Finite Element Modeling of Abdominal Near‐Infrared Spectroscopy for Infant Splanchnic Oximetry
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Numer Methods Biomed Eng - 2025 - Emani - Finite Element Modeling of Abdominal Near‐Infrared Spectroscopy for Infant.pdf
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Author(s) • • • • • • •
Emani, Vishnu S
Ozturk, Caglar
Singh, Manisha
Long, Carly
Duffy, Summer
Sen, Danielle Gottlieb
Roche, Ellen T
Baker, Wesley B
Date Issued
April 15, 2025
Journal
International Journal for Numerical Methods in Biomedical Engineering
Publisher
Wiley
Citation
Emani, V.S., Ozturk, C., Singh, M., Long, C., Duffy, S., Sen, D.G., Roche, E.T. and Baker, W.B. (2025), Finite Element Modeling of Abdominal Near-Infrared Spectroscopy for Infant Splanchnic Oximetry. Int J Numer Meth Biomed Engng, 41: e70035.
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Final published version
Abstract
Abdominal near-infrared spectroscopy (NIRS) holds promise for early detection of necrotizing enterocolitis and other infantpathologies prior to irreversible injury, but the optimal NIRS sensor design is not well defined. In this study, we develop anddemonstrate a computational method to evaluate NIRS sensor designs for infant splanchnic oximetry. We used a finite element(FE) approach to simulate near-infrared light transport through a 3D model of the infant abdomen constructed from computedtomography (CT) images. The simulations enable the measurement of the contrast-to-noise ratio (CNR) for splanchnic oximetry,given a specific NIRS sensor design. A key design criterion is the sensor's source–detector distance (SDD). We calculated the CNRas a function of SDD for two sensor positions near the umbilicus. Contrast-to-noise was maximal at SDDs between 4 and 5 cm,and comparable between sensor positions. Sensitivity to intestinal tissue also exceeded sensitivity to superficial adipose tissue inthe 4–5 cm range. FE modeling of abdominal NIRS signals provides a means for rapid and thorough evaluation of sensor designsfor infant splanchnic oximetry. By informing optimal NIRS sensor design, the computational methods presented here can im-prove the reliability and applicability of infant splanchnic oximetry.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
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DOI of Published Version
https://doi.org/10.1002/cnm.70035