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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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