Jacobsen S, Stauffer P
Electrical Engineering Group, Institute of Physics, Faculty of Science, University of Tromsø, Norway.
Int J Hyperthermia. 2002 Mar-Apr;18(2):86-103. doi: 10.1080/02656730110092341.
Microwave radiometry has during the past two decades been investigated as a non-invasive scheme for measurement of subcutaneous tissue temperatures, basically for monitoring and control in hyperthermic treatment of cancer. In this effort, we test a contact-type, dual-purpose antenna with integral water bolus. To overcome conflicting optimization criteria in the integration of this thermometry technique with heat applicators exhibiting a large effective field size during superficial hyperthermia, a stacked configuration design is proposed, where the radiometer receive antenna (Archimedean spiral) is located on the front (skin) surface of the water bolus and the heating antenna (Dual-Concentric Conductor aperture) is placed on the bolus back surface. The motivation is to achieve homogeneous tissue heating simultaneously with non-invasive thermography of the target tissue under the applicator. This paper addresses the feasibility of predicting one-dimensional depth temperature profiles from multi-band brightness temperatures. The performance is investigated statistically by a Monte Carlo technique on both simulated and real heated-phantom data using up to six radiometric bands. Analysis of measured data shows that during the transient heating period in a solid lossy phantom, the inversion technique exhibits a precision (2sigmaT) and skewness (bias) of estimated compared to actual temperature profiles of better than +/-0.38 degrees C and +/-0.55 degrees C, respectively.
在过去二十年中,微波辐射测量法一直作为一种测量皮下组织温度的非侵入性方法进行研究,主要用于癌症热疗的监测和控制。在此项工作中,我们测试了一种带有一体式水囊的接触式两用天线。为了克服在将这种测温技术与在浅表热疗期间具有大有效场尺寸的热 applicator 集成时相互冲突的优化标准,提出了一种堆叠配置设计,其中辐射计接收天线(阿基米德螺旋)位于水囊的前(皮肤)表面,加热天线(双同心导体孔径)放置在水囊后表面。其动机是在对 applicator 下方的目标组织进行非侵入式热成像的同时实现均匀的组织加热。本文探讨了从多波段亮度温度预测一维深度温度分布的可行性。使用多达六个辐射测量波段,通过蒙特卡罗技术对模拟和实际加热体模数据进行统计研究性能。对测量数据的分析表明,在固体有损体模的瞬态加热期间,与实际温度分布相比,反演技术在估计温度时的精度(2σT)和偏度(偏差)分别优于±0.38℃和±0.55℃。