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  Influence of 3T MRI coil modeling on EM exposure estimation using a human model

Kozlov, M., Weiskopf, N., & Möller, H. E. (2019). Influence of 3T MRI coil modeling on EM exposure estimation using a human model. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (pp. 535-536). doi:10.1109/APUSNCURSINRSM.2019.8889277.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-10E5-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-10E6-5
Genre: Conference Paper

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 Creators:
Kozlov, Mikhail1, Author              
Weiskopf, Nikolaus1, Author              
Möller, Harald E.2, Author              
Affiliations:
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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Free keywords: Magnetic resonance imaging; Feeds; Capacitors; Radio frequency; Magnetic heads; Load modeling; Electric fields
 Abstract: We evaluated the influence of 3T magnetic resonance imaging whole body birdcage coil modeling on electromagnetic exposure estimation using a human model. Simplification of coil geometry, realistic tuning and capacitor losses had a relevant impact on the estimated electric distributions. Variety of the generated electric field has to be carefully considered for reliable RF safety assessment of a patient with a passive or active implant undergoing magnetic resonance imaging.

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Language(s): eng - English
 Dates: 2019-10-31
 Publication Status: Published online
 Pages: -
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 Degree: -

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Title: IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting 2019
Place of Event: Atlanta, GA
Start-/End Date: 2019-07-07 - 2019-07-12

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Title: 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 535 - 536 Identifier: ISBN: 978-1-7281-0692-2