CN116503395A - Method, device and equipment for automatically obtaining morphological parameters aiming at wide-neck aneurysm - Google Patents
Method, device and equipment for automatically obtaining morphological parameters aiming at wide-neck aneurysm Download PDFInfo
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- 206010002329 Aneurysm Diseases 0.000 title claims abstract description 118
- 230000000877 morphologic effect Effects 0.000 title claims abstract description 59
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
- A61B5/02014—Determining aneurysm
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Abstract
The application relates to a method, a device and equipment for automatically obtaining morphological parameters of a wide-neck aneurysm, wherein a blood vessel center line is generated on a blood vessel three-dimensional model related to a target aneurysm, a first tumor top and a corresponding first center line influence area are determined, a spherical neighborhood is constructed by taking the first tumor top as a sphere center, points positioned on the blood vessel three-dimensional model in the spherical neighborhood are traversed, the point farthest from the first center line influence area is taken as a second tumor top, a plurality of tumor tops are repeatedly determined until the distance between the current tumor top position and the previous tumor top position is smaller than a preset value, the current obtained tumor top position is the final tumor top, a tumor neck plane and a tumor cavity model are determined on the blood vessel three-dimensional model according to the final tumor top, and calculation of the morphological parameters of the aneurysm is performed according to the tumor cavity model and the tumor neck plane. By adopting the method, accurate morphological parameters of the aneurysm can be quickly and automatically obtained.
Description
Technical Field
The application relates to the technical field of medical image processing, in particular to a method, a device and equipment for automatically obtaining morphological parameters aiming at a wide carotid aneurysm.
Background
Intracranial aneurysms refer to abnormal bulging of the intracranial arterial wall, with an overall prevalence of about 3% -5%. Although most intracranial aneurysms do not rupture for life, once ruptured, they cause subarachnoid hemorrhage, with mortality rates up to 40%. Thus, it is particularly important to screen and evaluate the risk of rupture of an aneurysm in a timely manner.
The risk of rupture of an aneurysm is often strongly correlated with the clinical characteristics of the patient, the morphological characteristics of the aneurysm, and the hemodynamic characteristics. Wherein morphological assessment is an important clinical means of predicting the risk of rupture of an aneurysm.
Morphological evaluation in the current clinical scenario is mainly based on manual measurement of two-dimensional images, and the measurement result deviates from the true three-dimensional geometry of the aneurysm. In addition, the selection of the visual angle of the image and the selection of the measuring position are different among different evaluators. Therefore, the manual measurement means have the problems of low accuracy and low repeatability.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, and device for automatically obtaining morphological parameters of a wide-necked aneurysm that can automatically obtain the morphological parameters of the wide-necked aneurysm.
A method of automatically deriving morphological parameters for a wide-necked aneurysm, the method comprising:
acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
determining a first control point and a second control point of the target aneurysm cavity on the blood vessel three-dimensional model according to the final tumor top and a blood vessel central line;
determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
and calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
In one embodiment, the generating a vessel centerline from the vessel three-dimensional model includes:
determining a vessel entry point and a vessel exit point on the vessel three-dimensional model;
generating the vessel centerline in the vessel three-dimensional model from the vessel entry point and vessel exit point.
In one embodiment, determining a corresponding first centerline impact region on a vessel centerline from the first tumor apex comprises:
taking a point which is away from the first tumor top as a first closest point on the blood vessel centerline, and calculating a vector from the first closest point to the first tumor top to obtain a first tumor top vector;
generating a first vector sequence with the same direction and different sizes as the first tumor top vector on the blood vessel central line;
constructing coordinate axes according to the vector sizes and points on the vessel center line corresponding to each vector, mapping the first vector sequence onto the coordinate axes, and interpolating the coordinate axes by using a spline curve to obtain a first vector size function;
performing gradient calculation on each point on the first vector magnitude function by using a central difference format, and obtaining a first gradient distribution after taking an absolute value of a calculation result;
calculating an average value of the first gradient distribution, and dividing points in the first gradient distribution into large gradient points and small gradient points according to the average value;
searching from the first nearest point to two sides on the blood vessel central line, continuing searching until a small gradient appears after the first large gradient point appears on the two sides, stopping searching, and returning to the large gradient point in front of the small gradient point, wherein the large gradient point obtained at the moment is used as an endpoint;
the portion of the vessel centerline between the endpoints defined on either side of the first closest point is the first centerline impact region.
