SAR reduction in 7T C-spine imaging using a “dark modes” transmit array strategy
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SAR reduction.pdf
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Author(s)
Guerin, Bastien
Keil, Boris
Mareyam, Azma
Kosior, Robert K.
Martin, Adrian
Torrado-Carvajal, Angel
Malpica, Norberto
Hernandez-Tamames, Juan A.
Schiavi, Emanuele
Eryaman, Yigitcan
Date Issued
April 2014
Journal
Magnetic Resonance in Medicine
Publisher
Wiley Blackwell
Citation
Eryaman, Yigitcan et al. “SAR Reduction in 7T C-Spine Imaging Using a ‘dark Modes’ Transmit Array Strategy: SAR Reduction Using a ‘Dark Modes’ Strategy.” Magnetic Resonance in Medicine 73.4 (2015): 1533–1539.
Version
Author's final manuscript
Abstract
Purpose: Local specific absorption rate (SAR) limits many applications of parallel transmit (pTx) in ultra high-field imaging. In this Note, we introduce the use of an array element, which is intentionally inefficient at generating spin excitation (a “dark mode”) to attempt a partial cancellation of the electric field from those elements that do generate excitation. We show that adding dipole elements oriented orthogonal to their conventional orientation to a linear array of conventional loop elements can lower the local SAR hotspot in a C-spine array at 7 T.
Methods: We model electromagnetic fields in a head/torso model to calculate SAR and excitation B1+ patterns generated by conventional loop arrays and loop arrays with added electric dipole elements. We utilize the dark modes that are generated by the intentional and inefficient orientation of dipole elements in order to reduce peak 10g local SAR while maintaining excitation fidelity.
Results: For B[subscript 1][superscript +] shimming in the spine, the addition of dipole elements did not significantly alter the B[subscript 1][superscript +] spatial pattern but reduced local SAR by 36%.
Conclusion: The dipole elements provide a sufficiently complimentary B1+ and electric field pattern to the loop array that can be exploited by the radiofrequency shimming algorithm to reduce local SAR.
MIT Department
Institute for Medical Engineering and Science
Harvard-MIT Program in Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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DOI of Published Version
https://doi.org/10.1002/mrm.25246
