On-Site Validation of a Microwave Breast Imaging System, before First Patient Study.
On-Site Validation of a Microwave Breast Imaging System, before First Patient Study.
复制标题
DOI：
10.3390/diagnostics8030053
复制
发表时间：
2018-08-18
期刊：
影响因子：
--
通讯作者：
Bernard JG
中科院分区：
文献类型：
--
作者：
Fasoula A;Duchesne L;Gil Cano JD;Lawrence P;Robin G;Bernard JG
本文介绍了最近安装在爱尔兰的高威大学医院的Wavelia微波乳腺成像系统，用于首次人体试验性临床试验。在过去的二十年里，微波乳腺成像作为一种替代成像模式已经得到了广泛的研究，这种替代成像模式可能会为最先进的模式（如X射线乳腺摄影）带来补充信息。在概述了该技术的主要工作原理之后，介绍了Wavelia成像系统架构，以及用于形成微波图像的雷达信号处理算法，其中可以检测到小肿瘤以进行疾病诊断。本文还介绍了已开发的方法和具体的质量指标，以正确评估和验证成像系统的性能，使用复杂的乳房体模，在受控的测量条件下进行扫描。从应用这种方法的现场验证的成像系统安装后，在医院进行试点临床测试的指示性结果进行了彻底介绍和讨论。鉴于成像系统仍处于原型开发阶段，为了确保高质量的临床数据收集，在标称操作条件下进行严格的质量评估和系统验证非常重要。
This paper presents the Wavelia microwave breast imaging system that has been recently installed at the Galway University Hospital, Ireland, for a first-in-human pilot clinical test. Microwave breast imaging has been extensively investigated over the last two decades as an alternative imaging modality that could potentially bring complementary information to state-of-the-art modalities such as X-ray mammography. Following an overview of the main working principles of this technology, the Wavelia imaging system architecture is presented, as are the radar signal processing algorithms that are used in forming the microwave images in which small tumors could be detectable for disease diagnosis. The methodology and specific quality metrics that have been developed to properly evaluate and validate the performance of the imaging system using complex breast phantoms that are scanned at controlled measurement conditions are also presented in the paper. Indicative results from the application of this methodology to the on-site validation of the imaging system after its installation at the hospital for pilot clinical testing are thoroughly presented and discussed. Given that the imaging system is still at the prototype level of development, a rigorous quality assessment and system validation at nominal operating conditions is very important in order to ensure high-quality clinical data collection.
登录
查看更多内容
影响因子：
3.4
作者：
Eguizabal A;Laughney AM;García-Allende PB;Krishnaswamy V;Wells WA;Paulsen KD;Pogue BW;Lopez-Higuera JM;Conde OM
通讯作者：
Conde OM
影响因子：
4.6
作者：
Chen, Yifan;Gunawan, Erry;Putti, Thomas Choudary
通讯作者：
Putti, Thomas Choudary
影响因子：
7.8
作者：
Hyvärinen, A;Oja, E
通讯作者：
Oja, E
DOI：
10.1109/tmtt.2013.2255884
发表时间：
2013-05-01
影响因子：
4.3
作者：
Fear, E. C.;Bourqui, J.;Romano, C.
通讯作者：
Romano, C.
影响因子：
2.4
作者：
Gruber, FK;Marengo, EA;Devaney, AJ
通讯作者：
Devaney, AJ