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Abstract #0373

Noise reduction in diffusion weighted MRI of the pancreas using an L1-regularized iterative SENSE reconstruction

Omar Kamal1,2, Sean McTavish1, Felix Harder1, Anh T. Van1, Johannes M. Peeters3, Kilian Weiss4, Marcus R. Makowski1, Dimitrios C. Karampinos1, and Rickmer F. Braren1
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Department of Radiology, South Egypt Cancer Institute, Assiut, Egypt, 3Philips Healthcare, Best, Netherlands, 4Philips GmbH, Hamburg, Germany

DWI plays a growing role in the imaging of the pancreas. Current abdominal DWI scans have a large field of view with limited resolution. Approaches for a higher resolution single-shot DW-EPI with SENSE often suffer from g-factor-induced noise band-like artifacts from which the pancreas is significantly affected due to its central location. We use an L1-regularized iterative SENSE reconstruction to obtain high resolution single shot DW-EPI with reduced noise in patients with pancreatic cancer. The employed method reduces the noise band-like artifacts over the pancreas and eliminates the noise bias from the ADC measurements without lengthening scan times.

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