Magnetic resonance imaging (MRI) is considered a safe technology since it relies only on spatial encoding of the position of atomic nuclei (mainly protons) in a static magnetic field irradiating them with radio-frequency (RF) pulses instead of ionizing radiation. Specific absorption rate (SAR) is the most frequently used parameter for monitoring and quantifying the power deposition on a subject during an MRI examination. The peak-to-average SAR ratio is important information for the MRI operator during the acquisition sequence setup. In this work, a birdcage body coil model is used for RF excitation of several inhomogeneous human thorax models with different sizes and weights. To study the peak-to-average SAR ratio correlation with sample metrics, numerical simulations using the finite difference time domain method were performed to estimate the peak and average SAR values on the entire sample volume. Results for 11 different thorax models indicate a strong correlation between the peak-to-average SAR value and the sample metrics.
Numerical Calculation of Peak-to-Average Specific Absorption Rate on Different Human Thorax Models for Magnetic Resonance Safety Considerations
VANELLO, NICOLA;LANDINI, LUIGI;
2010-01-01
Abstract
Magnetic resonance imaging (MRI) is considered a safe technology since it relies only on spatial encoding of the position of atomic nuclei (mainly protons) in a static magnetic field irradiating them with radio-frequency (RF) pulses instead of ionizing radiation. Specific absorption rate (SAR) is the most frequently used parameter for monitoring and quantifying the power deposition on a subject during an MRI examination. The peak-to-average SAR ratio is important information for the MRI operator during the acquisition sequence setup. In this work, a birdcage body coil model is used for RF excitation of several inhomogeneous human thorax models with different sizes and weights. To study the peak-to-average SAR ratio correlation with sample metrics, numerical simulations using the finite difference time domain method were performed to estimate the peak and average SAR values on the entire sample volume. Results for 11 different thorax models indicate a strong correlation between the peak-to-average SAR value and the sample metrics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
