CN116309673A - Method, computer device and readable storage medium for obtaining saccular aneurysm morphological parameters based on tumor neck curved surface - Google Patents
Method, computer device and readable storage medium for obtaining saccular aneurysm morphological parameters based on tumor neck curved surface Download PDFInfo
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Abstract
The application discloses a method, a computer device and a readable storage medium for obtaining saccular aneurysm morphological parameters based on a tumor neck curved surface, wherein the method comprises the following steps: obtaining a three-dimensional saccular aneurysm vascular model; constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model; the normal blood vessel is amplified by an amplification coefficient in an equal ratio to obtain an amplified normal blood vessel; performing subtraction operation on the three-dimensional saccular aneurysm vascular model and the amplified normal blood vessel to obtain a tumor neck curved surface, and obtaining a saccular aneurysm model after segmentation so as to obtain morphological parameters of the saccular aneurysm, wherein the morphological parameters comprise a tumorigenesis rate; the obtaining mode of the amplification factor comprises the step of continuously adjusting the amplification factor until the minimum change value of the neoplasia rate is obtained. Compared with a tumor neck plane, the tumor neck curved surface obtained by the method is more accurate and more practical, better in applicability and more accurate in morphological parameters of the obtained saccular aneurysm model.
Description
Technical Field
The present application relates to the field of medical image processing, and in particular, to a method, a computer device, and a readable storage medium for obtaining saccular aneurysm morphological parameters based on a tumor neck curved surface.
Background
Aneurysms are abnormal distensions of arterial blood vessels due to congenital anomalies or acquired lesions, and risk of rupture exists, and once ruptured, the risk of rupture of an aneurysm is clinically important because of very serious consequences and even death, wherein morphology is recognized as one of the key factors for evaluating the risk of rupture. Aneurysms can be classified into saccular and non-saccular from morphology, and for saccular aneurysms, the recognition of the neck surface of the aneurysm can accurately divide normal blood vessels and the area of the aneurysm, and the method has important significance in calculating morphological parameters.
According to the prior art, saccular aneurysms and nearby arterial vessels can be reconstructed in three dimensions from medical images, and the aneurysm neck plane can be identified using automated techniques. However, there is a limitation in using the tumor neck plane for morphological analysis, and particularly for saccular aneurysms with complex morphology, there is a small error in the normal blood vessel and the aneurysm region segmented by the tumor neck plane.
The prior art can only identify the saccular aneurysm neck plane, and the normal blood vessel and the aneurysm area obtained by dividing the saccular aneurysm neck plane have small errors, and are particularly obvious when used for the saccular aneurysm with complex morphology, and are not beneficial to morphological analysis.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method for obtaining saccular aneurysm morphological parameters based on a curved surface of a neck of a tumor.
The method for obtaining saccular aneurysm morphological parameters based on the curved surface of the tumor neck comprises the following steps:
obtaining a three-dimensional saccular aneurysm vascular model;
constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model;
the normal blood vessel is amplified by an amplification coefficient in an equal ratio to obtain an amplified normal blood vessel;
performing subtraction operation on the three-dimensional saccular aneurysm vascular model and the amplified normal blood vessel to obtain a tumor neck curved surface, and obtaining a saccular aneurysm model after segmentation so as to obtain morphological parameters of the saccular aneurysm, wherein the morphological parameters comprise a tumorigenesis rate;
the obtaining mode of the amplification factor comprises the step of continuously adjusting the amplification factor until the minimum change value of the neoplasia rate is obtained.
Optionally, the aneurysm rate is a ratio of an aneurysm area to an aneurysm neck area, the aneurysm neck area is a surface area of the tumor neck curved surface, and the aneurysm area is a surface area of the rest part of the saccular aneurysm model except the tumor neck curved surface.
Optionally, the amplification factor is according to formula e= | (AE' i -AE′ i-1 )/AE′ i-1 Obtaining, wherein e is a relative change value, AE is a neoplasia rate, a is an amplification factor, i is the change times of the amplification factor a, AE' = dAE/da;
and stopping adjusting and obtaining the amplification factor when the relative change value e is the minimum value.
Optionally, the obtaining the three-dimensional saccular aneurysm vascular model specifically includes:
obtaining an image region including an aneurysm;
extracting a rough saccular aneurysm blood vessel three-dimensional model by using a threshold method;
based on the rough saccular aneurysm blood vessel three-dimensional model, the three-dimensional saccular aneurysm blood vessel model is obtained by using a level set method.
