Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik
Doi
Abstract
In this article we present a noise reduction method (msPOAS) for
multi-shell diffusionweighted magnetic resonance data. To our knowledge, this
is the first smoothing method which allows simultaneous smoothing of all
q-shells. It is applied directly to the diffusion weighted data and
consequently allows subsequent analysis by any model. Due to its adaptivity,
the procedure avoids blurring of the inherent structures and preserves
discontinuities. MsPOAS extends the recently developed positionorientation
adaptive smoothing (POAS) procedure to multi-shell experiments. At the same
time it considerably simplifies and accelerates the calculations. The
behavior of the algorithm msPOAS is evaluated on diffusion-weighted data
measured on a single shell and on multiple shells