CN113450322B - Method and device for judging provenance abnormality of coronary artery - Google Patents
Method and device for judging provenance abnormality of coronary artery Download PDFInfo
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Abstract
The embodiment of the disclosure provides a method and a device for judging origin abnormality of coronary arteries, wherein the method comprises the following steps: detecting a coronary angiography image, and acquiring artery position information in the coronary angiography image, wherein the artery position information at least comprises position information of an aorta and a central line of the coronary artery, the position information of the aorta is used for limiting an area of the aorta in the coronary angiography image, and the central line is a curve representing a topological structure of the coronary artery; determining key points in the coronary angiography image based on the arterial location information; and determining the origin abnormality of the coronary artery based on the position relation between the artery position information and the key points. The method can automatically determine the provenance abnormal condition of the coronary artery, has quick calculation time and clear and convenient judgment, and is used for assisting a doctor in diagnosing the coronary artery.
Description
Technical Field
The disclosure relates to the technical field of medical image processing, in particular to a method and a device for judging origin abnormality of coronary arteries.
Background
The coronary artery is an artery supplying blood to the heart, and is divided into a left coronary artery and a right coronary artery, the trunk of the artery runs on the surface of the heart, and the artery is not a blood vessel, but a plurality of branches are gradually separated like the trunk of the artery, so that the whole heart is wrapped. The anatomical abnormality of the coronary artery may be that the number, origin, travel, termination, structure, etc. of the coronary arteries are inconsistent with the normal anatomy, i.e. the coronary artery is considered abnormal. Among them, coronary artery origin abnormalities can be classified into coronary artery origin in pulmonary artery, coronary artery origin in aorta, sinus ostia origin abnormalities, and multi-sinus origin.
In recent years, due to the widespread use of noninvasive coronary examination means, it has become convenient and easy to examine coronary abnormalities. The identification of heart structures such as coronary arteries, aortic sinuses and the like can be carried out by means of CT (Computed Tomography, electronic computer tomography) equipment or MRI (Magnetic Resonance Imaging ) equipment and the like, and the two heart structures are presented to a doctor in a 3D mode, the doctor judges images by combining own experience, the mode requires the doctor to spend extra effort for judging, and the problem that the judgment is inaccurate due to insufficient experience of young doctors is solved.
Disclosure of Invention
In view of this, embodiments of the present disclosure provide a method and apparatus for determining origin abnormality of at least one coronary artery.
In a first aspect, there is provided a method of determining abnormality of origin of a coronary artery, the method comprising:
Detecting a coronary angiography image, and acquiring artery position information in the coronary angiography image, wherein the artery position information at least comprises position information of an aorta and a central line of the coronary artery, the position information of the aorta is used for limiting an area of the aorta in the coronary angiography image, and the central line is a curve representing a topological structure of the coronary artery;
determining key points in the coronary angiography image based on the arterial location information;
and determining the origin abnormality of the coronary artery based on the position relation between the artery position information and the key points.
In a second aspect, there is provided an origin abnormality determination apparatus for coronary arteries, the apparatus comprising:
The detection module is used for detecting the coronary angiography image, and acquiring artery position information in the coronary angiography image, wherein the artery position information at least comprises position information of an aorta and a central line of the coronary artery, the position information of the aorta is used for limiting an area of the aorta in the coronary angiography image, and the central line is a curve representing a topological structure of the coronary artery;
A keypoint determination module for determining a keypoint in the coronary angiography image based on the arterial location information;
and the judging module is used for determining the origin abnormality of the coronary artery based on the position relation between the artery position information and the key points.
In a third aspect, an electronic device is provided, the device comprising a memory for storing computer instructions executable on the processor for implementing the method of determining origin abnormality of a coronary artery according to any embodiment of the disclosure when the computer instructions are executed.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which when executed by a processor, implements the method for determining origin abnormality of a coronary artery according to any embodiment of the present disclosure.
According to the method for judging the provenance abnormality of the coronary artery, provided by the technical scheme of the embodiment of the disclosure, the provenance abnormality of the coronary artery can be automatically determined according to the position relationship between the arterial position information and the key points by detecting the obtained arterial position information such as the position information of the aorta on the coronary angiography image and the central line of the coronary artery and determining the key points according to the arterial position information, the calculation time is quick, the judgment is clear and convenient, and the diagnosis of the coronary artery by a doctor can be assisted.
Drawings
In order to more clearly illustrate the technical solutions of one or more embodiments of the present disclosure or related technologies, the following description will briefly describe the drawings that are required to be used in the embodiments or related technology descriptions, and it is apparent that the drawings in the following description are only some embodiments described in one or more embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to those of ordinary skill in the art.
FIG. 1 is a flow chart of a method of determining provenance abnormality of a coronary artery shown in an embodiment of the disclosure;
FIG. 1A is an image of a certain cross-slice in a coronary angiography image, shown in an embodiment of the present disclosure;
FIG. 1B is a schematic illustration of arterial location information in a coronary angiographic image, shown in an embodiment of the disclosure;
FIG. 1C is a schematic illustration of the ascending aorta and pulmonary artery in a coronary angiography image, shown in an embodiment of the disclosure;
FIG. 1D is a schematic representation of three-dimensional coronary artery segmentation shown in an embodiment of the present disclosure;
FIG. 1E illustrates a schematic view of an aortic sinus in a coronary angiographic image according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of an origin abnormality determination apparatus of a coronary artery shown in an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the disclosure.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present specification. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present description as detailed in the accompanying claims.