Optionally, constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model specifically includes:
extracting a blood vessel central line and an aneurysm central line from the three-dimensional saccular aneurysm blood vessel model to obtain a junction of the blood vessel central line and the aneurysm central line;
taking the intersection point as a sphere center to obtain the maximum inscribed sphere in the three-dimensional saccular aneurysm vascular model;
taking the intersection point of the central line of the blood vessel and the maximum inscribed sphere as a cutting point, and cutting to obtain blood vessels except aneurysms;
and carrying out interpolation fitting reconstruction on the cutting position, and constructing and obtaining a corresponding normal blood vessel.
Optionally, the number of the clipping points is two, and the clipping plane is perpendicular to the central line of the blood vessel.
Optionally, performing interpolation fitting reconstruction on the clipping part specifically includes:
performing multipoint interpolation on the central line of the blood vessel, and supplementing the central line at the cutting position;
interpolation is carried out along the central line of the cutting position by utilizing the maximum inscribed sphere radius distribution of the area outside the cutting position to obtain the maximum inscribed sphere radius distribution of the cutting position;
the continuous vessel surface is obtained by fitting the largest inscribed sphere surface at the cut.
Optionally, the morphological parameters include:
maximum height of the aneurysm, and a distance value from a centroid point of the neck curved surface of the aneurysm to a furthest point on the top surface of the aneurysm;
an aneurysm neck circumference, the contour line length of the aneurysm neck curvature;
the diameter of the neck of the aneurysm, the length of the contour line of the curved surface of the neck of the aneurysm is the equivalent diameter of a circle;
aneurysm volume, the volume of the saccular aneurysm model.
The application also provides a computer device comprising a memory, a processor and a computer program stored on the memory, wherein the processor executes the computer program to realize the steps of the method for obtaining saccular aneurysm morphological parameters based on a curved surface of a neck of a tumor.
The present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of obtaining saccular aneurysm morphology parameters based on a neck surface described herein.
The method for obtaining the saccular aneurysm morphological parameters based on the tumor neck curved surface has at least the following effects:
the utility model provides an automatic gain amplification factor, amplification factor are used for subtracting the operation and obtain the tumour neck curved surface, and the tumour neck curved surface that this application obtained compares in tumour neck plane more accurate and more accords with reality, and the suitability is better.
According to the method, the saccular aneurysm is accurately obtained by segmenting the tumor neck curved surface, errors caused by segmenting a tumor neck plane are avoided, morphological parameters are more accurate, and reliable technical support is provided for aneurysm rupture risk assessment and operation scheme formulation.
Drawings
FIG. 1 is a flow chart of a method for obtaining saccular aneurysm morphology parameters based on a curved surface of a neck of a tumor in an embodiment of the present application;
FIG. 2 is a medical image of a three-dimensional saccular aneurysm vessel model obtained in step S100 according to an embodiment of the present application;
FIG. 3 is a schematic view of a three-dimensional saccular aneurysm vascular model obtained in step S100 according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a normal blood vessel obtained in step S200 according to an embodiment of the present application;
FIG. 5 is a schematic view of a curved surface of a neck of a tumor obtained when the magnification factor is not determined in step S400 according to an embodiment of the present application;
FIG. 6 is a schematic view of a curved surface of a neck of a tumor obtained after determining the magnification factor in step S400 according to an embodiment of the present application;
FIG. 7 is a schematic structural diagram of a saccular aneurysm model obtained by segmentation in step S400 according to an embodiment of the present application;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The prior art can only identify the saccular aneurysm neck plane, and the normal blood vessel and the aneurysm area obtained by dividing the saccular aneurysm neck plane have small errors, and are particularly obvious when used for the saccular aneurysm with complex morphology, and are not beneficial to morphological analysis.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In order to solve the above technical problems, referring to fig. 1 to 7, in an embodiment of the present application, a method for obtaining a saccular aneurysm morphological parameter based on a curved surface of a neck of a tumor is provided, which includes steps S100 to S500.
Step S100, obtaining a three-dimensional saccular aneurysm blood vessel model.
Step S200, constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model.
Step S300, the normal blood vessel is amplified by the amplification factor in an equal ratio, and the amplified normal blood vessel is obtained.
Step S400, performing subtraction operation (Boolean subtraction operation) on the three-dimensional saccular aneurysm vascular model and the amplified normal blood vessel to obtain a tumor neck curved surface, and obtaining a saccular aneurysm model after segmentation, thereby obtaining morphological parameters of the saccular aneurysm, wherein the morphological parameters comprise a tumorization rate.
