Arterial aneurysm area identification method and platform

Abstract

The invention provides aneurysm region identification. The method comprises the following steps: in response to a three-dimensional ultrasonic image, corresponding to the artery of a patient, sent by a medical care terminal, identifying the three-dimensional ultrasonic image, and determining an aneurysm tissue in the three-dimensional ultrasonic image; performing feature extraction on the aneurysm tissue, and performing data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk evaluation value corresponding to the aneurysm tissue; the risk assessment value is compared with a preset assessment value configured by the medical care terminal, and under the condition that the risk assessment value is larger than the preset assessment value, 3D printing operation is executed based on the aneurysm tissue, and a tissue model corresponding to the aneurysm tissue is obtained; a model opening located in the tissue model is determined, a corresponding filling angle is determined based on the model opening, and the medical care end is indicated to fill the interior of the tissue model with the coil props through the model opening based on the filling angle. The accuracy of the risk assessment value is at least improved.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to an aneurysm region identification method and platform. Background Art

[0002] Aneurysms are caused by lesions or damage to the arterial wall, resulting in localized or diffuse expansion or bulging of the arterial wall. They are mainly manifested as expansive, pulsating masses. They can occur in any part of the arterial system, but are more common in the main arteries of the limbs, the aorta, and the carotid arteries. The treatment of aneurysms in different parts of the body varies. The main treatment methods are surgical treatment, endovascular repair of aneurysms, and aneurysm embolization.

[0003] The inventors found in their research that different surgical plans are used for aneurysms of different risk levels. If medical staff can evaluate aneurysms with higher risks before surgery and simulate the surgical operation, they will be able to better understand the specific circumstances of the surgery and reduce the corresponding surgical risks. Summary of the invention

[0004] Based on the above problems, the present invention is proposed to provide an aneurysm region identification method and platform that overcomes the above problems or at least partially solves the above problems.

[0005] According to one aspect of the present invention, a method for identifying an aneurysm region is provided, comprising the following steps: In response to the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical terminal, identifying the three-dimensional ultrasound image, and determining the aneurysmal tissue located in the three-dimensional ultrasound image; Extracting features of the aneurysm tissue, and performing data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk evaluation value corresponding to the aneurysm tissue; Comparing the risk assessment value with a preset assessment value configured by the medical end, and, if the risk assessment value is greater than the preset assessment value, performing a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue; A model opening on the tissue model is determined, a corresponding filling angle is determined based on the model opening, and a medical staff is instructed to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle.

[0006] Optionally, in the method according to the present invention, feature extraction is performed on the aneurysm tissue, and data evaluation is performed on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk assessment value corresponding to the aneurysm tissue, including: Obtaining the extraction requirements of feature data corresponding to different feature dimensions configured by the medical side, wherein the feature dimensions include associated dimensions and uniform dimensions; Acquire a blood vessel tissue that is in communication with the aneurysm tissue, and determine a communication area surface between the blood vessel tissue and the aneurysm tissue; Determine, in the connected area surface along the extension direction of the vascular tissue, a first intersection point and a second intersection point where the aneurysm contour of the aneurysm tissue and the vascular contour of the vascular tissue have an intersection relationship, and connect the first intersection point with the second intersection point to obtain an intersection connection line; Performing coordinate processing on the three-dimensional ultrasound image based on the intersecting connection line to obtain a three-dimensional coordinate system corresponding to the three-dimensional ultrasound image, wherein any coordinate axis of the three-dimensional coordinate system coincides with the intersecting connection line; Determine each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determine a contour distribution and a contour symmetry corresponding to the aneurysm contour based on each contour coordinate point; Determine the profile distribution as feature data corresponding to the associated dimension, and determine the profile symmetry as feature data corresponding to the uniform dimension; Based on a preset evaluation strategy, data evaluation is performed on the obtained characteristic data of the associated dimension and the characteristic data of the uniform dimension to obtain a risk evaluation value of the aneurysm tissue.

[0007] Optionally, in the method according to the present invention, determining each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determining a contour distribution corresponding to the aneurysm contour based on each contour coordinate point, comprises: Determine a coordinate axis having a perpendicular relationship with the connected region surface as a first target coordinate axis, and determine a coordinate axis coincident with the intersecting connection line as a second target coordinate axis; forming a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, and determining each contour coordinate point constituting the aneurysm contour and located in the target coordinate plane based on a three-dimensional coordinate system; Determine the contour coordinate point corresponding to the first intersection point as the distribution starting point, determine the contour coordinate point corresponding to the second intersection point as the distribution ending point, and determine the arrangement order from the distribution starting point to the distribution ending point as the distribution order; The distribution of each contour coordinate point is determined based on the distribution order to obtain a contour distribution corresponding to the aneurysm contour.

[0008] Optionally, in the method according to the present invention, the distribution of each contour coordinate point is determined based on the distribution order to obtain the contour distribution corresponding to the aneurysm contour, including: Based on the distribution order, two adjacent contour coordinate points are divided into the same coordinate difference value group, and a difference calculation based on the horizontal coordinate is performed to obtain each coordinate difference value corresponding to each coordinate difference value group; Comparing the coordinate difference values ​​in turn based on the calculation order, and determining the corresponding coordinate difference value groups showing continuous positive increase as first coordinate difference value groups, and determining the corresponding coordinate difference value groups showing continuous negative decrease as second coordinate difference value groups based on the comparison result; The first coordinate difference value groups and the second coordinate difference value groups located between adjacent ones are divided into the same comparison set to obtain each comparison set; Connecting two contour coordinate points in the first coordinate difference group and two contour coordinate points in the second coordinate difference group in the same comparison set to obtain a first point connection line and a second point connection line corresponding to the comparison set; Acquire a contour center point corresponding to the aneurysm contour, and acquire a connection angle between the first point connection line and the second point connection line corresponding to the same comparison set and oriented toward the contour center point; Compare the connection angle with a preset angle by numerical value, and determine the comparison set corresponding to the connection angle greater than the preset angle as a companion set; The aneurysm contour is contour-divided based on all the associated sets to obtain associated sub-contours, and each associated sub-contour is determined as a contour distribution corresponding to the aneurysm contour.

