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dc.contributor.authorBauer, Jacob Renzo
dc.contributor.authorPedersen, Marius
dc.contributor.authorHardeberg, Jon Yngve
dc.contributor.authorVerdaasdonk, Rudolf
dc.date.accessioned2018-02-12T12:20:23Z
dc.date.available2018-02-12T12:20:23Z
dc.date.created2017-09-21T08:43:46Z
dc.date.issued2017
dc.identifier.isbn9780892083275
dc.identifier.urihttp://hdl.handle.net/11250/2484094
dc.description.abstractOptical assessment is a useful tool for non-invasive skin assessment avoiding scarring, time delayed diagnosis, hurting, and inconvenience for patient and practitioner. This has led to wide adaption of digital imaging and other optical technologies in dermatology. Many of these optical technologies lack quantifiability, therefore, the reproduction, comparison or absolute meaning of measurements or images is an open challenge. Monte Carlo simulation for multi-layered turbid media provides an accurate tool for simulating the optical path of photons traversing in the skin and the diffuse spectral reflectance of skin. With this tool at hand the missing link between health metrics and measurable optical phenomena can be provided and it can help to establish optical assessment and digital images as a standard for health monitoring of skin. A number of publicly available simulation codes and several different approaches have been proposed. In this work we give an overview of three Monte Carlo simulation tools and compare the different approaches. Furthermore, we will use Monte Carlo Simulations to generate different spectra based on varying optical properties and use these spectra to generate colour patches to analyse the impact of different optical properties on the resulting RGB colour patches.nb_NO
dc.language.isoengnb_NO
dc.publisherThe Society for Imaging Science and Technologynb_NO
dc.relation.ispartofCIC25, 25th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications
dc.titleSkin color simulation - review and analysis of available Monte Carlo-based photon transport simulation modelsnb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber165-170nb_NO
dc.identifier.cristin1496121
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2017 by The Society for Imaging Science and Technologynb_NO
cristin.unitcode194,18,21,70
cristin.unitnameNorwegian Media Technology Lab
cristin.ispublishedtrue
cristin.fulltextoriginal


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