In step S500, the obtaining manner of the amplification factor includes continuously adjusting the amplification factor until the minimum variation value of the neoplasia rate is obtained.
It can be understood that step S500 includes steps S300 to S400 which are cyclically performed, and the neoplasia rate is changed during the process of continuously adjusting the magnification factor. When the change amplitude of the neoplasia rate is minimum, that is, when the amplification factor is adjusted to cause the neoplasia rate to have the minimum change value at a certain time, the amplification factor is determined, and a saccular aneurysm model is obtained after the amplification factor is determined, so that the embodiment is completed.
For step S400, when the final magnification factor is not determined, the curved surface of the neck of the tumor obtained in step S400 is a rough surface. An aneurysm model obtained using this neck surface segmentation is shown in fig. 5. As can be seen from the figure, the aneurysm model obtained by directly performing Boolean subtraction operation is rough, and the edge is related to the wall surface of part of normal blood vessels and is inaccurate. After determining the final magnification factor, the obtained tumor neck curvature and saccular aneurysm model are shown in fig. 6 and 7, respectively. It can be seen that the model of the tumor neck curved surface and saccular aneurysm obtained by using the determined magnification factors is smooth and accurate.
According to the method, the saccular aneurysm neck curved surface is automatically identified, the saccular aneurysm can be accurately segmented through the saccular aneurysm neck curved surface, and the saccular aneurysm morphological parameters based on the saccular aneurysm neck curved surface are obtained through calculation, so that technical support is provided for morphological analysis and rupture risk assessment. Morphology is used as one of key factors for evaluating rupture risk of saccular aneurysms, and the embodiment can accurately identify the curved surface of the neck of the saccular aneurysms and has important significance for morphological analysis.
According to the method, after the equal ratio amplification coefficient of the original normal blood vessel is automatically determined through analyzing the error value of the change degree of the tumorigenesis rate, the equal ratio amplification coefficient is subjected to Boolean subtraction operation with the aneurysmal blood vessel to obtain an accurate tumor neck curved surface, and finally the saccular aneurysmal morphological parameters are automatically calculated based on the tumor neck curved surface. Compared with a tumor neck plane, the obtained tumor neck curved surface is more accurate and more practical, has better applicability, can be used for saccular aneurysms with complex forms, and provides technical support for fracture risk assessment based on the saccular aneurysms morphological parameters of the tumor neck curved surface.
On the basis of the above embodiments, each step comprises optional or alternative sub-steps to constitute different embodiments.
Step S100, obtaining a three-dimensional saccular aneurysm vascular model, and specifically comprises steps S110 to S130.
In step S110, an image region including an aneurysm is obtained. Specifically, the appropriate image region (including the aneurysm) is extracted, for example, by reading an angiographic image as shown in fig. 2.
And step S120, extracting a rough saccular aneurysm blood vessel three-dimensional model by using a threshold method. Specifically, a reasonable gray threshold is set for the image area, and a rough saccular aneurysm blood vessel three-dimensional model is extracted.
Step S130, obtaining a three-dimensional saccular aneurysm blood vessel model by using a level set method based on the rough saccular aneurysm blood vessel three-dimensional model, as shown in figure 3.
Step 200, constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model, as shown in fig. 4, specifically comprising steps S210 to S240.
Step S210, extracting a blood vessel center line and an aneurysm center line from the three-dimensional saccular aneurysm blood vessel model to obtain a junction of the blood vessel center line and the aneurysm center line. For a sidewall aneurysm, there is an intersection of the aneurysm centerline vessel centerline in both the inflow and outflow directions. For bifurcated aneurysms, there is one intersection of the aneurysm centerline with each branch vessel centerline.
And S220, taking the junction as a sphere center, and obtaining the maximum inscribed sphere in the three-dimensional saccular aneurysm vascular model.
And step S230, cutting to obtain the blood vessel except the aneurysm by taking the intersection point of the blood vessel center line and the maximum inscribed sphere as a cutting point. Further, the number of the clipping points is two, and the clipping plane is perpendicular to the center line of the blood vessel.
And step S240, carrying out interpolation fitting reconstruction on the cutting position, and constructing and obtaining a corresponding normal blood vessel.
