乳腺肿瘤的非侵入性微波表征建模。
Modeling of noninvasive microwave characterization of breast tumors.
作者信息
Huo Y, Bansal Rajeev, Zhu Q
机构信息
Electrical and Computer Engineering Department, University of Connecticut, Storrs, CT 06269, USA.
出版信息
IEEE Trans Biomed Eng. 2004 Jul;51(7):1089-94. doi: 10.1109/TBME.2004.827956.
This paper describes an approach for the noninvasive microwave characterization of tumors in breast tissue. Tumors are modeled as lossy dielectric targets. Their complex natural resonances (CNR) can be extracted from the time-domain response and correlated with diagnostically useful properties. Finite-difference time-domain simulation is used to obtain the time-domain response from a tumor with a short electromagnetic pulse as an input. The normal breast tissue and tumor are modeled as dispersive media using the Debye model and CNRs are extracted using Prony's method. It is shown that the locations of the dominant CNRs are separated in the complex frequency plane as functions of the tumor dielectric properties. The technique has potential as a diagnostic tool to characterize breast lesions in conjunction with other imaging modalities such as ultrasound for detection.
本文描述了一种用于乳腺组织中肿瘤非侵入性微波表征的方法。肿瘤被建模为有损耗的介电目标。它们的复自然共振(CNR)可以从时域响应中提取出来,并与具有诊断价值的特性相关联。使用有限差分时域模拟,以短电磁脉冲作为输入来获得肿瘤的时域响应。正常乳腺组织和肿瘤使用德拜模型被建模为色散介质,并使用 Prony 方法提取 CNR。结果表明,主导 CNR 的位置在复频平面中作为肿瘤介电特性的函数而分开。该技术有潜力作为一种诊断工具,与超声等其他成像模态结合用于乳腺病变的表征检测。