O. Somphone, M. D. Craene, R. Ardon, B. Mory, P. Allain, Hang Gao, J. D’hooge, S. Marchesseau, Maxime Sermesant, H. Delingette, E. Saloux
{"title":"Fast myocardial motion and strain estimation in 3D cardiac ultrasound with Sparse Demons","authors":"O. Somphone, M. D. Craene, R. Ardon, B. Mory, P. Allain, Hang Gao, J. D’hooge, S. Marchesseau, Maxime Sermesant, H. Delingette, E. Saloux","doi":"10.1109/ISBI.2013.6556691","DOIUrl":null,"url":null,"abstract":"This article presents a new method for motion and strain estimation in 3D echocardiography, called Sparse Demons, along with quantitative and qualitative evaluations from a dataset of synthetic ultrasound sequences. Motion estimation is based on a fast demons-like algorithm focusing on myocardial tissue. Synthetic 3D ultrasound images were generated by combining a biomechanical model of the heart with a realistic ultrasound imaging model. Ischemic areas were defined in the mechanical model to investigate whether our algorithm can discriminate healthy from diseased segments.","PeriodicalId":178011,"journal":{"name":"2013 IEEE 10th International Symposium on Biomedical Imaging","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 10th International Symposium on Biomedical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2013.6556691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
This article presents a new method for motion and strain estimation in 3D echocardiography, called Sparse Demons, along with quantitative and qualitative evaluations from a dataset of synthetic ultrasound sequences. Motion estimation is based on a fast demons-like algorithm focusing on myocardial tissue. Synthetic 3D ultrasound images were generated by combining a biomechanical model of the heart with a realistic ultrasound imaging model. Ischemic areas were defined in the mechanical model to investigate whether our algorithm can discriminate healthy from diseased segments.