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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Specific absorption rate intersubject variability in 7T parallel transmit MRI of the head
Martijn de Greef1, Ozlem Ipek, Alexander J E Raaijmakers
1Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. m.degreef@umcutrecht.nl
Magnetic Resonance in Medicine
|July 5, 2012
Summary
Generic head models can accurately predict specific absorption rate (SAR) in 7T MRI, enabling effective radiofrequency shimming. A safety factor of 1.4 is sufficient, making patient-specific models unnecessary for safety monitoring.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
- Computational Electromagnetics
Background:
- High-field MRI (7T) requires precise radiofrequency (RF) shimming for optimal image quality.
- Patient-specific specific absorption rate (SAR) monitoring is crucial for safety during RF shimming.
- Numerical simulations are effective for SAR assessment but often rely on patient-specific dielectric models.
Purpose of the Study:
- To investigate the feasibility of using generic head models for SAR estimation in 7T MRI.
- To determine if a safety factor can account for population variations in SAR behavior.
- To evaluate the effectiveness of generic models for SAR-constrained RF shimming.
Main Methods:
- Simulated RF fields for an eight-channel transmit array using six detailed head models at 7T.
- Analyzed generic SAR behavior by comparing eigenvalues/eigenvectors of local Q-matrices.
- Performed numerical RF shimming with and without SAR constraints, evaluating SAR on generic models.
Main Results:
- Largest eigenvalue distribution showed comparable SAR behavior across different generic models.
- RF shimming without constraints improved |B +1| homogeneity but significantly increased SAR.
- SAR estimation using a generic model with a safety factor of 1.4 proved effective for shimming constraints.
Conclusions:
- Generic head models are a practical alternative to patient-specific models for SAR assessment in 7T MRI.
- Effective |B +1| shimming with SAR constraints is achievable using generic models.
- A safety factor of 1.4 adequately addresses population variability in SAR for 7T head imaging.

