Ultrasound temperature estimation based on probability variation of backscatter data

Medical Physics
Po-Hsiang TsuiYu-Ting Chien

Abstract

In recent years, ultrasound imaging has become an attractive modality for noninvasive temperature monitoring. Temperature variations that occur during tissue heating could induce changes in various acoustic parameters that may affect the echo interference so as to make ultrasound backscattering a random process. In this study, we assumed that the degree of variation in the probability distribution of the backscattered signals is temperature dependent. The feasibility of using the variation in the backscatter statistics for ultrasound temperature estimation was investigated in this study. We tested this hypothesis by carrying out experiments on agar phantoms and tissue samples using a temperature-regulated water tank and a microwave ablation system. During heating, raw images of the backscattered-signal envelope of each phantom and tissue at temperatures ranging between 37 °C and 45 °C were acquired to construct the parametric matrix based on the ratio of the change in the Nakagami parameter (RCN), which was used as a quantitative measure of the backscatter statistics. The absolute value of the RCN (ARCN) matrix was obtained, to which a polynomial approximation was applied to obtain the ARCN(pa) image. The results showed that th...Continue Reading

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Citations

Jul 5, 2013·Medical Physics·Chiao-Yin WangPo-Hsiang Tsui
Nov 22, 2013·Computational and Mathematical Methods in Medicine·Jingjing XiaPo-Hsiang Tsui
Nov 9, 2015·Ultrasound in Medicine & Biology·Yi-Sing Hsiao, Cheri X Deng
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Feb 7, 2018·International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group·Siyuan ZhangMingxi Wan
Dec 24, 2019·Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine·Daniel Dahis, Haim Azhari
Mar 2, 2013·Journal of Biophotonics·Yun-Sheng ChenStanislav Emelianov

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