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Abstract #5212

Motion-robust proton density fat fraction and T2* mapping in supraclavicular adipose tissue using radial stack-of-stars imaging

Johannes Raspe1, Jonathan Stelter2, Philipp Braun1, Mingming Wu2, and Dimitrios C. Karampinos2
1Department of Radiology, Technical University of Munich, Munich, Germany, 2Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany

Synopsis

Keywords: Fat & Fat/Water Separation, Fat and Fat/Water Separation, Metabolism

Motivation: The supraclavicular (SCV) fossa, potentially containing brown adipose tissue, is an interesting target for metabolic studies. However, residual respiratory motion can induce B0 fluctuations, complicating MRI measurements.

Goal(s): To compare proton density fat fraction (PDFF) and T2* mapping precision using cartesian and radial acquisitions.

Approach: Simulations and repeated in vivo scans were performed with both cartesian and radial acquisition techniques.

Results: Radial acquisitions demonstrated fewer artifacts and produced more stable PDFF and T2* maps compared to cartesian acquisitions.

Impact: Our analysis provides evidence that choosing a radial stack-of-stars acquisition over cartesian sampling improves precision of proton density fat fraction (PDFF) and T2* mapping. This potentially improves investigation of dynamic changes in brown adipose in an activation paradigm.

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