New discriminants for detecting degenerate areas in DT-MRI

Authors:
Koji Sakai;Koji Koyamada
Affiliations:
Kyoto University, Center for the Promotion of Excellence in Higher Education, Yoshidanihonmatsu-cho, Sakyo-ku, Kyoto, Japan;Kyoto University, Center for the Promotion of Excellence in Higher Education, Yoshidanihonmatsu-cho, Sakyo-ku, Kyoto, Japan
Venue:
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
Year:
2006

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Abstract

In this paper, we propose some new degenerate tensor discriminants to determine the position of fiber crossing points in a given human brain white matter. This method utilizes the tensor elements obtained from DT-MRI acquisition for calculating these discriminants. We employed the relationship between the solutions and coefficients of the twice differentiated characteristic equation. We verified our proposal by using a synthetic tensor generated from DT-MRI data. Our proposal has shown effective on reducing the computation time for obtaining the degenerate points.