[0009] Optionally, in the method according to the present invention, determining each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determining the contour symmetry corresponding to the aneurysm contour based on each contour coordinate point, comprises: Determine a coordinate axis having a perpendicular relationship with the connected region surface as a first target coordinate axis, and determine a coordinate axis coincident with the intersecting connection line as a second target coordinate axis; forming a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, and determining each contour coordinate point constituting the aneurysm contour and located in the target coordinate plane based on a three-dimensional coordinate system; Determine a line segment center point corresponding to the intersecting connecting line, and establish an intersecting vertical line connected to the aneurysm contour and perpendicular to the intersecting connecting line in the target coordinate plane based on the line segment center point; Dividing the intersecting vertical lines into points, and determining vertical coordinate points corresponding to the obtained vertical points based on the three-dimensional coordinate system; Determine two contour coordinate points located on both sides of the same vertical coordinate point as vertical-line related groups along a direction parallel to the intersecting connecting line, and obtain vertical-line related groups corresponding to each vertical coordinate point; Determine each coordinate distance between two contour coordinate points in the same vertical line related group and the corresponding vertical line coordinate point, and perform difference calculation on each coordinate distance to obtain each symmetric difference; Each symmetric difference is compared with a preset difference, and the ratio of the number of differences corresponding to all symmetric differences greater than the preset difference to the number of coordinates of all vertical coordinate points is calculated to obtain the contour symmetry corresponding to the aneurysm contour.

[0010] Optionally, in the method according to the present invention, data evaluation is performed on the obtained feature data of the associated dimension and the feature data of the uniform dimension based on a preset evaluation strategy to obtain a risk evaluation value corresponding to the aneurysm tissue, including: Determine the number of contours corresponding to each associated sub-contour, and normalize the number of contours and the symmetry of the contours to obtain an associated value and a symmetry value; The associated numerical value and the symmetric numerical value are respectively multiplied by the retrieved associated weight and the symmetric weight to obtain an associated evaluation value and a symmetric evaluation value; The associated assessment value and the symmetric assessment value are summed up to obtain a risk assessment value corresponding to the aneurysm tissue.

[0011] Optionally, in the method according to the present invention, the method further comprises: Acquire an actual assessment value based on the aneurysm tissue by the medical end, and compare the risk assessment value corresponding to the aneurysm tissue with the actual assessment value; When the actual evaluation value is greater than the risk evaluation value, the associated weight and the symmetric weight are respectively increased by training; When the actual evaluation value is less than the risk evaluation value, the associated weight and the symmetric weight are respectively trained to be reduced; The companion weight and symmetric weight after training are obtained through the following formula: in, is the associated weight Increase the number of training sessions. is the associated weight The training constant value of is the associated weight Reduce the number of training sessions. is the trained companion weight, Symmetric weight Increase the number of training sessions. Symmetric weight The training constant value of Symmetric weight Increase or decrease the number of training sessions.

[0012] Optionally, in the method according to the present invention, performing a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue includes: Determine a first interception point and a second interception point respectively spaced apart from the first intersection point and the second intersection point by preset distances along the extension direction of the vascular tissue; Determining a portion of the vascular tissue located between the first interception point and the second interception point as a vascular interception tissue corresponding to the aneurysm tissue; Based on the three-dimensional coordinate system, the blood vessel coordinate points constituting the blood vessel interception tissue and the aneurysm coordinate points constituting the aneurysm tissue are respectively acquired, and the blood vessel coordinate points and the aneurysm coordinate points are determined as a framework determination group; Determine the coordinate points corresponding to the X-axis coordinate extreme value, the Y-axis coordinate extreme value and the Z-axis coordinate extreme value in the framework determination group as the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point and the Z-axis extreme value coordinate point respectively; Generate a rectangular enclosing frame enclosing the aneurysm tissue and the cut-off portion of the blood vessel based on the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point, and the Z-axis extreme value coordinate point; A 3D printing operation is performed based on the rectangular enclosing frame to obtain a tissue model corresponding to the rectangular enclosing frame.

[0013] Optionally, in the method according to the present invention, determining a model opening on the tissue model, determining a corresponding filling angle based on the model opening, and instructing a medical staff to fill a coil prop into the interior of the tissue model through the model opening based on the filling angle, comprises: Determining a blood vessel model portion corresponding to the blood vessel cut portion and a tumor model portion corresponding to the aneurysm tissue based on the tissue model, and performing model segmentation on the blood vessel model portion to obtain a first blood vessel model and a second blood vessel model located on both sides of the tumor model portion; Determine a first pore diameter and a second pore diameter corresponding to the first blood vessel model and the second blood vessel model respectively, and determine the blood vessel model corresponding to the maximum pore diameter as the filling starting blood vessel; Determining the portion corresponding to the connected region surface in the tumor model portion as the model opening, and determining a model connection line corresponding to the intersecting connection line in the model opening; Determine the end of the filling start blood vessel away from the model opening as the filling end, and obtain the channel center point corresponding to the channel surface of the filling end; Retrieving a preset buffer distance value, and determining a first filling point and a second filling point located on both sides of the center point of the channel and having the preset buffer distance values ​​respectively, along a direction perpendicular to the extending direction of the filling starting blood vessel; Determine the endpoint of the line segment located on the model connection line and far away from the filling starting blood vessel as the target filling point, and respectively connect the first filling point, the second filling point, the pore center point and the target filling point with line segments to obtain a first filling line, a second filling line and a third filling line; The first filling angle, the second filling angle and the third filling angle between the first filling line, the second filling line, the third filling line and the model connection line are determined as an angle indication group, and based on the angle indication group, the medical staff is instructed to fill the coil prop into the interior of the tissue model through the filling starting blood vessel.

[0014] According to another aspect of the present invention, there is provided an aneurysm region identification platform, comprising: A tissue recognition module is configured to respond to the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical terminal, recognize the three-dimensional ultrasound image, and determine the aneurysmal tissue located in the three-dimensional ultrasound image; a feature extraction module configured to extract features from the aneurysm tissue, and to perform data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy, so as to obtain a risk evaluation value corresponding to the aneurysm tissue; a 3D printing module configured to compare the risk assessment value with a preset assessment value configured by the medical terminal, and to perform a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue when the risk assessment value is greater than the preset assessment value; The instruction filling module is configured to determine a model opening located on the tissue model, determine a corresponding filling angle based on the model opening, and instruct the medical staff to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle.

