Microwave radar imaging of heterogeneous breast tissue integrating a priori information.
Microwave radar imaging of heterogeneous breast tissue integrating a priori information.
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DOI：
10.1155/2014/943549
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发表时间：
2014
影响因子：
7.6
通讯作者：
Craddock IJ
中科院分区：
文献类型：
--
作者：
Moll J;Kelly TN;Byrne D;Sarafianou M;Krozer V;Craddock IJ
传统的基于雷达的图像重建技术失败时，他们被应用到异质乳腺组织，因为潜在的乳房内的相对介电常数是未知的或假定为常数。这导致在图像形成过程期间的系统误差。微波生物医学成像的一个新的发展趋势是从被测物体中提取相对介电常数，以提高图像重建质量，从而增强诊断评估。 在本文中，我们提出了一种新的基于雷达的方法，在异质性乳腺组织的微波乳腺癌检测集成的相对介电常数作为先验信息的三维地图。这导致了一种新的图像重建公式的延迟和总和聚焦发生在时间域，而不是范围域。结果显示为一个异质致密（4类）和分散的纤维腺体（2类）数值乳房体模使用布里斯托的31个元素的阵列配置。
Conventional radar-based image reconstruction techniques fail when they are applied to heterogeneous breast tissue, since the underlying in-breast relative permittivity is unknown or assumed to be constant. This results in a systematic error during the process of image formation. A recent trend in microwave biomedical imaging is to extract the relative permittivity from the object under test to improve the image reconstruction quality and thereby to enhance the diagnostic assessment. In this paper, we present a novel radar-based methodology for microwave breast cancer detection in heterogeneous breast tissue integrating a 3D map of relative permittivity as a priori information. This leads to a novel image reconstruction formulation where the delay-and-sum focusing takes place in time rather than range domain. Results are shown for a heterogeneous dense (class-4) and a scattered fibroglandular (class-2) numerical breast phantom using Bristol's 31-element array configuration.