The terminology used in the description presented herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the description. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information, without departing from the scope of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" depending on the context.
Coronary artery origin abnormalities can be classified into coronary artery origin from pulmonary artery, coronary artery origin from aorta, sinus ostia origin abnormalities, and multi-sinus origin. Among them, sinus origin abnormalities can be further classified into LCX (Left circumflex branch, left circumflex) abnormalities originating in the right aortic sinus, LCA (Left coronary artery, left coronary) abnormalities originating in the right aortic sinus and RCA (Right coronary artery, right coronary) abnormalities originating in the left aortic sinus.
Coronary artery origin is one of the serious congenital coronary artery abnormalities, and it is relatively common that LCA abnormality originates in pulmonary artery, RCA abnormality originates in pulmonary artery, LAD (Left anterior descending DESCENDING ARTERY) or LCX abnormality originates in pulmonary artery, and coronary artery abnormality originates in right pulmonary artery very rarely.
Coronary artery origin refers to the location of any of the vessels of the aortic RCA, LCA or LCX origin in the aorta outside the aortic sinus, including the superior ostium, the inferior ostium, and the origin in the aortic sinus connection. Of these, the most common is the high-order opening. The high level coronary ostium means that the ostium of the left and right coronary arteries is significantly higher than the aortic sinus by 1.0cm.
Sinus ostial abnormalities are mainly characterized by LCA or other branch opening in the right sinus of the aorta and RCA opening in the left sinus of the aorta. LCX originates from the right aortic sinus and is a relatively common abnormality of origin.
Multislot origin refers to RCA and conical branch originating from right aortic sinus simultaneously, or LCX and LAD originating from left aortic sinus simultaneously.
Therefore, the embodiment of the present disclosure provides at least one method for judging the origin abnormality of the coronary artery, so as to comprehensively, accurately and rapidly judge the origin of the coronary artery, assist a doctor in diagnosing the coronary artery, and assist the doctor in completing a coronary artery CT blood vessel imaging diagnosis report.
As shown in fig. 1, fig. 1 is a flowchart illustrating a method of determining origin abnormality of a coronary artery, which may be performed by any computing-capable device, such as a terminal device or a server or other processing device, according to an embodiment of the present disclosure, including the steps of:
In step 102, a coronary angiography image is detected, and arterial location information in the coronary angiography image is acquired.
In this embodiment, the coronary angiography image may be a three-dimensional CT cardiac angiography image of the subject. Before cardiac CT is performed on a subject, a contrast medium may be injected into the subject, and a scan device may be used to scan the chest or the whole body of the subject, thereby obtaining a coronary angiography image of the chest of the subject, and cardiac structures such as coronary arteries, aorta, pulmonary artery, atrium, and ventricle of the subject may be displayed in the coronary angiography image. An image of a certain cross-section in a coronary angiography image is shown in fig. 1A.
The artery position information at least comprises the position information of the aorta and the central line of the coronary artery, and can also comprise the position information of the aortic sinus, the position information of the pulmonary artery and the like. The location information of the aorta is used to define a region of the aorta in the coronary angiography image, and may be coordinate location information. The centerline is a curve characterizing the topology of the coronary artery. The centerline is consistent with the spatial connectivity of the coronary arteries. Specifically, the center line may be a curve along any part of the coronary artery, for example, a curve along the center of the coronary artery, or a curve along the outer wall of the coronary artery.
The present embodiment is not limited to the detection method of the coronary angiography image, and may be detected by a neural network method, for example, or may be detected by other methods.
As shown in a schematic diagram of artery position information in a coronary angiography image shown in fig. 1B, fig. 1B shows a position of the determined artery position information on a transverse image shown in fig. 1A, where a region shown by a reference symbol L is a left sinus, a region shown by a reference symbol R is a right sinus, a region shown by a reference symbol a is an ascending aorta, a region shown by a reference symbol B is a pulmonary artery, and a bar-shaped region in a frame is a coronary artery.
In step 104, key points in the coronary angiographic image are determined based on the arterial location information.
The key points in the coronary angiography image may be the starting points of the coronary arteries, or points on the centerline. For example, the point where the central line is connected with the root of the aorta can be determined as the starting point of the coronary artery according to the position information of the central line and the aorta; for example, each point on the centerline may be directly determined as a keypoint based on the centerline.
In this embodiment, when the center line includes the left center line of the left coronary artery and the right center line of the right coronary artery, based on the position information of the center line and the aorta, the point where the left center line is connected with the root of the aorta is determined to be the left start point of the left coronary artery, and the point where the right center line is connected with the root of the aorta is determined to be the right start point of the right coronary artery.
The key points can also be determined by one skilled in the art on his own as required.
In step 106, an origin anomaly of the coronary artery is determined based on the positional relationship of the arterial location information and the keypoints.
According to the position relation between different arterial position information and different key points, the provenance abnormality of different coronary arteries can be determined. The following examples are given for judging the provenance abnormality of four coronary arteries, and in actual implementation, the following examples may be performed sequentially, or one or more examples may be selected as needed by a person skilled in the art, and the present embodiment is not limited to the specific order of execution.
In example one, based on the positional relationship of the arterial location information and the keypoints, it may be determined whether the provenance abnormality of the coronary artery is of multi-sinus origin. Wherein the key points in the coronary angiography image comprise points on the central line and starting points of the coronary arteries, and the method comprises the following steps:
And determining a connected domain based on the position information of the aorta and the position relation of each point on the central line, wherein the connected domain is a connected domain formed by points on the central line which are intersected with the region of the aorta.
