Literature DB >> 22611018

SAR simulations for high-field MRI: how much detail, effort, and accuracy is needed?

S Wolf1, D Diehl, M Gebhardt, J Mallow, O Speck.   

Abstract

Accurate prediction of specific absorption rate (SAR) for high field MRI is necessary to best exploit its potential and guarantee safe operation. To reduce the effort (time, complexity) of SAR simulations while maintaining robust results, the minimum requirements for the creation (segmentation, labeling) of human models and methods to reduce the time for SAR calculations for 7 Tesla MR-imaging are evaluated. The geometric extent of the model required for realistic head-simulations and the number of tissue types sufficient to form a reliable but simplified model of the human body are studied. Two models (male and female) of the virtual family are analyzed. Additionally, their position within the head-coil is taken into account. Furthermore, the effects of retuning the coils to different load conditions and the influence of a large bore radiofrequency-shield have been examined. The calculation time for SAR simulations in the head can be reduced by 50% without significant error for smaller model extent and simplified tissue structure outside the coil. Likewise, the model generation can be accelerated by reducing the number of tissue types. Local SAR can vary up to 14% due to position alone. This must be considered and sets a limit for SAR prediction accuracy. All these results are comparable between the two body models tested.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22611018     DOI: 10.1002/mrm.24329

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


  31 in total

1.  Surface coil with reduced specific absorption rate for rat MRI at 7 T.

Authors:  Sergio E Solis-Najera; Rodrigo Martin; Fabian Vazquez; Alfredo O Rodriguez
Journal:  MAGMA       Date:  2015-10-08       Impact factor: 2.310

2.  Assessing the Electromagnetic Fields Generated By a Radiofrequency MRI Body Coil at 64 MHz: Defeaturing Versus Accuracy.

Authors:  Elena Lucano; Micaela Liberti; Gonzalo G Mendoza; Tom Lloyd; Maria Ida Iacono; Francesca Apollonio; Steve Wedan; Wolfgang Kainz; Leonardo M Angelone
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-17       Impact factor: 4.538

3.  The 'virtual DBS population': five realistic computational models of deep brain stimulation patients for electromagnetic MR safety studies.

Authors:  Bastien Guerin; Maria Ida Iacono; Mathias Davids; Darin Dougherty; Leonardo M Angelone; Lawrence L Wald
Journal:  Phys Med Biol       Date:  2019-02-04       Impact factor: 3.609

4.  Toward 7T breast MRI clinical study: safety assessment using simulation of heterogeneous breast models in RF exposure.

Authors:  Xin Li; Joseph V Rispoli
Journal:  Magn Reson Med       Date:  2018-09-14       Impact factor: 4.668

Review 5.  Implementation of a comprehensive MR safety course for medical students.

Authors:  Steffen Sammet; Christina L Sammet
Journal:  J Magn Reson Imaging       Date:  2015-07-14       Impact factor: 4.813

6.  Quantitative prediction of radio frequency induced local heating derived from measured magnetic field maps in magnetic resonance imaging: A phantom validation at 7 T.

Authors:  Xiaotong Zhang; Pierre-Francois Van de Moortele; Jiaen Liu; Sebastian Schmitter; Bin He
Journal:  Appl Phys Lett       Date:  2014-12-15       Impact factor: 3.791

7.  How to design and construct a 3D-printed human head phantom.

Authors:  Sossena Wood; Tiago Martins; Tamer S Ibrahim
Journal:  J 3D Print Med       Date:  2019-08-21

8.  Design and application of combined 8-channel transmit and 10-channel receive arrays and radiofrequency shimming for 7-T shoulder magnetic resonance imaging.

Authors:  Ryan Brown; Cem Murat Deniz; Bei Zhang; Gregory Chang; Daniel K Sodickson; Graham C Wiggins
Journal:  Invest Radiol       Date:  2014-01       Impact factor: 6.016

Review 9.  Magnetic-resonance-based electrical properties tomography: a review.

Authors:  Xiaotong Zhang; Jiaen Liu; Bin He
Journal:  IEEE Rev Biomed Eng       Date:  2014

10.  Effects of Anatomical Differences on Electromagnetic Fields, SAR, and Temperature Change.

Authors:  Leeor Alon; Cem Murat Deniz; Giuseppe Carluccio; Ryan Brown; Daniel K Sodickson; Christopher M Collins
Journal:  Concepts Magn Reson Part B Magn Reson Eng       Date:  2015-12-15       Impact factor: 1.176

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