Method, computer device and readable storage medium for obtaining morphological parameters of saccular aneurysms based on the curvature of the neck
By constructing a three-dimensional saccular aneurysm vascular model and adjusting it with a magnification factor, the curved surface of the aneurysm neck is obtained, which solves the problem of aneurysm neck plane identification error in the existing technology and realizes more accurate morphological parameter calculation, which is applicable to saccular aneurysms with complex morphology.
Patent Information
- Application Number
- CN202211734190.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-30
- Publication Date
- 2026-01-13
- Estimated Expiration
- 2042-12-30
AI Technical Summary
Existing technologies have errors in identifying the neck plane of saccular aneurysms, especially for saccular aneurysms with complex shapes, leading to inaccurate morphological analysis.
By constructing a three-dimensional saccular aneurysm vascular model, normal blood vessels are magnified proportionally using a magnification factor, and subtraction operations are performed to obtain the aneurysm neck surface. The magnification factor is automatically adjusted until the aneurysm rate changes to a minimum, and the saccular aneurysm model is accurately segmented to calculate morphological parameters.
The obtained aneurysm neck surface is more precise, reducing errors and improving applicability. It provides more accurate morphological parameters, offering reliable support for aneurysm rupture risk assessment and surgical planning.
Smart Images

Figure CN116309673B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of medical image processing, and in particular to a method, computer device, and readable storage medium for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck. Background Technology
[0002] An aneurysm is an abnormal bulge in an artery caused by congenital abnormalities or acquired injury, posing a risk of rupture. Rupture can lead to very serious consequences, even death. Therefore, assessing the risk of aneurysm rupture is crucial in clinical practice, and morphology is widely recognized as a key factor in this assessment. Aneurysms can be morphologically classified into saccular and non-saccular types. For saccular aneurysms, identifying the neck allows for precise segmentation of the normal vessel and aneurysm region, which is significant in calculating morphological parameters.
[0003] According to existing technology, saccular aneurysms and nearby arteries can be reconstructed in three dimensions using medical imaging, and then automated technology can be used to identify the aneurysm neck plane. However, there are certain limitations to using the aneurysm neck plane for morphological analysis, especially for saccular aneurysms with complex shapes, where there are significant errors in segmenting the normal vessels and aneurysm areas using the aneurysm neck plane.
[0004] Existing technology can only identify the neck plane of saccular aneurysms. The normal blood vessels and aneurysm areas obtained by segmenting using the neck plane have considerable errors, which is especially obvious when used for saccular aneurysms with complex morphology, and is not conducive to morphological analysis. Summary of the Invention
[0005] Therefore, it is necessary to provide a method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck to address the above-mentioned technical problems.
[0006] This application describes a method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck, including:
[0007] Obtain a three-dimensional saccular aneurysm vascular model;
[0008] Based on the three-dimensional saccular aneurysm vascular model, construct the corresponding normal blood vessel;
[0009] The normal blood vessel is magnified proportionally using a magnification factor to obtain the magnified normal blood vessel;
[0010] The three-dimensional saccular aneurysm vascular model is subtracted from the magnified normal blood vessel to obtain the aneurysm neck surface. After segmentation, the saccular aneurysm model is obtained, and then the morphological parameters of the saccular aneurysm are obtained, including the aneurysmization rate.
[0011] The amplification factor is obtained by continuously adjusting the amplification factor until the minimum change value of the tumor formation rate is obtained.
[0012] Optionally, the aneurysmization rate is the ratio of the aneurysm area to the aneurysm neck area, where the aneurysm neck area is the surface area of the aneurysm neck surface, and the aneurysm area is the surface area of the remaining part of the saccular aneurysm model excluding the aneurysm neck surface.
[0013] Optionally, the magnification factor is calculated according to the formula e = |(AE′)| i -AE′ i-1 ) / AE′ i-1 | Obtained, where e is the relative change value, AE is the tumorization rate, a is the amplification factor, i is the number of times the amplification factor a is changed, AE′=dAE / da;
[0014] When the relative change value e is at its minimum, the adjustment is stopped and the amplification factor is obtained.