[0015] According to the solution of the present invention, when the server receives the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical end, it will identify the three-dimensional ultrasound image and determine the aneurysm tissue located in the three-dimensional ultrasound image with a certain degree of accuracy. Then, the server will extract features of the aneurysm tissue, thereby performing data evaluation on the aneurysm tissue from two dimensions, the associated dimension and the uniform dimension, and obtaining the risk assessment value of the aneurysm tissue. The present invention can also compare the risk assessment value with the actual assessment value, and continuously adjust the associated weight and the symmetric weight according to the actual situation, so that the associated weight and the symmetric weight are continuously updated and iterated to become more accurate. Then, the server will compare the risk assessment value with the preset assessment value configured by the medical end. When the risk assessment value is greater than the preset assessment value, it means that the risk level of the aneurysm tissue is relatively high, so it is necessary to simulate the corresponding surgical operation in advance. At this time, the server will perform a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue, and then determine the model opening located on the tissue model. Since different filling angles will lead to different filling ratios of the coil props, the present invention can determine three different filling angles for reference by medical staff under the condition of considering safety, and can meet the different filling ratio requirements of medical staff. The present invention can continuously improve the accuracy of risk assessment values ​​and provide medical staff with a certain reference value. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a method for identifying an aneurysm region according to an embodiment of the present invention is shown; Figure 2 A schematic diagram showing a connection angle according to an embodiment of the present invention is shown; Figure 3 A schematic diagram showing a vertical line correlation group according to an embodiment of the present invention is shown; Figure 4 A structural block diagram of an aneurysm region identification platform according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0017] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0018] Aneurysms are caused by lesions or damage to the arterial wall, resulting in localized or diffuse expansion or bulging of the arterial wall. They are mainly manifested as expansive, pulsating masses. They can occur in any part of the arterial system, but are more common in the main arteries of the limbs, the aorta, and the carotid arteries. The treatment of aneurysms in different parts of the body varies. The main treatment methods are surgical treatment, endovascular repair of aneurysms, and aneurysm embolization.

[0019] The inventors found in their research that different surgical plans are used for aneurysms of different risk levels. If medical staff can evaluate aneurysms with higher risks before surgery and simulate the surgical operation, they will be able to better understand the specific circumstances of the surgery and reduce the corresponding surgical risks.

[0020] To solve the problems in the prior art, the inventor proposes the solution of the present invention. An embodiment of the present invention provides an aneurysm region identification method, which can be executed in a computing device, wherein the computing device can be understood as a terminal device with data processing, such as a mobile phone or a computer.

[0021] Figure 1 A flow chart of a method for identifying an aneurysm region according to an embodiment of the present invention is shown. The method is suitable for being executed in a computing device.

[0022] like Figure 1 As shown, the purpose of this embodiment is to implement an aneurysm region identification method, which starts at step S102. In step S102, the following contents are included: In response to the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical care end, the three-dimensional ultrasound image is identified to determine the aneurysm tissue located in the three-dimensional ultrasound image.

[0023] For example, in this embodiment, when the server receives the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical terminal, it will identify the three-dimensional ultrasound image, thereby determining the aneurysm tissue located in the three-dimensional ultrasound image with a certain degree of accuracy.

[0024] In step S104, the following contents are included: Feature extraction is performed on the aneurysm tissue, and data evaluation is performed on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk evaluation value corresponding to the aneurysm tissue.

[0025] For example, in this embodiment, after determining the aneurysm tissue located in the three-dimensional ultrasound image, the server will extract features of the aneurysm tissue, and then perform data evaluation on the feature data corresponding to different feature dimensions based on a preset evaluation strategy, thereby obtaining a risk assessment value for the aneurysm tissue.

[0026] Furthermore, the above-mentioned “extracting features from the aneurysm tissue, and performing data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk evaluation value corresponding to the aneurysm tissue” further includes the following steps: Obtaining the extraction requirements of feature data corresponding to different feature dimensions configured by the medical side, wherein the feature dimensions include associated dimensions and uniform dimensions; Acquire a blood vessel tissue that is in communication with the aneurysm tissue, and determine a communication area surface between the blood vessel tissue and the aneurysm tissue; Determine, in the connected area surface along the extension direction of the vascular tissue, a first intersection point and a second intersection point where the aneurysm contour of the aneurysm tissue and the vascular contour of the vascular tissue have an intersection relationship, and connect the first intersection point with the second intersection point to obtain an intersection connection line; Performing coordinate processing on the three-dimensional ultrasound image based on the intersecting connection line to obtain a three-dimensional coordinate system corresponding to the three-dimensional ultrasound image, wherein any coordinate axis of the three-dimensional coordinate system coincides with the intersecting connection line; Determine each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determine a contour distribution and a contour symmetry corresponding to the aneurysm contour based on each contour coordinate point; Determine the profile distribution as feature data corresponding to the associated dimension, and determine the profile symmetry as feature data corresponding to the uniform dimension; Based on a preset evaluation strategy, data evaluation is performed on the obtained characteristic data of the associated dimension and the characteristic data of the uniform dimension to obtain a risk evaluation value of the aneurysm tissue.

[0027] For example, in this embodiment, the medical terminal can be understood as a terminal with interactive functions for use by medical staff, and the medical terminal can configure the corresponding different feature dimensions that can evaluate the risk of aneurysm tissue based on work experience. For example, it is necessary to determine whether other aneurysm tissues grow on an aneurysm tissue, that is, the associated dimension; and it is necessary to determine whether the morphology of the aneurysm tissue is smooth and symmetrical, that is, the uniform dimension.

[0028] Next, the server will obtain the vascular parts located on both sides of each aneurysm tissue, that is, the vascular tissue that is connected to each aneurysm tissue, and further determine the area connected between the aneurysm tissue and the vascular tissue, that is, the connected area surface. Furthermore, the server can determine two intersection points in the connected area surface along the tissue extension direction of the vascular tissue where the aneurysm contour of the aneurysm tissue and the vascular contour of the vascular tissue have an intersecting relationship, that is, the first intersection point and the second intersection point. The first intersection point and the second intersection point are point-connected to obtain an intersecting connection line.

[0029] Then, the server will coordinate the three-dimensional ultrasound image based on the intersecting connection lines, thereby obtaining a three-dimensional coordinate system corresponding to the three-dimensional ultrasound image, and any coordinate axis in the three-dimensional coordinate system coincides with the intersecting connection lines.

[0030] At this time, the server can determine the various contour coordinate points that make up the aneurysm contour according to the three-dimensional coordinate system, and determine the contour distribution and contour symmetry of the aneurysm contour according to each contour coordinate point. The server will determine the contour distribution as the feature data of the corresponding associated dimension, and the contour symmetry as the feature data of the corresponding uniform dimension, and then perform data evaluation on the obtained feature data of the corresponding associated dimension and the feature data of the corresponding uniform dimension respectively based on the preset evaluation strategy, so as to obtain the risk assessment value of the aneurysm tissue.

[0031] This embodiment can obtain various contour coordinate points by establishing a three-dimensional coordinate system, and then determine the contour distribution and contour symmetry of the aneurysm contour according to the various contour coordinate points, with a certain degree of accuracy.

