Evaluation of Image Reconstruction Algorithms for Confocal Microwave Imaging: Application to Patient Data.
Evaluation of Image Reconstruction Algorithms for Confocal Microwave Imaging: Application to Patient Data.
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DOI：
10.3390/s18061678
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发表时间：
2018-05-23
期刊：
影响因子：
--
通讯作者：
O'Halloran M
中科院分区：
文献类型：
--
作者：
Elahi MA;O'Loughlin D;Lavoie BR;Glavin M;Jones E;Fear EC;O'Halloran M
用于乳腺癌早期检测的共焦微波成像（CMI）已经开发了二十多年，目前正在进行早期临床评估。图像重建算法是任何基于CMI的乳腺成像系统的关键信号处理组件，并影响CMI检测乳腺癌的功效。自其成立以来，已经开发了几种用于CMI的图像重建算法。这些图像重建算法已被评估和比较，使用数值和物理乳房模型，和健康志愿者的数据。然而，尚未进行研究来评价使用临床患者数据的图像重建算法的性能。在这项研究中，使用从卡尔加里大学进行的小规模患者研究中获得的数据评估了各种成像算法，包括数据独立和数据自适应算法。应用六种成像算法对五名临床患者进行三维图像重建。在异常检测和定位方面，将每种算法和每名患者的重建图像与可用的临床报告进行比较。使用适当的质量指标评价每种算法的成像质量。传统延迟求和算法和延迟相乘求和（DMAS）算法的结果与临床信息一致，与所有其他算法相比，DMAS产生更好的图像质量。
Confocal Microwave Imaging (CMI) for the early detection of breast cancer has been under development for over two decades and is currently going through early-phase clinical evaluation. The image reconstruction algorithm is a key signal processing component of any CMI-based breast imaging system and impacts the efficacy of CMI in detecting breast cancer. Several image reconstruction algorithms for CMI have been developed since its inception. These image reconstruction algorithms have been previously evaluated and compared, using both numerical and physical breast models, and healthy volunteer data. However, no study has been performed to evaluate the performance of image reconstruction algorithms using clinical patient data. In this study, a variety of imaging algorithms, including both data-independent and data-adaptive algorithms, were evaluated using data obtained from a small-scale patient study conducted at the University of Calgary. Six imaging algorithms were applied to reconstruct 3D images of five clinical patients. Reconstructed images for each algorithm and each patient were compared to the available clinical reports, in terms of abnormality detection and localisation. The imaging quality of each algorithm was evaluated using appropriate quality metrics. The results of the conventional Delay-and-Sum algorithm and the Delay-Multiply-and-Sum (DMAS) algorithm were found to be consistent with the clinical information, with DMAS producing better quality images compared to all other algorithms.
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影响因子：
4.6
作者：
Hagness, SC;Taflove, A;Bridges, JE
通讯作者：
Bridges, JE
DOI：
10.1109/tmtt.2013.2255884
发表时间：
2013-05-01
影响因子：
4.3
作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
5.1
作者：
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通讯作者：
Coates, Mark
影响因子：
5.7
作者：
Bond, EJ;Li, X;Van Veen, BD
通讯作者：
Van Veen, BD