Literature DB >> 27173968

Improving peak local SAR prediction in parallel transmit using in situ S-matrix measurements.

Matthew Restivo1, Alexander Raaijmakers1, Cornelis van den Berg1, Peter Luijten1, Hans Hoogduin1.   

Abstract

PURPOSE: Peak local specific absorption rate (pSAR10g) is an important parameter used to determine patient safety during radiofrequency transmission. pSAR10g predictions for parallel transmit MRI are affected by the level of coupling exhibited by a modeled array in the simulation environment. However, simulated array coupling is rarely equal to the physical array coupling. Accurately simulating the physical array coupling may improve the accuracy of predicted SAR levels.
METHODS: The scattering parameter matrix (S-matrix) of a prototype 4-channel array was measured in situ using directional couplers installed on a 7T scanner. Agreement between the simulated and measured S-matrix was achieved by using network co-simulation with a modified cost function. B1+ maps acquired in a phantom were compared to B1+ distributions determined from simulations.
RESULTS: The modified co-simulation technique forces the simulations to have S-matrices similar to the measured values. A comparison of realistically versus ideally simulated coupling conditions shows that ideally simulated coupling can result in large ( > 40%) error in pSAR10g predictions, even when the array is reasonably tuned. The simulated B1+ distributions match the measured B1+ distributions better when the coupling is accurately simulated.
CONCLUSION: Considering the measured array coupling matrix in numerical simulations eliminates a potential confound in pSAR10g prediction. Magn Reson Med 77:2040-2047, 2017.
© 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  SAR; network cosimulation; numerical simulation; parallel transmit

Mesh:

Year:  2016        PMID: 27173968     DOI: 10.1002/mrm.26261

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  7 in total

1.  Real-time assessment of potential peak local specific absorption rate value without phase monitoring: Trigonometric maximization method for worst-case local specific absorption rate determination.

Authors:  Ettore Flavio Meliadò; Alessandro Sbrizzi; Cornelis A T van den Berg; Peter R Luijten; Alexander J E Raaijmakers
Journal:  Magn Reson Med       Date:  2020-12-22       Impact factor: 4.668

Review 2.  Parallel Transmission for Ultrahigh Field MRI.

Authors:  Cem M Deniz
Journal:  Top Magn Reson Imaging       Date:  2019-06

3.  Bench to bore ramifications of inter-subject head differences on RF shimming and specific absorption rates at 7T.

Authors:  Benjamin M Hardy; Rana Banik; Xinqiang Yan; Adam W Anderson
Journal:  Magn Reson Imaging       Date:  2022-07-13       Impact factor: 3.130

4.  In vivo human head MRI at 10.5T: A radiofrequency safety study and preliminary imaging results.

Authors:  Alireza Sadeghi-Tarakameh; Lance DelaBarre; Russell L Lagore; Angel Torrado-Carvajal; Xiaoping Wu; Andrea Grant; Gregor Adriany; Gregory J Metzger; Pierre-Francois Van de Moortele; Kamil Ugurbil; Ergin Atalar; Yigitcan Eryaman
Journal:  Magn Reson Med       Date:  2019-11-21       Impact factor: 4.668

5.  Electromagnetic simulation of a 16-channel head transceiver at 7 T using circuit-spatial optimization.

Authors:  Xin Li; Jullie W Pan; Nikolai I Avdievich; Hoby P Hetherington; Joseph V Rispoli
Journal:  Magn Reson Med       Date:  2021-02-03       Impact factor: 3.737

6.  Assessment of radio-frequency heating of a parallel transmit coil in a phantom using multi-echo proton resonance frequency shift thermometry.

Authors:  Hongbae Jeong; Matthew C Restivo; Peter Jezzard; Aaron T Hess
Journal:  Magn Reson Imaging       Date:  2020-12-29       Impact factor: 2.546

7.  Extended RF shimming: Sequence-level parallel transmission optimization applied to steady-state free precession MRI of the heart.

Authors:  Arian Beqiri; Anthony N Price; Francesco Padormo; Joseph V Hajnal; Shaihan J Malik
Journal:  NMR Biomed       Date:  2017-02-14       Impact factor: 4.044

  7 in total

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