Xue Shi, L. Tang, Xiaoping Yang, Shaoxiang Zhang, Chunming Li
{"title":"A Fast Convexity Preserving Level Set Method for Segmentation of Cardiac Left Ventricle","authors":"Xue Shi, L. Tang, Xiaoping Yang, Shaoxiang Zhang, Chunming Li","doi":"10.1145/3285996.3286007","DOIUrl":null,"url":null,"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.","PeriodicalId":287756,"journal":{"name":"International Symposium on Image Computing and Digital Medicine","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Image Computing and Digital Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3285996.3286007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
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.