In one embodiment, the generating the first vector sequence with the same direction and different size with the first tumor top vector on the blood vessel centerline includes:
traversing all points on the blood vessel center line from the first closest point along the two sides of the blood vessel center line according to a preset step length, and transmitting a straight line at each point along the direction of a first tumor top vector until the straight line intersects with the blood vessel, thereby generating a first vector sequence.
In one embodiment, the constructing coordinate axes according to the vector sizes and the points on the vessel center line corresponding to the vectors includes:
taking the vector size of the first vector sequence as an ordinate;
and taking the point on the blood vessel central line corresponding to the vector in the first vector sequence as an abscissa.
In one embodiment, the determining the first control point and the second control point of the target aneurysm cavity on the three-dimensional model of the blood vessel based on the final tumor top and the blood vessel centerline comprises:
taking the point closest to the final tumor top on the blood vessel centerline as the final closest point;
determining a corresponding final centerline impact region on a vessel centerline according to the final closest point;
and respectively transmitting straight lines along the direction of the final tumor top vector at two ends of the final central line influence area until the two straight lines intersect with the blood vessel, wherein the two intersection points are the first control point and the second control point respectively.
In one embodiment, the determining the tumor neck plane on the three-dimensional model of the blood vessel from the final tumor top, the first control point, and the second control point comprises:
establishing a first plane according to the final tumor top, the first control point and the second control point;
establishing a second plane perpendicular to the first plane according to the first control point and the second control point;
the first control point and the second control point are connected to form a first plane, and the first plane and the second plane are respectively rotated clockwise and anticlockwise for a plurality of times according to a preset interval angle to generate a candidate plane set;
and calculating the area surrounded by the intersection line of each plane in the candidate plane set and the three-dimensional vascular model, and selecting the plane corresponding to the minimum area as the tumor neck plane.
An apparatus for automatically deriving morphological parameters for a wide-necked aneurysm, the apparatus comprising:
the blood vessel three-dimensional model construction module is used for acquiring a blood vessel image related to the target aneurysm and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
the first tumor top determining module is used for generating a blood vessel center line according to the blood vessel three-dimensional model and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
the second tumor top determining module is used for determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical domain, and taking the point farthest from the first central line influence area as a second tumor top;
a final tumor top determining module, configured to determine a corresponding second central line influence area on a central line of the blood vessel according to the second tumor top, and continuously determine a next tumor top position until a distance between a currently obtained tumor top position and a previously obtained tumor top position is smaller than a preset value, where the currently obtained tumor top position is the final tumor top;
the control point determining module is used for determining a first control point and a second control point of the target aneurysm cavity on the three-dimensional model of the blood vessel according to the final tumor top and the blood vessel center line;
the tumor cavity module obtaining module is used for determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is located as a tumor cavity model;
and the morphological parameter obtaining module is used for calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
determining a first control point and a second control point of the target aneurysm cavity on the blood vessel three-dimensional model according to the final tumor top and a blood vessel central line;
determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
and calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
determining a first control point and a second control point of the target aneurysm cavity on the blood vessel three-dimensional model according to the final tumor top and a blood vessel central line;
determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
and calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
According to the method, the device and the equipment for automatically obtaining the morphological parameters of the wide carotid aneurysm, a corresponding vascular three-dimensional model is constructed according to a vascular image related to the target aneurysm, a vascular central line is generated on the model, a first tumor top is determined, a corresponding first central line influence area is determined on the vascular central line according to the tumor top, a spherical neighborhood is constructed by taking the first tumor top as a spherical center, points positioned on the vascular three-dimensional model in the spherical neighborhood are traversed, the point farthest from the first central line influence area is taken as a second tumor top, a plurality of tumor tops are repeatedly determined until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, the currently obtained tumor top position is the final tumor top, a tumor neck plane and a tumor cavity model are determined on the vascular three-dimensional model according to the final tumor top, and calculation of the morphological parameters of the aneurysm is carried out according to the tumor cavity model and the tumor neck plane, so that the morphological parameters of the target aneurysm are obtained. By adopting the method, accurate morphological parameters of the aneurysm can be quickly and automatically obtained.
