DocumentCode :
3683962
Title :
Improved spherical deconvolution to solve fiber crossing in diffusion-weighted MR Imaging
Author :
Benedetta Toselli;Cristina Franchin;Paola Scifo;Giovanna Rizzo
Author_Institution :
Department of Computer Science, Biomedical Engineering, Robotics and System Engineering (DIBRIS), University of Genova, Via Dodecaneso 35, 16145, Italy
fYear :
2015
Firstpage :
406
Lastpage :
409
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.
Keywords :
"Image reconstruction","Convergence","Signal to noise ratio","Deconvolution","Signal sampling","Magnetic resonance imaging","Image resolution"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7318385
Filename :
7318385
Link To Document :
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