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Abstract #4707

Signal to Noise Ratio of High B-Value Diffusion Weighted Images Is Improved Using Computed Diffusion Weighted Imaging

Matthew David Blackledge1, David J. Collins1, Dow-Mu Koh1, Martin O. Leach1

1CR-UK and EPSRC Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden Hospital, Sutton, Surrey, United Kingdom

AAn acquisition scheme optimized for computed Diffusion Weighted Imaging (cDWI) is discussed and a theoretical model for diffusion weighted image noise is presented. It is demonstrated through theory and experimental studies that noise is reduced in calculated high b-value images compared to conventional acquired high b-value DWI using this method.