Drawings
FIG. 1 is a flow chart of an automatic acquisition method for morphology parameters of a wide-necked aneurysm in one embodiment;
FIG. 2 is a schematic diagram of determining a second tumor tip according to a first tumor tip in one embodiment, wherein FIG. (a) is a schematic diagram of determining a first tumor tip, a first centerline impact region, and a second tumor tip and a second centerline impact region according to the first tumor tip, FIG. 2 (b) and FIG. 2 (c) are first vector magnitude functions, second vector magnitude functions, FIG. 2 (d) and FIG. 2 (e) obtained for the first tumor tip and the second tumor tip, respectively, and a first gradient distribution and a second gradient distribution are obtained for the first tumor tip and the second tumor tip, respectively;
FIG. 3 is a schematic diagram of a first control point and a second control point acquisition in one embodiment;
FIG. 4 is a schematic illustration of the effect of dividing the neck of an aneurysm in one embodiment;
FIG. 5 is a block diagram of an apparatus for automatically obtaining morphological parameters of a wide-neck aneurysm in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
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.
Aiming at the problems that in the prior art, the morphological parameters of the wide-necked aneurysm are mainly based on manual measurement of two-dimensional images, errors often exist in measurement results, and the measurement results are different when different people perform measurement, so that the manual measurement means have low accuracy and low repeatability, as shown in fig. 1, the automatic acquisition method for the morphological parameters of the wide-necked aneurysm is provided, and comprises the following steps:
step S100, acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
step S110, generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top within the range of the aneurysm top on the blood vessel three-dimensional model;
step S120, determining a corresponding first central line influence area on the central line of the blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a sphere center, traversing points positioned on a three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
step S130, determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
step S140, determining a first control point and a second control point of a target aneurysm cavity on a blood vessel three-dimensional model according to the final aneurysm top and a blood vessel central line;
step S150, determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
step S160, calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
In this embodiment, an aneurysm model is first constructed based on a blood vessel image related to a wide-necked aneurysm, a tumor neck plane and a tumor cavity model are automatically divided based on the model, and finally morphological parameters of the aneurysm are automatically obtained by using an existing algorithm according to the obtained tumor neck plane and tumor cavity model. The method further improves the degree of automation of obtaining the morphological parameters of the aneurysm by realizing the automatic obtaining of the tumor neck plane, improves the accuracy and the efficiency of parameter obtaining, and ensures the repeatability of the morphological evaluation of the aneurysm.
In step S100, a vessel image associated with the target aneurysm is acquired as a three-dimensional image sequence including, but not limited to, DSA (digital subtraction angiography), CTA (CT angiography), and MRA (magnetic resonance angiography). When a three-dimensional model (blood vessel model) of the blood vessel is constructed according to the blood vessel image, a threshold method, a level set method or an artificial intelligence technology segmentation model (such as 3D UNet) can be adopted to segment the three-dimensional image sequence, and then a cube algorithm is adopted to reconstruct the surface of the blood vessel in a memory manner, so that the three-dimensional model of the blood vessel is obtained. Wherein the vessel model includes a portion of the target aneurysm.
In this embodiment, the target aneurysm is a wide-necked aneurysm.
In step S110, generating a vessel centerline from the vessel three-dimensional model includes: and determining a blood vessel inlet point and a blood vessel outlet point on the blood vessel three-dimensional model, and generating a blood vessel central line in the blood vessel three-dimensional model according to the blood vessel inlet point and the blood vessel outlet point.
In this embodiment, the manner of determining the inlet and outlet of the blood vessel and the manner of determining the tumor top of the three-dimensional model of the blood vessel can be manually determined on the blood vessel model, or the inlet and outlet of the three-dimensional model of the blood vessel can be automatically determined by directly adopting an algorithm.
