Finite Element Model for Parametrization of Adipose Tissue Thickness to Assess Near-Infrared Beam Penetration: A First Approach

In this study, we aim to determine the critical adipose tissue thickness at which the infrared beam of near-infrared spectroscopy is absorbed at 50% in a multi-tissue model through a parametric study in COMSOL Multiphysics, with adipose tissue thickness ranging from 1 to 50 mm. Additionally, the critical thickness is related to body fat percentage (BFP) in both men and women. The findings provide valuable insights into the limitations of NIRS for detecting physiological parameters across different tissue compositions, helping to identify suitable candidates for NIRS-based studies based on their fat percentage.

Authors

Institutions

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/cce62852.2024.10770950
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite Element Model for Parametrization of Adipose Tissue Thickness to Assess Near-Infrared Beam Penetration: A First Approach

L. Leija, G. Vega-Martínez, Jesús Fausto Córdova-Manzo, A. Vera et al.
Infrared Thermography in Medicine
article

Finite Element Model for Parametrization of Adipose Tissue Thickness to Assess Near-Infrared Beam Penetration: A First Approach

L. Leija, G. Vega-Martínez, Jesús Fausto Córdova-Manzo, A. Vera, Josefina Gutiérrez-Martínez
article en

Abstract

In this study, we aim to determine the critical adipose tissue thickness at which the infrared beam of near-infrared spectroscopy is absorbed at 50% in a multi-tissue model through a parametric study in COMSOL Multiphysics, with adipose tissue thickness ranging from 1 to 50 mm. Additionally, the critical thickness is related to body fat percentage (BFP) in both men and women. The findings provide valuable insights into the limitations of NIRS for detecting physiological parameters across different tissue compositions, helping to identify suitable candidates for NIRS-based studies based on their fat percentage.

Instituto Nacional de Rehabilitación (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Openalex Percentile: Top 58%
Infrared Thermography in Medicine
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.