A Dual-Mode Near-Infrared Optical Probe and Monte Carlo Framework for Functional Monitoring of Rheumatoid Arthritis:
Parmveer Atwal1,2, Ryley McWilliams1, Ramani Ramaseshen1,2
1School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada.
Sensors (Basel, Switzerland)
|February 27, 2026
Summary
This study introduces a low-cost near-infrared (NIR) optical probe for rheumatoid arthritis (RA) monitoring. The dual-mode probe differentiates disease presence and severity, offering a potential point-of-care diagnostic tool.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Rheumatology
Background:
- Current rheumatoid arthritis (RA) diagnostics like MRI and ultrasound are resource-intensive and focus on structural damage.
- There's a need for non-invasive, cost-effective methods for functional monitoring of joint inflammation in RA.
Purpose of the Study:
- To design and technically validate a low-cost, continuous-wave, near-infrared (NIR) dual-mode optical probe for RA functional monitoring.
- To assess the probe's ability to differentiate disease presence and severity by combining reflectance and transmission measurements.
Main Methods:
- Developed a dual-mode NIR optical probe utilizing reflectance and transmission geometries.
- Employed Monte Carlo (MC) simulations to model RA progression and optical signatures.
- Validated the system using physical phantoms and in vivo human volunteer measurements.
Main Results:
- Reflectance geometry effectively discriminates the onset of synovial turbidity (disease presence).
- Transmission flux serves as a quantitative measure of pannus volume (disease severity), consistent with the Beer-Lambert law.
- Identified 'metric inversion' in darker skin phenotypes, where epidermal absorption affects morphological metrics but not transmission flux.
Conclusions:
- The dual-mode NIR probe provides a potential pathway for longitudinal, quantitative monitoring of RA disease activity at the point of care.
- Transmission flux is a robust metric for grading RA severity across diverse skin tones.
- MC simulations are valuable for optimizing measurement geometry for specific clinical endpoints in RA diagnostics.
Keywords:
Monte Carlo simulationbiomedical opticsdisease detectiondisease gradingequipment designnear-infrared spectroscopyoptical phantomrheumatoid arthritis

