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Abstract #2983

Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging

Marion I Menzel 1 , Tim Sprenger 1,2 , Ek T Tan 3 , Valdimir Golkov 1,2 , Christopher J Hardy 3 , Luca Marinelli 3 , and Jonathan I Sperl 1

1 Diagnostics, Imaging and Biomedical Technologies Europe, GE Global Research, Munich, Germany, 2 Technical University Munich, Munich, Germany, 3 GE Global Research, Niskayuna, NY, United States

Common diffusion MRI data processing is based on the magnitude, neglecting any phase in the underlying DWI. The observed net phase has a variety of contributing sources (B0 inhomogeneity, eddy currents, motion, etc.) which are difficult to disentangle. Separating these phase contributions however is advantageous, as the phase contains information on coherent motion (i.e. brain pulsatility); and as processing of DWI to obtain parametric quantities like DTI and Kurtosis benefits from taking real valued data, as magnitude processing introduces Rician bias. This work examines robustness of phase sensitive reconstruction applied to DSI data in phantoms and in vivo human brain.

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