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Abstract #2659

Evaluation of a Vendor-Agnostic, Free-Breathing Fat and Iron Quantification Technique in Adults and Children

Jiayi Tang1,2, Daiki Tamada2, Jon-Fredrik Nielsen3, Jitka Starekova2, Alexandra A Anagnostopoulos2, Austin Murphy2, Norah Duritsa2, Aaron Carrel4, Ivan Rosado Mendez1,2, Scott B Reeder1,2,5,6,7, and Diego Hernando1,2
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 4Pediatrics, University of Wisconsin-Madison, Madison, WI, United States, 5Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: Liver, Fat and Fat/Water Separation, Validation, cross-vendor, vendor-agnostic

Motivation: Flip-angle modulation (FAM) for motion-robust fat and iron quantification was recently implemented in the vendor-neutral platform Pulseq and demonstrated free-breathing feasibility in two healthy volunteers at 3T. Larger-scale evaluation in patients and in multiple field strengths is needed to validate Pulseq-FAM.

Goal(s): Validation of free-breathing Pulseq-FAM against product breath-held 3D-CSE and vendor-platform free-breathing FAM methods.

Approach: Prospective in vivo studies in adult liver steatosis/iron overload patients, and children with normal and elevated BMI.

Results: Pulseq-FAM shows strong agreement with product 3D-CSE and vendor-platform FAM. Pulseq-FAM shows similar repeatability as vendor-platform FAM, and both FAM methods show superior repeatability to product 3D-CSE.

Impact: Free-breathing Pulseq-FAM has excellent performance in adults and children, and is easily deployable across multiple vendors. Therefore, Pulseq-FAM may enable cross-center studies and clinical trials for which sequence harmonization is crucial, and may encourage additional vendor-native implementations for clinical use.

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Keywords