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Spatial and temporal skin blood volume and saturation estimation using a multispectral snapshot imaging camera
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6385-6760
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
2017 (English)In: IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES XV, SPIE-INT SOC OPTICAL ENGINEERING , 2017, Vol. 10068, UNSP 1006814Conference paper, Published paper (Refereed)
Abstract [en]

Hyperspectral imaging (HSI) can estimate the spatial distribution of skin blood oxygenation, using visible to near-infrared light. HSI oximeters often use a liquid-crystal tunable filter, an acousto-optic tunable filter or mechanically adjustable filter wheels, which has too long response/switching times to monitor tissue hemodynamics. This work aims to evaluate a multispectral snapshot imaging system to estimate skin blood volume and oxygen saturation with high temporal and spatial resolution. We use a snapshot imager, the xiSpec camera (MQ022HG-IM-SM4X4-VIS, XIMEA (R)), having 16 wavelength-specific Fabry-Perot filters overlaid on the custom CMOS-chip. The spectral distribution of the bands is however substantially overlapping, which needs to be taken into account for an accurate analysis. An inverse Monte Carlo analysis is performed using a two-layered skin tissue model, defined by epidermal thickness, haemoglobin concentration and oxygen saturation, melanin concentration and spectrally dependent reduced-scattering coefficient, all parameters relevant for human skin. The analysis takes into account the spectral detector response of the xiSpec camera. At each spatial location in the field-of-view, we compare the simulated output to the detected diffusively backscattered spectra to find the best fit. The imager is evaluated for spatial and temporal variations during arterial and venous occlusion protocols applied to the forearm. Estimated blood volume changes and oxygenation maps at 512x272 pixels show values that are comparable to reference measurements performed in contact with the skin tissue. We conclude that the snapshot xiSpec camera, paired with an inverse Monte Carlo algorithm, permits us to use this sensor for spatial and temporal measurement of varying physiological parameters, such as skin tissue blood volume and oxygenation.

Place, publisher, year, edition, pages
SPIE-INT SOC OPTICAL ENGINEERING , 2017. Vol. 10068, UNSP 1006814
Series
Proceedings of SPIE, ISSN 0277-786X
Keyword [en]
Multispectral imaging; hyperspectral imaging; diffuse reflectance spectroscopy; Monte Carlo simulations; computer modelling and simulation; skin blood saturation; microcirculation
National Category
Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-140078DOI: 10.1117/12.2251928ISI: 000407029900026ISBN: 978-1-5106-0577-0 (print)ISBN: 978-1-5106-0578-7 (electronic)OAI: oai:DiVA.org:liu-140078DiVA: diva2:1136573
Conference
Conference on Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV
Note

Funding Agencies|Centre for Industrial Information Technology (CENIIT) at Linkoping University; SEMEOTICONS (SEMEiotic Oriented Technology for Individuals CardiOmetabolic risk self-assessmeNt and Self-monitoring) [611516]

Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2017-08-28

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Ewerlöf, MariaLarsson, MarcusSalerud, Göran
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CiteExportLink to record
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Citation style
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