In step S240, interpolation fitting reconstruction is performed on the clipping portion, specifically including steps S241 to S243. Wherein:
and S241, performing multipoint interpolation on the central line of the blood vessel, and supplementing the central line at the cutting position. And step S242, utilizing the maximum inscribed sphere radius distribution of the region outside the cutting part along the central line of the cutting part, and interpolating to obtain the maximum inscribed sphere radius distribution of the cutting part. Step S243, obtaining a continuous vessel surface by fitting the largest inscribed sphere surface at the clipping.
The steps S210 to S240 and the sub-steps thereof specifically include:
the first step, the intersection point of the vessel center line of the vessel where the saccular aneurysm is located and the vessel center line of the saccular aneurysm is defined as an intersection point, the intersection point is taken as a sphere center to serve as the maximum inscribed sphere of the vessel wall at the intersection point, and the intersection point of the vessel center line far away from the direction of the aneurysm and the maximum inscribed sphere is defined as a cutting point. The first step corresponds to steps S210 to S230.
And secondly, dividing the central line of the aneurysm blood vessel through clipping points to obtain the central line of the original normal blood vessel, and carrying out multipoint interpolation on the central line. The second step corresponds to step S241.
And thirdly, interpolating along the central line of the cutting area according to the maximum inscribed sphere radius distribution of the area outside the cutting area (cutting position), so as to obtain the maximum inscribed sphere radius distribution of the cutting area, which corresponds to step S242.
And fourthly, fitting and reconstructing the maximum inscribed sphere surface of the cutting area to obtain the original normal blood vessel three-dimensional model. Corresponding to step S243.
In step S400, morphological parameters of the saccular aneurysm include:
maximum height H of aneurysm: a distance value from the centroid point of the curved surface of the aneurysm neck to the furthest point on the top surface of the aneurysm;
aneurysm neck circumference C N : the contour line length of the curved surface of the tumor neck;
diameter D of neck of aneurysm N : the equivalent diameter of a circle is the length of the contour line of the curved surface of the tumor neck;
aneurysm neck area S N : the surface area of the curved surface of the tumor neck;
aneurysm area S A : the surface area of the aneurysm area after the normal blood vessel and the aneurysm area is segmented by the tumor neck curved surface, namely the surface area of the rest part of the saccular aneurysm model except the tumor neck curved surface.
Aneurysm volume V: the volume of the enclosed tumor cavity formed by the tumor neck curved surface and the aneurysm area, namely the volume of the saccular aneurysm model;
neoplasia rate AE: the ratio of the area of the aneurysm to the area of the neck of the aneurysm, ae=s A /S N Clinically, the extent of enlargement of an aneurysmal region compared to the corresponding original normal vascular region is meant.
The parameters obtained in this example are shown in the following table:
| morphological parameters | Value of |
| H(mm) | 2.95 |
| C N (mm) | 13.74 |
| D N (mm) | 4.37 |
| S N (mm 2 ) | 14.31 |
| S A (mm 2 ) | 30.46 |
| V(mm 3 ) | 14.21 |
| AE | 2.13 |
In step S500, the rate of the aneurysm is the ratio of the area of the aneurysm to the area of the neck of the aneurysm. Further, the amplification factor is expressed according to the formula e= | (AE' i -AE′ i-1 )/AE′ i-1 And (3) obtaining I, wherein e is a relative change value, AE is a neoplasia rate, a is an amplification factor, i is the change times of the amplification factor a, AE' = dAE/da, and when the relative change value e is a minimum value, stopping adjustment and obtaining the amplification factor.
It can be understood that the gradual change of the amplification factor a can obtain the corresponding different neck areas S of the aneurysms due to the physiological forms of the aneurysms and the blood vessels in which the aneurysms are positioned N Area S of aneurysm A And a neoplasia rate AE. The present embodiment calculates the degree of AE variation with a AE ′ Which is provided withMiddle AE ′ = dAE/da. Recalculate the rate of change AE ′ The relative change value e of (2) is calculated as: e= | (AE' i -AE′ i-1 )/AE′ i-1 I, where i is the number of changes of a. When the relative change value e is the minimum value, the degree of change of the tumorigenesis rate AE along with the change of the amplification coefficient a is the lowest, so that an accurate tumor neck curved surface can be obtained by taking the original normal blood vessel after amplifying the value a and performing Boolean subtraction operation with the saccular aneurysm blood vessel, and an accurate saccular aneurysm model can be obtained after segmentation.