In step S120, determining a corresponding first centerline impact region on the vessel centerline from the first tumor top comprises: the method comprises the steps of taking a point which is away from a first tumor top on a blood vessel center line as a first closest point, calculating a vector from the first closest point to the first tumor top to obtain a first tumor top vector, generating a first vector sequence which is the same as the first tumor top vector in direction and different in size on the blood vessel center line, constructing coordinate axes according to the vector size and the points on the blood vessel center line corresponding to each vector, mapping the first vector sequence onto the coordinate axes, interpolating the coordinate axes by using spline curves to obtain a first vector size function, carrying out gradient calculation on each point on the first vector size function by using a center difference format, taking absolute values of calculation results to obtain first gradient distribution, calculating an average value of the first gradient distribution, dividing the points in the first gradient distribution into large gradient points and small gradient points according to the average value, searching from the first closest points on the blood vessel center line, continuing searching until the small gradient points appear at the two sides for the first time, stopping searching until the small gradient points appear, returning the small gradient points to the large gradient points in front of the small gradient points, and determining that the gradient points are the first gradient points between two sides of the first gradient points are the first gradient points, and the first gradient points are the first gradient points, and the first gradient points are the gradient points closest to the two side points are the first gradient points, and the first gradient points are the first closest points, and the first gradient points are the first points are the first closest points are obtained.
Specifically, when a first vector sequence with the same direction and different sizes as the first tumor top vector is generated on the blood vessel central line, traversing all points on the blood vessel central line from the first nearest point along the two sides of the blood vessel central line according to a preset step length, and transmitting a straight line on each point along the direction of the first tumor top vector until the straight line intersects with the blood vessel, thereby generating the first vector sequence.
In this embodiment, the preset step size is set to 0.5mm. In the step, on the blood vessel center line, every 0.5mm point emits straight line along the direction of the first tumor top vector until the straight line intersects with the blood vessel, a vector is generated, the direction of the vector is consistent with the direction of the first tumor top vector, the vector is related to the diameter of the blood vessel cavity corresponding to the point, and the size of the generated vector is inconsistent due to the difference of the sizes of the cross sections of a section of blood vessel. The generated first vector sequence comprises a plurality of vectors with the same vector direction and different vector sizes.
And then, constructing a coordinate axis by taking the vector size of the first vector sequence as an ordinate and taking a point on a blood vessel central line corresponding to a vector in the first vector sequence as an abscissa, mapping the first vector sequence to the coordinate axis to obtain a curve, and interpolating by utilizing a spline curve to obtain a first vector size function.
Further, for each point on the first vector magnitude function, calculating a gradient by using a central difference format, and taking an absolute value to obtain a first gradient distribution. Calculating the average value of gradient distribution, and recording the points with gradient absolute values 1.2 times larger than the average value as large gradient points and the rest points as small gradient points.
Further, a large gradient point is found in both directions along the centerline starting from the first closest point. And starting the searching at the point where the large gradient occurs for the first time, continuing searching until the point where the small gradient stops and retreats to the point where the large gradient occurs before the small gradient, wherein the point where the large gradient is the end point of the first central line influence region, and the part between the two end points of the central line of the blood vessel is the first central line influence region.
After the first central line affected area is obtained, determining the next tumor vertex according to the affected area, in step S130, using the first tumor vertex as a sphere center, constructing a spherical neighborhood with a radius R, in this embodiment r=1 mm, traversing the points located on the surface of the blood vessel model in the field, and searching the points farthest from the first central line affected area, and marking the points as second tumor vertices.
Next, the closest point to the second tumor tip is found on the centerline, noted as the second closest point. A second centerline impact region is then obtained in the same manner. In this way, iterative calculation is performed, and then a third tumor top and a fourth tumor top … … are obtained until the distance between the current tumor top and the previous tumor top is smaller than 0.1mm, and the iteration is stopped, and the currently obtained tumor top is marked as the final tumor top.
