@inproceedings{cc14cee74f9f42c38df58fd8c1d6dc78,
title = "Optimal topological cycles and their application in cardiac trabeculae restoration",
abstract = "In cardiac image analysis, it is important yet challenging to reconstruct the trabeculae, namely, fine muscle columns whose ends are attached to the ventricular walls. To extract these fine structures, traditional image segmentation methods are insufficient. In this paper, we propose a novel method to jointly detect salient topological handles and compute the optimal representations of them. The detected handles are considered hypothetical trabeculae structures. They are further screened using a classifier and are then included in the final segmentation.We show in experiments the significance of our contribution compared with previous standard segmentation methods without topological priors, as well as with previous topological method in which non-optimal representations of topological handles are used.",
keywords = "Cardiac, Homology localization, Segmentation, Topology data analysis, Trabeculae",
author = "Pengxiang Wu and Chao Chen and Yusu Wang and Shaoting Zhang and Changhe Yuan and Zhen Qian and Dimitris Metaxas and Leon Axel",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 25th International Conference on Information Processing in Medical Imaging, IPMI 2017 ; Conference date: 25-06-2017 Through 30-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59050-9\_7",
language = "English",
isbn = "9783319590493",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "80--92",
editor = "Hongtu Zhu and Marc Niethammer and Martin Styner and Hongtu Zhu and Dinggang Shen and Pew-Thian Yap and Stephen Aylward and Ipek Oguz",
booktitle = "Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings",
}