In the embodiments of the application, firstly, three-dimensional aneurysm blood vessel reconstruction is carried out by using medical images, then, an original normal blood vessel of the aneurysm blood vessel is automatically constructed through a blood vessel central line, and Boolean subtraction operation is carried out on the original normal blood vessel and the aneurysm blood vessel, so that a tumor neck curved surface is obtained.
Because the non-aneurysm area of the aneurysm vessel has high coincidence with the original normal vessel, the wall surface of part of the normal vessel is judged to be the tumor neck curved surface by directly performing Boolean subtraction operation on the non-aneurysm area and the original normal vessel, and therefore the final accurate tumor neck curved surface is obtained by performing Boolean subtraction operation after the original normal vessel is amplified in equal proportion, and the equal proportion amplification coefficient can be automatically obtained by analyzing the error value of the change degree of the tumorigenesis rate. And finally, obtaining a saccular aneurysm model by using the segmentation of the neck surface of the aneurysm, obtaining an aneurysm area, and calculating the morphological parameters of the aneurysm based on the neck surface of the aneurysm.
It should be understood that at least a portion of the steps of fig. 1 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data of the amplification factors. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of obtaining saccular aneurysm morphology parameters based on a tumor neck curvature.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
step S100, obtaining a three-dimensional saccular aneurysm blood vessel model;
step S200, constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model;
step S300, the normal blood vessel is amplified in an equal ratio by using an amplification factor, and the amplified normal blood vessel is obtained;
step S400, performing subtraction operation on the three-dimensional saccular aneurysm vascular model and the amplified normal blood vessel to obtain a tumor neck curved surface, and obtaining a saccular aneurysm model after segmentation, thereby obtaining morphological parameters of the saccular aneurysm, wherein the morphological parameters comprise a tumorigenesis rate;
in step S500, the obtaining manner of the amplification factor includes continuously adjusting the amplification factor until the minimum variation value of the neoplasia rate is obtained.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
step S100, obtaining a three-dimensional saccular aneurysm blood vessel model;
step S200, constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model;
step S300, the normal blood vessel is amplified in an equal ratio by using an amplification factor, and the amplified normal blood vessel is obtained;
step S400, performing subtraction operation on the three-dimensional saccular aneurysm vascular model and the amplified normal blood vessel to obtain a tumor neck curved surface, and obtaining a saccular aneurysm model after segmentation, thereby obtaining morphological parameters of the saccular aneurysm, wherein the morphological parameters comprise a tumorigenesis rate;
in step S500, the obtaining manner of the amplification factor includes continuously adjusting the amplification factor until the minimum variation value of the neoplasia rate is obtained.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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 a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description. When technical features of different embodiments are embodied in the same drawing, the drawing can be regarded as a combination of the embodiments concerned also being disclosed at the same time.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A method for obtaining saccular aneurysm morphology parameters based on a tumor neck curvature, comprising:
obtaining a three-dimensional saccular aneurysm vascular model;
constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model;
the normal blood vessel is amplified by an amplification coefficient in an equal ratio to obtain an amplified normal blood vessel;
performing subtraction operation on the three-dimensional saccular aneurysm vascular model and the amplified normal blood vessel to obtain a tumor neck curved surface, and obtaining a saccular aneurysm model after segmentation so as to obtain morphological parameters of the saccular aneurysm, wherein the morphological parameters comprise a tumorigenesis rate;
the obtaining mode of the amplification factor comprises the step of continuously adjusting the amplification factor until the minimum change value of the neoplasia rate is obtained.
2. The method of deriving saccular aneurysm morphology parameters based on a surface of a tumor neck according to claim 1, wherein said rate of tumorigenesis is a ratio of an aneurysm area to an aneurysm neck area, said aneurysm neck area being a surface area of said surface of a tumor neck, said aneurysm area being a surface area of a remainder of said saccular aneurysm model other than said surface of a tumor neck.
3. The method of obtaining saccular aneurysm morphology parameters based on a tumor neck curvature according to claim 2, wherein the magnification factor is according to formula e= | (AE' i -AE′ i-1 )/AE′ i-1 Obtaining, wherein e is a relative change value, AE is a neoplasia rate, a is an amplification factor, i is the change times of the amplification factor a, AE' = dAE/da;
and stopping adjusting and obtaining the amplification factor when the relative change value e is the minimum value.
