Correlation between the temperature dependence of intrinsic MR parameters and thermal dose measured by a rapid chemical shift imaging technique.
Correlation between the temperature dependence of intrinsic MR parameters and thermal dose measured by a rapid chemical shift imaging technique.
复制标题
固有 MR 参数的温度依赖性与快速化学位移成像技术测量的热剂量之间的相关性。
DOI:
10.1002/nbm.1707
复制
发表时间:
2011
影响因子:
2.9
通讯作者:
Stafford,RJ
中科院分区:
文献类型:
--
作者:
Taylor,BA;Elliott,AM;Hwang,KP;Hazle,JD;Stafford,RJ
In order to investigate simultaneous MR temperature imaging and direct validation of tissue damage during thermal therapy, temperature‐dependent signal changes in proton resonance frequency (PRF) shifts, R2* values, and T1‐weighted amplitudes are measured from one technique inex vivotissue. Using a multigradient echo acquisition and the Stieglitz‐McBride algorithm, the temperature sensitivity coefficients of these parameters are measured in each tissue at high spatiotemporal resolutions (1.6x1.6x4mm3, ≤ 5sec) at the range of 25‐61 °C. Non‐linear changes in MR parameters are examined and correlated with an Arrhenius rate dose model of thermal damage. Using logistic regression, the probability of changes in these parameters is calculated as a function of thermal dose to determine if changes correspond to thermal damage. Temperature sensitivity of R2* and, in some cases, T1‐weighted amplitudes are statistically different before and after thermal damage occurred. Significant changes in the slopes of R2* as a function of temperature are observed. Logistic regression analysis shows that these changes could be accurately predicted using the Arrhenius rate dose model (Ω = 1.01 ± 0.03), thereby showing that the changes in R2* could be direct markers of protein denaturation. Overall, by using a chemical shift imaging technique with simultaneous temperature estimation, R2* mapping and T1‐W imaging, it is shown that changes in the sensitivity of R2* and, to a lesser degree, T1‐W amplitudes are measured inex vivotissue when thermal damage is expected to occur. These changes could possibly be used for direct validation of thermal damage in contrast to model‐based predictions. Copyright © 2011 John Wiley & Sons, Ltd.