Spherical space division-based coronary artery automatic segmentation and anatomic marking method

A coronary and spatial division technology, applied in the field of medical image processing, can solve the problems of high algorithm complexity, inaccurate branch matching of coronary distribution types, and long calculation time.

Active Publication Date: 2016-11-09
ARMY MEDICAL UNIV
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Problems solved by technology

Solve the problems of the existing automatic coronary artery segmentation and anatomical labeling methods, such as long calculation time, hi...

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  • Spherical space division-based coronary artery automatic segmentation and anatomic marking method
  • Spherical space division-based coronary artery automatic segmentation and anatomic marking method
  • Spherical space division-based coronary artery automatic segmentation and anatomic marking method

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Embodiment Construction

[0107] According to the 18-segment standard proposed in the "2014 SCCT Guidelines", the coronary arteries are anatomically named. The names of the 18 segments of the coronary arteries and their corresponding anatomical descriptions are shown in the following table:

[0108]

[0109]

[0110] Coronary artery automatic segmentation and anatomical labeling method based on spherical space division, the implementation flow chart of this method is as follows figure 1 , the specific implementation process is as follows:

[0111] Step 1. Image preprocessing: obtain coronary artery segmentation images and centerlines;

[0112] Step 2, pruning operation;

[0113] Step 3, definition of sphere center and sphere space;

[0114] Step 4, division rules of left and right coronary arteries;

[0115] Step 5, left coronary artery anatomical naming algorithm;

[0116] Step 6, right coronary artery anatomical naming algorithm.

[0117] The step 1 obtains the coronary artery segmentation...

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Abstract

The invention discloses a spherical space division-based coronary artery automatic segmentation and anatomic marking method. The method comprises the following steps of (1) performing image preprocessing: obtaining a coronary artery segmentation image and a central line; (2) performing a pruning operation; (3) defining a spherical center and a spherical space; (4) executing a division rule of left and right coronary arteries; (5) executing a left coronary artery anatomic naming algorithm; and (6) executing a right coronary artery anatomic naming algorithm. According to the method, a spherical coordinate system is established by taking a vessel divergence point as the spherical center through utilizing characteristics of a heart-shaped inverted cone, and the blood vessel is located and dissected in the spherical space according to anatomic shapes of branch segments of the coronary arteries and a geometric structure relationship among the anatomic shapes, so that the purposes of automatic segmentation and anatomic marking are achieved; the problems of relatively long calculation time, relatively high algorithm complexity and inaccurate branch matching caused by incapability of exhausting coronary artery distribution types in an existing coronary artery automatic segmentation and anatomic marking method are solved; and compared with a method for matching the extracted blood vessel with a prior model, the spherical space division-based coronary artery automatic segmentation and anatomic marking method has the advantages that the time is shortened, the marking is accurate, and more segments can be identified and marked.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to automatic segmentation and anatomical labeling of coronary arteries based on spherical space division of coronary artery images. Background technique [0002] In recent years, the morbidity and mortality of cardiovascular diseases have topped the list of diseases and are showing a younger trend. Among them, more severe coronary atherosclerosis can directly lead to myocardial infarction and heart damage. The tiny lesions on the coronary artery wall in the early stage are not easy to be found, and the rapid development of such lesions will cause serious consequences, even life-threatening. Therefore, the early diagnosis and treatment of small lesions and the progress management of each segment of the coronary artery are particularly important. As a non-invasive image acquisition method, coronary CTA is widely used in the diagnosis of coronary artery disease. Acco...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 李颖王如意张绍祥谭立文
Owner ARMY MEDICAL UNIV
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