Utilization of Multi-spectral Images in Photodynamic Diagnosis
This paper introduces multi-spectral images for healthy and cancerous parts of human skin. It compares light spectrum calculated from those images with spectrum obtained from simulation. First the mathematical model of tissue and Monte Carlo algorithm of light propagation in turbid media is presented. This theory was then extended to imitate the fluorescence phenomenon, necessary for cancer recognition. Then the processing method of non-normalized multi-spectral images was described. Finally both results were compared to confirm that the assumed model is correct. Having all those information it will be possible to simulate such environment, which applied into reality, would make the cancer diagnosis much faster.
KeywordsHuman Skin Tissue Surface Monte Carlo Algorithm Exit Angle Turbid Medium
Unable to display preview. Download preview PDF.
- 1.Bradford, P.T.: Skin Cancer in Skin of Color. Dermatology nursing 21(4), 170–206 (2009)Google Scholar
- 2.Yavari, N.: Optical spectroscopy for tissue diagnostics and treatment control. Doctoral Thesis, Department of Physics and Technology University of Bergen (2006)Google Scholar
- 4.Long, R., McShane, M.J.: Modeling of Selective Photon Capture for Collection of Fluorescence Emitted from Dermally-Implanted Microparticle Sensors. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 21(4), pp. 2972–2975 (2007)Google Scholar
- 9.Wang, L., Jacques, S.L.: Monte Carlo Modeling of Light Transport in Multi-layered Tissues in Standard C. University of Texas M. D. Anderson Cancer Center (1992)Google Scholar
- 10.Pharr, M., Humphereys, G.: Physically based rendering. From theory to implementation. Morgan Kaufmann, San Francisco (2004)Google Scholar