CN109389637B

CN109389637B - Method and system for measuring morphological parameters of intracranial aneurysm image

Info

Publication number: CN109389637B
Application number: CN201811260357.8A
Authority: CN
Inventors: 王文智; 冯雪; 宋凌; 杨光明; 秦岚
Original assignee: Union Strong Beijing Technology Co ltd
Current assignee: Union Strong Beijing Technology Co ltd
Priority date: 2018-10-26
Filing date: 2018-10-26
Publication date: 2021-12-21
Anticipated expiration: 2038-10-26
Also published as: CN109389637A

Abstract

The embodiment of the specification provides a method and a system for measuring morphological parameters of an intracranial aneurysm image. The embodiment of the specification solves the problems that the morphological parameter measurement of the intracranial aneurysm image cannot realize full-automatic measurement and the measurement consistency is difficult to guarantee through the measurement of the morphological parameter of the intracranial aneurysm image. The measuring method comprises the following steps: acquiring a central line of an intracranial tumor-carrying blood vessel, a segmented intracranial aneurysm image and an intracranial tumor-carrying blood vessel image; generating the surface of the intracranial aneurysm by utilizing the segmented intracranial aneurysm image, and calculating the neck center of the aneurysm; measurement of morphological parameters of intracranial aneurysm images. The method and the system for measuring the morphological parameters of the intracranial aneurysm image, provided by the embodiment of the specification, can realize automation of intracranial aneurysm image measurement, quickly measure the morphological parameters of the intracranial aneurysm image, and ensure consistency of measurement results of the morphological parameters of the aneurysm image.

Description

Method and system for measuring morphological parameters of intracranial aneurysm image

Technical Field

The present disclosure relates to the field of medical imaging, and in particular, to a method and a system for measuring morphological parameters of an intracranial aneurysm image.

Background

Intracranial aneurysms are a neoplastic protrusion of the arterial wall caused by local abnormal dilation of the intracranial arterial lumen, a common vascular disease. Intracranial unbroken aneurysms are reported to have a prevalence of up to 7% in adults in our country, and post-rupture subarachnoid hemorrhage can lead to severe disability or death. The data of the national statistical office in 2014 show that the acute cerebrovascular disease is the second leading cause of death in the population of China. Aneurysmal subarachnoid hemorrhage is the most common acute cerebrovascular disease after cerebral arterial thrombosis and hypertensive cerebral hemorrhage, the death rate is up to 64 percent, about 15 percent of patients die before hospital, and the treatment levels in different economic development level areas are greatly different, so the subarachnoid hemorrhage becomes one of the most common reasons causing death of residents in China. Therefore, the timely and effective screening and prevention work of the unbroken aneurysm can greatly reduce the risk of future disease of the aneurysm carrier.

In the prior art, the measurement of an intracranial aneurysm image basically depends on experienced personnel, manual measurement is carried out by utilizing a computer, the measurement speed is low, the randomness of the measurement result is high, the accuracy is not ideal, and only simple parameters such as line segment distance can be measured by the method; for complex parameters such as volume or angle, manual measurement is very inconvenient, and accuracy is difficult to guarantee. The improvement of aneurysm measurement, mainly simulation modeling or the improvement of traditional manual measurement mode, can't realize the measurement of full-automatic mode of aneurysm morphological parameter, and its uniformity is difficult to guarantee.

Therefore, there is a need for an automated method of morphological parameter measurement of images of intracranial aneurysms that can quickly measure morphological parameters of intracranial aneurysms.

Disclosure of Invention

The embodiment of the specification provides a method and a system for measuring morphological parameters of an intracranial aneurysm image, which are used for solving the following technical problems: the method can quickly measure the morphological parameters of the intracranial aneurysm image and ensure the consistency of the measurement results of the morphological parameters of the aneurysm.

In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:

the method for measuring the morphological parameters of the intracranial aneurysm image provided by the embodiment of the specification comprises the following steps:

acquiring a central line of an intracranial tumor-carrying blood vessel, a segmented intracranial aneurysm image and an intracranial tumor-carrying blood vessel image;

generating the surface of the intracranial aneurysm by utilizing the segmented intracranial aneurysm image, and calculating the neck center of the aneurysm;

measurement of morphological parameters of intracranial aneurysm images.

Further, generating an intracranial aneurysm surface by utilizing the segmented intracranial aneurysm image, wherein the intracranial aneurysm surface is intersected with the surface of the intracranial aneurysm-carrying blood vessel, and the intersection is the tumor neck;

and calculating the space geometric center of the tumor neck according to the tumor neck, and taking the geometric center as the center of the aneurysm neck.

Further, the air conditioner is provided with a fan,

and taking the average distance value from the tumor neck to the center of the aneurysm neck as the radius of the tumor neck, wherein the diameter of the tumor neck is 2 times of the radius of the tumor neck.

