Title :
Parcellation of human inferior parietal lobule based on diffusion MRI
Author :
Soran, B. ; Zhiyong Xie ; Tungaraza, Rosalia ; Su-In Lee ; Shapiro, Linda ; Grabowski, Thomas
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
The function of a brain region can be constrained by its anatomical connections. The Inferior Parietal Lobule (IPL) is a cortical region with marked functional heterogeneity, involved in visuospatial attention, memory, language and mathematical cognition. In this work three different variants of the normalized graph-cut clustering algorithm were applied to obtain a parcellation of the IPL of living subjects into component regions based on the estimate of anatomical connectivity obtained from diffusion tensor tractography. Results over the three different algorithms were compared and a new metric proposed to measure the quality of individual parcellations by comparing to standard atlas regions. In this study of 19 subjects, an average of 64% overlap with the Juelich brain atlas was observed.
Keywords :
biodiffusion; biomedical MRI; brain; cognition; graphs; medical image processing; Juelich brain atlas; anatomical connectivity; brain region; diffusion MRI; diffusion tensor tractography; functional heterogeneity; human inferior parietal lobule parcellation; language; mathematical cognition; memory; normalized graph-cut clustering algorithm; visuospatial attention; Clustering algorithms; Humans; Magnetic resonance imaging; Measurement; Standards; Symmetric matrices; Training; Brain Mapping; Diffusion Magnetic Resonance Imaging; Humans; Parietal Lobe;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346650