A novel framework for groupwise registration of fMRI images based on common functional networks

Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Accurate registration plays a critical role in group-wise functional Magnetic Resonance Imaging (fMRI) image analysis, as spatial correspondence among different brain images is a prerequisite for inferring meaningful patterns. However, the problem is challenging and remains open, and more effort should be made to advance the state-of-the-art image registration methods for fMRI images. Inspired by the observation that common functional networks can be reconstructed from fMRI image across individuals, we propose a novel computational framework for simultaneous groupwise fMRI image registration by utilizing those common functional networks as references for spatial alignments. In this framework, firstly, individualized functional networks in each subject are inferred using Independent Component Analysis (ICA); secondly, congealing groupwise registration that takes entropy of stacked independent components (ICs) from all the subjects as objective function is applied to register individual functional maps for maximal matching. The proposed framework is evaluated by and applied to an Alzheimer's Disease (AD) fMRI dataset and shows reasonably good results.

源语言英语
主期刊名2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
出版商IEEE Computer Society
485-489
页数5
ISBN(电子版)9781509011711
DOI
出版状态已出版 - 15 6月 2017
已对外发布
活动14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, 澳大利亚
期限: 18 4月 201721 4月 2017

出版系列

姓名Proceedings - International Symposium on Biomedical Imaging
ISSN(印刷版)1945-7928
ISSN(电子版)1945-8452

会议

会议14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
国家/地区澳大利亚
Melbourne
时期18/04/1721/04/17

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