In this embodiment, since a wide carotid aneurysm is targeted, the control point is determined by finding the centerline impact region end point. Because the control point can be found by simply connecting the point on the central line with the top of the aneurysm for the narrow-necked aneurysm and finding the point where the line is tangent to the surface of the aneurysm, the method cannot be well applied to wide-necked aneurysms because the method is applied to wide-necked aneurysms and cannot find the point where the line is tangent to the surface of the aneurysm.
In step S120 and step S130, the tumor vertex position is continuously determined by the above method, and finally, the accurate tumor vertex position can be determined on the three-dimensional blood vessel model, so as to perform padding for the subsequent accurate calculation.
As shown in fig. 2, a schematic diagram of determining a first tumor top, a first central line influence area, and then determining a second tumor top and a second central line influence area according to the first tumor top is given, as shown in fig. 2 (a), fig. 2 (b) and fig. 2 (c) are a first vector size function, a second vector size function, fig. 2 (d) and fig. 2 (e) obtained by respectively corresponding to the first tumor top and the second tumor top, and a first gradient distribution and a second gradient distribution are obtained by respectively corresponding to the first tumor top and the second tumor top.
Next, in step S140, a first control point and a second control point of the target aneurysm cavity are determined on the three-dimensional model of the blood vessel according to the final tumor top and the blood vessel centerline, as shown in fig. 3, including: and taking the point closest to the final tumor top on the blood vessel central line as the final closest point, determining a corresponding final central line influence area on the blood vessel central line according to the final closest point, and respectively transmitting straight lines along the direction of the final tumor top vector at two ends of the final central line influence area until the two straight lines intersect with the blood vessel, wherein the two intersection points are a first control point and a second control point respectively. In practice, the first control point and the second control point may be understood as the bifurcation of the normal vessel portion with the aneurysm portion in the three-dimensional model of the vessel.
In step S150, determining a tumor neck plane on the three-dimensional model of the blood vessel from the final tumor top, the first control point, and the second control point comprises: according to the final tumor top, a first control point and a second control point, a first plane is established, a second plane perpendicular to the first plane is established according to the first control point and the second control point, the second plane is rotated clockwise and anticlockwise for a plurality of times according to a preset interval angle by taking a connecting line of the first control point and a control key of the second control point as a rotating shaft, a candidate plane set is generated, the area surrounded by the intersecting line of each plane in the candidate plane set and the three-dimensional model of the blood vessel is calculated, and the plane corresponding to the minimum area is selected as a tumor neck plane.
In this embodiment, the interval angle may be preset to 2 °. And 10 candidate planes are included in the candidate plane set.
Cutting the three-dimensional model of the blood vessel by using the tumor neck plane, extracting the tumor cavity model as shown in figure 4,
in step S150, finally, using the tumor neck plane and the tumor cavity model, the aneurysm morphology parameters are calculated, including: aneurysm inflow angle, aneurysm inclination angle, vessel angle, aneurysm maximum height, aneurysm middle diameter, aneurysm neck diameter, parent artery diameter, aneurysm vertical height, aneurysm surface area, aneurysm volume, size ratio, aspect ratio, patent-neg ratio, ellipse index, aspheric index, aneurysm morphology irregularity index, etc.
In the method for automatically obtaining the morphological parameters of the wide-necked aneurysm, the calculation graphics algorithm is utilized to automatically divide the tumor neck plane, so that the repeatability of the morphological parameter calculation is improved. Meanwhile, the learning threshold and the workload of the morphological evaluation of the aneurysm are reduced. By adopting the method, the obtained aneurysm morphological parameters are more accurate, so that the subsequent judgment result is more reliable, and the risk of aneurysm rupture and the risk of excessive intervention are reduced to a certain extent.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in 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 do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or sub-steps of other steps.
