically includes as follows:
D (aneurysm major diameter): i.e. aneurysm size is that tumor neck midpoint maximum distance is a little arrived on aneurysm top;
H (aneurysm height): the maximum normal distance of Aneurysmal neck line is a little arrived on aneurysm tumor top;
W (aneurysm width): the maximum distance vertical with aneurysm major diameter;
IA (flows into angle): the angle of aneurysmal major diameter and parent artery central axes;
PV (parent artery diameter):
Sidewall portion: PV=(D1+D2)/2;
Furcation: PV=(D1+D2+D3)/3, Di=(Dia+Dib)/2 (i=1,2,3).
In one embodiment of this specification, the measurement of intracranial aneurysm Morphologic Parameters can be real in the following manner It is existing:
Apart from the distance average at Aneurysmal neck center on tumor neck, using the distance average as tumor neck radius, tumor neck Diameter is 2 times of tumor neck radius.
The center line of tumor blood vessel is carried along encephalic, confirms shortest path central point, this path center point and Aneurysmal neck The line of central point is simultaneously directed toward aneurysmal direction as tumor cervical approach vector.
Apart from the maximum distance in Aneurysmal neck center on intracranial aneurysm image, as aneurysm diameter.
The maximum distance vertical with aneurysm diameter on intracranial aneurysm image, as aneurysm width.
Encephalic carries the angle of tumor blood vessel inflow direction and the aneurysm diameter, as aneurysmal incidence angle.
The product of pixel number and voxel in intracranial aneurysm image, as aneurysmal volume.
Fig. 4 is a kind of aneurysm morphology parameter measurement schematic diagram that this specification embodiment provides.Specifically, aneurysm The thinking of parameter measurement is as follows:
In visualization tool VTK, aneurysm surface is intersected with blood vessel surface, is needed the true intersection of the two, cannot be included, It can not be overlapped, it is therefore desirable to after amplifying aneurysm surface data, just may be implemented really to intersect, obtain intersection.It puts When big, entire aneurysm surface data is amplified according to three coordinate directions.Amplified aneurysm surface and original blood Pipe surface intersection, intersection is tumor neck.
According to above-mentioned tumor neck point set, the space geometry center of the point set is calculated, using the geometric center as aneurysm tumor Neck center, which may not be in aneurysm, and calculates the minimum range on the centre distance aneurysm boundary, is denoted as dmin; Then the distance average on tumor neck apart from tumor neck center is calculated, using the distance average as tumor neck radius, tumor neck diameter is 2 times of tumor neck radius.
The calculating of tumor cervical approach vector confirms shortest path central point along the center line of parent artery blood vessel, in this path The line of heart point and tumor neck central point is simultaneously directed toward aneurysmal direction as tumor cervical approach vector.
Projection of the line of point and tumor neck central point in aneurysm on tumor cervical approach vector, takes the maximum value of the projection to make For aneurysmal height calculations, if tumor neck central point, inside aneurysm, which is used as aneurysmal height Degree;If tumor neck central point, outside aneurysm, which subtracts the result of above-mentioned dmin as aneurysm height.
The calculating of aneurysm diameter finds the maximum value in aneurysm with tumor neck central point line as aneurysmal diameter Calculated value, if tumor neck central point, inside aneurysm, which is aneurysm diameter;If tumor neck central point is dynamic Outside arteries and veins tumor, then the diameter calculation value subtracts the result of above-mentioned dmin as aneurysm diameter.
The calculating of aneurysm width needs first to calculate any two points vertical with aneurysm diametrical direction on aneurysm image Line distance takes this apart from maximum value as aneurysm width.
The calculating of aneurysm volume needs first to count the pixel number in aneurysm image, then with pixel number Product with voxel is as aneurysmal volume.
Aneurysm incidence angle calculates, and needs first to calculate on the corresponding center line of parent artery vessel centerline located upstream point Point, the line of the point and above-mentioned path center point and the angle of aneurysm diameter are aneurysm incidence angle.
Fig. 5 is a kind of measuring system of the Morphologic Parameters for intracranial aneurysm image that this specification provides.The system packet It includes:
Input interface: tumor is carried for the center line of encephalic parent artery blood vessel, the intracranial aneurysm image of segmentation and encephalic The input of blood-vessel image;
Processing workstation: the measurement of the Morphologic Parameters of intracranial aneurysm image is realized;
Output unit: the measurement result of the Morphologic Parameters of intracranial aneurysm image is exported.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable 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.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device, For electronic equipment, nonvolatile computer storage media embodiment, since it is substantially similar to the method embodiment, so description It is fairly simple, the relevent part can refer to the partial explaination of embodiments of method.
