Munich School of Bioengineering, Technical University of Munich, Boltzmannstr. 11, 85748, Garching bei München, Germany.
Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
MAGMA. 2019 Jun;32(3):369-380. doi: 10.1007/s10334-018-0725-5. Epub 2018 Dec 4.
Mild hyperthermia (HT) treatments are generally monitored by phase-referenced proton resonance frequency shift calculations. A novel phase and thus temperature-sensitive fast spin echo (TFSE) sequence is introduced and compared to the double echo gradient echo (DEGRE) sequence.
For a proton resonance frequency shift (PRFS)-sensitive TFSE sequence, a phase cycling method is applied to separate even from odd echoes. This method compensates for conductivity change-induced bias in temperature mapping as does the DEGRE sequence. Both sequences were alternately applied during a phantom heating experiment using the clinical setup for deep radio frequency HT (RF-HT). The B drift-corrected temperature values in a region of interest around temperature probes are compared to the temperature probe data and further evaluated in Bland-Altman plots. The stability of both methods was also tested within the thighs of three volunteers at a constant temperature using the subcutaneous fat layer for B-drift correction.
During the phantom heating experiment, on average TFSE temperature maps achieved double temperature-to-noise ratio (TNR) efficiency in comparison with DEGRE temperature maps. In-vivo images of the thighs exhibit stable temperature readings of ± 1 °C over 25 min of scanning in three volunteers for both methods. On average, the TNR efficiency improved by around 25% for in vivo data.
A novel TFSE method has been adapted to monitor temperature during mild HT.
轻度热疗 (HT) 治疗通常通过相参考质子共振频率偏移计算进行监测。引入了一种新的相位且因此对温度敏感的快速自旋回波 (TFSE) 序列,并将其与双回波梯度回波 (DEGRE) 序列进行比较。
对于质子共振频率偏移 (PRFS) 敏感的 TFSE 序列,应用相位循环方法将偶数回波与奇数回波分开。该方法与 DEGRE 序列一样补偿了由于电导率变化引起的温度映射中的偏差。在使用临床设置进行深部射频 HT (RF-HT) 的体模加热实验中,交替应用这两种序列。将感兴趣区域内校正 B 漂移后的温度值与温度探头数据进行比较,并进一步在 Bland-Altman 图中进行评估。还在三个志愿者的大腿内使用皮下脂肪层进行 B 漂移校正,在恒定温度下对这两种方法的稳定性进行了测试。
在体模加热实验中,与 DEGRE 温度图相比,TFSE 温度图平均实现了两倍的温度噪声比 (TNR) 效率。在三个志愿者的大腿的体内图像中,两种方法在 25 分钟的扫描过程中均能稳定地读取±1°C 的温度读数。平均而言,体内数据的 TNR 效率提高了约 25%。
已经适应了一种新的 TFSE 方法来监测轻度 HT 期间的温度。