In a specific implementation, a point in the area of the aorta among points on the central line is considered as a point on the central line intersecting with the area of the aorta, and a connected domain formed by the points is determined as a connected domain; the point where the neighborhood of the midpoint of each point on the central line intersects the region of the aorta may be regarded as a point on the central line intersecting the region of the aorta, and the connected domain formed by these points may be defined as the connected domain. The neighborhood range of the present embodiment may be four neighborhood, eight neighborhood, twenty-six neighborhood, or the like.
In response to the number of connected domains being greater than a preset threshold, an origin anomaly of the coronary artery is determined, and the origin anomaly type is a multi-sinus origin.
Preferably, the preset threshold is 2. If the number of connected domains is greater than a preset threshold, it is indicated that more than a normal number of coronary vessel branches originate in the aortic sinus, an origin abnormality of the coronary arteries of the subject is determined, and the origin abnormality type is a multi-sinus origin.
Or determining that the number of origin of the coronary arteries is normal in response to the number of connected domains being equal to a preset threshold and the connected domains including the starting points of the coronary arteries.
If the number of connected domains is equal to the preset threshold, and the starting points of the coronary arteries are in the connected domains, the number of the origin of the coronary arteries is normal, and of course, the occurrence of abnormal origin of other coronary arteries except for the origin of multiple sinuses is possible. Wherein the starting points of the coronary arteries include a left starting point of the left coronary artery and a right starting point of the right coronary artery.
The example can automatically judge the connection condition of the coronary artery and the aorta, so as to accurately and efficiently determine whether the origin abnormality of the coronary artery is of multi-sinus origin.
In example two, based on the positional relationship of the arterial location information and the keypoints, it may be determined whether the origin abnormality of the coronary artery is that the coronary artery originated from the aorta. The key points in the coronary angiography image comprise starting points of the coronary arteries, the arterial position information further comprises position information of aortic sinuses, and the position information of the aortic sinuses is used for limiting regions of the aortic sinuses in the coronary angiography image and comprises the following steps:
An origin anomaly of the coronary artery is determined in response to a starting point of the coronary artery in a sinus removed region of the aorta, and the origin anomaly type is that the coronary artery originated from the aorta.
The sinus-removed region of the aorta is an aortic region that does not contain the aortic sinus. The aorta Dou Baohan Zuo Dou, right sinus, and posterior sinus, which mainly includes the ascending aorta, aortic arch, thoracic aorta, and abdominal aorta, may also be specifically the sinus region of the ascending aorta in this example.
The starting points of the coronary artery include a left starting point of the left coronary artery and a right starting point of the right coronary artery, and if either one or both of the starting points is in the sinus region of the aorta, or if the neighborhood of the left and right starting points crosses the sinus region of the aorta, it is explained that the coronary artery is connected with the sinus region of the aorta, the origin abnormality of the coronary artery of the subject is determined, and the origin abnormality type is that the coronary artery originates from the aorta.
Or in response to the starting point of the coronary artery not being in the sinus-removed region of the aorta, indicating that the coronary artery is not connected to the sinus-removed region of the aorta, determining that the coronary artery does not originate from the aorta. Of course, there may be provenance anomalies where the coronary arteries originate from other coronary arteries than the aorta.
This example can automatically determine the connection of the coronary artery to the sinus removed region of the aorta, thereby accurately and efficiently determining whether the provenance abnormality of the coronary artery is that the coronary artery originated from the aorta.
In example three, based on the positional relationship of the arterial location information and the keypoints, it may be determined whether the origin abnormality of the coronary artery is that the coronary artery originates from the pulmonary artery. The key points in the coronary angiography image comprise starting points of the coronary arteries, the arterial position information further comprises position information of pulmonary arteries, and the position information of the pulmonary arteries is used for limiting a region of the pulmonary arteries in the coronary angiography image and comprises the following steps:
in response to a starting point of the coronary artery being in a region of a pulmonary artery, an origin anomaly of the coronary artery is determined, and the origin anomaly type is that the coronary artery originated from the pulmonary artery.
In specific implementation, if there is a point in the region of the pulmonary artery in the left and right starting points or there is a neighborhood range of the left and right starting points crossing the region of the pulmonary artery, it is indicated that there is a connection condition between the coronary artery and the pulmonary artery, the origin abnormality of the coronary artery is determined, and the origin abnormality type is that the coronary artery originates from the pulmonary artery.
Or in response to the starting point of the coronary artery not being in the region of the pulmonary artery, indicating that there is no connection between the coronary artery and the pulmonary artery, determining that the coronary artery does not originate from the pulmonary artery. Of course, there may be provenance anomalies where the coronary arteries originate from other coronary arteries than the pulmonary artery.
The example can automatically judge the connection condition of the coronary artery and the pulmonary artery, so as to accurately and efficiently determine whether the provenance abnormality of the coronary artery is that the coronary artery originates from the pulmonary artery.
In example four, based on the positional relationship of the arterial positional information and the key points, it may be determined whether the origin abnormality of the coronary artery is a sinus ostia origin abnormality. The key points in the coronary angiography image comprise a left starting point of a left coronary artery and a right starting point of a right coronary artery, the arterial position information further comprises left sinus position information and right sinus position information, the left sinus position information is used for limiting a region of a left sinus in an aortic sinus in the coronary angiography image, the right sinus position information is used for limiting a region of a right sinus in the aortic sinus in the coronary angiography image, and the center lines comprise a left center line of the left coronary artery and a right center line of the right coronary artery, and the method comprises the following steps:
in response to the right starting point being in the region of the left sinus or the left starting point being in the region of the right sinus, an origin anomaly of the coronary artery is determined and the origin anomaly type is a sinus ostium origin anomaly.