[0032] Furthermore, the above-mentioned “determining each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determining a contour distribution corresponding to the aneurysm contour based on each contour coordinate point” further includes the following steps: Determine a coordinate axis having a perpendicular relationship with the connected region surface as a first target coordinate axis, and determine a coordinate axis coincident with the intersecting connection line as a second target coordinate axis; forming a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, and determining each contour coordinate point constituting the aneurysm contour and located in the target coordinate plane based on a three-dimensional coordinate system; Determine the contour coordinate point corresponding to the first intersection point as the distribution starting point, determine the contour coordinate point corresponding to the second intersection point as the distribution ending point, and determine the arrangement order from the distribution starting point to the distribution ending point as the distribution order; The distribution of each contour coordinate point is determined based on the distribution order to obtain a contour distribution corresponding to the aneurysm contour.

[0033] For example, in this embodiment, the server determines the coordinate axis that is perpendicular to the connected area surface as the first target coordinate axis, and determines the coordinate axis that coincides with the intersecting connection line as the second target coordinate axis. At this time, the server can form a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, thereby converting the three-dimensional state into a two-dimensional state, so that the server can subsequently determine the growth morphology of the aneurysm tissue accordingly.

[0034] Next, the server will determine the contour coordinate points that constitute the aneurysm contour and are located in the target coordinate plane based on the three-dimensional coordinate system, thereby determining the contour coordinate point corresponding to the first intersection point as the distribution starting point, and the contour coordinate point corresponding to the second intersection point as the distribution ending point, and determining the arrangement order from the distribution starting point to the distribution ending point as the distribution order, so that the server can distribute each contour coordinate point according to the distribution order, thereby obtaining the contour distribution of the aneurysm contour.

[0035] Furthermore, the above-mentioned “determining the distribution of each contour coordinate point based on the distribution order to obtain a contour distribution corresponding to the aneurysm contour” further includes the following steps: Based on the distribution order, two adjacent contour coordinate points are divided into the same coordinate difference value group, and a difference calculation based on the horizontal coordinate is performed to obtain each coordinate difference value corresponding to each coordinate difference value group; Comparing the coordinate difference values ​​in turn based on the calculation order, and determining the corresponding coordinate difference value groups showing continuous positive increase as first coordinate difference value groups, and determining the corresponding coordinate difference value groups showing continuous negative decrease as second coordinate difference value groups based on the comparison result; The first coordinate difference value groups and the second coordinate difference value groups located between adjacent ones are divided into the same comparison set to obtain each comparison set; Connecting two contour coordinate points in the first coordinate difference group and two contour coordinate points in the second coordinate difference group in the same comparison set to obtain a first point connection line and a second point connection line corresponding to the comparison set; Acquire a contour center point corresponding to the aneurysm contour, and acquire a connection angle between the first point connection line and the second point connection line corresponding to the same comparison set and oriented toward the contour center point; Compare the connection angle with a preset angle by numerical value, and determine the comparison set corresponding to the connection angle greater than the preset angle as a companion set; The aneurysm contour is divided into contours based on all the associated sets to obtain associated sub-contours, and each associated sub-contour is determined as a contour distribution corresponding to the aneurysm contour.

[0036] For example, in this embodiment, the server will classify two adjacent contour coordinate points into the same coordinate difference group in the order of distribution. For example, if the three contour coordinate points in the order of distribution are (a, b), (c, d), and (e, f), the server will first classify (a, b) and (c, d) into one coordinate difference group, and then classify (c, d) and (e, f) into another coordinate difference group. Then, the server will perform difference calculations on the horizontal coordinate values ​​of the two contour coordinate points in the same coordinate difference group, thereby obtaining coordinate differences corresponding to each coordinate difference group.

[0037] At this time, the server will compare the values ​​of each coordinate difference in the order of calculation, so as to determine each coordinate difference group showing a continuous positive increase as each first coordinate difference group, and each coordinate difference group showing a continuous negative decrease as each second coordinate difference group. Then, the server will divide the first coordinate difference group and the second coordinate difference group located between adjacent ones into the same comparison set, so as to obtain each comparison set.

[0038] At this time, the server will connect the two contour coordinate points in the first coordinate difference group in the same comparison set, and connect the two contour coordinate points in the second coordinate difference group, so as to obtain the first point connection line and the second point connection line corresponding to the comparison set. Then, the server will obtain the contour center point of the aneurysm contour, and obtain the connection angle between the first point connection line and the second point connection line of the same comparison set toward the contour center point, such as Figure 2 shown.

[0039] like Figure 2 As shown, when other aneurysm tissues grow on one aneurysm tissue, a connection angle greater than 180 degrees appears in the direction toward the center point of the contour. Therefore, based on this characteristic, it can be judged whether there is a corresponding associated relationship in the aneurysm tissue, that is, by setting 180 degrees as the preset angle, and comparing the corresponding connection angle with the preset angle numerically, when the connection angle is greater than the preset angle, it means that other aneurysm tissues have grown on the aneurysm tissue, that is, the two aneurysm tissues have a associated relationship, so the server will determine the comparison set as a associated set.

[0040] Then, the server will divide the aneurysm contour according to all the associated sets to obtain each associated sub-contour. For example, when another aneurysm tissue grows on an aneurysm tissue, the server will obtain 4 associated sub-contours through the above method. Finally, the server determines each associated sub-contour as a contour distribution corresponding to the aneurysm contour.

[0041] This embodiment can determine the contour distribution of the aneurysm contour from the associated dimension by obtaining the angle of the connection angle, with a certain degree of accuracy.

[0042] Furthermore, the above-mentioned “determining each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determining the contour symmetry corresponding to the aneurysm contour based on each contour coordinate point” further includes the following steps: Determine a coordinate axis having a perpendicular relationship with the connected region surface as a first target coordinate axis, and determine a coordinate axis coincident with the intersecting connection line as a second target coordinate axis; forming a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, and determining each contour coordinate point constituting the aneurysm contour and located in the target coordinate plane based on a three-dimensional coordinate system; Determine a line segment center point corresponding to the intersecting connecting line, and establish an intersecting vertical line connected to the aneurysm contour and perpendicular to the intersecting connecting line in the target coordinate plane based on the line segment center point; Dividing the intersecting vertical lines into points, and determining vertical coordinate points corresponding to the obtained vertical points based on the three-dimensional coordinate system; Determine two contour coordinate points located on both sides of the same vertical coordinate point as vertical-line related groups along a direction parallel to the intersecting connecting line, and obtain vertical-line related groups corresponding to each vertical coordinate point; Determine each coordinate distance between two contour coordinate points in the same vertical line related group and the corresponding vertical line coordinate point, and perform difference calculation on each coordinate distance to obtain each symmetric difference; Each symmetric difference is compared with a preset difference, and the ratio of the number of differences corresponding to all symmetric differences greater than the preset difference to the number of coordinates of all vertical coordinate points is calculated to obtain the contour symmetry corresponding to the aneurysm contour.

