Abstract #2815
Diffusion in realistic biophysical systems may lead to aliasing effects in Diffusion Spectrum Imaging
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
Diffusion Spectrum Imaging(DSI) is a very complex
technique that requires extensive validation before it
can be well established in clinical practise. In this
study, we simulated different tissue configurations,
sampling schemes and processing steps to evaluate the
performance of DSI. From derived simulations it was
possible to identify specific configurations where DSI
is unable to characterize diffusion without artifacts,
namely aliasing caused by fast diffusion components.
Furthermore, processing of orientation distribution
functions in these environments may lead to generation
of spurious fibres. We reviewed the steps involved in
the derivation and analysis of DSI data and explored
these limitations.
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