Department of Radiology, Duke University Medical Center, Box 3808, Durham, NC 27710, USA.
MAGMA. 2012 Feb;25(1):49-61. doi: 10.1007/s10334-011-0247-x. Epub 2011 Mar 27.
The aim of this paper is to characterize the noise propagation for MRI temperature change measurement with emphasis on finding the best echo time combinations that yield the lowest temperature noise.
A Cramer-Rao lower-bound (CRLB) calculation was used to estimate the temperature noise for a model of the MR signal in fat-water voxels. The temperature noise CRLB was then used to find a set of echo times that gave the lowest temperature change noise for a range of fat-water frequency differences, temperature changes, fat/water signal ratios, and T2* values. CRLB estimates were verified by Monte Carlo simulation and in phantoms using images acquired in a 1.5 T magnet.
Results show that regions exist where the CRLB predicts minimal temperature variation as a function of the other variables. The results also indicate that the CRLB values calculated in this paper provide excellent guidance for predicting the variation of temperature measurements due to changes in the signal parameters. For three echo scans, the best noise characteristics are seen for TE values of 20.71, 23.71, and 26.71 ms. Results for five and seven echo scans are also presented in the text.
The results present a comprehensive analysis of the effects of different scan parameters on temperature noise, potentially benefiting the selection of scan parameters for clinical MRI thermometry.
本文旨在研究 MRI 温度变化测量中的噪声传播特性,重点寻找能产生最低温度噪声的最佳回波时间组合。
使用克拉美-罗下界(CRLB)计算来估计脂肪-水体素中磁共振信号模型的温度噪声。然后,使用温度噪声 CRLB 来寻找一组回波时间,以在一系列脂肪-水频率差、温度变化、脂肪/水信号比和 T2* 值下获得最低的温度变化噪声。通过蒙特卡罗模拟和在 1.5 T 磁体中使用采集的图像在体模中验证了 CRLB 估计。
结果表明,存在一些区域,CRLB 预测这些区域的温度变化最小,这取决于其他变量。结果还表明,本文中计算的 CRLB 值为预测由于信号参数变化导致的温度测量变化提供了出色的指导。对于三个回波扫描,TE 值为 20.71、23.71 和 26.71 ms 时可获得最佳噪声特性。文中还呈现了五个和七个回波扫描的结果。
该结果对不同扫描参数对温度噪声的影响进行了全面分析,可能有助于为临床 MRI 测温选择扫描参数。