[0043] For example, in this embodiment, the server determines the coordinate axis that is perpendicular to the connected area surface as the first target coordinate axis, and determines the coordinate axis that coincides with the intersecting connection line as the second target coordinate axis. Then, the server determines the surface formed by the first target coordinate axis and the second target coordinate axis as the target coordinate surface, and determines the various contour coordinate points that constitute the aneurysm contour and are located in the target coordinate surface according to the three-dimensional coordinate system.

[0044] At this time, the server will determine the center point of the intersecting connection line, that is, the center point of the line segment, and establish an intersecting vertical line in the target coordinate plane that is connected to the aneurysm contour and perpendicular to the intersecting connection line based on the center point of the line segment. Next, the server will divide the intersecting vertical line into points to obtain each vertical point, and determine the vertical coordinate point of each vertical point based on the three-dimensional coordinate system. Then, along the direction parallel to the intersecting connection line, the two contour coordinate points located on both sides of the same vertical coordinate point are determined as vertical related groups, thereby obtaining each vertical related group corresponding to each vertical coordinate point, such as Figure 3 shown.

[0045] Next, the server will determine the coordinate distances between the two contour coordinate points in the same vertical line related group and the corresponding vertical line coordinate points, and perform difference calculations on the coordinate distances to obtain the symmetric differences, and then compare the symmetric differences with the preset differences. When the symmetric difference is less than or equal to the preset difference, it indicates that the aneurysm contour is symmetrical or nearly symmetrical; when the aneurysm contour symmetric difference is greater than the preset difference, it indicates that the aneurysm contour is asymmetrical. At this time, the server will calculate the ratio of the number of differences of all symmetric differences greater than the preset difference to the number of coordinates of all corresponding vertical line coordinate points to obtain the contour symmetry of the aneurysm contour. For example, if the number of differences of all symmetric differences greater than the preset difference is 3 and the number of coordinates of all corresponding vertical line coordinate points is 5, the corresponding calculation formula is 3 / 5=60%, so the contour symmetry of the aneurysm contour is 40%.

[0046] Furthermore, the above-mentioned “based on a preset evaluation strategy, performing data evaluation on the obtained feature data of the associated dimension and the feature data of the uniform dimension to obtain a risk evaluation value corresponding to the aneurysm tissue” further includes the following steps: Determine the number of contours corresponding to each associated sub-contour, and normalize the number of contours and the symmetry of the contours to obtain an associated value and a symmetry value; The associated numerical value and the symmetric numerical value are respectively multiplied by the retrieved associated weight and the symmetric weight to obtain an associated evaluation value and a symmetric evaluation value; The associated assessment value and the symmetric assessment value are summed up to obtain a risk assessment value corresponding to the aneurysm tissue.

[0047] For example, in this embodiment, the server first determines the number of contours of each associated sub-contour, and normalizes the number of contours and the degree of contour symmetry, respectively, to obtain an associated value and a symmetry value.

[0048] Since the presence of an aneurysm tissue with associated conditions and the symmetry of the aneurysm tissue contour have different effects on the risk level of the aneurysm tissue, the associated weight and symmetry weight are preset in advance in the server. The server will multiply the associated value and symmetry value with the retrieved associated weight and symmetry weight respectively to obtain the associated evaluation value and symmetry evaluation value. The associated evaluation value and the symmetry evaluation value are then summed to obtain the risk evaluation value of the aneurysm tissue.

[0049] Furthermore, the above method further comprises the following steps: Acquire an actual assessment value based on the aneurysm tissue by the medical end, and compare the risk assessment value corresponding to the aneurysm tissue with the actual assessment value; When the actual evaluation value is greater than the risk evaluation value, the associated weight and the symmetric weight are respectively increased by training; When the actual evaluation value is less than the risk evaluation value, the associated weight and the symmetric weight are respectively trained to be reduced; The companion weight and symmetric weight after training are obtained through the following formula: in, is the associated weight Increase the number of training sessions. is the associated weight The training constant value of is the associated weight Reduce the number of training sessions. is the trained companion weight, Symmetric weight Increase the number of training sessions. Symmetric weight The training constant value of Symmetric weight Increase or decrease the number of training sessions.

[0050] For example, in this embodiment, since this method is to evaluate the risk of aneurysm tissue, a training adjustment parameter is set in this embodiment, so that the subsequent medical end can compare the actual evaluation value with the risk evaluation value, so as to determine whether the set associated weight and symmetric weight are applicable. Therefore, the server will obtain the actual evaluation value of the aneurysm tissue by the medical end, and compare the risk evaluation value of the aneurysm tissue with the actual evaluation value.

[0051] When the actual assessment value is greater than the risk assessment value, the server will increase the associated weight and the symmetric weight respectively; when the actual assessment value is less than the risk assessment value, the server will decrease the associated weight and the symmetric weight respectively, so as to obtain the updated associated weight and symmetric weight.

[0052] This embodiment can compare the risk assessment value with the actual assessment value, and continuously adjust the associated weights and symmetric weights according to the actual situation, so that the associated weights and symmetric weights are continuously updated and iterated to become more accurate, which is convenient for providing medical staff with certain reference later.

[0053] In step S106, the following contents are included: The risk assessment value is numerically compared with a preset assessment value configured by the medical side, and when the risk assessment value is greater than the preset assessment value, a 3D printing operation is performed based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue.

[0054] For example, in this embodiment, the server will compare the risk assessment value with the preset assessment value configured by the medical end. When the risk assessment value is greater than the preset assessment value, it means that the risk level of the aneurysm tissue is relatively high, so it is necessary to simulate the corresponding surgical operation in advance. At this time, the server will perform a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue.

[0055] Furthermore, the above-mentioned “performing a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue” further includes the following steps: Determine a first interception point and a second interception point respectively spaced apart from the first intersection point and the second intersection point by preset distances along the extension direction of the vascular tissue; Determining a portion of the vascular tissue located between the first interception point and the second interception point as a vascular interception tissue corresponding to the aneurysm tissue; Based on the three-dimensional coordinate system, the blood vessel coordinate points constituting the blood vessel interception tissue and the aneurysm coordinate points constituting the aneurysm tissue are respectively acquired, and the blood vessel coordinate points and the aneurysm coordinate points are determined as a framework determination group; Determine the coordinate points corresponding to the X-axis coordinate extreme value, the Y-axis coordinate extreme value and the Z-axis coordinate extreme value in the framework determination group as the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point and the Z-axis extreme value coordinate point respectively; Generate a rectangular enclosing frame enclosing the aneurysm tissue and the cut-off portion of the blood vessel based on the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point, and the Z-axis extreme value coordinate point; A 3D printing operation is performed based on the rectangular enclosing frame to obtain a tissue model corresponding to the rectangular enclosing frame.

