Metrics for Assessing the Similarity of Microwave Breast Imaging Scans of Healthy Volunteers
Metrics for Assessing the Similarity of Microwave Breast Imaging Scans of Healthy Volunteers
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DOI：
10.1109/tmi.2018.2806878
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发表时间：
2018-08-01
影响因子：
10.6
通讯作者：
Okoniewski, Michal
中科院分区：
文献类型：
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作者：
Lavoie, Benjamin R.;Bourqui, Jeremie;Okoniewski, Michal
微波雷达成像作为一种互补的医学成像方式是有前途的。然而，图像的独特性质意味着解释可能很困难。因此，重要的是要了解图像差异的来源，以及成像系统本身固有的可变性有多大。为了解决这个问题，我们比较了六种不同的图像相似性度量的有效性，用于量化两个微波雷达图像之间的相似性（或差异）。结构相似性指数已成为事实上的标准，图像比较，但我们建议，可以从一个被称为修改的Hausdorff距离的措施，获得有用的信息。我们应用每一个措施，从幻影和志愿者的顺序扫描图像对。我们发现，而不是使用一个单一的值来量化图像的相似性，通过计算的一些值，旨在捕捉不同的图像方面，我们可以更好地评估的方式，其中的图像不同。
Microwave radar imaging is promising as a complementary medical imaging modality. However, the unique nature of the images means interpretation can be difficult. As a result, it is important to understand the sources of image differences, and how much variability is inherent in the imaging system itself. To address this issue, we compare the effectiveness of six different measures of image similarity for quantifying the similarity (or difference) between two microwave radar images. The structural similarity index has become the de facto standard for image comparison, but we propose that useful information can be acquired from a measure known as the Modified Hausdorff Distance. We apply each measure to image pairs from sequential scans of both phantoms and volunteers. We find that rather than using a single value to quantify the image similarity, by computing a number of values that are designed to capture different image aspects, we can better assess the ways in which the images differ.