Mr. Peter J. Scott Profile

Peter J. Scott

at Univ of Massachusetts Chan Medical School

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Proceedings Article | 26 February 2010 Paper

Feasibility of analyte prediction in phantoms using a theoretical model of near-infrared spectra

Fengmei Zou, Boyan Peshlov, Randy Ross, Gwenn E. Ellerby, Peter Scott, Ye Yang, Babs Soller

Proceedings Volume 7572, 75720I (2010) https://doi.org/10.1117/12.841833

KEYWORDS: Data modeling, Reflectivity, Absorbance, Near infrared, Solids, Spectroscopy, Principal component analysis, Blood, Mathematical modeling, Scattering

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Near-infrared (NIR) spectroscopic measurement of blood and tissue chemistry often requires a large set of subject data for training a prediction model. We have previously developed the principal component analysis loading correction (PCALC) method to correct for subject related spectral variations. In this study we tested the concept of developing PCALC factors from simulated spectra. Thirty, two-layer solid phantoms were made with 5 ink concentrations (0.004%- 0.02%), 2 μs' levels, and 3 fat thicknesses. Spectra were collected in reflectance mode and converted to absorbance by referencing to a 99% reflectance standard. Spectra (5733) were simulated using Kienle's two-layer turbid media model encompassing the range of parameters used in the phantoms. PCALC factors were generated from the simulated spectra at one ink concentration. Simulated spectra were corrected with the PCALC factors and a PLS model was developed to predict ink concentration from spectra. The best-matched simulated spectrum was identified for each measured phantom spectrum. These best-matched simulated spectra were corrected with the PCALC factors derived from the simulated spectra set, and they were used in the PLS model to predict ink concentrations. The ink concentrations were predicted with an R²=0.897, and an estimated error (RMSEP) of 0.0037%. This study demonstrated the feasibility of using simulated spectra to correct for inter-subject spectral differences and accurately determine analyte concentrations in turbid media.

Proceedings Article | 24 February 2010 Paper

Accurate in vivo NIR measurement of skeletal muscle oxygenation through fat

Chunguang Jin, Fengmei Zou, Gwenn Ellerby, Peter Scott, Boyan Peshlov, Babs Soller

Proceedings Volume 7559, 75590P (2010) https://doi.org/10.1117/12.843225

KEYWORDS: Near infrared, Sensors, Skin, Tissues, Light sources, Absorption, In vivo imaging, Tissue optics, Signal attenuation, Spectroscopy

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Noninvasive near infrared (NIR) spectroscopic measurement of muscle oxygenation requires the penetration of light through overlying skin and fat layers. We have previously demonstrated a dual-light source design and orthogonalization algorithm that corrects for inference from skin absorption and fat scattering. To achieve accurate muscle oxygen saturation (SmO₂) measurement, one must select the appropriate source-detector distance (SD) to completely penetrate the fat layer. Methods: Six healthy subjects were supine for 15min to normalize tissue oxygenation across the body. NIR spectra were collected from the calf, shoulder, lower and upper thigh muscles with long SD distances of 30mm, 35mm, 40mm and 45mm. Spectral preprocessing with the short SD (3mm) spectrum preceded SmO₂ calculation with a Taylor series expansion method. Three-way ANOVA was used to compare SmO₂ values over varying fat thickness, subjects and SD distances. Results: Overlying fat layers varied in thickness from 4.9mm to 19.6mm across all subjects. SmO₂ measured at the four locations were comparable for each subject (p=0.133), regardless of fat thickness and SD distance. SmO₂ (mean±std dev) measured at calf, shoulder, low and high thigh were 62±3%, 59±8%, 61±2%, 61±4% respectively for SD distance of 30mm. In these subjects no significant influence of SD was observed (p=0.948). Conclusions: The results indicate that for our sensor design a 30mm SD is sufficient to penetrate through a 19mm fat layer and that orthogonalization with short SD effectively removed spectral interference from fat to result in a reproducible determination of SmO₂.

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