[0056] For example, in this embodiment, since the filling starting position on the vascular tissue needs to be at a certain distance from the aneurysm tissue in order to ensure safety during the operation, the server will determine the first interception point and the second interception point along the extension direction of the vascular tissue, which are spaced from the first intersection point and the second intersection point by preset distances, respectively, so as to determine the portion of the vascular tissue between the first interception point and the second interception point as the vascular interception tissue of the aneurysm tissue.

[0057] At this time, the server will obtain the coordinate points of each blood vessel constituting the vascular interception tissue and the coordinate points of each aneurysm constituting the aneurysm tissue according to the three-dimensional coordinate system, thereby determining each blood vessel coordinate point and each aneurysm coordinate point as a framework determination group. Then, the server will determine each coordinate point corresponding to the X-axis coordinate extreme value, the Y-axis coordinate extreme value, and the Z-axis coordinate extreme value in the framework determination group as an X-axis extreme value coordinate point, a Y-axis extreme value coordinate point, and a Z-axis extreme value coordinate point, and then generate a rectangular enclosing frame enclosing the aneurysm tissue and the vascular interception part according to the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point, and the Z-axis extreme value coordinate point, so that the server can perform the corresponding 3D printing operation according to the rectangular enclosing frame, thereby obtaining a tissue model corresponding to the rectangular enclosing frame.

[0058] This embodiment can ensure the integrity of the obtained tissue model by generating a rectangular enclosing frame that encloses the aneurysm tissue and the cut portion of the blood vessel, so as to facilitate subsequent medical care to perform corresponding simulated surgical operations.

[0059] In step S108, the following contents are included: A model opening on the tissue model is determined, a corresponding filling angle is determined based on the model opening, and a medical staff is instructed to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle.

[0060] For example, in this embodiment, the server first determines the model opening on the tissue model, then determines the corresponding filling angle according to the model opening, and instructs the medical staff to fill the coil prop into the interior of the tissue model through the model opening according to the filling angle.

[0061] Furthermore, the above-mentioned “determining a model opening on the tissue model, determining a corresponding filling angle based on the model opening, and instructing the medical staff to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle” also includes the following steps: Determining a blood vessel model portion corresponding to the blood vessel cut portion and a tumor model portion corresponding to the aneurysm tissue based on the tissue model, and performing model segmentation on the blood vessel model portion to obtain a first blood vessel model and a second blood vessel model located on both sides of the tumor model portion; Determine a first pore diameter and a second pore diameter corresponding to the first blood vessel model and the second blood vessel model respectively, and determine the blood vessel model corresponding to the maximum pore diameter as the filling starting blood vessel; Determining the portion corresponding to the connected region surface in the tumor model portion as the model opening, and determining a model connection line corresponding to the intersecting connection line in the model opening; Determine the end of the filling start blood vessel away from the model opening as the filling end, and obtain the channel center point corresponding to the channel surface of the filling end; Retrieving a preset buffer distance value, and determining a first filling point and a second filling point located on both sides of the center point of the channel and having the preset buffer distance values ​​respectively, along a direction perpendicular to the extending direction of the filling starting blood vessel; Determine the endpoint of the line segment located on the model connection line and far away from the filling starting blood vessel as the target filling point, and respectively connect the first filling point, the second filling point, the pore center point and the target filling point with line segments to obtain a first filling line, a second filling line and a third filling line; The first filling angle, the second filling angle and the third filling angle between the first filling line, the second filling line, the third filling line and the model connection line are determined as an angle indication group, and based on the angle indication group, the medical staff is instructed to fill the coil prop into the interior of the tissue model through the filling starting blood vessel.

[0062] For example, in this embodiment, when determining the starting position for filling, the dimension of the thickness of the blood vessel, i.e., the pore diameter, needs to be considered, because it is safer to insert the coil prop in an area with a relatively larger pore diameter. Therefore, the server will first determine the vascular model portion corresponding to the vascular cut portion and the tumor model portion corresponding to the aneurysm tissue according to the tissue model, and then divide the vascular model portion to obtain the first vascular model and the second vascular model located on both sides of the tumor model portion. The first pore diameter corresponding to the first vascular model and the second pore diameter corresponding to the second vascular model are determined respectively, and the vascular model corresponding to the largest pore diameter is determined as the starting vessel for filling.

[0063] Next, the server determines the part corresponding to the connected area surface in the tumor model as the model opening, and determines the model connection line corresponding to the intersecting connection line in the model opening. Then, the server determines the end of the filling start blood vessel away from the model opening as the filling end, and obtains the channel center point corresponding to the channel surface of the filling end. In order to ensure a certain degree of safety, when filling the coil props, it is best to make the insertion position of the coil props in the blood vessel model part keep a certain distance from the blood vessel wall. Therefore, the server will call the preset buffer distance value, and determine the first filling point and the second filling point located on both sides of the center point of the channel and having preset buffer distance values ​​respectively along the direction perpendicular to the extension direction of the filling starting blood vessel, and then determine the end point of the line segment located on the model connecting line and away from the filling starting blood vessel as the target filling point, and respectively connect the first filling point, the second filling point and the center point of the channel with the target filling point by line segments, so as to obtain the first filling line, the second filling line and the third filling line, and then determine the first filling angle, the second filling angle and the third filling angle between the first filling line, the second filling line, the third filling line and the model connecting line as the angle indication group, and instruct the medical staff to fill the coil props into the interior of the tissue model through the filling starting blood vessel according to the angle indication group.

[0064] Since different filling angles will result in different filling ratios of the coil prop, this embodiment can determine three different filling angles for reference by medical staff while taking safety into consideration, thereby meeting the different filling ratio requirements of medical staff.

