Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
IEEE Trans Biomed Eng. 2013 Feb;60(2):354-60. doi: 10.1109/TBME.2012.2220768. Epub 2012 Nov 10.
Microwave radar and microwave-induced thermoacoustics, recently proposed as promising breast cancer detection techniques, each have shortcomings that reduce detection performance. Making the assumption that the measurement noises experienced when applying these two techniques are independent, we propose a methodology to process the input signals jointly based on a hypothesis testing framework. We present two test statistics and derive their distributions to set the thresholds. The methodology is evaluated on numerically simulated signals acquired from 2-D numerical breast models using finite-difference time-domain method. Our results show that the proposed dual-modality approach can give a significant improvement in detection performance.
微波雷达和微波热声技术，最近被提议作为有前途的乳腺癌检测技术，各自都存在降低检测性能的缺点。假设在应用这两种技术时所经历的测量噪声是独立的，我们基于假设检验框架提出了一种联合处理输入信号的方法。我们提出了两种检验统计量，并推导出它们的分布以设置门限。该方法在使用时域有限差分方法从二维数值乳房模型获得的数值模拟信号上进行了评估。我们的结果表明，所提出的双模方法可以显著提高检测性能。
