@inproceedings{e067a6fb8d9140d8850078f1a5f0b15e,
title = "Group-wise graph matching of cortical gyral hinges",
abstract = "Human brain image alignment has long been an intriguing research topic. The difficulty lies in the huge inter-individual variation. Also, it is not fully understood how structural similarity across subjects is related to functional correspondence. Recently, a gyral folding pattern, which is the conjunction of gyri from multiple directions and termed gyral hinge, was characterized. Gyral hinges have been demonstrated to have structural and functional importance and some of them were found to have cross-subject correspondences by manual labeling. However, there is no automatic method to estimate the cross-subject correspondences for whole-brain gyral hinges yet. To this end, we propose a novel group-wise graph matching framework, to which we feed structural connective matrices among gyral hinges from all subjects. The correspondence estimated by this framework is demonstrated by cross-subject consistency of both structural connective and functional profiles. Also, our results outperform the correspondences identified by pairwise graph matching and image-based registration methods.",
keywords = "Cross-subject correspondence, Gyral hinges, Structural connectivity",
author = "Tuo Zhang and Xiao Li and Lin Zhao and Ying Huang and Zhibin He and Lei Guo and Tianming Liu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 ; Conference date: 13-10-2019 Through 17-10-2019",
year = "2019",
doi = "10.1007/978-3-030-32251-9_9",
language = "英语",
isbn = "9783030322502",
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 = "75--83",
editor = "Dinggang Shen and Pew-Thian Yap and Tianming Liu and Peters, {Terry M.} and Ali Khan and Staib, {Lawrence H.} and Caroline Essert and Sean Zhou",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings",
}