Device that this specification embodiment provides, electronic equipment, nonvolatile computer storage media with method are corresponding , therefore, device, electronic equipment, nonvolatile computer storage media also have the Advantageous effect similar with corresponding method Fruit, since the advantageous effects of method being described in detail above, which is not described herein again corresponding intrument, The advantageous effects of electronic equipment, nonvolatile computer storage media.
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 specification one or more embodiment.
It should be understood by those skilled in the art that, this specification embodiment can provide as method, system or computer program Product.Therefore, this specification embodiment can be used complete hardware embodiment, complete software embodiment or combine software and hardware The form of the embodiment of aspect.Moreover, it wherein includes that computer is available that this specification embodiment, which can be used in one or more, It is real in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of program code The form for the computer program product applied.
This specification is referring to the method, equipment (system) and computer program product according to this specification embodiment Flowchart and/or the block diagram describes.It should be understood that can be realized by computer program instructions every in flowchart and/or the block diagram The combination of process and/or box in one process and/or box and flowchart and/or the block diagram.It can provide these computers Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices To generate a machine, so that generating use by the instruction that computer or the processor of other programmable data processing devices execute In the dress for realizing the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram It sets.
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), such as the data-signal and carrier wave of 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.
This specification can describe in the general context of computer-executable instructions executed by a computer, such as journey Sequence module.Generally, program module include routines performing specific tasks or implementing specific abstract data types, programs, objects, Component, data structure etc..Specification can also be practiced in a distributed computing environment, in these distributed computing environments, By executing task by the connected remote processing devices of communication network.In a distributed computing environment, program module can To be located in the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality For applying 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 explanation.
The foregoing is merely this specification embodiments, are not intended to limit this application.For those skilled in the art For, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal Replacement, improvement etc., should be included within the scope of the claims of this application.

Claims (17)

1. a kind of measurement method of the Morphologic Parameters of intracranial aneurysm image, which comprises the following steps:
It obtains encephalic and carries the center line of tumor blood vessel, the intracranial aneurysm image of segmentation and encephalic load tumor blood-vessel image;
Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, calculates Aneurysmal neck center;
The measurement of the Morphologic Parameters of intracranial aneurysm image.
2. the method as described in claim 1, which is characterized in that it is dynamic that the intracranial aneurysm image using segmentation generates encephalic Arteries and veins tumor surface calculates Aneurysmal neck center, further comprises:
Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, the intracranial aneurysm surface and the encephalic carry The intersection of tumor blood vessel surface, intersection is tumor neck;
According to the tumor neck, the space geometry center of the tumor neck is calculated, using the geometric center as Aneurysmal neck center.
3. the method as described in claim 1, which is characterized in that the measurement of the Morphologic Parameters of the intracranial aneurysm image, It specifically includes:
The distance average at Aneurysmal neck center described in distance on the tumor neck, using the distance average as tumor neck radius, Tumor neck diameter is 2 times of tumor neck radius.
4. the method as described in claim 1, which is characterized in that the measurement of the Morphologic Parameters of intracranial aneurysm image, specifically Include:
The center line of tumor blood vessel is carried along encephalic, confirms shortest path central point, this path center point and the Aneurysmal neck The line of central point is simultaneously directed toward aneurysmal direction as tumor cervical approach vector.
5. the method as described in claim 1, which is characterized in that the measurement of the Morphologic Parameters of the intracranial aneurysm image, It specifically includes:
The maximum distance in Aneurysmal neck center described in distance on the intracranial aneurysm image, as aneurysm diameter.
6. the method as described in claim 1, which is characterized in that the measurement of the Morphologic Parameters of the intracranial aneurysm image, It specifically includes:
The maximum distance vertical with the aneurysm diameter on the intracranial aneurysm image, as aneurysm width.
7. the method as described in claim 1, which is characterized in that the measurement of the Morphologic Parameters of the intracranial aneurysm image, It specifically includes:
The encephalic carries the angle of tumor blood vessel inflow direction and the aneurysm diameter, as aneurysmal incidence angle.
8. the method as described in claim 1, which is characterized in that the measurement of the Morphologic Parameters of the intracranial aneurysm image, It specifically includes:
The product of pixel number and voxel in the intracranial aneurysm image, as aneurysmal volume.
