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4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation

Authors
Wang, LiShi, FengLi, GangShen, Dinggang
Issue Date
2-7월-2013
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v.8, no.7
Indexed
SCIE
SCOPUS
Journal Title
PLOS ONE
Volume
8
Number
7
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/102725
DOI
10.1371/journal.pone.0064207
ISSN
1932-6203
Abstract
Segmentation of brain MR images plays an important role in longitudinal investigation of developmental, aging, disease progression changes in the cerebral cortex. However, most existing brain segmentation methods consider multiple time-point images individually and thus cannot achieve longitudinal consistency. For example, cortical thickness measured from the segmented image will contain unnecessary temporal variations, which will affect the time related change pattern and eventually reduce the statistical power of analysis. In this paper, we propose a 4D segmentation framework for the adult brain MR images with the constraint of cortical thickness variations. Specifically, we utilize local intensity information to address the intensity inhomogeneity, spatial cortical thickness constraint to maintain the cortical thickness being within a reasonable range, and temporal cortical thickness variation constraint in neighboring time-points to suppress the artificial variations. The proposed method has been tested on BLSA dataset and ADNI dataset with promising results. Both qualitative and quantitative experimental results demonstrate the advantage of the proposed method, in comparison to other state-of-the-art 4D segmentation methods.
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