In specific implementation, if the right starting point is in the region of the left sinus or the neighborhood range of the right starting point is intersected with the region of the left sinus, the right starting point is connected with the left sinus, the origin abnormality of the coronary artery is determined, the origin abnormality originates in the left sinus of the aorta, namely the origin abnormality type is sinus ostia origin abnormality.
Or if the left starting point is in the area of the right sinus or the neighborhood range of the left starting point is intersected with the area of the right sinus, the left starting point is connected with the right sinus, the origin abnormality of the coronary artery is determined, the LCA abnormality is originated from the right sinus of the aorta, namely the origin abnormality type is sinus ostia origin abnormality.
Or in response to the right starting point being in the region of the right sinus and the left starting point being in the region of the left sinus, the coronary ostia originate normally. Of course, there may be an abnormality in origin of the coronary arteries other than the abnormality in origin of the sinus ostia.
The example can automatically judge the connection condition of the left and right starting points of the coronary artery and the left and right sinuses, so as to accurately and efficiently determine whether the provenance abnormal condition of the coronary artery is sinus ostia provenance abnormal.
According to the method for judging the origin abnormality of the coronary artery, which is provided by the technical scheme of the embodiment of the disclosure, the origin abnormality of the coronary artery can be automatically determined according to the position relationship between the artery position information and the key points by detecting the obtained artery position information such as the position information of the aorta on the coronary angiography image and the central line of the coronary artery and determining the key points according to the artery position information, so that the calculation time is quick and the judgment is clear and convenient; and the origin anomaly of the four coronary arteries, namely, the origin anomaly of the coronary arteries from the pulmonary artery, the origin anomaly of the coronary arteries from the aorta and the sinus origin and the origin anomaly of the multiple sinuses, can be determined according to the requirements, has comprehensive types and can assist doctors in diagnosing the coronary arteries.
In one embodiment, the coronary angiography image may be detected through a neural network, and arterial location information in the coronary angiography image is obtained. In the above embodiments, the manner in which the different artery position information is obtained by detecting through the neural network is described below, and it should be noted that the present embodiment is not limited to the execution sequence of each example, and may be executed by any person skilled in the art by selecting any desired example or examples.
In this embodiment, for the arterial location information of different critical tissues in the heart, different neural networks may be selected for identification, and the coronary angiography image may be an image after sampling and preprocessing, so as to facilitate the neural network processing.
In an example, for the position information of the aorta, the aorta in the coronary angiography image may be identified by an aorta identification network, so as to obtain a coronary angiography image marking the position information of the aorta.
For example, the aorta recognition network is trained in advance, and the coronary angiography image is input to the aorta recognition network, so that the position information of the aorta in the coronary angiography image or the coronary angiography image marked with the position information of the aorta can be output.
In practical implementation, the position information of the aorta may also be specifically the position information of the ascending aorta in the aorta, and the identification processing may be performed on the coronary angiography image by using the ascending aorta identification network, so as to perform more accurate judgment. The ascending aorta originates from the left ventricle, is located between the pulmonary trunk and the superior vena cava, and travels as the aortic arch from the right anterior superior to the right posterior aspect of the 2 nd thoraco-costal joint, generally emanating from the left and right coronary arteries at the root of the ascending aorta. Fig. 1C shows an image of a certain transverse layer in a coronary angiography image, wherein the region indicated by a reference sign a is the ascending aorta.
In an example, for a central line of a coronary artery, a coronary artery in a coronary angiography image may be first identified through a coronary artery detection network, and coronary artery position information in the coronary angiography image may be obtained. Then, based on the coronary artery position information, a center line of the coronary artery is determined.
For example, the coronary artery detection network is trained in advance, and the coronary artery angiography image is input to the coronary artery detection network, so that the coronary artery position information in the coronary artery angiography image or the coronary artery angiography image marked with the coronary artery position information can be output. The coronary artery is an artery supplying blood to the heart, and is divided into a left coronary artery and a right coronary artery, the trunk of the artery runs on the surface of the heart, and the artery is not a blood vessel, but a plurality of branches are gradually separated like the trunk of the artery, so that the whole heart is wrapped. As shown in fig. 1D, a three-dimensional coronary artery segmentation schematic is shown, with the labels C being the left coronary artery and D being the right coronary artery.
The centerline is a curve characterizing the coronary artery topology, consistent with the spatial connectivity of the coronary arteries. Specifically, the center line may be a curve along any part of the coronary artery, for example, a curve along the center of the coronary artery, or a curve along the outer wall of the coronary artery.
In this example, the left center line of the left coronary artery and the right center line of the right coronary artery may be extracted by performing image processing on the coronary arteries in the coronary angiography image determined by the coronary artery position information. For example, the centerline of the coronary artery may be obtained by performing multiple iterations of deburring in the image through image processing algorithms such as thinning, smoothing, etc. For another example, the speed of image processing may be increased by performing image processing algorithms such as fast refinement and smoothing by a GPU (graphics processing unit, graphics processor) device.
