NDLI: System and SAR characterization in parallel RF transmission

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System and SAR characterization in parallel RF transmission

Content Provider	Scilit
Author	Zhu, Yudong Alon, Leeor Deniz, Cem M. Brown, Ryan Sodickson, Daniel K.
Copyright Year	2011
Description	Journal: Magnetic Resonance in Medicine The markedly increased degrees of freedom introduced by parallel radiofrequency transmission presents both opportunities and challenges for specific absorption rate (SAR) management. On one hand they enable E-field tailoring and SAR reduction while facilitating excitation profile control. On other hand they increase the complexity of SAR behavior and the risk of inadvertently exacerbating SAR by improper design or playout of radiofrequency pulses. The substantial subject-dependency of SAR in high field magnetic resonance can be a compounding factor. Building upon a linear system concept and a calibration scheme involving a finite number of in situ measurements, this work establishes a clinically applicable method for characterizing global SAR behavior as well as channel-by-channel power transmission. The method offers a unique capability of predicting, for any excitation, the SAR and power consequences that are specific to the subject to be scanned and the MRI hardware. The method was validated in simulation and experimental studies, showing promise as the foundation to a prospective paradigm where power and SAR are not only monitored but, through prediction-guided optimization, proactively managed.
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299876/pdf
Ending Page	1378
Page Count	12
Starting Page	1367
e-ISSN	15222594
DOI	10.1002/mrm.23126
Journal	Magnetic Resonance in Medicine
Issue Number	5
Volume Number	67
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2011-12-02
Access Restriction	Open
Subject Keyword	Journal: Magnetic Resonance in Medicine Radiology, Nuclear Medicine and Imaging Rf Power Rf Safety Parallel Rf Transmission Rf Shimming B1 Shimming Rf Coil High Field Mr System Calibration Linear System
Content Type	Text
Resource Type	Article

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