Evaluation of a pointwise microcirculation assessment method using liquid and multilayered tissue simulating phantoms
2017 (English)In: Journal of Biomedical Optics, ISSN 1083-3668, E-ISSN 1560-2281, Vol. 22, no 11, article id 115004Article in journal (Refereed) Published
Abstract [en]
A fiber-optic probe-based instrument, designed for assessment of parameters related to microcirculation, red blood cell tissue fraction (f(RBC)), oxygen saturation (S-O2), and speed resolved perfusion, has been evaluated using state-of-the-art tissue phantoms. The probe integrates diffuse reflectance spectroscopy (DRS) at two source-detector separations and laser Doppler flowmetry, using an inverse Monte Carlo method for identifying the parameters of a multilayered tissue model. Here, we characterize the accuracy of the DRS aspect of the instrument using (1) liquid blood phantoms containing yeast and (2) epidermis-dermis mimicking solid-layered phantoms fabricated from polydimethylsiloxane, titanium oxide, hemoglobin, and coffee. The rootmean-square (RMS) deviations for f(RBC) for the two liquid phantoms were 11% and 5.3%, respectively, and 11% for the solid phantoms with highest hemoglobin signatures. The RMS deviation for SO2 was 5.2% and 2.9%, respectively, for the liquid phantoms, and 2.9% for the solid phantoms. RMS deviation for the reduced scattering coefficient (mus), for the solid phantoms was 15% (475 to 850 nm). For the liquid phantoms, the RMS deviation in average vessel diameter (D) was 1 mu m. In conclusion, the skin microcirculation parameters fRBC and SO2, as well as, mu(s) and D are estimated with reasonable accuracy. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
Place, publisher, year, edition, pages
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS , 2017. Vol. 22, no 11, article id 115004
Keywords [en]
diffuse reflectance spectroscopy; optical phantoms; multilayered tissue model; microcirculation; inverse Monte Carlo; sampling volume
National Category
Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-143942DOI: 10.1117/1.JBO.22.11.115004ISI: 000418064300008PubMedID: 29139245OAI: oai:DiVA.org:liu-143942DiVA, id: diva2:1169761
Note
Funding Agencies|Swedens innovation agency VINNOVA via the program MedTech4Health [2016-02211]; Swedens innovation agency VINNOVA via the program VINNMER Marie Curie Academy Outgoing [2015-01503]; Fulbright Visiting Scholar grant; Beckman Foundation; NIH from NIBIB [P41EB015890]
2017-12-292017-12-292021-12-28