2026-04-13T00:08:41Zhttps://recercat.cat/oai/request

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

A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI Prados Carrasco, Ferran Bardera i Reig, Antoni Sbert, Mateu Boada, Imma Feixas Feixas, Miquel Cervell Entropia Montecarlo, Mètode de Valors propis Brain Entropy Eigenvalues Monte Carlo method 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 2024-06-14T10:06:23Z 2024-06-14T10:06:23Z 2024-06-14T10:06:23Z 2006 info:eu-repo/semantics/article http://hdl.handle.net/10256/3056 info:eu-repo/semantics/altIdentifier/doi/10.1109/CBMS.2006.20 info:eu-repo/semantics/altIdentifier/issn/1063-7125 info:eu-repo/semantics/altIdentifier/isbn/0-7695-2517-1 Tots els drets reservats info:eu-repo/semantics/openAccess IEEE © 19th IEEE International Symposium on Computer-Based Medical Systems : 2006 : CBMS 2006, 2006, p. 353-358 Articles publicats (D-IMA)