[0015] Optionally, obtaining the three-dimensional saccular aneurysm vascular model specifically includes:
[0016] Obtain the imaging area including the aneurysm;
[0017] A rough three-dimensional model of a saccular aneurysm was extracted using a thresholding method.
[0018] Based on a coarse 3D model of a saccular aneurysm, a 3D model of a saccular aneurysm is obtained using the level set method.
[0019] Optionally, based on the three-dimensional saccular aneurysm vascular model, a corresponding normal blood vessel is constructed, specifically including:
[0020] The vessel centerline and aneurysm centerline are extracted from the three-dimensional saccular aneurysm vascular model to obtain their intersection point;
[0021] Using the intersection point as the center of the sphere, the largest inscribed sphere within the three-dimensional saccular aneurysm vascular model is obtained;
[0022] Using the intersection of the vessel centerline and the largest inscribed sphere as the cutting point, the vessel other than the aneurysm is cut off;
[0023] Interpolation fitting is performed on the clipped area to reconstruct the corresponding normal blood vessel.
[0024] Optionally, there are two cutting points, and the cutting plane is perpendicular to the center line of the blood vessel.
[0025] Optionally, interpolation fitting and reconstruction can be performed on the clipped area, specifically including:
[0026] Multi-point interpolation is performed on the centerline of the blood vessel to supplement the centerline at the clipping point;
[0027] Along the centerline of the cut-off point, the maximum inscribed sphere radius distribution of the area outside the cut-off point is interpolated to obtain the maximum inscribed sphere radius distribution of the cut-off point;
[0028] A continuous vascular surface is obtained by fitting the surface of the largest inscribed sphere at the cut-off point.
[0029] Optionally, the morphological parameters include:
[0030] The maximum height of the aneurysm is the distance from the centroid of the aneurysm neck surface to the farthest point on the top surface of the aneurysm.
[0031] The circumference of the aneurysm neck, and the length of the outline of the curved surface of the aneurysm neck;
[0032] The diameter of the aneurysm neck is the equivalent diameter of a circle with the length of the outline of the aneurysm neck surface as the reference point.
[0033] Aneurysm volume, the volume of the saccular aneurysm model.
[0034] This application also provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in this application.
[0035] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in this application.
[0036] The method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck in this application has at least the following advantages:
[0037] This application automatically obtains the magnification factor, which is used to perform subtraction to obtain the neck surface. The neck surface obtained by this application is more accurate and more realistic than the neck plane, and has better applicability.
[0038] This application utilizes the curved surface of the aneurysm neck to precisely segment saccular aneurysms, avoiding the errors caused by segmentation using the plane of the aneurysm neck. The morphological parameters are more accurate, providing reliable technical support for aneurysm rupture risk assessment and surgical planning. Attached Figure Description
[0039] Figure 1 This is a flowchart illustrating a method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck in one embodiment of this application.
[0040] Figure 2 This is a medical image used in step S100 of an embodiment of the present application to obtain a three-dimensional saccular aneurysm vascular model;
[0041] Figure 3 This is a schematic diagram of the three-dimensional saccular aneurysm vascular model obtained in step S100 according to an embodiment of this application;
[0042] Figure 4 This is a schematic diagram of a normal blood vessel obtained in step S200 according to an embodiment of this application;
[0043] Figure 5 This is a schematic diagram of the neck surface obtained in step S400 when the magnification factor is not determined according to an embodiment of this application;
[0044] Figure 6 This is a schematic diagram of the neck surface obtained after determining the magnification factor in step S400 according to an embodiment of this application;
[0045] Figure 7 This is a schematic diagram of the structure of a saccular aneurysm model obtained by segmentation in step S400 according to an embodiment of this application;
[0046] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0047] Existing technology can only identify the neck plane of saccular aneurysms. The normal blood vessels and aneurysm areas obtained by segmenting using the neck plane have considerable errors, which is especially obvious when used for saccular aneurysms with complex morphology, and is not conducive to morphological analysis.
