A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure

Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Understanding the relationship between brain function and structure is vital important in the field of brain image analysis. It elucidates the working mechanism of the brain, which will contribute to better understand the brain and simulate the brain-like system. Extensive efforts have been made on this topic, but still far from the satisfactory. The major difficulties are at least two aspects. One is the huge individual difference among the subjects, which makes it hard to obtain stable results at groupwise level, e.g., noise signals can significantly affect the exploring process. The other one is the huge difference between functional and structural features of the brain, both in their pattern and size, which are very different. To alleviate the above problems, in this paper, we propose a two-stage multi-view low-rank sparse subspace clustering (Two-stage MLRSSC) method to jointly study the relationship between brain function and structure and identify the common regions of brain function and structure. The major innovation of proposed Two-stage MLRSSC is that comparable features of brain function and structure can be effectively extracted from low-rank sparse representation, and results are further improved the stability by two-stage strategy. Finally, groupwise-based stable functional and structural common regions are identified for better understanding the relationship. Experimental results shed new ways to explore the brain function and structure, new insights are observed and discussed.

源语言英语
主期刊名Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Proceedings
编辑Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui
出版商Springer Science and Business Media Deutschland GmbH
191-200
页数10
ISBN(印刷版)9783031210136
DOI
出版状态已出版 - 2022
活动13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with 25th International Conference on Medical Image Computing and Computer_Assisted Intervention, MICCAI 2022 - Singapore, 新加坡
期限: 18 9月 202218 9月 2022

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13583 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with 25th International Conference on Medical Image Computing and Computer_Assisted Intervention, MICCAI 2022
国家/地区新加坡
Singapore
时期18/09/2218/09/22

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