Huang Sheng-Wen, Li Pai-Chi
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
IEEE Trans Ultrason Ferroelectr Freq Control. 2005 Nov;52(11):2011-22. doi: 10.1109/tuffc.2005.1561670.
The attenuation coefficient distribution and sound velocity distribution in the breast can be used to complement B-mode ultrasound imaging in the detection of breast cancer. This study investigated an approach for reconstructing the attenuation coefficient distribution in the breast using a linear array. The imaging setup was identical to that for conventional B-mode breast imaging, and the same setup has been used for reconstruction of sound velocity distributions in previous studies. In this study, we further developed a reconstruction method for the attenuation coefficient distribution. In particular, the proposed method incorporates the segmentation information from B-mode images and uses the sound velocity distribution to compensate for refraction effects. Experiments were conducted with a setup consisting of a 5-MHz, 128-channel linear array, a programmable digital array system, a phantom, and a computer. The constructed phantom contained materials mimicking the following breast tissues: glandular tissue, fat, cysts, high-attenuation tumors, and irregular tumors. Application of the proposed technique resulted in all the cysts and tumors (including high-attenuation and irregular tumors) being distinguished by thresholding the reconstructed attenuation coefficients. We have demonstrated that it is possible to use the same imaging setup to acquire data for B-mode image, sound velocity distribution, and attenuation coefficient distribution simultaneously. Moreover, the experimental data indicate its potential in improving the detection of breast cancer.
乳房中的衰减系数分布和声速分布可用于辅助B型超声成像检测乳腺癌。本研究探讨了一种使用线性阵列重建乳房衰减系数分布的方法。成像设置与传统B型乳房成像相同,并且在先前的研究中已使用相同的设置来重建声速分布。在本研究中,我们进一步开发了一种用于衰减系数分布的重建方法。特别地,所提出的方法结合了来自B型图像的分割信息,并使用声速分布来补偿折射效应。实验使用由一个5MHz、128通道线性阵列、一个可编程数字阵列系统、一个体模和一台计算机组成的设置进行。构建的体模包含模拟以下乳房组织的材料:腺组织、脂肪、囊肿、高衰减肿瘤和不规则肿瘤。应用所提出的技术通过对重建的衰减系数进行阈值处理,使得所有囊肿和肿瘤(包括高衰减和不规则肿瘤)都能被区分出来。我们已经证明,可以使用相同的成像设置同时获取用于B型图像、声速分布和衰减系数分布的数据。此外,实验数据表明了其在改善乳腺癌检测方面的潜力。