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dc.contributor.authorBjorgan, Asgeir
dc.contributor.authorMilanic, Matija
dc.contributor.authorRandeberg, Lise Lyngsnes
dc.identifier.citationJournal of Biomedical Optics. 2014, 19 (6), .nb_NO
dc.description.abstractHyperspectral 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 tissue properties using spectroscopic methods, and is thus useful as a general purpose diagnostic tool. We combine an analytic diffusion model for photon transport with real-time analysis of the hyperspectral images. This is achieved by parallelizing the inverse photon transport model on a graphics processing unit to yield optical parameters from diffuse reflectance spectra. The validity of this approach was verified by Monte Carlo simulations. Hyperspectral images of human skin in the wavelength range 400–1000 nm, with a spectral resolution of 3.6 nm and 1600 pixels across the field of view (Hyspex VNIR-1600), were used to develop the presented approach. The implemented algorithm was found to output optical properties at a speed of 3.5 ms per line of image data. The presented method is thus capable of meeting the defined real-time requirement, which was 30 ms per line of data.The algorithm is a proof of principle, which will be further developed.nb_NO
dc.description.abstractEstimation of skin optical parameters for real-time hyperspectral imaging applicationsnb_NO
dc.publisherSociety of Photo Optical Instrumentation Engineers (SPIE)nb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleEstimation of skin optical parameters for real-time hyperspectral imaging applicationsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of Biomedical Opticsnb_NO
dc.description.localcode© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.nb_NO
cristin.unitnameInstitutt for elektroniske systemer

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal