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Abstract #2121

A Separable Approximation to DSI Deconvolution

Michael Paquette1, Maxime Descoteaux2

1SCIL, Universite de Sherbrooke, Sherbrooke, Quebec, Canada; 2SCIL, Universit de Sherbrooke, Sherbrooke, Quebec, Canada

The q-space truncation induce in the classical acquisition scheme of Diffusion Spectrum Imaging leads to a modified version of the diffusion propagator. That modification can be inverted by deconvolution methods. This work present a separable deconvolution approximation to get better propagator. Those better propagators leads to more physically meaningful diffusion space metric and sharper orientation distribution functions.