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

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.