research-article

A Fast Convexity Preserving Level Set Method for Segmentation of Cardiac Left Ventricle

Authors:

ShaoxiangZhang,

Chunming LiAuthors Info & Claims

ISICDM 2018: Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine

Pages 51 - 54

https://doi.org/10.1145/3285996.3286007

Published: 13 October 2018 Publication History

Abstract

In this paper, anatomical characteristic of convexity of left ventricles (LV) is incorporated in the level set segmentation framework to improve the accuracy of the algorithm. In order to maintain the convexity of endocardial and epicardial contour, we use the two-layer level set model combined with periodical convexification of the level sets, which eliminates the troublesome interference caused by the papillary muscle and the trabeculae. We use the MICCAI 2009 left ventricle segmentation challenge data to test and validate our method. Qualitative experiments demonstrate the effectiveness of our algorithm.

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Cited By

Sivakumar KLavanya SHimanandini KKeerthana V(2020)A Unified Automated Segmentation Technique for the Left Ventricle Segmentation in Cardiac MRIIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/993/1/012068993(012068)Online publication date: 31-Dec-2020
https://doi.org/10.1088/1757-899X/993/1/012068

Index Terms

A Fast Convexity Preserving Level Set Method for Segmentation of Cardiac Left Ventricle
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation

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ISICDM 2018: Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine

October 2018

166 pages

ISBN:9781450365338

DOI:10.1145/3285996

Copyright © 2018 ACM.

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University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2018

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ISICDM 2018

ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018

October 13 - 14, 2018

Chengdu, China

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Cited By

Sivakumar KLavanya SHimanandini KKeerthana V(2020)A Unified Automated Segmentation Technique for the Left Ventricle Segmentation in Cardiac MRIIOP Conference Series: Materials Science and Engineering10.1088/1757-899X/993/1/012068993(012068)Online publication date: 31-Dec-2020
https://doi.org/10.1088/1757-899X/993/1/012068

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