@inproceedings{103d7c61f1104dabb66579bbed6e1e33,
title = "Semi-automated Image Segmentation of the Midsystolic Left Ventricular Mitral Valve Complex in Ischemic Mitral Regurgitation",
abstract = "Ischemic mitral regurgitation (IMR) is primarily a left ventricular disease in which the mitral valve is dysfunctional due to ventricular remodeling after myocardial infarction. Current automated methods have focused on analyzing the mitral valve and left ventricle independently. While these methods have allowed for valuable insights into mechanisms of IMR, they do not fully integrate pathological features of the left ventricle and mitral valve. Thus, there is an unmet need to develop an automated segmentation algorithm for the left ventricular mitral valve complex, in order to allow for a more comprehensive study of this disease. The objective of this study is to generate and evaluate segmentations of the left ventricular mitral valve complex in pre-operative 3D transesophageal echocardiography using multi-atlas label fusion. These patient-specific segmentations could enable future statistical shape analysis for clinical outcome prediction and surgical risk stratification. In this study, we demonstrate a preliminary segmentation pipeline that achieves an average Dice coefficient of 0.78 ± 0.06.",
keywords = "3D echocardiography, Ischemic mitral regurgitation, Multi-atlas label fusion",
author = "Aly, \{Ahmed H.\} and Aly, \{Abdullah H.\} and Mahmoud Elrakhawy and Kirlos Haroun and Luis Prieto-Riascos and Gorman, \{Robert C.\} and Natalie Yushkevich and Yoshiaki Saito and Gorman, \{Joseph H.\} and Yushkevich, \{Paul A.\} and Pouch, \{Alison M.\}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 ; Conference date: 16-09-2018 Through 16-09-2018",
year = "2019",
doi = "10.1007/978-3-030-12029-0\_16",
language = "English (US)",
isbn = "9783030120283",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "142--151",
editor = "Mihaela Pop and Maxime Sermesant and Jichao Zhao and Shuo Li and Kristin McLeod and Alistair Young and Kawal Rhode and Tommaso Mansi",
booktitle = "Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers",
address = "Germany",
}