Abstract
Breast cancer being one of the most frequent form of cancer, is the leading cause of cancer deaths in women worldwide. Early detection can greatly improve a womans chances for survival. In this paper we introduce an economic and accurate optical system for breast cancer detection. We have investigated the optical properties of human breast tissues using the He:Ne laser and optical spectroscopy. The materials investigated included non-malignant and malignant breast tissue, which almost have similar grain sizes and thicknesses. The informative features of calculated optical properties of breast tissue at 633 nm allow one to discriminate between normal and malignant sample also Monte Carlo simulation are used to describe the propagation of light . An experimental scheme is applied for detection and imaging the reflected light from the sample to extract information of infected tissue. Calculations of the results demonstrate that the absorption coefficient for cancerous tissue is 10.07 cm -1 relative to 33.66 cm -1 for non-malignant (normal) breast tissue and the laser reflectance is 770.5 cm -1 for cancerous tissue relative to 261.43 cm -1 for normal tissue, which can be used for diagnostic purposes.
Highlights
Breast cancer is a malignant tumor that starts in the cells of the breast
We have investigated the optical properties of human breast tissues using the He:Ne laser and optical spectroscopy
Calculations of the results demonstrate that the absorption coefficient for cancerous tissue is 10.07 cm-1 relative to 33.66 cm-1 for non-malignant breast tissue and the laser reflectance is 770.5 cm-1 for cancerous tissue relative to 261.43 cm-1 for normal tissue, which can be used for diagnostic purposes
Summary
Breast cancer is a malignant tumor that starts in the cells of the breast. A malignant tumor is a group of cancer cells that can grow into surrounding tissues or metastasize to distant areas of the body. The beneficial effect of screening mammography has been shown in several studies world-wide where 20%-50% reduction in breast cancer mortality with screening has been demonstrated [2,3,4]. Current first-line breast cancer detection strategy still depends essentially on clinical examination and mammography. The limitations of the former, with its reported sensitivity rate often below 65% is well-recognized, and even the proposed value of selfbreast examination is being contested [7,8]. There is recent data suggesting that denser and less informative mammography images are precisely those associated with an increased cancer risk [11]
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