)
in a Stejskal-Tanner experiment allows one to obtain
information about the tissue microstructure. These
experiments require either high-gradient-field scanners,
long scanning times, or prior knowledge of the fiber
orientation. On the other hand, sampling the full
q-space allows one to work with no model constraints in
the propagator space and potentially might reveal
further tissue information. However, a full DSI
acquisition for a given set of more than one
is
clinically not feasible in terms of measuring time.
Therefore, we need a technique that allows combining DSI
acquisition and different
in
clinical time. In this abstract, we present a compressed
sensing algorithm and a study of five different
denoising associated techniques that reduce the
measuring time up to a factor of R=4.
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