[0065] According to the solution of the present invention, when the server receives the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical end, it will identify the three-dimensional ultrasound image and determine the aneurysm tissue located in the three-dimensional ultrasound image with a certain degree of accuracy. Then, the server will extract features of the aneurysm tissue, thereby performing data evaluation on the aneurysm tissue from two dimensions, the associated dimension and the uniform dimension, and obtaining the risk assessment value of the aneurysm tissue. The present invention can also compare the risk assessment value with the actual assessment value, and continuously adjust the associated weight and the symmetric weight according to the actual situation, so that the associated weight and the symmetric weight are continuously updated and iterated to become more accurate. Then, the server will compare the risk assessment value with the preset assessment value configured by the medical end. When the risk assessment value is greater than the preset assessment value, it means that the risk level of the aneurysm tissue is relatively high, so it is necessary to simulate the corresponding surgical operation in advance. At this time, the server will perform a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue, and then determine the model opening located on the tissue model. Since different filling angles will lead to different filling ratios of the coil props, the present invention can determine three different filling angles for reference by medical staff under the condition of considering safety, and can meet the different filling ratio requirements of medical staff. The present invention can continuously improve the accuracy of risk assessment values ​​and provide medical staff with a certain reference value.

[0066] Another embodiment of the present invention provides an aneurysm region identification platform. Figure 2 The corresponding platform block diagram includes: A tissue recognition module is configured to respond to the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical terminal, recognize the three-dimensional ultrasound image, and determine the aneurysmal tissue located in the three-dimensional ultrasound image; a feature extraction module configured to extract features from the aneurysm tissue, and to perform data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy, so as to obtain a risk evaluation value corresponding to the aneurysm tissue; a 3D printing module configured to compare the risk assessment value with a preset assessment value configured by the medical terminal, and to perform a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue when the risk assessment value is greater than the preset assessment value; The instruction filling module is configured to determine a model opening located on the tissue model, determine a corresponding filling angle based on the model opening, and instruct the medical staff to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle.

[0067] In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the examples of the present invention. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to implement the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the preferred embodiment of the present invention.

[0068] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0069] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0070] Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in the devices described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0071] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of submodules or subunits or subcomponents.

[0072] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0073] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0074] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0075] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is primarily selected for readability and instructional purposes, rather than for explaining or limiting the subject matter of the present invention.

Claims

1. A method for identifying an aneurysm region, characterized in that: The following steps are involved: In response to the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical terminal, identifying the three-dimensional ultrasound image, and determining the aneurysmal tissue located in the three-dimensional ultrasound image; Extracting features of the aneurysm tissue, and performing data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk evaluation value corresponding to the aneurysm tissue; Comparing the risk assessment value with a preset assessment value configured by the medical end, and, if the risk assessment value is greater than the preset assessment value, performing a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue; A model opening on the tissue model is determined, a corresponding filling angle is determined based on the model opening, and a medical staff is instructed to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle.

2. The aneurysm region identification method according to claim 1, characterized in that: Extracting features of the aneurysm tissue, and evaluating the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy to obtain a risk assessment value corresponding to the aneurysm tissue, including: Obtaining the extraction requirements of feature data corresponding to different feature dimensions configured by the medical side, wherein the feature dimensions include associated dimensions and uniform dimensions; Acquire a blood vessel tissue that is in communication with the aneurysm tissue, and determine a communication area surface between the blood vessel tissue and the aneurysm tissue; Determine, in the connected area surface along the extension direction of the vascular tissue, a first intersection point and a second intersection point where the aneurysm contour of the aneurysm tissue and the vascular contour of the vascular tissue have an intersection relationship, and connect the first intersection point with the second intersection point to obtain an intersection connection line; Performing coordinate processing on the three-dimensional ultrasound image based on the intersecting connection line to obtain a three-dimensional coordinate system corresponding to the three-dimensional ultrasound image, wherein any coordinate axis of the three-dimensional coordinate system coincides with the intersecting connection line; Determine each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determine a contour distribution and a contour symmetry corresponding to the aneurysm contour based on each contour coordinate point; Determine the profile distribution as feature data corresponding to the associated dimension, and determine the profile symmetry as feature data corresponding to the uniform dimension; Based on a preset evaluation strategy, data evaluation is performed on the obtained characteristic data of the associated dimension and the characteristic data of the uniform dimension to obtain a risk evaluation value of the aneurysm tissue.

3. The aneurysm region identification method according to claim 2, characterized in that: Determining each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determining a contour distribution corresponding to the aneurysm contour based on each contour coordinate point, including: Determine a coordinate axis having a perpendicular relationship with the connected region surface as a first target coordinate axis, and determine a coordinate axis coincident with the intersecting connection line as a second target coordinate axis; forming a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, and determining each contour coordinate point constituting the aneurysm contour and located in the target coordinate plane based on a three-dimensional coordinate system; Determine the contour coordinate point corresponding to the first intersection point as the distribution starting point, determine the contour coordinate point corresponding to the second intersection point as the distribution ending point, and determine the arrangement order from the distribution starting point to the distribution ending point as the distribution order; The distribution of each contour coordinate point is determined based on the distribution order to obtain a contour distribution corresponding to the aneurysm contour.

4. The aneurysm region identification method according to claim 3, characterized in that: Determining the distribution of each contour coordinate point based on the distribution order to obtain a contour distribution corresponding to the aneurysm contour includes: Based on the distribution order, two adjacent contour coordinate points are divided into the same coordinate difference value group, and a difference calculation based on the horizontal coordinate is performed to obtain each coordinate difference value corresponding to each coordinate difference value group; Comparing the coordinate difference values ​​in turn based on the calculation order, and determining the corresponding coordinate difference value groups showing continuous positive increase as first coordinate difference value groups, and determining the corresponding coordinate difference value groups showing continuous negative decrease as second coordinate difference value groups based on the comparison result; The first coordinate difference value groups and the second coordinate difference value groups located between adjacent ones are divided into the same comparison set to obtain each comparison set; Connecting two contour coordinate points in the first coordinate difference group and two contour coordinate points in the second coordinate difference group in the same comparison set to obtain a first point connection line and a second point connection line corresponding to the comparison set; Acquire a contour center point corresponding to the aneurysm contour, and acquire a connection angle between the first point connection line and the second point connection line corresponding to the same comparison set and oriented toward the contour center point; Compare the connection angle with a preset angle by numerical value, and determine the comparison set corresponding to the connection angle greater than the preset angle as a companion set; The aneurysm contour is contour-divided based on all the associated sets to obtain associated sub-contours, and each associated sub-contour is determined as a contour distribution corresponding to the aneurysm contour.

