TY - GEN
T1 - A Monte Carlo-based fiber tracking algorithm using diffusion tensor MRI
AU - Prados, F.
AU - Bardera, A.
AU - Sbert, M.
AU - Boada, I.
AU - Feixas, M.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33845568771
U2 - 10.1109/CBMS.2006.20
DO - 10.1109/CBMS.2006.20
M3 - Conference proceeding
AN - SCOPUS:33845568771
SN - 0769525172
SN - 9780769525174
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 353
EP - 357
BT - Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
T2 - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Y2 - 22 June 2006 through 23 June 2006
ER -