Finite element modeling of abdominal near-infrared spectroscopy for infant splanchnic oximetry
Finite element modeling of abdominal near-infrared spectroscopy for infant splanchnic oximetry
Abdominal near-infrared spectroscopy (NIRS) holds promise for early detection of necrotizing enterocolitis and other infant pathologies prior to irreversible injury, but the optimal NIRS sensor design is not well defined. In this study, we develop and demonstrate 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 computed tomography (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 CNR as 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 in the 4-5 cm range. FE modeling of abdominal NIRS signals provides a means for rapid and thorough evaluation of sensor designs for infant splanchnic oximetry. By informing optimal NIRS sensor design, the computational methods presented here can improve the reliability and applicability of infant splanchnic oximetry.
Abdomen/blood supply, Computer Simulation, Finite Element Analysis, Humans, Infant, Infant, Newborn, Oximetry/methods, Signal-To-Noise Ratio, Spectroscopy, Near-Infrared/methods, Splanchnic Circulation/physiology
Emani, Vishnu S.
1a7156e9-f7ed-4b8e-aff6-b07bcf2cce43
Ozturk, Caglar
70bbd3bd-fc56-48e8-8b5e-00d5270c1526
Singh, Manisha
81e1f176-600e-4b05-a8c2-85d67bc00ad3
Long, Carly
0302afee-e2d2-4d61-a919-9f43192b4dc3
Duffy, Summer
cd74ab8f-db68-4963-b317-8bdc1c824928
Sen, Danielle Gottlieb
c7548dce-0496-4834-8281-fc2b48800c10
Roche, Ellen T.
63e632c8-d821-4c2f-a728-aaf331a5c2a1
Baker, Wesley B.
a5c6abee-85ec-45be-be82-d9546ca26e13
15 April 2025
Emani, Vishnu S.
1a7156e9-f7ed-4b8e-aff6-b07bcf2cce43
Ozturk, Caglar
70bbd3bd-fc56-48e8-8b5e-00d5270c1526
Singh, Manisha
81e1f176-600e-4b05-a8c2-85d67bc00ad3
Long, Carly
0302afee-e2d2-4d61-a919-9f43192b4dc3
Duffy, Summer
cd74ab8f-db68-4963-b317-8bdc1c824928
Sen, Danielle Gottlieb
c7548dce-0496-4834-8281-fc2b48800c10
Roche, Ellen T.
63e632c8-d821-4c2f-a728-aaf331a5c2a1
Baker, Wesley B.
a5c6abee-85ec-45be-be82-d9546ca26e13
Emani, Vishnu S., Ozturk, Caglar, Singh, Manisha, Long, Carly, Duffy, Summer, Sen, Danielle Gottlieb, Roche, Ellen T. and Baker, Wesley B.
(2025)
Finite element modeling of abdominal near-infrared spectroscopy for infant splanchnic oximetry.
International Journal for Numerical Methods in Biomedical Engineering, 41 (4), [e70035].
(doi:10.1002/cnm.70035).
Abstract
Abdominal near-infrared spectroscopy (NIRS) holds promise for early detection of necrotizing enterocolitis and other infant pathologies prior to irreversible injury, but the optimal NIRS sensor design is not well defined. In this study, we develop and demonstrate 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 computed tomography (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 CNR as 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 in the 4-5 cm range. FE modeling of abdominal NIRS signals provides a means for rapid and thorough evaluation of sensor designs for infant splanchnic oximetry. By informing optimal NIRS sensor design, the computational methods presented here can improve the reliability and applicability of infant splanchnic oximetry.
Text
Numer Methods Biomed Eng - 2025 - Emani - Finite Element Modeling of Abdominal Near‐Infrared Spectroscopy for Infant
- Version of Record
More information
Accepted/In Press date: 28 March 2025
e-pub ahead of print date: 15 April 2025
Published date: 15 April 2025
Keywords:
Abdomen/blood supply, Computer Simulation, Finite Element Analysis, Humans, Infant, Infant, Newborn, Oximetry/methods, Signal-To-Noise Ratio, Spectroscopy, Near-Infrared/methods, Splanchnic Circulation/physiology
Identifiers
Local EPrints ID: 502328
URI: http://eprints.soton.ac.uk/id/eprint/502328
ISSN: 2040-7947
PURE UUID: 9fc09705-912b-4ce0-9d5e-e3f01924e24f
Catalogue record
Date deposited: 23 Jun 2025 16:34
Last modified: 22 Aug 2025 02:42
Export record
Altmetrics
Contributors
Author:
Vishnu S. Emani
Author:
Caglar Ozturk
Author:
Manisha Singh
Author:
Carly Long
Author:
Summer Duffy
Author:
Danielle Gottlieb Sen
Author:
Ellen T. Roche
Author:
Wesley B. Baker
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics