Tim Sprenger Sprenger1,2, Jonathan I. Sperl2, Brice Fernandez3, Axel Haase1, and Marion Menzel2
1Technische Universität München, Munich, Germany, 2GE Global Research, Munich, Germany, 3GE Healthcare, Munich, Germany
Due to the intrinsic low signal to noise ratio in diffusion weighted imaging (DWI), magnitude processing often results in an overestimation of the signal’s amplitude. This results in low estimation accuracy of diffusion models and reduced contrast because of a superposition of the image signal and the noise floor. We adopt a new phase correction (PC) technique yielding real valued data and maintaining a Gaussian noise distribution. The advantage of PC is shown in a DSI experiment where the Ensemble average propagator is better delineated in the real valued data and delineation improves as the noise floor is lowered.