And confirming the central point of the shortest path along the central line of the intracranial tumor-carrying blood vessel, wherein the connecting line of the central point of the path and the central point of the aneurysm neck and the direction pointing to the aneurysm is used as a normal vector of the aneurysm neck.

And taking the maximum distance from the neck center of the aneurysm on the intracranial aneurysm image as the diameter of the aneurysm.

The maximum distance on the intracranial aneurysm image perpendicular to the aneurysm diameter is taken as the aneurysm width.

And the included angle between the inflow direction of the intracranial tumor-carrying blood vessel and the diameter of the aneurysm is used as the incident angle of the aneurysm.

And taking the product of the number of pixel points and the number of voxels in the intracranial aneurysm image as the volume of the aneurysm.

The embodiment of the specification provides a system for measuring morphological parameters of an intracranial aneurysm image, which comprises the following units:

the input interface is used for inputting the central line of the intracranial tumor-bearing artery blood vessel, the segmented intracranial aneurysm image and the intracranial tumor-bearing blood vessel image;

the processing workstation is used for measuring morphological parameters of the intracranial aneurysm image;

and the output unit is used for outputting the measurement result of the morphological parameters of the intracranial aneurysm image.

Further, the measurement of morphological parameters of the intracranial aneurysm image is realized, which specifically comprises: acquiring a central line of an intracranial tumor-carrying blood vessel, a segmented intracranial aneurysm image and an intracranial tumor-carrying blood vessel image;

measurement of morphological parameters of intracranial aneurysm images.

Further, generating an intracranial aneurysm surface by utilizing the segmented intracranial aneurysm image, wherein the intracranial aneurysm surface is intersected with the intracranial aneurysm-carrying blood vessel image, and the intersection is the tumor neck;

Further, the air conditioner is provided with a fan,

The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects: the embodiment of the specification realizes automatic measurement of morphological parameters of the intracranial aneurysm image based on the central line of the intracranial aneurysm-carrying artery blood vessel, the segmented intracranial aneurysm image and the intracranial aneurysm blood vessel image, can quickly measure the morphological parameters of the intracranial aneurysm image, and ensures the consistency of the morphological parameter measurement results of the intracranial aneurysm image.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

Fig. 1 is a flowchart of a method for measuring morphological parameters of an intracranial aneurysm image provided by the present specification;

fig. 2 is a flowchart of a surface reconstruction method for an intracranial aneurysm image provided by the present specification;

FIG. 3 is a schematic diagram illustrating the definition of morphological parameters of an aneurysm provided by the present specification;

FIG. 4 is a schematic diagram of a measurement of morphological parameters of an aneurysm provided by the present specification;

fig. 5 is a schematic view of a system for measuring morphological parameters of an intracranial aneurysm provided by the present specification.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.

Fig. 1 is a flowchart of a method for measuring morphological parameters of an intracranial aneurysm image provided in this specification. The method comprises the following steps:

step S101: acquiring the central line of the intracranial tumor-carrying blood vessel, the segmented intracranial aneurysm image and the intracranial tumor-carrying blood vessel image.

The morphological parameter measurement of the intracranial aneurysm image is usually carried out by taking the three-dimensional DICOM data of DSA or MRA of the intracranial aneurysm. DSA (Digital Subtraction Angiography) is a technique for visualizing blood vessels in X-ray sequence pictures. DSA has the advantages of high contrast resolution, short examination time, small dosage of contrast medium, low concentration, obvious reduction of X-ray absorption of patients, film saving and the like, and has very important significance in clinical diagnosis of vascular diseases. The DSA technique is referred to as "gold standard" for vascular disease diagnosis because it is incomparable with other examination means in terms of image quality, judgment of blood flow direction, and superior blood supply.

MRA (Magnetic Resonance Angiography) is a technique for visualizing blood vessels in X-ray sequence pictures. MRA, because of its high quality imaging characteristics, is also being used gradually for the diagnosis of intracranial arterial vasculopathy.

However, because of the limitation of the irradiation position of the device, the DSA or MRA effect of the intracranial aneurysm can only be two-dimensional, and the two-dimensional image can only acquire the morphological parameter indexes of the basic intracranial aneurysm image: size, aspect ratio, angle of inclination of the aneurysm, etc., do not enable measurement of morphological parameters of complex intracranial aneurysm images, such as the volume of the aneurysm. The measurement of three-dimensional morphological parameters is more meaningful for the research of morphological parameters of intracranial aneurysm images.

After the three-dimensional DICOM data of the DSA or MRA completes the segmentation of the images of the intracranial tumor-carrying blood vessels, the central lines of the tumor-carrying blood vessels can be obtained, and then the images of the intracranial aneurysms are segmented. Based on the centerline, measurement of morphological parameters of the intracranial aneurysm image can be achieved.

