Breast Cancer Diagnosis by Optical Imaging with Inverse Problem of Source Estimation

研究了乳腺癌近红外光光学成像中逆问题的求解算法。提出了利用空间滤光片重建生物介质中荧光光源的技术。提出了利用最大先验估计对时间分辨测量数据进行降噪处理的方法。通过数值模拟和人体模型实验对所提出的方法进行了验证。对漫反射光学层析成像的光源和探测器的有效布置也进行了研究。

The algorithms to solve the inverse problems in the optical imaging using near-infrared light for diagnoses of breast cancer were studied. The technique for reconstructing fluorescent light sources in biological media by use of spatial filter was proposed. The method to reduce noise in the time-resolved measurement data using maximum a priori estimation was also developed. The proposed methods were validated with the numerical simulations and the phantom experiments. Efficient arrangement of the light sources and detectors for diffuse optical tomography was also investigated.