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


Autoria(s): Prados Carrasco, Ferran; Bardera i Reig, Antoni; Sbert, Mateu; Boada, Imma; Feixas Feixas, Miquel
Data(s)

07/11/2010

Resumo

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

Identificador

http://hdl.handle.net/10256/3056

Idioma(s)

eng

Publicador

IEEE

Direitos

Tots els drets reservats

Palavras-Chave #Cervell #Entropia #Montecarlo, Mètode de #Valors propis #Brain #Entropy #Eigenvalues #Monte Carlo method
Tipo

info:eu-repo/semantics/article