Step S102: and calculating the aneurysm diameter center.

Intracranial aneurysm morphological parameters include aneurysm neck, aneurysm diameter, aneurysm height, aneurysm width, aneurysm injection angle, aneurysm volume. Wherein, the key parameter of the morphological parameter of the intracranial aneurysm is the calculation of the neck center of the aneurysm. Specifically, a segmented intracranial aneurysm image is used for generating an intracranial aneurysm surface, the intracranial aneurysm surface is intersected with the intracranial aneurysm-carrying blood vessel image, and the intersection is the tumor neck; and calculating the space geometric center of the tumor neck according to the obtained tumor neck, and taking the geometric center as the center of the aneurysm neck.

Fig. 2 is a flowchart of surface reconstruction of an intracranial aneurysm image, provided by the present specification, the flowchart including:

step 201: surface reconstruction of intracranial aneurysm images.

The three-dimensional surface reconstruction is realized by adopting an MC (marching cubes) algorithm in the specification. The MC algorithm has the basic idea that small cubes with regular hierarchical shapes in a three-dimensional data space are processed one by one, eight vertexes of the small cubes are composed of four pixel points on adjacent layers, the small cubes are classified to be intersected with an isosurface, intersection points of the isosurface and the edges of the small cubes are calculated by adopting an interpolation method, and finally the points are connected in a certain mode to form an approximate representation of the isosurface according to the relative positions of the isosurface and the intersection points. The 3D surface reconstruction is achieved programmatically using the 3D Visualization tool Visualization Toolokki (VTK).

Step 202: and carrying out smoothing processing by utilizing a windowed Sinc function.

The three-dimensional surface reconstructed by the MC algorithm has the situations of poor surface seam processing, inaccurate data and the like, so that smoothing processing is required.

Step 203: surface data of images of intracranial aneurysms are obtained.

And performing three-dimensional reconstruction and smoothing treatment based on the MC algorithm to obtain surface data of the intracranial aneurysm image.

Step S103: measurement of morphological parameters of intracranial aneurysm images.

Fig. 3 is a schematic diagram illustrating the definition of morphological parameters of an aneurysm according to an embodiment of the present invention. The method specifically comprises the following steps:

d (aneurysm major diameter): the size of the aneurysm is the maximum distance from one point at the top of the aneurysm to the midpoint of the neck of the aneurysm;

h (aneurysm height): the maximum vertical distance from one point at the top of the aneurysm to the neck connecting line of the aneurysm;

w (aneurysm width): a maximum distance perpendicular to the aneurysm major axis;

IA (inflow angle): the included angle between the major diameter of the aneurysm and the central axis of the parent artery;

PV (parent artery diameter):

side wall portion: PV ═ (D1+ D2)/2;

a crotch part: PV ═ D1+ D2+ D3)/3, Di ═ Dia + Dib)/2(i ═ 1,2, 3).

In one embodiment of the present description, the measurement of morphological parameters of intracranial aneurysms can be achieved by:

and taking the average distance value from the neck to the center of the aneurysm as the radius of the neck, wherein the diameter of the neck is 2 times of the radius of the neck.

And confirming the central point of the shortest path along the central line of the intracranial tumor-carrying blood vessel, wherein the connecting line of the central point of the path and the central point of the aneurysm neck and the direction pointing to the aneurysm serve as a normal vector of the aneurysm neck.

The maximum distance from the center of the aneurysm neck on the intracranial aneurysm image is taken as the aneurysm diameter.

The maximum distance perpendicular to the aneurysm diameter on the intracranial aneurysm image is taken as the aneurysm width.

The included angle between the inflow direction of the intracranial parent blood vessel and the diameter of the aneurysm is used as the incident angle of the aneurysm.

The product of the number of pixel points and the number of voxels in the intracranial aneurysm image is used as the volume of the aneurysm.

Fig. 4 is a schematic diagram illustrating measurement of morphological parameters of an aneurysm according to an embodiment of the present disclosure. Specifically, the idea of aneurysm parameter measurement is as follows:

in the visualization tool VTK, the aneurysm surface and the blood vessel surface intersect with each other, and the aneurysm surface and the blood vessel surface need to be truly intersected, cannot be included, and cannot be overlapped, so that the aneurysm surface data needs to be amplified to be truly intersected to obtain an intersection line. When the data is amplified, the whole aneurysm surface data is amplified according to three coordinate directions. The amplified surface of the aneurysm is intersected with the surface of the original blood vessel, and the intersection is the neck of the aneurysm.