4. The method for obtaining saccular aneurysm morphological parameters based on a tumor neck curvature according to claim 1, wherein the obtaining a three-dimensional saccular aneurysm vascular model specifically comprises:
obtaining an image region including an aneurysm;
extracting a rough saccular aneurysm blood vessel three-dimensional model by using a threshold method;
based on the rough saccular aneurysm blood vessel three-dimensional model, the three-dimensional saccular aneurysm blood vessel model is obtained by using a level set method.
5. The method for obtaining saccular aneurysm morphological parameters based on a tumor neck surface according to claim 1, wherein constructing a corresponding normal blood vessel according to the three-dimensional saccular aneurysm blood vessel model specifically comprises:
extracting a blood vessel central line and an aneurysm central line from the three-dimensional saccular aneurysm blood vessel model to obtain a junction of the blood vessel central line and the aneurysm central line;
taking the intersection point as a sphere center to obtain the maximum inscribed sphere in the three-dimensional saccular aneurysm vascular model;
taking the intersection point of the central line of the blood vessel and the maximum inscribed sphere as a cutting point, and cutting to obtain blood vessels except aneurysms;
and carrying out interpolation fitting reconstruction on the cutting position, and constructing and obtaining a corresponding normal blood vessel.
6. The method for obtaining saccular aneurysm morphology parameters based on a torticollis surface of claim 5, wherein the clipping points are two, and the clipping plane is perpendicular to the vessel centerline.
7. The method for obtaining saccular aneurysm morphological parameters based on a tumor neck curved surface according to claim 5, wherein performing interpolation fit reconstruction on the clipping position specifically comprises:
performing multipoint interpolation on the central line of the blood vessel, and supplementing the central line at the cutting position;
interpolation is carried out along the central line of the cutting position by utilizing the maximum inscribed sphere radius distribution of the area outside the cutting position to obtain the maximum inscribed sphere radius distribution of the cutting position;
the continuous vessel surface is obtained by fitting the largest inscribed sphere surface at the cut.
8. The method of deriving saccular aneurysm morphology parameters based on a curved surface of the neck of a tumor according to claim 1, wherein said morphology parameters comprise:
maximum aneurysm height, the distance value of the centroid point of the neck surface of the aneurysm to the point farthest from the top surface of the aneurysm;
an aneurysm neck circumference, the contour line length of the aneurysm neck curvature;
the diameter of the neck of the aneurysm, the length of the contour line of the curved surface of the neck of the aneurysm is the equivalent diameter of a circle;
aneurysm volume, the volume of the saccular aneurysm model.
9. Computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method of obtaining saccular aneurysm morphology parameters based on a curved surface of a tumor neck according to any of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of obtaining saccular aneurysm morphological parameters based on a curved surface of a neck of a tumor according to any one of claims 1 to 8.
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| CN116485803A (en) * | 2023-06-26 | 2023-07-25 | 杭州脉流科技有限公司 | Method and device for obtaining morphological parameters of aneurysms with complex shapes |
| CN116485800A (en) * | 2023-06-26 | 2023-07-25 | 杭州脉流科技有限公司 | Automatic acquisition method, device, equipment and storage medium for morphological parameters of aneurysms |
| CN116503395A (en) * | 2023-06-26 | 2023-07-28 | 杭州脉流科技有限公司 | Method, device and equipment for automatically obtaining morphological parameters aiming at wide-neck aneurysm |
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| CN116485803A (en) * | 2023-06-26 | 2023-07-25 | 杭州脉流科技有限公司 | Method and device for obtaining morphological parameters of aneurysms with complex shapes |
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| CN116503395A (en) * | 2023-06-26 | 2023-07-28 | 杭州脉流科技有限公司 | Method, device and equipment for automatically obtaining morphological parameters aiming at wide-neck aneurysm |
| CN116503436A (en) * | 2023-06-26 | 2023-07-28 | 杭州脉流科技有限公司 | Method and device for automatically dividing aneurysm neck based on control points |
| CN116485800B (en) * | 2023-06-26 | 2023-09-08 | 杭州脉流科技有限公司 | Automatic acquisition method, device, equipment and storage medium for morphological parameters of aneurysms |
| CN116503395B (en) * | 2023-06-26 | 2023-09-08 | 杭州脉流科技有限公司 | Method, device and equipment for automatically obtaining morphological parameters aiming at wide-neck aneurysm |
| CN116485803B (en) * | 2023-06-26 | 2023-09-12 | 杭州脉流科技有限公司 | Method and device for obtaining morphological parameters of aneurysms with complex shapes |
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