[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0049] To solve the above technical problems, see [link to relevant documentation]. Figures 1 to 7 One embodiment of this application provides a method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck, including steps S100 to S500.
[0050] Step S100: Obtain a three-dimensional saccular aneurysm vascular model.
[0051] Step S200: Construct the corresponding normal blood vessel based on the three-dimensional saccular aneurysm vascular model.
[0052] Step S300: The normal blood vessel is magnified proportionally using a magnification factor to obtain the magnified normal blood vessel.
[0053] Step S400: Perform a subtraction operation (Boolean subtraction) between the three-dimensional saccular aneurysm vascular model and the magnified normal blood vessel to obtain the aneurysm neck surface. After segmentation, obtain the saccular aneurysm model, and then obtain the morphological parameters of the saccular aneurysm, including the aneurysmization rate.
[0054] Step S500, the amplification factor is obtained by continuously adjusting the amplification factor until the minimum change value of the tumour rate is obtained.
[0055] It is understood that step S500 includes steps S300 to S400, which are executed cyclically. During the continuous adjustment of the amplification factor, the aneurysm rate changes accordingly. When the change in the aneurysm rate is minimal, that is, when the amplification factor is adjusted to achieve the minimum change in the aneurysm rate, the amplification factor is determined. After the amplification factor is determined, the saccular aneurysm model is obtained, thus completing this embodiment.
[0056] For step S400, before the final magnification factor is determined, the aneurysm neck surface obtained in step S400 is a rough surface. The aneurysm model obtained by segmenting using this aneurysm neck surface is as follows: Figure 5 As shown in the figure, the aneurysm model obtained by directly performing Boolean subtraction is relatively coarse, with the edges partially incorporating the wall of a normal blood vessel, and is not accurate. After determining the final magnification factor, the obtained aneurysm neck curved surface and saccular aneurysm models are shown in the figure. Figure 6 and Figure 7 As shown in the figure, the aneurysm neck surface and saccular aneurysm model obtained using the determined magnification factor are smooth and accurate.
[0057] This embodiment automatically identifies the curved surface of the neck of a saccular aneurysm, enabling precise segmentation of the aneurysm and calculation of its morphological parameters based on the neck surface. This provides technical support for morphological analysis and rupture risk assessment. Morphology is a key factor in assessing the rupture risk of a saccular aneurysm, and this embodiment's ability to accurately identify the neck surface is of great significance for morphological analysis.
[0058] This embodiment automatically determines the proportional magnification factor of the original normal blood vessel by analyzing the error value of the change in the aneurysm rate. Then, it performs a Boolean subtraction operation with the aneurysm vessel to obtain an accurate aneurysm neck surface. Finally, based on this aneurysm neck surface, the morphological parameters of the saccular aneurysm are automatically calculated. The obtained aneurysm neck surface is more accurate and realistic than the aneurysm neck plane, and has better applicability. It can be used for saccular aneurysms with complex morphology. The morphological parameters of the saccular aneurysm based on the aneurysm neck surface also provide technical support for rupture risk assessment.
[0059] Based on the above embodiments, each step includes optional or alternative sub-steps to form different embodiments.
[0060] Step S100: Obtain a three-dimensional saccular aneurysm vascular model, specifically including steps S110 to S130.
[0061] Step S110: Obtain an imaging region including the aneurysm. Specifically, for example, by reading... Figure 2 The angiography images shown are used to extract appropriate image regions (including aneurysms).
[0062] Step S120: Extract a coarse 3D model of the saccular aneurysm vessel using a thresholding method. Specifically, a reasonable grayscale threshold is set for the image region to extract the coarse 3D model of the saccular aneurysm vessel.
[0063] Step S130: Based on the coarse saccular aneurysm vessel 3D model, a 3D saccular aneurysm vessel model is obtained using the level set method, such as... Figure 3 As shown.
