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用于早期乳腺癌检测的非数据依赖型微波波束形成算法比较

A comparison of data-independent microwave beamforming algorithms for the early detection of breast cancer.

作者信息

Byrne Dallan, O'Halloran Martin, Jones Edward, Glavin Martin

机构信息

Bioelectronics Research Cluster, NCBES, National University of Ireland, Galway, Ireland.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2731-4. doi: 10.1109/IEMBS.2009.5333344.

Abstract

Ultrawideband (UWB) radar is one of the most promising alternatives to X-ray mammography as an imaging modality for the early detection of breast cancer. Several beamforming algorithms have been developed which exploit the dielectric contrast between normal and cancerous tissue at microwave frequencies in order to detect tumors. Dielectric heterogeneity within the breast greatly effects the ability of a beamformer to detect very small tumors, therefore the design of an effective beamformer for this application represents a significant challenge. This paper analyzes and compares 3 data-independent beamforming algorithms, testing each system on an anatomically correct, MRI derived breast model which incorporates recently-published data on dielectric properties.

摘要

超宽带(UWB)雷达作为一种用于早期乳腺癌检测的成像方式,是最具前景的替代X线乳房造影术的技术之一。人们已经开发了几种波束形成算法,这些算法利用微波频率下正常组织和癌组织之间的介电对比度来检测肿瘤。乳房内部的介电不均匀性极大地影响了波束形成器检测非常小的肿瘤的能力,因此,为该应用设计有效的波束形成器是一项重大挑战。本文分析并比较了三种与数据无关的波束形成算法,并在一个解剖结构正确、由MRI导出的乳房模型上对每个系统进行测试,该模型纳入了最近发表的介电特性数据。

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