In one embodiment, as shown in fig. 5, there is provided an apparatus for automatically deriving morphological parameters for a wide-necked aneurysm, comprising: a blood vessel three-dimensional model construction module 200, a first tumor top determination module 210, a second tumor top determination module 220, a final tumor top determination module 230, a control point determination module 240, a tumor cavity module obtaining module 250, and a morphological parameter obtaining module 260, wherein:
the blood vessel three-dimensional model construction module 200 is used for acquiring a blood vessel image related to the target aneurysm and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
a first tumor top determination module 210, configured to generate a blood vessel centerline according to the blood vessel three-dimensional model, and determine a first tumor top within a range of an aneurysm top on the blood vessel three-dimensional model;
a second tumor top determining module 220, configured to determine a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, construct a spherical neighborhood with the first tumor top as a center of sphere, traverse points located on the three-dimensional model of the blood vessel in the spherical neighborhood, and use a point farthest from the first central line influence area as a second tumor top;
a final tumor top determining module 230, configured to determine a corresponding second central line influence area on a central line of the blood vessel according to the second tumor top, and continuously determine a next tumor top position until a distance between a currently obtained tumor top position and a previously obtained tumor top position is less than a preset value, where the currently obtained tumor top position is a final tumor top;
a control point determining module 240, configured to determine a first control point and a second control point of the target aneurysm cavity on the three-dimensional model of the blood vessel according to the final tumor top and the blood vessel centerline;
the tumor cavity module obtaining module 250 is configured to determine a tumor neck plane on the three-dimensional model of a blood vessel according to the final tumor top, the first control point and the second control point, and cut the three-dimensional model of the blood vessel by using the tumor neck plane, and extract a communication domain where the final tumor top is located as a tumor cavity model;
the morphological parameter obtaining module 260 is configured to calculate the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane, so as to obtain the morphological parameters of the target aneurysm.
For specific limitations on the automatic obtaining device for morphological parameters of the wide-necked aneurysm, reference may be made to the above limitation on the automatic obtaining method for morphological parameters of the wide-necked aneurysm, and the detailed description thereof will be omitted. The above-described automatic obtaining of morphological parameters for a wide-necked aneurysm may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, a display screen, and an input device 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 and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. 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 for automatically deriving morphological parameters for a wide-necked aneurysm. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
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:
acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
determining a first control point and a second control point of the target aneurysm cavity on the blood vessel three-dimensional model according to the final tumor top and a blood vessel central line;
determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
and calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
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:
acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
determining a first control point and a second control point of the target aneurysm cavity on the blood vessel three-dimensional model according to the final tumor top and a blood vessel central line;
determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
and calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
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.
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 (9)
1. A method for automatically obtaining morphological parameters for a wide-necked aneurysm, the method comprising:
acquiring a blood vessel image related to a target aneurysm, and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
generating a blood vessel center line according to the blood vessel three-dimensional model, and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical neighborhood, and taking the point farthest from the first central line influence area as a second tumor top;
determining a corresponding second central line influence area on the central line of the blood vessel according to the second tumor top, and continuing to determine the next tumor top position until the distance between the currently obtained tumor top position and the previously obtained tumor top position is smaller than a preset value, wherein the currently obtained tumor top position is the final tumor top;
determining a first control point and a second control point of the target aneurysm cavity on the blood vessel three-dimensional model according to the final tumor top and a blood vessel central line;
determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is positioned as a tumor cavity model;
and calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
2. The method of claim 1, wherein generating a vessel centerline from the three-dimensional model of the vessel comprises:
determining a vessel entry point and a vessel exit point on the vessel three-dimensional model;
generating the vessel centerline in the vessel three-dimensional model from the vessel entry point and vessel exit point.
3. The method of claim 1, wherein determining a corresponding first centerline impact region on a vessel centerline from the first tumor apex comprises:
taking a point which is away from the first tumor top as a first closest point on the blood vessel centerline, and calculating a vector from the first closest point to the first tumor top to obtain a first tumor top vector;
generating a first vector sequence with the same direction and different sizes as the first tumor top vector on the blood vessel central line;
constructing coordinate axes according to the vector sizes and points on the vessel center line corresponding to each vector, mapping the first vector sequence onto the coordinate axes, and interpolating the coordinate axes by using a spline curve to obtain a first vector size function;
performing gradient calculation on each point on the first vector magnitude function by using a central difference format, and obtaining a first gradient distribution after taking an absolute value of a calculation result;
calculating an average value of the first gradient distribution, and dividing points in the first gradient distribution into large gradient points and small gradient points according to the average value;
searching from the first nearest point to two sides on the blood vessel central line, continuing searching until a small gradient appears after the first large gradient point appears on the two sides, stopping searching, and returning to the large gradient point in front of the small gradient point, wherein the large gradient point obtained at the moment is used as an endpoint;
the portion of the vessel centerline between the endpoints defined on either side of the first closest point is the first centerline impact region.