[0064] Step S200: Based on the three-dimensional saccular aneurysm vascular model, construct the corresponding normal blood vessel, such as... Figure 4 As shown, the specific steps include S210 to S240.
[0065] Step S210: Extract the vessel centerline and aneurysm centerline from the three-dimensional saccular aneurysm model to obtain their intersection point. For lateral wall aneurysms, the aneurysm centerline and vessel centerline intersect in both the inflow and outflow directions. For bifurcation aneurysms, the aneurysm centerline intersects with the centerline of each branch vessel.
[0066] Step S220: Using the intersection point as the center of the sphere, obtain the largest internal sphere within the three-dimensional saccular aneurysm vascular model.
[0067] In step S230, the intersection of the vessel centerline and the largest inscribed sphere is used as the cutting point to cut out the vessel except for the aneurysm. Further, there are two cutting points, and the cutting plane is perpendicular to the vessel centerline.
[0068] Step S240: Interpolate and fit the cut area to reconstruct the corresponding normal blood vessel.
[0069] In step S240, interpolation fitting and reconstruction are performed on the clipped area, specifically including steps S241 to S243. Wherein:
[0070] Step S241: Perform multi-point interpolation on the vessel centerline to supplement the centerline at the clipping point. Step S242: Along the centerline of the clipping point, use the maximum inscribed sphere radius distribution of the region outside the clipping point to interpolate and obtain the maximum inscribed sphere radius distribution at the clipping point. Step S243: Obtain a continuous vessel surface by fitting the surface of the maximum inscribed sphere at the clipping point.
[0071] For steps S210 to S240 and their sub-steps, the specific steps include:
[0072] The first step is to define the intersection point of the vessel centerline of the saccular aneurysm and the vessel centerline of the saccular aneurysm as the junction point. A sphere with the junction point as the center is drawn as the largest internal tangent sphere of the vessel wall at the junction point. The intersection point of the vessel centerline away from the aneurysm and the surface of the largest internal tangent sphere is defined as the cut-off point. This first step corresponds to steps S210 to S230.
[0073] The second step involves segmenting the aneurysm vessel centerline using clipping points to obtain the original centerline of the normal vessel, and then performing multi-point interpolation on this centerline. This second step corresponds to step S241.
[0074] The third step is to interpolate along the center line of the cutting area based on the distribution of the maximum inscribed sphere radius of the area outside the cutting area (cutting point) to obtain the distribution of the maximum inscribed sphere radius of the cutting area, corresponding to step S242.
[0075] The fourth step is to fit and reconstruct the surface of the largest inscribed sphere in the clipped region to obtain the original three-dimensional model of the normal blood vessel. This corresponds to step S243.
[0076] In step S400, the morphological parameters of the saccular aneurysm include:
[0077] Maximum height of aneurysm H: The distance from the centroid of the aneurysm neck to the farthest point on the top surface of the aneurysm;
[0078] aneurysm neck circumference C N : The length of the contour line of the neck surface;
[0079] Aneurysm neck diameter D N The equivalent diameter of the circle is the length of the curved surface contour of the tumor neck.
[0080] aneurysm neck area S N : Surface area of the curved surface of the aneurysm neck;
[0081] aneurysm area S A The surface area of the aneurysm region after dividing the normal blood vessel and the aneurysm region by the curved surface of the aneurysm neck is the surface area of the remaining part of the saccular aneurysm model excluding the curved surface of the aneurysm neck.
[0082] Aneurysm volume V: The volume of the closed aneurysm cavity formed by the curved surface of the aneurysm neck and the aneurysm region, i.e., the volume of the saccular aneurysm model;
[0083] Aneurysm erosion rate (AE): The ratio of aneurysm area to aneurysm neck area, i.e., AE = S A / S N In clinical terms, it refers to the degree of expansion of the aneurysm region compared to the corresponding original normal blood vessel region.
