Effect of lesion morphology on microwave signature in 2-D ultra-wideband breast imaging
Effect of lesion morphology on microwave signature in 2-D ultra-wideband breast imaging
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DOI：
10.1109/tbme.2008.921136
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发表时间：
2008-08-01
影响因子：
4.6
通讯作者：
Putti, Thomas Choudary
中科院分区：
文献类型：
--
作者：
Chen, Yifan;Gunawan, Erry;Putti, Thomas Choudary
本文研究了利用超宽带乳腺癌检测中微波背向散射响应的形态学相关的时间和光谱特性来区分良性和恶性肿块的可能性。毛刺边界轮廓的2-D乳腺肿块的基础上修改其周边的不规则性的基线椭圆环产生。此外，单和多层病变模型被用来表征一个明显的质量区域，然后急剧过渡到背景，和一个模糊的质量边界表现出逐渐过渡到背景，分别。随后，复杂的自然共振（CNR）的后向散射微波签名可以从后期的目标响应，并揭示诊断有用的信息。分数序列CLEAN算法被提出来估计病变的延迟间隔和识别后期响应。最后，它是通过数值例子，占主导地位的CNRs的位置是依赖于病变的形态，其中2-D计算乳房幻影与单个和多个病变进行了研究。分析是潜在的良性和恶性病变之间的歧视，前者通常拥有一个更好的定义，更紧凑的形状，而不是后者的使用。
This paper studies the possibility of distinguishing between benign and malignant masses by exploiting the morphology-dependent temporal and spectral characteristics of their microwave backscatter response in ultra-wideband breast cancer detection. The spiculated border profiles of 2-D breast masses are generated by modifying the baseline elliptical rings based upon the irregularity of their peripheries. Furthermore, the single- and multilayer lesion models are used to characterize a distinct mass region followed by a sharp transition to background, and a blurred mass border exhibiting a gradual transition to background, respectively. Subsequently, the complex natural resonances (CNRs) of the backscatter microwave signature can be derived from the late-time target response and reveal diagnostically useful information. The fractional sequence CLEAN algorithm is proposed to estimate the lesions' delay intervals and identify the late-time responses. Finally, it is shown through numerical examples that the locations of dominant CNRs are dependent on the lesion morphologies, where 2-D computational breast phantoms with single and multiple lesions are investigated. The analysis is of potential use for discrimination between benign and malignant lesions, where the former usually possesses a better-defined, more compact shape as opposed to the latter.