In an example, for the position information of the aortic sinus, the identification processing may be performed on the aortic sinus in the coronary angiography image through the first aortic sinus identification network, so as to obtain a coronary angiography image marking the position information of the aortic sinus.
For example, the first aortic sinus recognition network is trained in advance, and the coronary angiography image is input into the first aortic sinus recognition network, and the position information of the aortic sinus in the coronary angiography image or the coronary angiography image marked with the position information of the aortic sinus may be output.
The aortic sinus is the lumen between the valve and the aortic wall where the opposite arterial wall of the aortic valve bulges outward. The aortic sinuses can be divided into left, right and rear sinuses. The coronary arteries are typically open to the aortic sinus. The upper boundary of the aortic sinus is arc-shaped. Typically, the left and right coronary arteries open in the left and right sinuses, respectively, with most of the opening being 1/3 of the sinuses. The position information of the aortic sinus may include position information of the left sinus, the right sinus, and may further include position information of the rear sinus. Fig. 1E is a schematic diagram of an aortic sinus in a coronary angiographic image, wherein a region indicated by a reference symbol L is a left sinus, a region indicated by a reference symbol R is a right sinus, and a region indicated by a reference symbol N is a rear sinus.
In another example, regarding the area information of the aorta, the aortic sinus in the coronary angiography image marked with the position information of the aorta may be identified by the second aortic sinus identification network, so as to obtain a coronary angiography image marked with the position information of the aortic sinus, where the position information of the aortic sinus includes the left sinus position information and the right sinus position information.
For example, the second aortic sinus recognition network may be trained in advance, and the coronary angiography image with the aortic position information marked thereon output by the above-described aortic recognition network may be input into the second aortic sinus recognition network to obtain the position information of the aortic sinus in the coronary angiography image, or the coronary angiography image with the aortic position information marked thereon may be output.
In an example, a pulmonary artery in a coronary angiography image is identified by a pulmonary artery identification network, and a coronary angiography image marking location information of the pulmonary artery is obtained.
For example, the pulmonary artery identification network is trained in advance, and the coronary artery angiography image is input to the pulmonary artery identification network, so that the position information of the pulmonary artery in the coronary artery angiography image or the coronary artery angiography image marked with the position information of the pulmonary artery can be output.
The pulmonary artery is a thick and short trunk that transports venous blood to the lungs from the right ventricular pulmonary artery cone to below the aortic arch. Fig. 1B shows an image of a certain transverse layer in a coronary angiography image, wherein the region indicated by the reference symbol B is a pulmonary artery.
In the embodiment, the coronary angiography image is detected through the neural network, and the arterial position information in the coronary angiography image is obtained, so that the information required for judging the origin abnormality of the coronary artery can be obtained efficiently and accurately; the key points are determined through the arterial position information, the origin anomaly condition of the coronary artery can be automatically determined according to the position relation between the arterial position information and the key points, the calculation time is faster, and the judgment is clear and convenient; and the origin anomaly of the four coronary arteries, namely, the origin anomaly of the coronary arteries from the pulmonary artery, the origin anomaly of the coronary arteries from the aorta and the sinus origin and the origin anomaly of the multiple sinuses, can be determined according to the requirements, has comprehensive types and can assist doctors in diagnosing the coronary arteries.
The following describes the training method of the neural network, and the present embodiment is not limited to the specific network structure of each neural network, for example, unet network structures, VNet network structures, or 3D-Unet network structures may be used.
A method of pre-training an aortic identification network:
and carrying out identification processing on the aorta in the coronary angiography sample image by utilizing an aorta identification network, and acquiring the position information of the aorta in the coronary angiography sample image. The coronary angiography sample image is a coronary angiography image with the position information of the aorta marked.
And determining the network loss according to the difference between the position information of the aorta in the acquired coronary angiography sample image and the position information of the aorta marked in the coronary angiography sample image.
And adjusting network parameters of the aortic identification network according to the network loss optimization.
Method for pre-training a coronary artery detection network:
And carrying out identification processing on the coronary arteries in the coronary angiography sample image by utilizing the coronary artery detection network, and acquiring the position information of the coronary arteries in the coronary angiography sample image. The coronary angiography sample image is a coronary angiography image with the position information of the coronary artery noted.
And determining the network loss according to the difference between the position information of the coronary artery in the acquired coronary angiography sample image and the position information of the coronary artery marked in the coronary angiography sample image.
And optimizing and adjusting network parameters of the coronary artery detection network according to the network loss.
A method of pre-training a first aortic sinus recognition network:
And carrying out identification processing on the aortic sinus in the coronary angiography sample image by using the first aortic sinus identification network, and acquiring the position information of the aortic sinus in the coronary angiography sample image. The coronary angiography sample image is a coronary angiography image marked with the position information of the aortic sinus, and the position information of the aortic sinus comprises the position information of the left sinus and the position information of the right sinus.
And determining network loss according to the difference between the position information of the aortic sinus in the acquired coronary angiography sample image and the position information of the aortic sinus marked in the coronary angiography sample image.
And adjusting network parameters of the first aortic sinus recognition network according to the network loss optimization.
A method of pre-training a second aortic sinus recognition network:
And performing identification processing on the aortic sinus in the coronary angiography sample image by using the second aortic sinus identification network, and acquiring the position information of the aortic sinus in the coronary angiography sample image. The coronary angiography sample image is a coronary angiography image marked with the position information of the aortic sinus and the aorta, and the position information of the aortic sinus comprises the position information of the left sinus and the position information of the right sinus.
