Tissue phantom-based breast cancer detection using continuous near-infrared sensor

Abstract

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.

Imitation-tumor targeting based on continuous-wave near-infrared tomography

“…l=4, where l is the distance between the optical source and the sensor [11,12]. Therefore, it is feasible to detect the optical intensity at different depths of target tissues by adjusting the distance between the LED optical sources and optical intensity sensors.…”