2026-04-13T02:03:43Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/30562024-06-14T10:06:23Zcom_2072_452955com_2072_2054col_2072_453069

00925njm 22002777a 4500 dc Prados Carrasco, Ferran author Bardera i Reig, Antoni author Sbert, Mateu author Boada, Imma author Feixas Feixas, Miquel author 2006 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 http://hdl.handle.net/10256/3056 Cervell Entropia Montecarlo, Mètode de Valors propis Brain Entropy Eigenvalues Monte Carlo method A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI