Estimating variations in SAR calculations due to within-scan patient motion using cGANs for parallel RF transmission at ultrahigh field MRI

Blanter, Katherine, Plumley, Alix, Malik, Shaihan and Kopanoglu, Emre ORCID: https://orcid.org/0000-0001-8982-4441 2024. Estimating variations in SAR calculations due to within-scan patient motion using cGANs for parallel RF transmission at ultrahigh field MRI. Presented at: 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore, 4-9 May, 2024. ISMRM & ISMRT Annual Meeting. 0468. 10.58530/2024/0468

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Abstract

Motivation: Specific absorption rate (SAR), a proxy measure for tissue heating, is affected by patient motion. SAR safety factors during MRI scanning are intentionally overconservative. Goal(s): While designed to ensure patient safety, overconservativeness impedes the utility of scanning with parallel-transmit (pTx) 7T MRI. We aim to relieve pTx MRI from overconservativeness while maintaining patient safety. Approach: We used deep learning to predict the location of hot-spots during head motion and applied them to a pTx design method which considers patient motion. Results: We report that hot-spots are overcalculated almost 1.5-fold when the degree of motion is not included compared to when it is. Impact: Deep learning-estimated local specific absorption rate (SAR) variations caused by patient motion may be combined with within-scan motion tracking and subject-specific SAR models to create personalized SAR supervision for patients who cannot remain still for high-performance scanning while ensuring patient-safety.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Psychology
ISSN:	1545-4428
Date of First Compliant Deposit:	22 March 2024
Last Modified:	13 Jul 2026 14:00
URI:	https://orca.cardiff.ac.uk/id/eprint/166878

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