Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR
AU - Priyadarshi, Sanjay
AU - Pitman, Sam
AU - Glover, Paul
AU - Shah, Simon
AU - Ye, Jianqiao
AU - Hu, Bobo
AU - Letizia, Rosa
PY - 2014/12/8
Y1 - 2014/12/8
N2 - The conductivity and permittivity of biological tissue are critical to estimating local radiofrequency (RF) power deposition (also known as specific absorption rate SAR) for Ultra High Field Magnetic Resonance Imaging (UH-MRI). These electrical properties may also have diagnostic value as malignant tissue types have been shown to have higher permittivity and conductivity than surrounding healthy tissue [1]. Recently a new SAR calculation method of using the transmit B1+ map to obtain tissue electrical property has been proposed as a fast SAR calculation method, and has demonstrated great potential for practical applications. However the current numerical technique used in the B1+ map based electrical property calculation is based on a traditional Finite-Difference algorithm, and therefore it requires high-resolution original B1+ map to achieve accurate electrical property calculation. In this study, we have proposed the Spline interpolation of low resolution MRI B1+ map at 1.5T. The proposed method is robust in approximating complex shapes in medical images through curve fitting and therefore could provide sufficiently accurate approximation of the high resolution B1+ map through the low resolution raw data. This will prove to be useful in the fast real time estimation of local specific absorption rate without compromising the accuracy of SAR calculation. It is found that the Spline interpolation method helps in the reduction of MRI scan time and fast estimation of the SAR.
AB - The conductivity and permittivity of biological tissue are critical to estimating local radiofrequency (RF) power deposition (also known as specific absorption rate SAR) for Ultra High Field Magnetic Resonance Imaging (UH-MRI). These electrical properties may also have diagnostic value as malignant tissue types have been shown to have higher permittivity and conductivity than surrounding healthy tissue [1]. Recently a new SAR calculation method of using the transmit B1+ map to obtain tissue electrical property has been proposed as a fast SAR calculation method, and has demonstrated great potential for practical applications. However the current numerical technique used in the B1+ map based electrical property calculation is based on a traditional Finite-Difference algorithm, and therefore it requires high-resolution original B1+ map to achieve accurate electrical property calculation. In this study, we have proposed the Spline interpolation of low resolution MRI B1+ map at 1.5T. The proposed method is robust in approximating complex shapes in medical images through curve fitting and therefore could provide sufficiently accurate approximation of the high resolution B1+ map through the low resolution raw data. This will prove to be useful in the fast real time estimation of local specific absorption rate without compromising the accuracy of SAR calculation. It is found that the Spline interpolation method helps in the reduction of MRI scan time and fast estimation of the SAR.
U2 - 10.1109/IMWS-BIO.2014.7032447
DO - 10.1109/IMWS-BIO.2014.7032447
M3 - Conference contribution/Paper
SN - 9781479954452
SP - 261
EP - 266
BT - RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on
PB - IEEE
T2 - IEEE MTT-S IMWS-Bio 2014
Y2 - 8 December 2014 through 10 December 2014
ER -