And determining network loss according to the difference between the position information of the aortic sinus in the acquired coronary angiography sample image and the position information of the aortic sinus marked in the coronary angiography sample image.
And adjusting network parameters of the second aortic sinus recognition network according to the network loss optimization.
A method for pre-training a pulmonary artery identification network:
And carrying out identification processing on the pulmonary artery in the coronary angiography sample image by using a pulmonary artery identification network, and acquiring the position information of the pulmonary artery in the coronary angiography sample image. The coronary angiography sample image is a coronary angiography image with the position information of the pulmonary artery being marked.
And determining network loss according to the difference between the position information of the pulmonary artery in the obtained coronary angiography sample image and the position information of the pulmonary artery marked in the coronary angiography sample image.
And optimizing and adjusting network parameters of the pulmonary artery identification network according to the network loss.
In practical implementations, the neural network may adjust the network parameters of the neural network by back propagation when adjusting the network parameters according to network losses. Ending the network training when an end condition of the network iteration is reached, wherein the end condition may be that the iteration reaches a certain number of times or that the loss value is smaller than a certain threshold.
The calculated related information in any embodiment of the present disclosure, for example, the coronary artery, the aorta (or the ascending aorta), the pulmonary artery and the aortic sinus in the arterial position information, the central line, the starting points of the left and right coronary arteries in the key points, and the like, may be displayed and edited through UI (User Interface), and displayed through 2D, 3D images, curves, charts, and the like, wherein the points and lines may be manually edited and corrected, and curved surface expansion drawing may be performed for the coronary artery, the aorta (or the ascending aorta), the pulmonary artery and the aortic sinus, related parameters of the coronary artery, the aorta (or the ascending aorta), the pulmonary artery and the aortic sinus may be displayed, and the output result may be printed, reported, and saved.
As shown in fig. 2, fig. 2 is a block diagram of an origin anomaly determination apparatus of a coronary artery, which may be provided on any computing-capable device, such as a terminal device or a server or other processing device, according to an embodiment of the present disclosure, the apparatus comprising: the device comprises a detection module 21, a key point determination module 22 and a judgment module 23.
The detection module 21 is configured to detect a coronary angiography image, and obtain arterial location information in the coronary angiography image, where the arterial location information includes at least location information of an aorta and a central line of a coronary artery, and the location information of the aorta is used to define a region of the aorta in the coronary angiography image, and the central line is a curve that characterizes a topological structure of the coronary artery.
A keypoint determination module 22 for determining keypoints in the coronary angiographic image based on the arterial location information.
And the judging module 23 is used for determining the origin anomaly of the coronary artery based on the position relation between the artery position information and the key points.
According to the device for judging the origin abnormality of the coronary artery, which is provided by the technical scheme of the embodiment of the disclosure, the origin abnormality of the coronary artery can be automatically determined according to the position relationship between the artery position information and the key points by detecting the obtained artery position information such as the position information of the aorta on the coronary angiography image and the central line of the coronary artery and determining the key points according to the artery position information, so that the calculation time is quick and the judgment is clear and convenient.
In one example, the keypoints in the coronary angiography image include points on the centerline and a starting point of the coronary artery.
The keypoint determination module 22 is specifically configured to: and determining the point where the central line is connected with the root of the aorta as the starting point of the coronary artery based on the central line and the position information of the aorta.
The judging module 23 is specifically configured to: determining a connected domain based on the position information of the aorta and the position relation of each point on a central line, wherein the connected domain is a connected domain formed by points on the central line which are intersected with the area of the aorta; in response to the number of connected domains being greater than a preset threshold, an origin anomaly of the coronary artery is determined, and the origin anomaly type is a multi-sinus origin.
In one example, the key points in the coronary angiography image include starting points of the coronary arteries, and the arterial location information further includes location information of an aortic sinus, the location information of the aortic sinus defining a region of the aortic sinus in the coronary angiography image.
The keypoint determination module 22 is specifically configured to: and determining the point where the central line is connected with the root of the aorta as the starting point of the coronary artery based on the central line and the position information of the aorta.
The judging module 23 is specifically configured to: an origin anomaly of the coronary artery is determined in response to a starting point of the coronary artery in a sinus-removed region of the aorta, and the origin anomaly type is that the coronary artery originates in the aorta, the sinus-removed region of the aorta being an aortic region that does not contain an aortic sinus.
In one example, the key points in the coronary angiography image include starting points of the coronary arteries, and the arterial location information further includes location information of pulmonary arteries defining regions of pulmonary arteries in the coronary angiography image.
The keypoint determination module 22 is specifically configured to: and determining the point where the central line is connected with the root of the aorta as the starting point of the coronary artery based on the central line and the position information of the aorta.
The judging module 23 is specifically configured to: in response to a starting point of the coronary artery being in a region of a pulmonary artery, an origin anomaly of the coronary artery is determined, and the origin anomaly type is that the coronary artery originated from the pulmonary artery.
In one example, the keypoints in the coronary angiography image comprise a left starting point of a left coronary artery and a right starting point of a right coronary artery, the arterial location information further comprising left sinus location information for defining a region of a left sinus in an aortic sinus in the coronary angiography image and right sinus location information for defining a region of a right sinus in the aortic sinus in the coronary angiography image, the centerlines comprising a left centerline of the left coronary artery and a right centerline of the right coronary artery;
The keypoint determination module 22 is specifically configured to: based on the position information of the central line and the aorta, determining the point of the left central line connected with the root of the aorta as a left starting point of the left coronary artery, and determining the point of the right central line connected with the root of the aorta as a right starting point of the right coronary artery.
