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Prados Carrasco, Ferran
Bardera i Reig, Antoni Sbert, Mateu Boada, Imma Feixas Feixas, Miquel |
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| 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 | |
| application/pdf | |
| Prados, F., Bardera, A., Sbert, M., Boada, I., i Feixas, M. (2006). A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI. 19th IEEE International Symposium on Computer-Based Medical Systems : 2006 : CBMS 2006, 353 - 358. Recuperat 28 setembre 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1647594 | |
| 0-7695-2517-1 | |
| 1063-7125 | |
| http://hdl.handle.net/10256/3056 | |
| eng | |
| IEEE | |
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/CBMS.2006.20 Articles publicats (D-IMA) |
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| © 19th IEEE International Symposium on Computer-Based Medical Systems : 2006 : CBMS 2006, 2006, p. 353-358 | |
| Tots els drets reservats | |
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Cervell
Entropia Montecarlo, Mètode de Valors propis Brain Entropy Eigenvalues Monte Carlo method |
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| A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
