Abstract #2822
The diffusion-ODF as a band-pass filter - selecting the right diffusion and improving angular resolution
Luis Miguel Lacerda 1 , Jonathan I. Sperl 2 , Marion I. Menzel 2 , Gareth Barker 1 , and Flavio Dell'Acqua 1
1
Department of Neuroimaging, The Institute of
Psychiatry, Psychology & Neuroscience, King's College
London, London, Denmark Hill, United Kingdom,
2
GE
Global Research, Munich, BY, Germany
Model-free diffusion imaging techniques enable the
reconstruction of the orientation distribution
function(ODF) from the diffusion propagator. This
function should only recover displacement probabilities
consistent with white matter avoiding as much as
possible partial volume contaminations. In this study,
we propose a new method for ODF computation; it is
characterized by restricting integration to a range of
displacement probabilities, derived from prior knowledge
of the expected physical displacements associated with
diffusion along the direction of axons. The proposed
method returns better white matter orientation showing
higher angular resolution, without the need of min-max
normalisation, thus retaining the quantitative nature of
ODFs.
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