Paperdoi:10.1109/embc46164.2021.9630909
Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
TL;DR
Traumatic brain injury (TBI) is one of the leading causes of death worldwide, yet there is no systematic approach to monitor TBI non-invasively. The main motivation of this work is to create new knowledge relating to light brain interaction using a Monte Carlo Model, which could aid in the development of non-invasive optical sensors for the continuous assessment of TBI. To this aim, a multilayer model tissue-model of adult human head was developed and explored at the near-infrared optical wavelength.
- Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021).
- DOI 10.1109/embc46164.2021.9630909.
Abstract
Traumatic brain injury (TBI) is one of the leading causes of death worldwide, yet there is no systematic approach to monitor TBI non-invasively. The main motivation of this work is to create new knowledge relating to light brain interaction using a Monte Carlo Model, which could aid in the development of non-invasive optical sensors for the continuous assessment of TBI. To this aim, a multilayer model tissue-model of adult human head was developed and explored at the near-infrared optical wavelength. Investigation reveals that maximum light (40-50%) is absorbed in the skull and the minimum light is absorbed in the subarachnoid space (0-1%). It was found that the absorbance of light decreases with increasing source-detector separation up to 3cm where light travels through the subarachnoid space, after which the absorbance increases with the increasing separation. Such information will be helpful towards the modelling of neurocritical brain tissue followed by the sensor development.
Verbatim from Europe PMC (opens in a new tab) · Abstract via Europe PMC; © the authors/publisher
Results on ChatPPG leaderboards
All leaderboardsNo results from this paper on ChatPPG leaderboards yet. Browse the leaderboards.
Tasks & signals
Keywords
Cite this paper
Roldan, M., Chatterjee, S., & Kyriacou, P. A. (2021). Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society. https://doi.org/10.1109/embc46164.2021.9630909
Roldan, M., S. Chatterjee, and P. A. Kyriacou. 2021. "Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury." 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society. https://doi.org/10.1109/embc46164.2021.9630909.
Roldan, M., Chatterjee, S. and Kyriacou, P. A. (2021) 'Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury', 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society. doi: 10.1109/embc46164.2021.9630909.
Roldan, M., et al. "Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury." 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021. https://doi.org/10.1109/embc46164.2021.9630909.
M. Roldan, S. Chatterjee, and P. A. Kyriacou, "Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021, doi: 10.1109/embc46164.2021.9630909.
@inproceedings{roldan2021brain,
title = {{Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury}},
author = {Roldan, M. and Chatterjee, S. and Kyriacou, P. A.},
year = {2021},
booktitle = {2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society},
doi = {10.1109/embc46164.2021.9630909}
}Added to the ChatPPG research hub