Calculating the space geometric center of the point set according to the aneurysm neck point set, taking the geometric center as the aneurysm neck center, wherein the center may not be on the aneurysm, and calculating the minimum distance between the center and the aneurysm boundary, which is recorded as dmin; then calculating the average distance value from the tumor neck to the center of the tumor neck, and taking the average distance value as the radius of the tumor neck, wherein the diameter of the tumor neck is 2 times of the radius of the tumor neck.

And (4) calculating a tumor neck normal vector, confirming a central point of the shortest path along the central line of the blood vessel carrying the tumor artery, and taking a connecting line of the central point of the path and the central point of the tumor neck and the direction pointing to the aneurysm as the tumor neck normal vector.

The projection of the connecting line of the point on the aneurysm and the center point of the aneurysm on the normal vector of the aneurysm neck is taken, the maximum value of the projection is taken as the height calculation value of the aneurysm, and if the center point of the aneurysm neck is in the aneurysm, the height calculation value is taken as the height of the aneurysm; if the neck center point is outside the aneurysm, the height calculation minus dmin described above is taken as the aneurysm height.

Calculating the diameter of the aneurysm, namely finding out the maximum value of a connecting line between the aneurysm and the central point of the neck of the aneurysm as a diameter calculation value of the aneurysm, wherein if the central point of the neck of the aneurysm is in the aneurysm, the diameter calculation value is the diameter of the aneurysm; if the neck center is outside the aneurysm, the diameter calculation minus dmin is taken as the aneurysm diameter.

The calculation of the width of the aneurysm requires that the distance between any two connecting lines perpendicular to the diameter direction of the aneurysm on an aneurysm image is calculated first, and the maximum value of the distance is taken as the width of the aneurysm.

The calculation of the aneurysm volume requires counting the number of pixel points in the aneurysm image, and then taking the product of the number of pixel points and voxels as the aneurysm volume.

Calculating the aneurysm incidence angle, namely calculating a point on a central line corresponding to an upstream positioning point of the central line of the parent artery vessel, wherein the included angle between a connecting line of the point and the central point of the path and the diameter of the aneurysm is the aneurysm incidence angle.

Fig. 5 is a measurement system of morphological parameters of an intracranial aneurysm image provided by the present specification. The system comprises:

an input interface: inputting a central line of an intracranial tumor-carrying artery blood vessel, a segmented intracranial aneurysm image and an intracranial tumor-carrying blood vessel image;

a processing workstation: measuring morphological parameters of an intracranial aneurysm image;

an output unit: and outputting the measurement result of the morphological parameters of the intracranial aneurysm image.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the electronic device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and the relevant points can be referred to the partial description of the embodiments of the method.

The apparatus, the electronic device, the nonvolatile computer storage medium and the method provided in the embodiments of the present description correspond to each other, and therefore, the apparatus, the electronic device, and the nonvolatile computer storage medium also have similar advantageous technical effects to the corresponding method.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the various elements may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.

As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present specification, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for measuring morphological parameters of an intracranial aneurysm image, comprising the steps of:

generating the surface of the intracranial aneurysm by utilizing the segmented intracranial aneurysm image, and calculating the neck center of the aneurysm, wherein the method specifically comprises the following steps: generating an intracranial aneurysm surface by utilizing the segmented intracranial aneurysm image, wherein the intracranial aneurysm surface is intersected with the surface of the intracranial aneurysm-carrying blood vessel, and the intersection is the tumor neck;

calculating the space geometric center of the tumor neck according to the tumor neck, and taking the geometric center as the center of the aneurysm neck;

the measurement of morphological parameters of intracranial aneurysm images specifically comprises:

taking the average distance value from the neck to the center of the aneurysm neck as the radius of the neck, wherein the diameter of the neck is 2 times of the radius of the neck;

determining a shortest path central point along the central line of the intracranial tumor-carrying blood vessel, wherein a connecting line of the shortest path central point and the aneurysm neck central point and the direction pointing to the aneurysm serve as a normal vector of the aneurysm neck;

the maximum distance from the neck center of the aneurysm on the intracranial aneurysm image is taken as the diameter of the aneurysm;

the maximum distance on the intracranial aneurysm image perpendicular to the diameter of the aneurysm is taken as the width of the aneurysm;

the included angle between the inflow direction of the intracranial tumor-carrying blood vessel and the diameter of the aneurysm is used as the incident angle of the aneurysm;

2. A system for measuring morphological parameters of images of intracranial aneurysms, comprising the following units:

the processing workstation realizes the measurement of morphological parameters of an intracranial aneurysm image, and specifically comprises the following steps: acquiring a central line of an intracranial tumor-carrying blood vessel, a segmented intracranial aneurysm image and an intracranial tumor-carrying blood vessel image;

taking the product of the number of pixel points and the number of voxels in the intracranial aneurysm image as the volume of the aneurysm;