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Real valued diffusion‐weighted imaging using decorrelated phase filtering

Because of the intrinsic low signal‐to‐noise ratio in diffusion‐weighted imaging (DWI), magnitude processing often causes 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 that yields real valued diffusion data while maintaining a Gaussian noise distribution.