Abstract
An improved spherical deconvolution algorithm to solve fiber crossing in diffusion magnetic resonance imaging is here presented. The introduction of a regularization parameter on the reconstruction of the fibers directions allows to consider the deconvolution as a constrained least squares problem and enforces the normalization of the reconstructed directions. Moreover a new automatic stopping criterion is implemented which allows to push the algorithm to convergence. These modifications improve significantly the performance of the algorithm, decreasing the resolution limit and reconstructing better profiles of the fibers.
Original language | English |
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Title of host publication | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 406-409 |
Number of pages | 4 |
Volume | 2015-November |
ISBN (Print) | 9781424492718 |
DOIs | |
Publication status | Published - Nov 4 2015 |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: Aug 25 2015 → Aug 29 2015 |
Other
Other | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Country/Territory | Italy |
City | Milan |
Period | 8/25/15 → 8/29/15 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics