An experimental model for the photon depth statistics of re-emitted near-infrared light (Conference Presentation)

There is growing research on renal applications of near-infrared spectroscopy (NIRS), a non-invasive optical technique that measures tissue oxygen saturation. NIRS data can be more illuminating if clinicians know which anatomical structures it probes, but there is a lack of experimental data on the maximum and average photon depth of penetration in kidney tissue. Literature suggests that these parameters depend on the interoptode distance (IOD) between the light source and detector. To test these models, we made incremental cuts into a porcine renal sample secured on a NIRS sensor. We placed an opaque blade in the cut and graphed the attenuation of the optical signal. The maximum and average penetration depth was computed for 6 IODs between 16-40 mm. The maximum and the square root of the average depth of penetration had a linear relationship with the IOD, with an approximate slope of 0.25 and 0.02, respectively.

Authors

Institutions

Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1117/12.3057459
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An experimental model for the photon depth statistics of re-emitted near-infrared light (Conference Presentation)

Babak Shadgan, Arshdeep Khurana, Alireza Khodavandi
Advanced Optical Sensing Technologies
article

An experimental model for the photon depth statistics of re-emitted near-infrared light (Conference Presentation)

Babak Shadgan, Arshdeep Khurana, Alireza Khodavandi
article en

Abstract

There is growing research on renal applications of near-infrared spectroscopy (NIRS), a non-invasive optical technique that measures tissue oxygen saturation. NIRS data can be more illuminating if clinicians know which anatomical structures it probes, but there is a lack of experimental data on the maximum and average photon depth of penetration in kidney tissue. Literature suggests that these parameters depend on the interoptode distance (IOD) between the light source and detector. To test these models, we made incremental cuts into a porcine renal sample secured on a NIRS sensor. We placed an opaque blade in the cut and graphed the attenuation of the optical signal. The maximum and average penetration depth was computed for 6 IODs between 16-40 mm. The maximum and the square root of the average depth of penetration had a linear relationship with the IOD, with an approximate slope of 0.25 and 0.02, respectively.

University of British Columbia (CA)
Climate action
Openalex Percentile: Top 94%
Advanced Optical Sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.