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A Segmentation Method of CT Image of Left Atrial Appendage

A CT image and image technology, which is applied in the field of medical image processing, can solve the problems that the left atrial appendage CT image boundary cannot be obtained directly and the effect is not good.

Inactive Publication Date: 2020-11-03
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

CT images of the left atrial appendage have the following characteristics: there is no border between the left atrial appendage and the left atrium, and the parenchyma of the left atrial appendage has no texture features. Therefore, the border of the CT image of the left atrial appendage cannot be directly obtained, and the traditional image segmentation algorithm is not effective.

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  • A Segmentation Method of CT Image of Left Atrial Appendage
  • A Segmentation Method of CT Image of Left Atrial Appendage
  • A Segmentation Method of CT Image of Left Atrial Appendage

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Embodiment Construction

[0082] The following describes the present invention in further detail with reference to the accompanying drawings and embodiments. The embodiments follow figure 1 The flow chart shown is explained in detail.

[0083] The present invention includes the following steps:

[0084] 1) Input the left atrial appendage CT sequence image A;

[0085] 2) Perform noise reduction processing on the sequence image A in step 1) to obtain the sequence image B;

[0086] 3) Select a single CT image B in the sequence image B in step 2) i , The remaining sequence images are marked as B’;

[0087] 4) According to the image B obtained in step 3) i Position feature information of the middle left atrial appendage, manually select two feature points, construct the missing boundary information of the left atrial appendage, and obtain image C;

[0088] 5) Use the region growing algorithm on the image C obtained in step 4) to obtain the image L i ;

[0089] 6) Take the image L obtained in step 5) i For the initial ...

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Abstract

The invention discloses a left-atrial-appendage CT image segmentation method, and relates to medical image processing. Firstly, left-atrial-appendage CT images are denoised, prior knowledge is utilized to construct missing boundary information of a left atrial appendage, and a region growing algorithm is used to obtain a single initial segmentation image to use the same as a single Atlas label graph; then information relationships of the single label graph and an adjacent left-atrial-appendage CT sequence are utilized for improved Atlas segmentation to obtain an initial segmentation sequence;contour information in the initial segmentation sequence is used as initial contours of a level set algorithm, and approximate Euclidean distance information of left-atrial-appendage CT sequence graphs is obtained to be used as feature input; and finally, a precise segmentation result sequence is obtained through a fast level set algorithm to achieve the purpose of left-atrial-appendage CT image segmentation.

Description

Technical field [0001] The invention relates to medical image processing, in particular to a left atrial appendage CT image segmentation method. Background technique [0002] The left atrial appendage is a component of the left atrium of the human body, and its function is to assist in pumping blood. The multi-branched structure of the left atrial appendage itself easily hinders the return of blood. When the left atrial appendage cannot be contracted properly, it will increase atrial pressure and cause atrial fibrillation. The structure of the left atrial appendage has an important impact on cardiovascular and cerebrovascular diseases. When performing a closure operation on the left atrial appendage, how to choose a suitable closure device for the shape of the left atrial appendage is the basis for a successful operation. Therefore, the left atrial appendage CT image segmentation is one of the foundations of left atrial appendage image analysis and processing, and it has importa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/187
CPCG06T7/0012G06T7/11G06T7/136G06T7/187G06T2207/10081G06T2207/20156G06T2207/30048
Inventor 黄晓阳张耀丹苏茂龙
Owner XIAMEN UNIV
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