4. The method of claim 3, wherein generating a first vector sequence on the vessel centerline in the same direction and different size from the first tumor apex vector comprises:
traversing all points on the blood vessel center line from the first closest point along the two sides of the blood vessel center line according to a preset step length, and transmitting a straight line at each point along the direction of a first tumor top vector until the straight line intersects with the blood vessel, thereby generating a first vector sequence.
5. The method for automatically obtaining morphological parameters according to claim 3, wherein the constructing coordinate axes according to the vector sizes and the points on the vessel center line corresponding to each vector respectively comprises:
taking the vector size of the first vector sequence as an ordinate;
and taking the point on the blood vessel central line corresponding to the vector in the first vector sequence as an abscissa.
6. The method of claim 1, wherein determining the first control point and the second control point of the target aneurysm cavity on the three-dimensional model of the blood vessel based on the final tumor tip and the blood vessel centerline comprises:
taking the point closest to the final tumor top on the blood vessel centerline as the final closest point;
determining a corresponding final centerline impact region on a vessel centerline according to the final closest point;
and respectively transmitting straight lines along the direction of the final tumor top vector at two ends of the final central line influence area until the two straight lines intersect with the blood vessel, wherein the two intersection points are the first control point and the second control point respectively.
7. The method of claim 3, wherein determining a tumor neck plane on the three-dimensional model of the blood vessel based on the final tumor tip, the first control point, and the second control point comprises:
establishing a first plane according to the final tumor top, the first control point and the second control point;
establishing a second plane perpendicular to the first plane according to the first control point and the second control point;
the first control point and the second control point are connected to form a first plane, and the first plane and the second plane are respectively rotated clockwise and anticlockwise for a plurality of times according to a preset interval angle to generate a candidate plane set;
and calculating the area surrounded by the intersection line of each plane in the candidate plane set and the three-dimensional vascular model, and selecting the plane corresponding to the minimum area as the tumor neck plane.
8. An apparatus for automatically deriving morphological parameters for a wide-necked aneurysm, the apparatus comprising:
the blood vessel three-dimensional model construction module is used for acquiring a blood vessel image related to the target aneurysm and constructing a corresponding blood vessel three-dimensional model according to the blood vessel image;
the first tumor top determining module is used for generating a blood vessel center line according to the blood vessel three-dimensional model and determining a first tumor top in the range of the aneurysm top on the blood vessel three-dimensional model;
the second tumor top determining module is used for determining a corresponding first central line influence area on a central line of a blood vessel according to the first tumor top, constructing a spherical neighborhood by taking the first tumor top as a spherical center, traversing points positioned on the three-dimensional model of the blood vessel in the spherical domain, and taking the point farthest from the first central line influence area as a second tumor top;
a final tumor top determining module, configured to determine a corresponding second central line influence area on a central line of the blood vessel according to the second tumor top, and continuously determine a next tumor top position until a distance between a currently obtained tumor top position and a previously obtained tumor top position is smaller than a preset value, where the currently obtained tumor top position is the final tumor top;
the control point determining module is used for determining a first control point and a second control point of the target aneurysm cavity on the three-dimensional model of the blood vessel according to the final tumor top and the blood vessel center line;
the tumor cavity module obtaining module is used for determining a tumor neck plane on the three-dimensional model of the blood vessel according to the final tumor top, the first control point and the second control point, cutting the three-dimensional model of the blood vessel by utilizing the tumor neck plane, and extracting a communication domain where the final tumor top is located as a tumor cavity model;
and the morphological parameter obtaining module is used for calculating the morphological parameters of the aneurysm according to the tumor cavity model and the tumor neck plane so as to obtain the morphological parameters of the target aneurysm.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
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