5. The aneurysm region identification method according to claim 2, characterized in that: Determining each contour coordinate point constituting the aneurysm contour based on the three-dimensional coordinate system, and determining the contour symmetry corresponding to the aneurysm contour based on each contour coordinate point, including: Determine a coordinate axis having a perpendicular relationship with the connected region surface as a first target coordinate axis, and determine a coordinate axis coincident with the intersecting connection line as a second target coordinate axis; forming a target coordinate plane based on the first target coordinate axis and the second target coordinate axis, and determining each contour coordinate point constituting the aneurysm contour and located in the target coordinate plane based on a three-dimensional coordinate system; Determine a line segment center point corresponding to the intersecting connecting line, and establish an intersecting vertical line connected to the aneurysm contour and perpendicular to the intersecting connecting line in the target coordinate plane based on the line segment center point; Dividing the intersecting vertical lines into points, and determining vertical coordinate points corresponding to the obtained vertical points based on the three-dimensional coordinate system; Determine two contour coordinate points located on both sides of the same vertical coordinate point as vertical-line related groups along a direction parallel to the intersecting connecting line, and obtain vertical-line related groups corresponding to each vertical coordinate point; Determine each coordinate distance between two contour coordinate points in the same vertical line related group and the corresponding vertical line coordinate point, and perform difference calculation on each coordinate distance to obtain each symmetric difference; Each symmetric difference is compared with a preset difference, and the ratio of the number of differences corresponding to all symmetric differences greater than the preset difference to the number of coordinates of all vertical coordinate points is calculated to obtain the contour symmetry corresponding to the aneurysm contour.

6. The aneurysm region identification method according to claim 4, characterized in that: Based on a preset evaluation strategy, data evaluation is performed on the obtained feature data of the associated dimension and the feature data of the uniform dimension to obtain a risk evaluation value corresponding to the aneurysm tissue, including: Determine the number of contours corresponding to each associated sub-contour, and normalize the number of contours and the symmetry of the contours to obtain an associated value and a symmetry value; The associated numerical value and the symmetric numerical value are respectively multiplied by the retrieved associated weight and the symmetric weight to obtain an associated evaluation value and a symmetric evaluation value; The associated assessment value and the symmetric assessment value are summed up to obtain a risk assessment value corresponding to the aneurysm tissue.

7. The aneurysm region identification method according to claim 6, characterized in that: The method further comprises: Acquire an actual assessment value based on the aneurysm tissue by the medical end, and compare the risk assessment value corresponding to the aneurysm tissue with the actual assessment value; When the actual evaluation value is greater than the risk evaluation value, the associated weight and the symmetric weight are respectively increased by training; When the actual evaluation value is less than the risk evaluation value, the associated weight and the symmetric weight are respectively trained to be reduced; The companion weight and symmetric weight after training are obtained through the following formula: in, is the associated weight Increase the number of training sessions. is the associated weight The training constant value of is the associated weight Reduce the number of training sessions. is the trained companion weight, Symmetric weight Increase the number of training sessions. Symmetric weight The training constant value of Symmetric weight Increase or decrease the number of training sessions.

8. The aneurysm region identification method according to claim 2, characterized in that: Performing a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue includes: Determine a first interception point and a second interception point respectively spaced apart from the first intersection point and the second intersection point by preset distances along the extension direction of the vascular tissue; Determining a portion of the vascular tissue located between the first interception point and the second interception point as a vascular interception tissue corresponding to the aneurysm tissue; Based on the three-dimensional coordinate system, the blood vessel coordinate points constituting the blood vessel interception tissue and the aneurysm coordinate points constituting the aneurysm tissue are respectively acquired, and the blood vessel coordinate points and the aneurysm coordinate points are determined as a framework determination group; Determine the coordinate points corresponding to the X-axis coordinate extreme value, the Y-axis coordinate extreme value and the Z-axis coordinate extreme value in the framework determination group as the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point and the Z-axis extreme value coordinate point respectively; Generate a rectangular enclosing frame enclosing the aneurysm tissue and the cut-off portion of the blood vessel based on the X-axis extreme value coordinate point, the Y-axis extreme value coordinate point, and the Z-axis extreme value coordinate point; A 3D printing operation is performed based on the rectangular enclosing frame to obtain a tissue model corresponding to the rectangular enclosing frame.

9. The aneurysm region identification method according to claim 2, characterized in that: Determining a model opening on the tissue model, determining a corresponding filling angle based on the model opening, and instructing a medical staff to fill a coil prop into the interior of the tissue model through the model opening based on the filling angle, including: Determining a blood vessel model portion corresponding to the blood vessel cut portion and a tumor model portion corresponding to the aneurysm tissue based on the tissue model, and performing model segmentation on the blood vessel model portion to obtain a first blood vessel model and a second blood vessel model located on both sides of the tumor model portion; Determine a first pore diameter and a second pore diameter corresponding to the first blood vessel model and the second blood vessel model respectively, and determine the blood vessel model corresponding to the maximum pore diameter as the filling starting blood vessel; Determining the portion corresponding to the connected region surface in the tumor model portion as the model opening, and determining a model connection line corresponding to the intersecting connection line in the model opening; Determine the end of the filling start blood vessel away from the model opening as the filling end, and obtain the channel center point corresponding to the channel surface of the filling end; Retrieving a preset buffer distance value, and determining a first filling point and a second filling point located on both sides of the center point of the channel and having the preset buffer distance values ​​respectively, along a direction perpendicular to the extending direction of the filling starting blood vessel; Determine the endpoint of the line segment located on the model connection line and far away from the filling starting blood vessel as the target filling point, and respectively connect the first filling point, the second filling point, the pore center point and the target filling point with line segments to obtain a first filling line, a second filling line and a third filling line; The first filling angle, the second filling angle and the third filling angle between the first filling line, the second filling line, the third filling line and the model connection line are determined as an angle indication group, and based on the angle indication group, the medical staff is instructed to fill the coil prop into the interior of the tissue model through the filling starting blood vessel.

10. An aneurysm region identification platform, characterized in that: include: a tissue identification module configured to identify the three-dimensional ultrasound image of the artery of the corresponding patient sent by the medical terminal, and determine the aneurysmal tissue located in the three-dimensional ultrasound image; a feature extraction module configured to extract features from the aneurysm tissue, and to perform data evaluation on the obtained feature data corresponding to different feature dimensions based on a preset evaluation strategy, so as to obtain a risk evaluation value corresponding to the aneurysm tissue; a 3D printing module configured to compare the risk assessment value with a preset assessment value configured by the medical terminal, and to perform a 3D printing operation based on the aneurysm tissue to obtain a tissue model corresponding to the aneurysm tissue when the risk assessment value is greater than the preset assessment value; The filling instruction module is configured to determine a model opening located on the tissue model, determine a corresponding filling angle based on the model opening, and instruct the medical staff to fill the coil prop into the interior of the tissue model through the model opening based on the filling angle.

Images