Abstract #0373

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

Omar Kamal^1,2, 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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