Literature DB >> 18441413

Calorimetric calibration of head coil SAR estimates displayed on a clinical MR scanner.

Krzysztof R Gorny1, Matt A Bernstein, Joel P Felmlee, Heidi A Ward, Kiaran P McGee, Diana M Lanners, Kendall H Lee.   

Abstract

Calorimetric measurements were performed to determine the average specific absorption rates (SAR) resulting from MRI head examinations. The data were compared with average head coil SAR estimates displayed by the MR scanner in order to refine the imaging protocols used in imaging patients with implanted deep brain stimulators (DBS). The experiments were performed using transmit-receive (TR) head coil on clinical 1.5 T General Electric MR scanners running 11.0 M4 revision software. The average applied SAR was derived from temperature increases measured inside a head phantom, due to deposition of RF energy during MRI scanning with a spin echo imaging sequence. The measurements were repeated for varied levels of RF transmit gain (TG) and analyzed with a range of entered patient weights. The measurements demonstrate that the ratio of the actual average head SAR to the scanner-displayed value (coil correction factor) decreases for decreasing TG or for increasing patient weight and may vary between 0.3 and 2.1. An additional retrospective patient study, however, shows that not all combinations of TG and patient weight are encountered clinically and, instead, TG generally increases with the patient weight. As a result, a much narrower range of coil correction factors (e.g., typically 0.5-1.0) will be encountered in practice. The calorimetric method described in this work could aid the physicians and technologists in refinement of the model-dependent SAR estimates displayed by the MR scanner, and in selection of imaging parameters for MR head examinations within allowable SAR safety levels.

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Year:  2008        PMID: 18441413     DOI: 10.1088/0031-9155/53/10/008

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

1.  Intraoperative magnetic resonance imaging findings during deep brain stimulation surgery.

Authors:  Olivia O Huston; Robert E Watson; Matt A Bernstein; Kiaran P McGee; S Matt Stead; Debb A Gorman; Kendall H Lee; John Huston
Journal:  J Neurosurg       Date:  2011-06-24       Impact factor: 5.115

2.  Average SAR prediction, validation, and evaluation for a compact MR scanner head-sized RF coil.

Authors:  M R Tarasek; Y Shu; D Kang; S Tao; E Gray; J Huston; Y Hua; D T B Yeo; M A Bernstein; T K Foo
Journal:  Magn Reson Imaging       Date:  2021-10-16       Impact factor: 2.546

3.  Measurements of RF heating during 3.0-T MRI of a pig implanted with deep brain stimulator.

Authors:  Krzysztof R Gorny; Michael F Presti; Stephan J Goerss; Sun C Hwang; Dong-Pyo Jang; Inyong Kim; Hoon-Ki Min; Yunhong Shu; Christopher P Favazza; Kendall H Lee; Matt A Bernstein
Journal:  Magn Reson Imaging       Date:  2012-12-07       Impact factor: 2.546

Review 4.  Magnetic resonance safety.

Authors:  Steffen Sammet
Journal:  Abdom Radiol (NY)       Date:  2016-03

5.  7T MR Thermometry technique for validation of system-predicted SAR with a home-built radiofrequency wrist coil.

Authors:  Andrew J Fagan; Paul S Jacobs; Thomas C Hulshizer; Phillip J Rossman; Matthew A Frick; Kimberly K Amrami; Joel P Felmlee
Journal:  Med Phys       Date:  2020-12-31       Impact factor: 4.071

6.  Use of a radio frequency shield during 1.5 and 3.0 Tesla magnetic resonance imaging: experimental evaluation.

Authors:  Christopher P Favazza; Deirdre M King; Heidi A Edmonson; Joel P Felmlee; Phillip J Rossman; Nicholas J Hangiandreou; Robert E Watson; Krzysztof R Gorny
Journal:  Med Devices (Auckl)       Date:  2014-10-29

Review 7.  Neuroimaging and deep brain stimulation.

Authors:  D Dormont; D Seidenwurm; D Galanaud; P Cornu; J Yelnik; E Bardinet
Journal:  AJNR Am J Neuroradiol       Date:  2009-09-12       Impact factor: 4.966

  7 in total

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