Extraction of optical properties from hyperspectral images by Monte Carlo light propagation model

Matic Ivančič; Peter Naglič; Franjo Pernuš; Boštjan Likar; Miran Bürmen

doi:10.1117/12.2212807

7 March 2016 Extraction of optical properties from hyperspectral images by Monte Carlo light propagation model

Matic Ivančič, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Proceedings Volume 9706, Optical Interactions with Tissue and Cells XXVII; 97061A (2016) https://doi.org/10.1117/12.2212807
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

In this paper, diffuse reflectance hyperspectral images of a light beam propagating through a semi-infinite homogeneous layer were simulated by a modified version of the open source Monte Carlo (MC) for multi-layered tissues. Subsequently, the optical properties in terms of absorption and reduced scattering coefficients were extracted from the simulated hyperspectral images by an inverse MC model based on a criterion function that exploits the spatially resolved information of hyperspectral images. The method was validated on real hyperspectral images of turbid phantoms with exactly defined optical properties.

Conference Presentation

Citation Download Citation

Matic Ivančič, Peter Naglič, Franjo Pernuš, Boštjan Likar, and Miran Bürmen "Extraction of optical properties from hyperspectral images by Monte Carlo light propagation model", Proc. SPIE 9706, Optical Interactions with Tissue and Cells XXVII, 97061A (7 March 2016); https://doi.org/10.1117/12.2212807

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