The judging module 23 is specifically configured to: in response to the right starting point being in the region of the left sinus, an origin abnormality of the coronary artery is determined, and the origin abnormality type is a sinus ostia origin abnormality.
In one example, the detection module 21 is specifically configured to: and carrying out identification processing on the aorta in the coronary angiography image through an aorta identification network to obtain a coronary angiography image marking the position information of the aorta. And carrying out identification processing on the coronary arteries in the coronary angiography image through a coronary artery detection network, and obtaining the coronary artery position information in the coronary angiography image. And determining the central line of the coronary artery based on the coronary artery position information.
In one example, the detection module 21 may also be configured to: and carrying out recognition processing on the pulmonary artery in the coronary angiography image through a pulmonary artery recognition network to obtain the coronary angiography image marking the position information of the pulmonary artery. And carrying out identification processing on the aortic sinus in the coronary angiography image through a first aortic sinus identification network to obtain the coronary angiography image marking the position information of the aortic sinus. Or the aortic sinus in the coronary angiography image marked with the position information of the aorta is identified through a second aortic sinus identification network, so that the coronary angiography image marked with the position information of the aortic sinus is obtained.
The implementation process of the functions and roles of each module in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.
The embodiment of the present disclosure further provides an electronic device, as shown in fig. 3, where the electronic device includes a memory 31 and a processor 32, where the memory 31 is configured to store computer instructions that can be executed on the processor, and the processor 32 is configured to implement the method for determining origin abnormality of a coronary artery according to any embodiment of the present disclosure when the computer instructions are executed.
The embodiments of the present disclosure also provide a computer program product comprising a computer program/instruction which, when executed by a processor, implements the method for determining origin abnormality of coronary arteries according to any of the embodiments of the present disclosure.
The embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for determining origin abnormality of a coronary artery according to any of the embodiments of the present disclosure.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present description. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Other embodiments of the present description will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This specification is intended to cover any variations, uses, or adaptations of the specification following, in general, the principles of the specification and including such departures from the present disclosure as come within known or customary practice within the art to which the specification pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the specification being indicated by the following claims.
It is to be understood that the present description is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present description is limited only by the appended claims.
The foregoing description of the preferred embodiments is provided for the purpose of illustration only, and is not intended to limit the scope of the disclosure, since any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the disclosure are intended to be included within the scope of the disclosure.
Claims (14)
1. A method for judging origin abnormality of a coronary artery, the method comprising:
Detecting a coronary angiography image, and acquiring artery position information in the coronary angiography image, wherein the artery position information at least comprises position information of an aorta and a central line of the coronary artery, the position information of the aorta is used for limiting an area of the aorta in the coronary angiography image, and the central line is a curve representing a topological structure of the coronary artery;
determining key points in the coronary angiography image based on the arterial location information;
determining an origin abnormality of the coronary artery based on the positional relationship of the arterial positional information and the keypoints, the origin abnormality comprising: coronary arteries originate in the pulmonary artery, coronary arteries originate in the aorta, sinus ostia originate abnormally, and multi-sinus originate.
2. The method of claim 1, wherein the keypoints in the coronary angiography image comprise points on the centerline;
The determining the origin anomaly condition of the coronary artery based on the position relation between the artery position information and the key point comprises the following steps:
determining a connected domain based on the position information of the aorta and the position relation of each point on a central line, wherein the connected domain is a connected domain formed by points on the central line which are intersected with the area of the aorta;
In response to the number of connected domains being greater than a preset threshold, determining that the coronary artery is abnormal in origin, and the type of abnormal in origin is the multi-sinus origin.
3. The method of claim 1, wherein the keypoints in the coronary angiography image comprise starting points of the coronary arteries, the arterial location information further comprising location information of an aortic sinus, the location information of the aortic sinus defining a region of the aortic sinus in the coronary angiography image;
the determining key points in the coronary angiography image based on the arterial location information comprises:
Determining a point at which the center line is connected with the root of the aorta as a starting point of the coronary artery based on the position information of the center line and the aorta;
The determining the origin anomaly condition of the coronary artery based on the position relation between the artery position information and the key point comprises the following steps:
An origin anomaly of the coronary artery is determined in response to a starting point of the coronary artery being in a sinus-removed region of the aorta, and the origin anomaly type is that the coronary artery originates in the aorta, the sinus-removed region of the aorta being an aortic region that does not contain an aortic sinus.
4. The method of claim 1, wherein the keypoints in the coronary angiography image comprise starting points of the coronary arteries, the arterial location information further comprising location information of pulmonary arteries defining regions of pulmonary arteries in the coronary angiography image;
the determining key points in the coronary angiography image based on the arterial location information comprises:
Determining a point at which the center line is connected with the root of the aorta as a starting point of the coronary artery based on the position information of the center line and the aorta;
The determining the origin anomaly condition of the coronary artery based on the position relation between the artery position information and the key point comprises the following steps:
in response to a starting point of the coronary artery being in a region of a pulmonary artery, an origin anomaly of the coronary artery is determined, and the origin anomaly type is that the coronary artery originated from the pulmonary artery.