[0084] The parameters obtained in this embodiment are shown in the table below:
[0085] Morphological parameters value H(mm) 2.95 <![CDATA[C N (mm)]]> 13.74 <![CDATA[D N (mm)]]> 4.37 <![CDATA[S N (mm 2 )]]> 14.31 <![CDATA[S A (mm 2 )]]> 30.46 <![CDATA[V(mm 3 )]]> 14.21 AE 2.13
[0086] In step S500, the aneurysm coverage rate is the ratio of the aneurysm area to the aneurysm neck area. Further, the amplification factor is calculated according to the formula e = |(AE′)|. i -AE′ i-1 ) / AE′ i-1 | Obtain the formula, where e is the relative change value, AE is the tumorization rate, a is the amplification factor, i is the number of times the amplification factor a is changed, AE′=dAE / da, when the relative change value e is the minimum value, stop the adjustment and obtain the amplification factor.
[0087] It is understandable that, due to the physiological morphology of the aneurysm and the blood vessel it is located in, gradually changing the magnification factor 'a' can yield different aneurysm neck areas 'S'. N Aneurysm area S A And the tumorigenesis rate AE. This embodiment calculates the degree of change of AE with a. ′ AE ′ = dAE / da. Then calculate the rate of change AE. ′ The relative change value e is calculated using the formula: e = |(AE′) i -AE′ i-1 ) / AE′ i-1 |, where i is the number of times a changes. When the relative change value e is at its minimum, it indicates that the aneurysm rate AE changes the least with the change of the magnification factor a. Therefore, by taking this value of a, the original normal blood vessel is magnified and Boolean subtraction is performed between it and the saccular aneurysm vessel to obtain an accurate aneurysm neck surface. After segmentation, an accurate saccular aneurysm model can be obtained.
[0088] In each embodiment of this application, three-dimensional aneurysm vessel reconstruction is first performed using medical imaging, then the original normal vessel of the aneurysm vessel is automatically constructed through the vessel centerline, and Boolean subtraction operation is performed with the aneurysm vessel to obtain the neck surface.
[0089] Because the non-aneurysmal region of an aneurysm vessel highly overlaps with the original normal vessel, directly performing a Boolean subtraction operation between the two would result in some normal vessel walls being identified as the aneurysm neck surface. Therefore, the original normal vessel needs to be proportionally enlarged before performing the Boolean subtraction operation to obtain the final accurate aneurysm neck surface. The proportional enlargement factor can be automatically obtained by analyzing the error value of the aneurysmization rate change. Finally, the aneurysm neck surface is used to segment and obtain a saccular aneurysm model, thus identifying the aneurysm region and calculating the aneurysm morphological parameters based on the aneurysm neck surface.
[0090] It should be understood that, Figure 1At least some of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
[0091] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 8 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system, computer programs, and the database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores amplification factor data. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements a method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck.
[0092] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:
[0093] Step S100: Obtain a three-dimensional saccular aneurysm vascular model;
[0094] Step S200: Construct the corresponding normal blood vessel based on the three-dimensional saccular aneurysm vascular model;
[0095] Step S300: Magnify the normal blood vessel proportionally using a magnification factor to obtain the magnified normal blood vessel;
[0096] Step S400: Subtract the three-dimensional saccular aneurysm vascular model from the magnified normal blood vessel to obtain the aneurysm neck surface. After segmentation, obtain the saccular aneurysm model, and then obtain the morphological parameters of the saccular aneurysm, including the aneurysmization rate.
[0097] Step S500, the amplification factor is obtained by continuously adjusting the amplification factor until the minimum change value of the tumour rate is obtained.
[0098] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:
[0099] Step S100: Obtain a three-dimensional saccular aneurysm vascular model;
[0100] Step S200: Construct the corresponding normal blood vessel based on the three-dimensional saccular aneurysm vascular model;
[0101] Step S300: Magnify the normal blood vessel proportionally using a magnification factor to obtain the magnified normal blood vessel;
[0102] Step S400: Subtract the three-dimensional saccular aneurysm vascular model from the magnified normal blood vessel to obtain the aneurysm neck surface. After segmentation, obtain the saccular aneurysm model, and then obtain the morphological parameters of the saccular aneurysm, including the aneurysmization rate.
