ArticleBiomedical optics express2026
Monte Carlo-based correction of geometric and instrumental biases in single-distance time-domain near-infrared spectroscopy on skeletal muscle.
Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Monte Carlo-based correction of geometric and instrumental biases in single-distance time-domain near-infrared spectroscopy on skeletal muscle.Biomedical optics express · 2026Article
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Authors and funding
7 authors.
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Abstract
Time-Domain Near-Infrared Spectroscopy (TD NIRS) data from skeletal muscle are commonly analyzed using homogeneous models for photon diffusion, introducing substantial bias when the skeletal muscle is overlain by a thick superficial adipose tissue. We used Monte Carlo simulations of photon propagation in layered media to quantify these effects and to develop correction strategies for both homogeneous and two-layer analytical models. A total of 1500 single-source-detector distance TD NIRS curves with varying optical and geometrical properties were simulated and fitted with a homogeneous or layered model for photon diffusion. By comparison with the ground-truth absorption coefficients of the lower layer, correction curves were obtained. The role of the instrument response function was investigated, highlighting its impact on homogeneous and layered analyses. A simulated vascular occlusion test showed that corrections reduced the median absolute percentage error of recovered hemodynamic parameters from
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Registered trials
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