Probabilistic Anatomical Connection Derived from QBI with MFACT Approach

Author

Chao, Yi-Ping ; Yang, Chia-Yen ; Cho, Kuan-Hung ; Yeh, Chun-Hung ; Chou, Kun-Hsien ; Chen, Jyh-Horng ; Lin, Ching-Po

Author_Institution

Nat. Taiwan Univ., Taipei

fYear

2007

fDate

12-14 Oct. 2007

Firstpage

101

Lastpage

104

Abstract

Recently developed methods to resolve multiple fiber orientations within a voxel from high angular resolution diffusion imaging (HARDI) are applied to resolve complex neuronal connectivity. In the study, an extension of multiple streamline tractography was proposed to estimate the probabilistic fiber tracking between brain areas. Multi-fiber component in the conjunction of corticospinal tracts, corpus callosum, and superior longitudinal fasciculus were studied in this study. The extracted results from probabilistic tracking presented the potential to estimate the whole brain map of anatomical connection probability.

Keywords

biomedical imaging; brain; neurophysiology; angular resolution diffusion imaging; brain; complex neuronal connectivity; corpus callosum; corticospinal tracts; multiple fiber orientations; multiple streamline tractography; probabilistic anatomical connection; probabilistic fiber tracking; superior longitudinal fasciculus; Biomedical imaging; Brain mapping; Diffusion tensor imaging; High-resolution imaging; Humans; Image resolution; Magnetic heads; Magnetic resonance imaging; Neuroscience; Tensile stress; Connection probability; High angular resolution diffusion imaging (HARDI); Tractography;

fLanguage

English

Publisher

ieee

Conference_Titel

Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-0949-5

Electronic_ISBN

978-1-4244-0949-5

Type

conf

DOI

10.1109/NFSI-ICFBI.2007.4387698

Filename

4387698