Joint analysis of fiber shape and cortical folding patterns

Xintao Hu, Lei Guo, Tuo Zhang, Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Quantitative descriptions of white matter (WM) fiber shape and cortical folding patterns are important for neuroscience research. This paper presents a novel computational method for WM fiber shape pattern analysis, that is, WM fibers are clustered into five primitive shape patterns: closed 'U', 'M', curved line, open 'U' and straight line, based on the automatic clustering of their shape features. We study the correlation between the fiber shape patterns and the folding patterns of cortical regions that the fibers connect, and find that these patterns are highly correlated. Also, we investigate the shape patterns of the WM fibers that connect different brain regions such as cortical lobes and subcortical regions, and find that the shape patterns of the fibers connecting different brain regions are quite specific. These results might provide insights into the structural and functional architecture of the human brain.

Original languageEnglish
Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2010 - Proceedings
Pages1165-1168
Number of pages4
DOIs
StatePublished - 2010
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: 14 Apr 201017 Apr 2010

Publication series

Name2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Conference

Conference7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/TerritoryNetherlands
CityRotterdam
Period14/04/1017/04/10

Keywords

  • Correlation matrix map
  • Cortical folding patterns
  • Fiber shape

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