5. The method of claim 1, wherein the keypoints in the coronary angiography image comprise a left starting point of a left coronary artery and a right starting point of a right coronary artery, the arterial location information further comprising left sinus location information for defining a region of a left sinus in an aortic sinus in the coronary angiography image and right sinus location information for defining a region of a right sinus in the aortic sinus in the coronary angiography image, the centerlines comprising a left centerline of the left coronary artery and a right centerline of the right coronary artery;
the determining key points in the coronary angiography image based on the arterial location information comprises:
Based on the position information of the central line and the aorta, determining a point of the left central line connected with the root of the aorta as a left starting point of the left coronary artery, and determining a point of the right central line connected with the root of the aorta as a right starting point of the right coronary artery;
The determining the origin anomaly condition of the coronary artery based on the position relation between the artery position information and the key point comprises the following steps:
In response to the right starting point being in the region of the left sinus or the left starting point being in the region of the right sinus, determining an origin abnormality of the coronary artery, and the origin abnormality type is the sinus ostium origin abnormality.
6. The method of claim 1, wherein detecting the coronary angiography image and acquiring arterial location information in the coronary angiography image comprises:
Carrying out identification processing on an aorta in the coronary angiography image through an aorta identification network to obtain a coronary angiography image marking the position information of the aorta;
carrying out identification processing on a coronary artery in a coronary angiography image through a coronary artery detection network to obtain coronary artery position information in the coronary angiography image;
and determining the central line of the coronary artery based on the coronary artery position information.
7. A device for judging abnormality of origin of a coronary artery, comprising:
The detection module is used for detecting the coronary angiography image, and acquiring artery position information in the coronary angiography image, wherein the artery position information at least comprises position information of an aorta and a central line of the coronary artery, the position information of the aorta is used for limiting an area of the aorta in the coronary angiography image, and the central line is a curve representing a topological structure of the coronary artery;
A keypoint determination module for determining a keypoint in the coronary angiography image based on the arterial location information;
The judging module is used for determining the origin abnormal condition of the coronary artery based on the position relation between the artery position information and the key points, and comprises the following steps: coronary arteries originate in the pulmonary artery, coronary arteries originate in the aorta, sinus ostia originate abnormally, and multi-sinus originate.
8. The apparatus of claim 7, wherein the keypoints in the coronary angiography image comprise points on the centerline and a starting point of the coronary artery;
the key point determining module is specifically configured to:
Determining a point at which the center line is connected with the root of the aorta as a starting point of the coronary artery based on the position information of the center line and the aorta;
the judging module is specifically configured to:
determining a connected domain based on the position information of the aorta and the position relation of each point on a central line, wherein the connected domain is a connected domain formed by points on the central line which are intersected with the area of the aorta;
In response to the number of connected domains being greater than a preset threshold, determining that the coronary artery is abnormal in origin, and the type of abnormal in origin is the multi-sinus origin.
9. The apparatus of claim 7, wherein the keypoints in the coronary angiography image comprise starting points of the coronary arteries, the arterial location information further comprising location information of an aortic sinus, the location information of the aortic sinus defining a region of the aortic sinus in the coronary angiography image;
the key point determining module is specifically configured to:
Determining a point at which the center line is connected with the root of the aorta as a starting point of the coronary artery based on the position information of the center line and the aorta;
the judging module is specifically configured to:
An origin anomaly of the coronary artery is determined in response to a starting point of the coronary artery being in a sinus-removed region of the aorta, and the origin anomaly type is that the coronary artery originates in the aorta, the sinus-removed region of the aorta being an aortic region that does not contain an aortic sinus.
10. The apparatus of claim 7, wherein the keypoints in the coronary angiography image comprise starting points of the coronary arteries, the arterial location information further comprising location information of pulmonary arteries defining regions of pulmonary arteries in the coronary angiography image;
the key point determining module is specifically configured to:
Determining a point at which the center line is connected with the root of the aorta as a starting point of the coronary artery based on the position information of the center line and the aorta;
the judging module is specifically configured to:
in response to a starting point of the coronary artery being in a region of a pulmonary artery, an origin anomaly of the coronary artery is determined, and the origin anomaly type is that the coronary artery originated from the pulmonary artery.
11. The apparatus of claim 7, wherein the keypoints in the coronary angiography image comprise a left starting point of a left coronary artery and a right starting point of a right coronary artery, the arterial location information further comprising left sinus location information for defining a region of a left sinus in an aortic sinus in the coronary angiography image and right sinus location information for defining a region of a right sinus in the aortic sinus in the coronary angiography image, the centerlines comprising a left centerline of the left coronary artery and a right centerline of the right coronary artery;
the key point determining module is specifically configured to:
Based on the position information of the central line and the aorta, determining a point of the left central line connected with the root of the aorta as a left starting point of the left coronary artery, and determining a point of the right central line connected with the root of the aorta as a right starting point of the right coronary artery;
the judging module is specifically configured to:
In response to the right starting point being in the region of the left sinus, an origin abnormality of the coronary artery is determined, and the origin abnormality type is the sinus ostium origin abnormality.
12. The apparatus of claim 7, wherein the device comprises a plurality of sensors,
The detection module is specifically configured to:
Carrying out identification processing on an aorta in the coronary angiography image through an aorta identification network to obtain a coronary angiography image marking the position information of the aorta;
carrying out identification processing on a coronary artery in a coronary angiography image through a coronary artery detection network to obtain coronary artery position information in the coronary angiography image;
and determining the central line of the coronary artery based on the coronary artery position information.
13. An electronic device comprising a memory for storing computer instructions executable on the processor for implementing the method of any one of claims 1 to 6 when the computer instructions are executed.
14. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any of claims 1 to 6.
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