Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies.

Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies.
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DOI:
10.3390/s21238048
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发表时间:
2021-12-01
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
O'Halloran M
O'Halloran M
中科院分区:
其他
文献类型:
--
作者:
O'Loughlin D;Elahi MA;Lavoie BR;Fear EC;O'Halloran M

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在过去的十年中,微波乳腺成像在临床研究中的应用越来越多,已有超过八个系统在患者身上进行了试验。大多数系统使用基于雷达的算法来重建向临床医生显示的图像,这需要估计乳房的介电特性以综合聚焦信号来重建图像。模拟和实验研究都表明,即使在简化的情况下,介电特性的错误估计也会损害图像质量和肿瘤检测。已经提出了许多方法来解决介电特性估计的问题,但很少用患者图像进行测试。在这项工作中,首次使用患者图像分析了一种基于微波乳腺成像许多候选图像计算的介电特性估计的领先方法。通过对健康乳房和异常乳房的五个临床案例研究,强调了计算型患者特异性微波乳房图像重建的优点和缺点。
Microwave breast imaging has seen increasing use in clinical investigations in the past decade with over eight systems having being trialled with patients. The majority of systems use radar-based algorithms to reconstruct the image shown to the clinician which requires an estimate of the dielectric properties of the breast to synthetically focus signals to reconstruct the image. Both simulated and experimental studies have shown that, even in simplified scenarios, misestimation of the dielectric properties can impair both the image quality and tumour detection. Many methods have been proposed to address the issue of the estimation of dielectric properties, but few have been tested with patient images. In this work, a leading approach for dielectric properties estimation based on the computation of many candidate images for microwave breast imaging is analysed with patient images for the first time. Using five clinical case studies of both healthy breasts and breasts with abnormalities, the advantages and disadvantages of computational patient-specific microwave breast image reconstruction are highlighted.
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