[0103] Step S500, the amplification factor is obtained by continuously adjusting the amplification factor until the minimum change value of the tumour rate is obtained.
[0104] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0105] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered to be within the scope of this specification. When technical features of different embodiments are embodied in the same drawing, it can be regarded as the drawing also disclosing examples of combinations of the various embodiments involved.
[0106] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck, characterized in that, include: Obtain a three-dimensional saccular aneurysm vascular model; Based on the three-dimensional saccular aneurysm vascular model, the corresponding normal blood vessels are constructed, specifically including: extracting the vessel centerline and the aneurysm centerline from the three-dimensional saccular aneurysm vascular model to obtain their intersection point; using the intersection point as the center, obtaining the largest inscribed sphere within the three-dimensional saccular aneurysm vascular model; using the intersection point of the vessel centerline and the largest inscribed sphere as the clipping point, clipping to obtain blood vessels other than the aneurysm; and performing interpolation fitting and reconstruction on the clipped area to construct the corresponding normal blood vessels. The normal blood vessel is magnified proportionally using a magnification factor to obtain the magnified normal blood vessel; The three-dimensional saccular aneurysm vascular model is subtracted from the magnified normal blood vessel to obtain the aneurysm neck surface. After segmentation, the saccular aneurysm model is obtained, and then the morphological parameters of the saccular aneurysm are obtained. The morphological parameters include the aneurysm susceptibility rate, which is the ratio of the aneurysm area to the aneurysm neck area. The aneurysm neck area is the surface area of the aneurysm neck surface, and the aneurysm area is the surface area of the remaining part of the saccular aneurysm model excluding the aneurysm neck surface. The amplification factor is obtained by continuously adjusting the amplification factor until the minimum change value of the tumor morphology rate is obtained, wherein the amplification factor is determined according to the formula... Obtain, in the formula The value represents a relative change. The morphology rate is represented by α, and α is the amplification factor. amplification factor The number of changes, The relative change value When the value is at its minimum, stop adjusting and obtain the amplification factor.
2. The method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in claim 1, characterized in that, The process of obtaining a three-dimensional saccular aneurysm vascular model specifically includes: Obtain the imaging area including the aneurysm; A rough three-dimensional model of a saccular aneurysm was extracted using a thresholding method. Based on a coarse 3D model of a saccular aneurysm, a 3D model of a saccular aneurysm is obtained using the level set method.
3. The method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in claim 1, characterized in that, There are two cutting points, and the cutting plane is perpendicular to the center line of the blood vessel.
4. The method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in claim 1, characterized in that, The cropped area is reconstructed through interpolation fitting, specifically including: Multi-point interpolation is performed on the centerline of the blood vessel to supplement the centerline at the clipping point; Along the centerline of the cut-off point, the maximum inscribed sphere radius distribution of the area outside the cut-off point is interpolated to obtain the maximum inscribed sphere radius distribution of the cut-off point; A continuous vascular surface is obtained by fitting the surface of the largest inscribed sphere at the cut-off point.
5. The method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in claim 1, characterized in that, The morphological parameters include: The maximum height of the aneurysm is the distance from the centroid of the aneurysm neck to the point furthest from the top surface of the aneurysm. The circumference of the aneurysm neck, and the length of the outline of the curved surface of the aneurysm neck; The diameter of the aneurysm neck is the equivalent diameter of a circle with the length of the outline of the aneurysm neck surface as the reference point. Aneurysm volume, the volume of the saccular aneurysm model.
6. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method for obtaining morphological parameters of saccular aneurysms based on the neck surface as described in any one of claims 1 to 5.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method for obtaining morphological parameters of saccular aneurysms based on the curved surface of the aneurysm neck as described in any one of claims 1 to 5.
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