Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations
Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations
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DOI：
10.1016/j.compmedimag.2017.02.003
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发表时间：
2017-06-01
影响因子：
5.7
通讯作者：
O'Halloran, M.
中科院分区：
文献类型：
--
作者：
Elahi, M. A.;Curtis, C.;O'Halloran, M.
微波成像是一种用于检测早期乳腺癌的有前景的成像方式。基于微波雷达的乳腺成像最重要的信号处理组件之一是早期伪影去除。文献中已经报道了几种伪影去除算法。然而，基于邻域的皮肤减除和混合伪影去除算法在不同的真实 3D 乳房模型中显示出了特别有希望的结果。本文首次使用最常见的微波乳腺成像原型系统的扫描方法对两种算法进行了评估和比较。测试包括 3D 数值以及使用半球形、圆柱形和自适应扫描模式扫描的实验性乳房模型。两种算法的功效已经通过一系列适当的性能指标进行了评估。 (C) 2017 Elsevier Ltd. 保留所有权利。
Microwave imaging is a promising imaging modality for the detection of early-stage breast cancer. One of the most important signal processing components of microwave radar-based breast imaging is early stage artifact removal. Several artifact removal algorithms have been reported in the literature. However, the neighbourhood-based skin subtraction and hybrid artifact removal algorithms have shown particularly promising results in different realistic 3D breast phantoms. For the first time in this paper, both algorithms have been evaluated and compared using the scan approaches of the most common microwave breast imaging prototype systems. The tests include 3D numerical as well as experimental breast phantoms scanned with hemispherical, cylindrical and adaptive scanning patterns. The efficacy of both algorithms has been evaluated across a range of appropriate performance metrics. (C) 2017 Elsevier Ltd. All rights reserved.