Work

Differential pathlength factor model for near-infrared diffuse optical imaging

Year: 2026

Type: article

Abstract: Continuous-wave near-infrared diffuse optical imaging relies on accurate differential pathlength factors (DPFs) for quantitative chromophore estimation. Existing DPF definitions inherit formulation-dependent limitations that can introduce large errors in modified Beer–Lambert law analyses. Using Monte Carlo simulations, we derive two distance- and property-dependent DPF models—one ideal and the other experimentally practicalhich we label as our new Inversedistance Model here). We benchmark them against existing formulations. The proposed models achieve errors below 15% across broad optical conditions, whereas conventional DPFs can exceed 100% error. The theoretical predictions are further validated using controlled phantom experiments, demonstrating improved quantitative accuracy in CW-NIR imaging.

Source: Biomedical Optics Express

DOI: 10.1364/boe.601705

Authors: Kaiser Niknam, Mannu Bardhan Paul, Mini Das

Institution: University of Houston

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,913

Funders: University of Houston, National Institute of Biomedical Imaging and Bioengineering