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高精度和时间分辨率的MR温度计通过二次相MR指纹采集

Sarah J Garrow¹, Kristen Zarcone¹, Kathryn E Keenan²

¹Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

Magnetic resonance in medicine

|April 28, 2025

概括

这项研究引入了二次射频激发相位磁共振指纹 (qRF-MRF) 以精确,高率的温度映射. 与传统技术相比,新方法显著提高了温度测量精度.

科学领域:

磁共振成像 (MRI) 是一种磁共振成像技术.
生物医学工程生物医学工程
热光谱学是一种热光谱学.

背景情况:

准确的温度映射对于各种医疗应用至关重要,包括热消融和监测高温治疗.
使用质子共振频率 (PRF) 转移的传统梯度召唤回声 (GRE) 温度计提供了一种非侵入性方法,但往往缺乏足够的精度和速度.
磁共振指纹 (MRF) 为快速和准确的参数映射提供了一个框架,显示了改善温度计的潜力.

研究的目的:

开发和验证使用二次射频激发相位磁共振指纹 (qRF-MRF) 的高率,高精度温度映射技术.
通过将其与传统的2D快速GRE (2DFT GRE) 温度计进行比较,评估qRF-MRF在温度成像中的性能.
评估qRF-MRF在聚焦超声波 (FUS) 加热过程中捕获动态温度变化的能力.

主要方法:

实现了一个连续平衡的qRF-MRF序列,具有低翻转角度激发和二次射频相调节,以提高对温度变化引起的PRF变化的灵敏度.
使用滑动窗口分析与合梯度 (CG) 算法,字典匹配和MRF合成的GRE图像重建温度图.
通过蒙特卡罗模拟,幻影成像和在3特斯拉的体内实验来评估性能,将qRF-MRF与时间匹配的2DFT GRE进行比较.

主要成果:

优化的qRF-MRF显示了温度标准偏差的显著降低:与2DFT GRE相比,幻影模拟有85%,幻影成像有71%和体内有55%.
与网格方法相比,CG MRF重建改善了字典匹配,并将温度标准偏差降低了30%.
qRF-MRF在聚焦超声波实验中准确地捕获了动态加热模式和温度曲线,也使线宽地图重建成为可能.

结论:

连续低翻转角度的qRF-MRF提供了基于PRF转移的温度成像的精确和高率方法.
与传统的GRE温度计相比,qRF-MRF提供了更高的精度,同时保持了可比的率.
这种先进的MRF技术有望改善临床和研究环境中的非侵入性温度监测.

关键词:

聚焦式超声波的使用这是干预性MRI.磁共振指纹的使用质子共振频率转移的变化温度成像仪使用温度成像仪.测温仪测温仪使用方法

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