# Multi-Diffusion-Tensor Fitting via Spherical Deconvolution: A Unifying Framework

@article{Schultz2010MultiDiffusionTensorFV, title={Multi-Diffusion-Tensor Fitting via Spherical Deconvolution: A Unifying Framework}, author={Thomas Schultz and Carl-Fredrik Westin and Gordon L. Kindlmann}, journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention}, year={2010}, volume={13 Pt 1}, pages={ 674-81 } }

In analyzing diffusion magnetic resonance imaging, multi-tensor models address the limitations of the single diffusion tensor in situations of partial voluming and fiber crossings. However, selection of a suitable number of fibers and numerical difficulties in model fitting have limited their practical use. This paper addresses both problems by making spherical deconvolution part of the fitting process: We demonstrate that with an appropriate kernel, the deconvolution provides a reliable…

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