9. a kind of measuring system of the Morphologic Parameters of intracranial aneurysm image, which is characterized in that including with lower unit:
Input interface carries tumor blood vessel for the center line of encephalic parent artery blood vessel, the intracranial aneurysm image of segmentation and encephalic The input of image;
Processing workstation realizes the measurement of the Morphologic Parameters of intracranial aneurysm image;
Output unit exports the measurement result of the Morphologic Parameters of intracranial aneurysm image.
10. system as claimed in claim 9, which is characterized in that the Morphologic Parameters for realizing intracranial aneurysm image Measurement, specifically includes:
It obtains encephalic and carries the center line of tumor blood vessel, the intracranial aneurysm image of segmentation and encephalic load tumor blood-vessel image;
Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, calculates Aneurysmal neck center;
The measurement of the Morphologic Parameters of intracranial aneurysm image.
11. system as claimed in claim 10, which is characterized in that the intracranial aneurysm image using segmentation generates encephalic Aneurysm surface calculates Aneurysmal neck center, further comprises:
Intracranial aneurysm surface is generated using the intracranial aneurysm image of segmentation, the intracranial aneurysm surface and the encephalic carry The intersection of tumor blood vessel surface, intersection is tumor neck;
According to the tumor neck, the space geometry center of the tumor neck is calculated, using the geometric center as Aneurysmal neck center.
12. system as claimed in claim 10, which is characterized in that the survey of the Morphologic Parameters of the intracranial aneurysm image Amount, specifically includes:
The distance average at Aneurysmal neck center described in distance on the tumor neck, using the distance average as tumor neck radius, Tumor neck diameter is 2 times of tumor neck radius.
13. system as claimed in claim 10, which is characterized in that the measurement of the Morphologic Parameters of intracranial aneurysm image, tool Body includes:
The center line of tumor blood vessel is carried along encephalic, confirms shortest path central point, this path center point and the Aneurysmal neck The line of central point is simultaneously directed toward aneurysmal direction as tumor cervical approach vector.
14. system as claimed in claim 11, which is characterized in that the survey of the Morphologic Parameters of the intracranial aneurysm image Amount, specifically includes:
The maximum distance in Aneurysmal neck center described in distance on the intracranial aneurysm image, as aneurysm diameter.
15. system as claimed in claim 10, which is characterized in that the survey of the Morphologic Parameters of the intracranial aneurysm image Amount, specifically includes:
The maximum distance vertical with the aneurysm diameter on the intracranial aneurysm image, as aneurysm width.
16. system as claimed in claim 10, which is characterized in that the survey of the Morphologic Parameters of the intracranial aneurysm image Amount, specifically includes:
The encephalic carries the angle of tumor blood vessel inflow direction and the aneurysm diameter, as aneurysmal incidence angle.
17. system as claimed in claim 10, which is characterized in that the survey of the Morphologic Parameters of the intracranial aneurysm image Amount, specifically includes:
The product of pixel number and voxel in the intracranial aneurysm image, as aneurysmal volume.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109924956A (en) * 2019-04-19 2019-06-25 广州新脉科技有限公司 A kind of measurement method and device of the Morphologic Parameters of intracranial aneurysm image
WO2020083374A1 (en) * 2018-10-26 2020-04-30 Union Strong (Beijing) Technology Co. Ltd. Method and system for measuring morphological parameters of an intracranial aneurysm image
CN114266767A (en) * 2022-01-27 2022-04-01 深圳市铱硙医疗科技有限公司 Method and device for measuring morphological parameters of intracranial aneurysm image
CN114782443A (en) * 2022-06-22 2022-07-22 深圳科亚医疗科技有限公司 Device and storage medium for data-based enhanced aneurysm risk assessment
CN115227274A (en) * 2022-09-19 2022-10-25 南京邮电大学 Deep learning-based aneurysm detection method
CN115953457A (en) * 2023-03-14 2023-04-11 杭州脉流科技有限公司 Method and computer device for recommending first spring coil

