Flores-Tapia Daniel, Thomas Gabriel, Pistorius Stephen
Department of Medical Physics, CancerCare Manitoba, Winnipeg, Manitoba, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5725-8. doi: 10.1109/IEMBS.2009.5333128.
Breast cancer is the leading cause of cancer related deaths in women between the ages of 15 and 54, and the second cause of cancer death in women the 55 to 74 age range. In recent years, Breast Microwave Imaging (BMI) has shown its potential as a promising breast cancer detection technique. This imaging technology is based on the electrical characteristic differences that exist between normal and malignant breast tissues at the microwave frequency range. A novel reconstruction approach for the formation of 2D BMI models is proposed in this paper. This technique uses the phase differences introduced during the collection of target responses in order to determine the correct spatial location of the different structures that constitute the final image. The proposed method yielded promising results when applied to simulated data sets obtained from Magnetic Resonance Images (MRI).
乳腺癌是15至54岁女性癌症相关死亡的主要原因，也是55至74岁女性癌症死亡的第二大原因。近年来，乳腺微波成像（BMI）已显示出其作为一种有前景的乳腺癌检测技术的潜力。这种成像技术基于微波频率范围内正常乳腺组织和恶性乳腺组织之间存在的电学特性差异。本文提出了一种用于生成二维BMI模型的新型重建方法。该技术利用在收集目标响应过程中引入的相位差来确定构成最终图像的不同结构的正确空间位置。当将该方法应用于从磁共振图像（MRI）获得的模拟数据集时，取得了有前景的结果。
