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4 March 2014 Estimation of skin optical parameters for real-time hyperspectral imaging applications
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Proceedings Volume 8926, Photonic Therapeutics and Diagnostics X; 89260S (2014)
Event: SPIE BiOS, 2014, San Francisco, California, United States
Hyperspectral imaging combines high spectral and spatial resolution in one modality. This imaging technique is a promising tool for objective medical diagnostics. However, to be attractive in a clinical setting the technique needs to be fast and accurate. Hyperspectral imaging can be used to analyze the chemical composition of tissue using spectroscopic methods, and is thus useful as a general purpose diagnostic tool. In this study, we combine an analytic diffusion model for photon transport with real-time analysis of hyperspectral images. This is achieved by inverting and parallelizing the photon transport model on a GPU to yield optical parameters from diffuse reflectance spectra. The resulting inversion chain was found to output the results in real-time. The inverse approach was found to characterize the relative differences in the optical properties. The presented approach is a proof of principle, necessary for developing a future real-time diagnostic system using hyperspectral imaging.
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Asgeir Bjorgan and Lise Lyngsnes Randeberg "Estimation of skin optical parameters for real-time hyperspectral imaging applications", Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 89260S (4 March 2014);

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