Open Access
Biomedical Optics Express, volume 10, issue 7, pages 3545
Hyperspectral imaging of human skin aided by artificial neural networks.
Dremin Viktor
1
,
Popov Alexey
1
,
Doronin Alexander
2
,
Kurakina Daria
3
,
Kirillin Mikhail
3
,
Meglinski Igor
1
,
2
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, 6140 Wellington, New Zealand
|
Publication type: Journal Article
Publication date: 2019-06-24
Journal:
Biomedical Optics Express
Quartile SCImago
Q1
Quartile WOS
Q2
Impact factor: 3.4
ISSN: 21567085
PubMed ID:
31467793
Biotechnology
Atomic and Molecular Physics, and Optics
Abstract
We developed a compact, hand-held hyperspectral imaging system for 2D neural network-based visualization of skin chromophores and blood oxygenation. State-of-the-art micro-optic multichannel matrix sensor combined with the tunable Fabry-Perot micro interferometer enables a portable diagnostic device sensitive to the changes of the oxygen saturation as well as the variations of blood volume fraction of human skin. Generalized object-oriented Monte Carlo model is used extensively for the training of an artificial neural network utilized for the hyperspectral image processing. In addition, the results are verified and validated via actual experiments with tissue phantoms and human skin in vivo. The proposed approach enables a tool combining both the speed of an artificial neural network processing and the accuracy and flexibility of advanced Monte Carlo modeling. Finally, the results of the feasibility studies and the experimental tests on biotissue phantoms and healthy volunteers are presented.
Citations by journals
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1
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6
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Biomedical Optics Express
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Biomedical Optics Express
6 publications, 9.52%
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Diagnostics
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Diagnostics
4 publications, 6.35%
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Journal of Biomedical Optics
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Journal of Biomedical Optics
4 publications, 6.35%
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Sensors
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Sensors
4 publications, 6.35%
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Journal of Biophotonics
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Journal of Biophotonics
3 publications, 4.76%
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Applied Sciences (Switzerland)
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Applied Sciences (Switzerland)
3 publications, 4.76%
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Scientific Reports
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Scientific Reports
2 publications, 3.17%
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Quantum Electronics
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Quantum Electronics
2 publications, 3.17%
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Laser Physics Letters
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Laser Physics Letters
2 publications, 3.17%
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Applied Optics
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Applied Optics
2 publications, 3.17%
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IEEE Access
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IEEE Access
2 publications, 3.17%
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Skin Research and Technology
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Skin Research and Technology
2 publications, 3.17%
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IEEE Transactions on Medical Imaging
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IEEE Transactions on Medical Imaging
1 publication, 1.59%
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Progress in Biomedical Optics and Imaging - Proceedings of SPIE
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Progress in Biomedical Optics and Imaging - Proceedings of SPIE
1 publication, 1.59%
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Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
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Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
1 publication, 1.59%
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IET Image Processing
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IET Image Processing
1 publication, 1.59%
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Molecules
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Molecules
1 publication, 1.59%
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Biomedicines
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Biomedicines
1 publication, 1.59%
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Biochip Journal
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Biochip Journal
1 publication, 1.59%
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Artificial Life and Robotics
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Artificial Life and Robotics
1 publication, 1.59%
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MethodsX
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MethodsX
1 publication, 1.59%
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Medical Image Analysis
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Medical Image Analysis
1 publication, 1.59%
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Applied Intelligence
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Applied Intelligence
1 publication, 1.59%
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Computer Methods and Programs in Biomedicine
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Computer Methods and Programs in Biomedicine
1 publication, 1.59%
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Microvascular Research
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Microvascular Research
1 publication, 1.59%
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Computer Graphics Forum
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Computer Graphics Forum
1 publication, 1.59%
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Quantitative Imaging in Medicine and Surgery
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Quantitative Imaging in Medicine and Surgery
1 publication, 1.59%
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Izvestiya of Saratov University. Physics
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Izvestiya of Saratov University. Physics
1 publication, 1.59%
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Laser and Photonics Reviews
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Laser and Photonics Reviews
1 publication, 1.59%
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1
2
3
4
5
6
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Citations by publishers
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2
4
6
8
10
12
14
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
13 publications, 20.63%
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Optical Society of America
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Optical Society of America
8 publications, 12.7%
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Wiley
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Wiley
7 publications, 11.11%
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Springer Nature
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Springer Nature
6 publications, 9.52%
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SPIE
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SPIE
5 publications, 7.94%
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Elsevier
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Elsevier
5 publications, 7.94%
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IOP Publishing
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IOP Publishing
4 publications, 6.35%
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IEEE
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IEEE
3 publications, 4.76%
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Taylor & Francis
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Taylor & Francis
1 publication, 1.59%
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Institution of Engineering and Technology (IET)
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Institution of Engineering and Technology (IET)
1 publication, 1.59%
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AME Publishing Company
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AME Publishing Company
1 publication, 1.59%
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Saratov State University
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Saratov State University
1 publication, 1.59%
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2
4
6
8
10
12
14
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Zherebtsov E. A. et al. Hyperspectral imaging of human skin aided by artificial neural networks. // Biomedical Optics Express. 2019. Vol. 10. No. 7. p. 3545.
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Zherebtsov E. A., Dremin V., Popov A., Doronin A., Kurakina D., Kirillin M., Meglinski I., Bykov A. V. Hyperspectral imaging of human skin aided by artificial neural networks. // Biomedical Optics Express. 2019. Vol. 10. No. 7. p. 3545.
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RIS
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TY - JOUR
DO - 10.1364/BOE.10.003545
UR - https://doi.org/10.1364%2FBOE.10.003545
TI - Hyperspectral imaging of human skin aided by artificial neural networks.
T2 - Biomedical Optics Express
AU - Zherebtsov, Evgeny A.
AU - Dremin, Viktor
AU - Doronin, Alexander
AU - Kirillin, Mikhail
AU - Meglinski, Igor
AU - Bykov, Alexander V.
AU - Kurakina, Daria
AU - Popov, Alexey
PY - 2019
DA - 2019/06/24 00:00:00
PB - Optical Society of America
SP - 3545
IS - 7
VL - 10
PMID - 31467793
SN - 2156-7085
ER -
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@article{2019_Zherebtsov,
author = {Evgeny A. Zherebtsov and Viktor Dremin and Alexander Doronin and Mikhail Kirillin and Igor Meglinski and Alexander V. Bykov and Daria Kurakina and Alexey Popov},
title = {Hyperspectral imaging of human skin aided by artificial neural networks.},
journal = {Biomedical Optics Express},
year = {2019},
volume = {10},
publisher = {Optical Society of America},
month = {jun},
url = {https://doi.org/10.1364%2FBOE.10.003545},
number = {7},
pages = {3545},
doi = {10.1364/BOE.10.003545}
}
Cite this
MLA
Copy
Zherebtsov, Evgeny A., et al. “Hyperspectral imaging of human skin aided by artificial neural networks..” Biomedical Optics Express, vol. 10, no. 7, Jun. 2019, p. 3545. https://doi.org/10.1364%2FBOE.10.003545.