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060184066A1 (en) * 2005-02-15 2006-08-17 Baylor College Of Medicine Method for aiding stent-assisted coiling of intracranial aneurysms by virtual parent artery reconstruction
CN1973301A (en) * 2004-06-23 2007-05-30 皇家飞利浦电子股份有限公司 Image processing system for displaying information relating to parameters of a 3-D tubular object
CN101290685A (en) * 2007-04-20 2008-10-22 美国西门子医疗解决公司 Coronary artery three-dimensional modeling
CN101923607A (en) * 2010-09-01 2010-12-22 冯睿 Blood vessel computer aided iconography evaluating system
CN102239495A (en) * 2008-12-04 2011-11-09 皇家飞利浦电子股份有限公司 A method, apparatus, and computer program product for acquiring medical image data
US20120323547A1 (en) * 2011-06-20 2012-12-20 Siemens Corporation Method for intracranial aneurysm analysis and endovascular intervention planning
US20150238199A1 (en) * 2014-02-27 2015-08-27 Incumedx, Inc. Embolic framing microcoils
CN105902291A (en) * 2016-04-08 2016-08-31 张小曦 Intracranial aneurysm interventional closure treatment device
CN107273658A (en) * 2017-05-16 2017-10-20 哈尔滨医科大学 Rupture of intracranial aneurysm risk is estimated and its device that image is classified
CN107468334A (en) * 2017-08-01 2017-12-15 强联智创(北京)科技有限公司 A kind of moulding aided design system of three-dimensional microtubular and design method
CN107847207A (en) * 2015-07-09 2018-03-27 Pentas股份有限公司 Blood-vessel image processing unit, blood-vessel image processing routine and blood-vessel image processing method
CN108030550A (en) * 2017-12-26 2018-05-15 成都真实维度科技有限公司 A kind of aneurysmal knurl neck angle computation method based on virtual image

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1973301A (en) * 2004-06-23 2007-05-30 皇家飞利浦电子股份有限公司 Image processing system for displaying information relating to parameters of a 3-D tubular object
US20060184066A1 (en) * 2005-02-15 2006-08-17 Baylor College Of Medicine Method for aiding stent-assisted coiling of intracranial aneurysms by virtual parent artery reconstruction
CN101290685A (en) * 2007-04-20 2008-10-22 美国西门子医疗解决公司 Coronary artery three-dimensional modeling
CN102239495A (en) * 2008-12-04 2011-11-09 皇家飞利浦电子股份有限公司 A method, apparatus, and computer program product for acquiring medical image data
CN101923607A (en) * 2010-09-01 2010-12-22 冯睿 Blood vessel computer aided iconography evaluating system
US20120323547A1 (en) * 2011-06-20 2012-12-20 Siemens Corporation Method for intracranial aneurysm analysis and endovascular intervention planning
US20150238199A1 (en) * 2014-02-27 2015-08-27 Incumedx, Inc. Embolic framing microcoils
CN107847207A (en) * 2015-07-09 2018-03-27 Pentas股份有限公司 Blood-vessel image processing unit, blood-vessel image processing routine and blood-vessel image processing method
CN105902291A (en) * 2016-04-08 2016-08-31 张小曦 Intracranial aneurysm interventional closure treatment device
CN107273658A (en) * 2017-05-16 2017-10-20 哈尔滨医科大学 Rupture of intracranial aneurysm risk is estimated and its device that image is classified
CN107468334A (en) * 2017-08-01 2017-12-15 强联智创(北京)科技有限公司 A kind of moulding aided design system of three-dimensional microtubular and design method
CN108030550A (en) * 2017-12-26 2018-05-15 成都真实维度科技有限公司 A kind of aneurysmal knurl neck angle computation method based on virtual image

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020083374A1 (en) * 2018-10-26 2020-04-30 Union Strong (Beijing) Technology Co. Ltd. Method and system for measuring morphological parameters of an intracranial aneurysm image
CN109924956A (en) * 2019-04-19 2019-06-25 广州新脉科技有限公司 A kind of measurement method and device of the Morphologic Parameters of intracranial aneurysm image
CN109924956B (en) * 2019-04-19 2022-03-18 广州新脉科技有限公司 Method and device for measuring morphological parameters of intracranial aneurysm image
CN114266767A (en) * 2022-01-27 2022-04-01 深圳市铱硙医疗科技有限公司 Method and device for measuring morphological parameters of intracranial aneurysm image
CN114266767B (en) * 2022-01-27 2022-08-23 深圳市铱硙医疗科技有限公司 Method and device for measuring morphological parameters of intracranial aneurysm image
CN114782443A (en) * 2022-06-22 2022-07-22 深圳科亚医疗科技有限公司 Device and storage medium for data-based enhanced aneurysm risk assessment
CN115227274A (en) * 2022-09-19 2022-10-25 南京邮电大学 Deep learning-based aneurysm detection method
CN115227274B (en) * 2022-09-19 2022-11-25 南京邮电大学 Aneurysm detection system based on deep learning
CN115953457A (en) * 2023-03-14 2023-04-11 杭州脉流科技有限公司 Method and computer device for recommending first spring coil

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