Tractography atlas-based spatial statistics: Statistical analysis of diffusion tensor image along fiber pathways
Publication in refereed journal


引用次數
替代計量分析
.

其它資訊
摘要The quantitative analysis of diffusion tensor image (DTI) data has attracted increasing attention in recent decades for studying white matter (WM) integrity and development. Among the current DTI analysis methods, tract-based spatial statistics (TBSS), as a pioneering approach for the voxelwise analysis of DTI data, has gained a lot of popularity due to its user-friendly framework. However, in recent years, the reliability and interpretability of TBSS have been challenged by several works, and several improvements over the original TBSS pipeline have been suggested. In this paper, we propose a new DTI statistical analysis method, named tractography atlas-based spatial statistics (TABSS). It doesn't rely on the accurate alignment of fractional anisotropy (FA) images for population analysis and gets rid of the skeletonization procedures of TBSS, which have been indicated as the major sources of error. Furthermore, TABSS improves the interpretability of results by directly reporting the resulting statistics on WM tracts, waiving the need of a WM atlas in the interpretation of the results. The feasibility of TABSS was evaluated in an example study to show age-related FA alternation pattern of healthy human brain. Through this preliminary study, it is validated that TABSS can provide detailed statistical results in a comprehensive and easy-to-understand way. (C) 2015 Elsevier Inc. All rights reserved.
著者Wang DF, Luo YS, Mok VCT, Chu WCW, Shi L
期刊名稱NeuroImage
出版年份2016
月份1
日期15
卷號125
出版社ACADEMIC PRESS INC ELSEVIER SCIENCE
頁次301 - 310
國際標準期刊號1053-8119
電子國際標準期刊號1095-9572
語言英式英語
關鍵詞DTI; FA; Statistical analysis; TBSS; Tractography atlas
Web of Science 學科類別Neuroimaging; Neurosciences; Neurosciences & Neurology; Radiology, Nuclear Medicine & Medical Imaging

上次更新時間 2021-10-01 於 01:33