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Hyperspectral imaging for detection of cholesterol in human skin
Norwegian University of Science and Technology, Norway.
Norwegian University of Science and Technology, Norway.
Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6385-6760
CNR, Italy.
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2015 (English)In: OPTICAL DIAGNOSTICS AND SENSING XV: TOWARD POINT-OF-CARE DIAGNOSTICS, Society of Photo-optical Instrumentation Engineers (SPIE) , 2015, Vol. 9332, no 93320WConference paper (Refereed)
Abstract [en]

Hypercholesterolemia is characterized by high levels of cholesterol in the blood and is associated with an increased risk of atherosclerosis and coronary heart disease. Early detection of hypercholesterolemia is necessary to prevent onset and progress of cardiovascular disease. Optical imaging techniques might have a potential for early diagnosis and monitoring of hypercholesterolemia. In this study, hyperspectral imaging was investigated for this application. The main aim of the study was to identify spectral and spatial characteristics that can aid identification of hypercholesterolemia in facial skin. The first part of the study involved a numerical simulation of human skin affected by hypercholesterolemia A literature survey was performed to identify characteristic morphological and physiological parameters. Realistic models were prepared and Monte Carlo simulations were performed to obtain hyperspectral images. Based on the simulations optimal wavelength regions for differentiation between normal and cholesterol rich skin were identified Minimum Noise Fraction transformation (MNF) was used for analysis. In the second part of the study, the simulations were verified by a clinical study involving volunteers with elevated and normal levels of cholesterol. The faces of the volunteers were scanned by a hyperspectral camera covering the spectral range between 400 nm and 720 nm, and characteristic spectral features of the affected skin were identified Processing of the images was done after conversion to reflectance and masking of the images. The identified features were compared to the known cholesterol levels of the subjects. The results of this study demonstrate that hyperspectral imaging of facial skin can be a promising, rapid modality for detection of hypercholesterolemia

Place, publisher, year, edition, pages
Society of Photo-optical Instrumentation Engineers (SPIE) , 2015. Vol. 9332, no 93320W
Keyword [en]
Monte Carlo; hyperspectral imaging; hypercholesterolemia; light-tissue interaction; Minimum Noise Fraction transformation
National Category
Medical Biotechnology
URN: urn:nbn:se:liu:diva-118258DOI: 10.1117/12.2076796ISI: 000353614800018ISBN: 978-1-62841-422-6OAI: diva2:813527
Conference on Optical Diagnostics and Sensing XV - Toward Point-of-Care Diagnostics
Available from: 2015-05-22 Created: 2015-05-22 Last updated: 2016-08-31

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Larsson, MarcusStrömberg, Tomas
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Biomedical InstrumentationFaculty of Science & Engineering
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