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A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR

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A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR. / Priyadarshi, Sanjay; Pitman, Sam; Glover, Paul; Shah, Simon; Ye, Jianqiao; Hu, Bobo; Letizia, Rosa.

RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on. IEEE, 2014. p. 261-266.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Priyadarshi, S, Pitman, S, Glover, P, Shah, S, Ye, J, Hu, B & Letizia, R 2014, A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR. in RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on. IEEE, pp. 261-266, IEEE MTT-S IMWS-Bio 2014, London, United Kingdom, 8/12/14. https://doi.org/10.1109/IMWS-BIO.2014.7032447

APA

Priyadarshi, S., Pitman, S., Glover, P., Shah, S., Ye, J., Hu, B., & Letizia, R. (2014). A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR. In RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on (pp. 261-266). IEEE. https://doi.org/10.1109/IMWS-BIO.2014.7032447

Vancouver

Priyadarshi S, Pitman S, Glover P, Shah S, Ye J, Hu B et al. A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR. In RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on. IEEE. 2014. p. 261-266 https://doi.org/10.1109/IMWS-BIO.2014.7032447

Author

Priyadarshi, Sanjay ; Pitman, Sam ; Glover, Paul ; Shah, Simon ; Ye, Jianqiao ; Hu, Bobo ; Letizia, Rosa. / A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR. RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on. IEEE, 2014. pp. 261-266

Bibtex

@inproceedings{09e7fccab6034915a68163eba62efabb,
title = "A fast interpolation approach for the calculation of permittivity and conductivity to estimate the SAR",
abstract = "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.",
author = "Sanjay Priyadarshi and Sam Pitman and Paul Glover and Simon Shah and Jianqiao Ye and Bobo Hu and Rosa Letizia",
year = "2014",
month = dec,
day = "8",
doi = "10.1109/IMWS-BIO.2014.7032447",
language = "English",
isbn = "9781479954452",
pages = "261--266",
booktitle = "RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on",
publisher = "IEEE",
note = "IEEE MTT-S IMWS-Bio 2014 ; Conference date: 08-12-2014 Through 10-12-2014",

}

RIS

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 -