SAR-efficient sub-volume imaging using nonlinear gradient magnetic fields

Kopanoglu, Emre ORCID: https://orcid.org/0000-0001-8982-4441, Atalar, Ergin and Constable, R. Todd 2026. SAR-efficient sub-volume imaging using nonlinear gradient magnetic fields. Journal of Imaging 12 (6) , 261. 10.3390/jimaging12060261

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Abstract

Excitation using nonlinear gradient magnetic fields is investigated as a means of sub-volume magnetic resonance imaging (MRI). Conventional gradient fields provide encoding along a single direction, whereas nonlinear gradient fields encode information simultaneously along at least two directions. This leads to excitation regions (FOX) that have curvilinear boundaries, which may be more tolerant to aliasing artifacts when the encoded field of view (FOV) is smaller than the FOX. This reduces the complexity of the required radiofrequency (RF) excitation pulses and enables accelerated reduced-FOV imaging with standard slice-selection RF-pulses. We demonstrate the approach using a Z2-harmonic field for cylindrical regions of interest (ROIs) with various radius/height ratios. The minimum-FOV that should be encoded is formulated in terms of ROI and RF pulse parameters to allow a theoretical evaluation of feasibility during study design. The investigated method is compared to one-dimensional and two-dimensional selective RF pulses in terms of echo time, scan time and specific absorption rate (SAR) using simulations and phantom experiments. The investigated method yields lower scan time while keeping the SAR unaltered compared to a conventional slice-selective RF pulse, and is more efficient in terms of SAR, echo time and scan time compared to two-dimensional selective excitation.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Psychology Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC)
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/, Start Date: 2026-06-13
Publisher:	MDPI
Date of First Compliant Deposit:	29 June 2026
Date of Acceptance:	9 June 2026
Last Modified:	29 Jun 2026 11:30
URI:	https://orca.cardiff.ac.uk/id/eprint/187789

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