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Abstract #0229

Model based joint B0 and image estimation framework for dynamic field mapping and signal pile-up correction in prostate diffusion MRI

Muhammad Usman1, Antonis Matakos2, Lebina Kakkar1, Simon Arridge1, and David Atkinson1

1University College London, London, United Kingdom, 2Canon Medical Research USA, Cleveland, OH, United States

Prostate diffusion MRI is recognized as a potential biomarker for tumour detection but currently it is unusable in some patients due to significant distortions. We proposed a novel model based joint image and B0 reconstruction framework that can correct these distortions by using data acquired from opposite phase encoding gradient directions. Using sampling time shift between the two acquisitions, the proposed method is robust against any dynamic changes in the off resonance effects in the prostate-rectal air region.

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