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High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system
This paper presents a novel method for early detection of hematomas using highly sensitive optical fNIR imaging methods based on broadband photon migration. The NIR experimental measurements of inhomogeneous multi-layer phantoms representing human head are compared to 3D numerical modeling over broa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260698/ https://www.ncbi.nlm.nih.gov/pubmed/30482252 http://dx.doi.org/10.1186/s12938-018-0605-2 |
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author | Sultan, E. Gandjbakhche, A. H. Pourrezaei, K. Daryoush, A. S. |
author_facet | Sultan, E. Gandjbakhche, A. H. Pourrezaei, K. Daryoush, A. S. |
author_sort | Sultan, E. |
collection | PubMed |
description | This paper presents a novel method for early detection of hematomas using highly sensitive optical fNIR imaging methods based on broadband photon migration. The NIR experimental measurements of inhomogeneous multi-layer phantoms representing human head are compared to 3D numerical modeling over broadband frequencies of 30–1000 MHz. A finite element method (FEM) simulation of the head phantom are compared to measurements of insertion loss and phase using custom-designed broadband free space optical transmitter (Tx) and receiver (Rx) modules that are developed for photon migration at wavelengths of 670 nm, 795 nm, 850 nm, though results of 670 nm are discussed here. Standard error is used to compute error between 3D FEM modeling and experimental measurements by fitting experimental data to the [Formula: see text] . Error results are shown at narrowband and broadband frequency modulation in order to have confidence in 3D numerical modeling. A novel method is established here to identify presence of hematoma based on first and second derivatives of changes in insertion loss and phase (∆IL and ∆IP), where frequency modulated photons sensitive to different sizes of hematoma is identified for wavelength of 670 nm. The high accuracy of this comparison provides confidence in optical bio-imaging and its eventual application to TBI detection. |
format | Online Article Text |
id | pubmed-6260698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62606982018-11-30 High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system Sultan, E. Gandjbakhche, A. H. Pourrezaei, K. Daryoush, A. S. Biomed Eng Online Research This paper presents a novel method for early detection of hematomas using highly sensitive optical fNIR imaging methods based on broadband photon migration. The NIR experimental measurements of inhomogeneous multi-layer phantoms representing human head are compared to 3D numerical modeling over broadband frequencies of 30–1000 MHz. A finite element method (FEM) simulation of the head phantom are compared to measurements of insertion loss and phase using custom-designed broadband free space optical transmitter (Tx) and receiver (Rx) modules that are developed for photon migration at wavelengths of 670 nm, 795 nm, 850 nm, though results of 670 nm are discussed here. Standard error is used to compute error between 3D FEM modeling and experimental measurements by fitting experimental data to the [Formula: see text] . Error results are shown at narrowband and broadband frequency modulation in order to have confidence in 3D numerical modeling. A novel method is established here to identify presence of hematoma based on first and second derivatives of changes in insertion loss and phase (∆IL and ∆IP), where frequency modulated photons sensitive to different sizes of hematoma is identified for wavelength of 670 nm. The high accuracy of this comparison provides confidence in optical bio-imaging and its eventual application to TBI detection. BioMed Central 2018-11-27 /pmc/articles/PMC6260698/ /pubmed/30482252 http://dx.doi.org/10.1186/s12938-018-0605-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Sultan, E. Gandjbakhche, A. H. Pourrezaei, K. Daryoush, A. S. High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system |
title | High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system |
title_full | High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system |
title_fullStr | High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system |
title_full_unstemmed | High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system |
title_short | High spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fNIR system |
title_sort | high spatial resolution identification of hematoma in inhomogeneous head phantom using broadband fnir system |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260698/ https://www.ncbi.nlm.nih.gov/pubmed/30482252 http://dx.doi.org/10.1186/s12938-018-0605-2 |
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