Article

B(1)(+)/actual flip angle and reception sensitivity mapping methods: simulation and comparison.

Institute of Clinical Physiology, CNR, Pisa, Italy.
Magnetic Resonance Imaging (impact factor: 1.99). 06/2011; 29(5):717-22. DOI:10.1016/j.mri.2011.01.004 pp.717-22
Source: PubMed

ABSTRACT Knowledge of the spatial distribution of transmission field B(1)(+) and reception sensitivity maps is important in high-field (≥3 T) human magnetic resonance (MR) imaging for several reasons: these include post-acquisition correction of intensity inhomogeneities, which may affect the quality of images; modeling and design of radiofrequency (RF) coils and pulses; validating theoretical models for electromagnetic field calculations; testing the compatibility with MR environment of biomedical implants. Moreover, inhomogeneities in the RF field are an essential source of error for quantitative MR spectroscopy. Recent studies have also shown that B(1)(+) and reception sensitivity maps can be used for direct calculation of tissue electrical parameters and for estimating the local specific absorption rate (SAR) in vivo. Several B(1)(+) mapping techniques have been introduced in the past few years based on actual flip angle (FA) mapping, but, to date, none has emerged as a standard. For reception sensitivity calculation, the signal intensity equation can be used where the nominal FA distribution must be replaced with the actual FA distribution calculated by one of the B(1)(+) mapping techniques. This study introduces a quantitative comparison between two known methods for B(1)(+)/actual FA and reception sensitivity mapping: the double-angle method (DAM) and the fitting (FIT) method. Experimental data obtained using DAM and FIT methods are also compared with numerical simulation results.

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Keywords

actual flip angle
 
direct calculation
 
electromagnetic field calculations
 
essential source
 
include post-acquisition correction
 
intensity inhomogeneities
 
local specific absorption rate
 
MR environment
 
nominal FA distribution
 
numerical simulation results
 
Recent studies
 
reception sensitivity
 
reception sensitivity calculation
 
reception sensitivity maps
 
RF field
 
signal intensity equation
 
study introduces
 
tissue electrical parameters
 
transmission field B(1)(+)
 
validating theoretical models