A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI

Authors:
F. Prados;A. Bardera;M. Sbert;I. Boada;M. Feixas
Affiliations:
Universitat de Girona, Spain;Universitat de Girona, Spain;Universitat de Girona, Spain;Universitat de Girona, Spain;Universitat de Girona, Spain
Venue:
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Year:
2006

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Abstract

Diffusion tensor magnetic resonance imaging, which measures directional information of water diffusion in the brain, has emerged as a powerful tool for human brain studies. In this paper, we introduce a new Monte Carlo-based fiber tracking approach to estimate brain connectivity. One of the main characteristics of this approach is that all parameters of the algorithm are automatically determined at each point using the entropy of the eigenvalues of the diffusion tensor. Experimental results show the good performance of the proposed approach.