Field-based spatial self-registration of multi-coil hardware for B0 field control

Motivation: Successful multi-coil B0 field control relies on reproducible hardware placement. Goal(s): Our goal was to detect hardware misplacements from MC-generated field patterns alone (i.e. without field probes) to allow spatial transformations for correction. Approach: We co-registered unique field maps before and after hardware displacements to derive the underlying translation and rotation parameters. Results: In simulation and preliminary scanner validation, hardware misplacements were detected with sub-millimeter/sub-degree precision. Impact: Field-based spatial self-registration for multi-coil field inserts is expected to allow optimal B0 field control even with differences in hardware placement, thus preserving the best shim performance.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4944
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
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article

Field-based spatial self-registration of multi-coil hardware for B0 field control

Carlotta Ianniello, I.M. MacLeod, Christoph Juchem, Sebastian Theilenberg et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Iterative Learning Control Systems
article

Field-based spatial self-registration of multi-coil hardware for B0 field control

Carlotta Ianniello, I.M. MacLeod, Christoph Juchem, Sebastian Theilenberg, Isabelle Zinghini
article en

Abstract

Motivation: Successful multi-coil B0 field control relies on reproducible hardware placement. Goal(s): Our goal was to detect hardware misplacements from MC-generated field patterns alone (i.e. without field probes) to allow spatial transformations for correction. Approach: We co-registered unique field maps before and after hardware displacements to derive the underlying translation and rotation parameters. Results: In simulation and preliminary scanner validation, hardware misplacements were detected with sub-millimeter/sub-degree precision. Impact: Field-based spatial self-registration for multi-coil field inserts is expected to allow optimal B0 field control even with differences in hardware placement, thus preserving the best shim performance.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Iterative Learning Control Systems
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