Liu Dan, Liu Xin, Zhang Yan, Wang Qisong, Lu Jingyang
a Harbin Institute of Technology, School of Electrical Engineering & Automation , Harbin , China.
b Virginia Commonwealth University , Department of Electrical and Computer Engineering , Richmond , Virginia , USA.
Bioengineered. 2016 Sep 2;7(5):321-326. doi: 10.1080/21655979.2016.1197747. Epub 2016 Jul 26.
Women's health is seriously threatened by breast cancer. Taking advantage of efficient diagnostic instruments to identify the disease is very meaningful in prolonging life. As a cheap noninvasive radiation-free technology, Near-infrared Spectroscopy is suitable for general breast cancer examination. A discrimination method of breast cancer is presented using the deference between absorption coefficients and applied to construct a blood oxygen detection device based on Modified Lambert-Beer theory. Combined with multi-wavelength multi-path near-infrared sensing technology, the proposed method can quantitatively distinguish the normal breast from the abnormal one by measuring the absorption coefficients of breast tissue and the blood oxygen saturation. An objective judgment about the breast tumor is made according to its high absorption of near-infrared light. The phantom experiment is implemented to show the presented method is able to recognize the absorption differences between phantoms and demonstrates its feasibility in the breast tumor detection.
乳腺癌严重威胁着女性健康。利用高效的诊断仪器来识别这种疾病对于延长生命非常有意义。近红外光谱作为一种廉价、无创且无辐射的技术，适用于一般的乳腺癌检查。提出了一种利用吸收系数差异的乳腺癌判别方法，并应用该方法基于修正的朗伯 - 比尔理论构建了一种血氧检测装置。结合多波长多路径近红外传感技术，该方法可以通过测量乳腺组织的吸收系数和血氧饱和度来定量区分正常乳腺和异常乳腺。根据乳腺肿瘤对近红外光的高吸收做出关于乳腺肿瘤的客观判断。进行了体模实验，结果表明所提出的方法能够识别体模之间的吸收差异，并证明了其在乳腺肿瘤检测中的可行性。
