Acceleration of chemical shift encoding-based water-fat imaging for pancreatic proton density fat fraction mapping in a single breath-hold
Selina Rupp1, Mingming Wu1, Jessie Han1, Kilian Weiss2, Johannes M Peeters3, Christina Holzapfel4, Marcus M Makowski1, Daniela Junker1, and Dimitrios C Karampinos1
1Technical University of Munich, München, Germany, 2Philips GmbH Market Dach, Hamburg, Germany, 3Philips Healthcare, Best, Netherlands, 4Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, München, Germany
With rising prevalence of obesity and metabolic syndrome comes an increasing demand of noninvasive detection of nonalcoholic fatty pancreas disease. Chemical shift encoding-based water-fat separation based on a multi-echo gradient echo acquisition enables pancreatic fat fraction (PDFF) mapping. The pancreas is a small organ and requires high spatial resolution which results in prolonged breath-hold duration for PDFF mapping. The present work aims to accelerate high-resolution single-breath-hold pancreas PDFF mapping using a methodology combining sparse sampled acquisitions with compressed sensing and deep learning reconstructions.
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