{"title":"Left ventricle detection in echocardiography videos","authors":"Dhouha Attia, A. Benazza-Benyahia","doi":"10.1109/ATSIP.2018.8364476","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new fully automated approach of Left Ventricle (LV) segmentation in 2D echocardiography videos. The proposed segmentation method combines texture gradients in moving sequences. The novelty of our approach consists in exploiting simultaneously the intra-frame and the motion information. Experiments are carried out on apical echocardiographic sequences and indicate the benefit that can be drawn from the proposed method in terms of both accuracy and computational complexity.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATSIP.2018.8364476","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, we propose a new fully automated approach of Left Ventricle (LV) segmentation in 2D echocardiography videos. The proposed segmentation method combines texture gradients in moving sequences. The novelty of our approach consists in exploiting simultaneously the intra-frame and the motion information. Experiments are carried out on apical echocardiographic sequences and indicate the benefit that can be drawn from the proposed method in terms of both accuracy and computational complexity.