In the current report, we present further developments of a unified Monte Carlo-based computational framework and explore the potential of the emerging deep-learning neural networks for the determination of human skin optical properties. The hyperspectral data is acquired at each pixel as a function of time, by varying the illumination/detection wavelength and polarization of light. Subsequently, the signature of the detected signal within the tissues is estimated by a deep learning algorithm with supervised training based on a Monte Carlo modelling and then fit for the scattering and absorption properties of the tissue. The algorithm provides an estimation of parameters such as distributions of melanin, blood vessels, oxygenation, assessment of hyper vascularization and metabolism which are particularly critical for assessment of darkly and lightly pigmented skin lesions including moles, freckles, vitiligo, etc. The results of simulations are compared with exact analytical solutions, phantom studies and traditional diffuse reflectance spectroscopic point measurements. The computational solution is accelerated by the graphics processing units (GPUs) in a cloud-computing environment providing near-instant access to the results of analysis.
Alexander Doronin, Igor Meglinski, Alexander V. Bykov, and Holly Rushmeier, "Determination of human skin optical properties from hyper spectral data with deep-learning neural networks (Conference Presentation)," Proc. SPIE 10489, Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis, 104890U (Presented at SPIE BiOS: January 31, 2018; Published: 14 March 2018); https://doi.org/10.1117/12.2289149.5751447707001.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 12,000 conference presentations, including many plenary and keynote presentations.