Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney 2007, Australia.
IEEE Trans Biomed Eng. 2013 Jun;60(6):1528-37. doi: 10.1109/TBME.2013.2237908. Epub 2013 Jan 9.
This paper is concerned with parameter extraction for the double Debye model, which is used for analytically determining human skin permittivity. These parameters are thought to be the origin of contrast in terahertz (THz) images of skin cancer. The existing extraction methods could generate Debye models, which track their measurements accurately at frequencies higher than 1 THz but poorly at lower frequencies, where the majority of permittivity contrast between healthy and diseased skin tissues is actually observed. We propose a global optimization-based parameter extraction, which results in globally accurate tracking and thus supports the full validity of the Debye model for simulating human skin permittivity in the whole usable THz frequencies. Numerical results confirm viability of our novel methodology.
本文关注的是双德拜模型的参数提取，该模型用于分析确定人体皮肤的介电常数。这些参数被认为是太赫兹（THz）皮肤癌图像对比度的来源。现有的提取方法可以生成德拜模型，这些模型在高于 1 THz 的频率下能够准确跟踪其测量值，但在较低频率下表现不佳，而健康和患病皮肤组织之间的大部分介电常数对比度实际上正是在这些频率下观察到的。我们提出了一种基于全局优化的参数提取方法，该方法可以实现全局精确跟踪，从而支持德拜模型在整个可用 THz 频率范围内模拟人体皮肤介电常数的完全有效性。数值结果证实了我们新方法的可行性。
