Literature DB >> 23754584

Intersubject local SAR variation for 7T prostate MR imaging with an eight-channel single-side adapted dipole antenna array.

Ozlem Ipek1, Alexander J Raaijmakers, Jan J Lagendijk, Peter R Luijten, Cornelis A T van den Berg.   

Abstract

PURPOSE: Surface transmit arrays used in ultra-high field body MRI require local specific absorption rate (SAR) assessment. As local SAR cannot be measured directly, local SAR is determined by simulations using dielectric patient models. In this study, the inter-patient local SAR variation is investigated for 7T prostate imaging with the single-side adapted dipole antenna array.
METHOD: Four-dedicated dielectric models were created by segmenting Dixon water-fat separated images that were obtained from four subjects with a 1.5T scanner and the surface array in place. Electromagnetic simulations were performed to calculate the SAR distribution for each model. Radio frequency (RF) exposure variations were determined by analyzing the SAR(10g) distributions (1) with one element active, (2) using a Q-matrix eigenvalue/eigenvector approach, (3) with the maximum potential SAR in each voxel, and (4) for a phase shimmed prostate measurement.
RESULTS: Maximum potential local SAR levels for 1 W time-averaged accepted power per transmit channel range from 4.1 to 7.1 W/kg.
CONCLUSION: These variations show that one model is not sufficient to determine safe scan settings. For the operation of the surface array conservative power settings were derived based on a worst-case SAR evaluation and the most SAR-sensitive body model.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  parallel transmit; segmented body models; specific absorption rate; surface body coil array; ultra-high field MRI

Mesh:

Year:  2013        PMID: 23754584     DOI: 10.1002/mrm.24794

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


  17 in total

Review 1.  Magnetic resonance imaging at ultrahigh fields.

Authors:  Kamil Ugurbil
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

2.  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

3.  Electrodynamics and radiofrequency antenna concepts for human magnetic resonance at 23.5 T (1 GHz) and beyond.

Authors:  Lukas Winter; Thoralf Niendorf
Journal:  MAGMA       Date:  2016-04-20       Impact factor: 2.310

Review 4.  Imaging at ultrahigh magnetic fields: History, challenges, and solutions.

Authors:  Kamil Uğurbil
Journal:  Neuroimage       Date:  2017-07-08       Impact factor: 6.556

5.  Statistical simulation of SAR variability with geometric and tissue property changes by using the unscented transform.

Authors:  Yu Shao; Peng Zeng; Shumin Wang
Journal:  Magn Reson Med       Date:  2014-07-15       Impact factor: 4.668

6.  Specific absorption rate implications of within-scan patient head motion for ultra-high field MRI.

Authors:  Emre Kopanoglu; Cem M Deniz; M Arcan Erturk; Richard G Wise
Journal:  Magn Reson Med       Date:  2020-04-17       Impact factor: 4.668

Review 7.  Progress in Imaging the Human Torso at the Ultrahigh Fields of 7 and 10.5 T.

Authors:  Kamil Uğurbil; Pierre-Francois Van de Moortele; Andrea Grant; Edward J Auerbach; Arcan Ertürk; Russell Lagore; Jutta M Ellermann; Xiaoxuan He; Gregor Adriany; Gregory J Metzger
Journal:  Magn Reson Imaging Clin N Am       Date:  2021-02       Impact factor: 2.266

8.  SAR and temperature distributions in a database of realistic human models for 7 T cardiac imaging.

Authors:  Bart R Steensma; Ettore F Meliadò; Peter Luijten; Dennis W J Klomp; Cornelis A T van den Berg; Alexander J E Raaijmakers
Journal:  NMR Biomed       Date:  2021-05-06       Impact factor: 4.044

9.  Individualized SAR calculations using computer vision-based MR segmentation and a fast electromagnetic solver.

Authors:  Eugene Milshteyn; Georgy Guryev; Angel Torrado-Carvajal; Elfar Adalsteinsson; Jacob K White; Lawrence L Wald; Bastien Guerin
Journal:  Magn Reson Med       Date:  2020-07-08       Impact factor: 4.668

Review 10.  7 T renal MRI: challenges and promises.

Authors:  Anneloes de Boer; Johannes M Hoogduin; Peter J Blankestijn; Xiufeng Li; Peter R Luijten; Gregory J Metzger; Alexander J E Raaijmakers; Lale Umutlu; Fredy Visser; Tim Leiner
Journal:  MAGMA       Date:  2016-03-23       Impact factor: 2.310

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