Toward photothermal damage detection during laser osteotomy using optical coherence tomography

Feedback systems have been utilized to reduce the possible thermal side effects of lasers for surgery by means of temperature monitoring to control irrigation systems. In this study, we investigated the potential application of optical coherence tomography as a means of detecting bone dehydration st...

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Main Authors: Grava Aikaterina, Hamidi Arsham, Gonzalez-Jimenez Alvaro, Bayhaqi Yakub A., Navarini Alexander A., Cattin Philippe C., Canbaz Ferda
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_09029.pdf
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author Grava Aikaterina
Hamidi Arsham
Gonzalez-Jimenez Alvaro
Bayhaqi Yakub A.
Navarini Alexander A.
Cattin Philippe C.
Canbaz Ferda
author_facet Grava Aikaterina
Hamidi Arsham
Gonzalez-Jimenez Alvaro
Bayhaqi Yakub A.
Navarini Alexander A.
Cattin Philippe C.
Canbaz Ferda
author_sort Grava Aikaterina
collection DOAJ
description Feedback systems have been utilized to reduce the possible thermal side effects of lasers for surgery by means of temperature monitoring to control irrigation systems. In this study, we investigated the potential application of optical coherence tomography as a means of detecting bone dehydration status. We investigated the penetration depth of the OCT laser and its respective relation to the hydration status of bone. A deep-learning method was utilized to differentiate between different levels of water content in bone tissue (fresh/hydrated, dehydrated, and carbonized) based on the OCT images. The proposed model achieved an accuracy of 0.912 on an independent test set, demonstrating its ability to accurately predict the state of the bone considering these three conditions. We believe this method can potentially accelerate the detection of dehydration during laser surgery, improving the safety of using lasers with real-time feedback.
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spelling doaj.art-661824b27fdc48b7a886def3389d20a62023-11-07T10:20:51ZengEDP SciencesEPJ Web of Conferences2100-014X2023-01-012870902910.1051/epjconf/202328709029epjconf_eosam2023_09029Toward photothermal damage detection during laser osteotomy using optical coherence tomographyGrava Aikaterina0Hamidi Arsham1Gonzalez-Jimenez Alvaro2Bayhaqi Yakub A.3Navarini Alexander A.4Cattin Philippe C.5Canbaz Ferda6University of Basel, Department of Biomedical Engineering, Biomedical Laser and Optics Group (BLOG)University of Basel, Department of Biomedical Engineering, Biomedical Laser and Optics Group (BLOG)University of Basel, Department of Biomedical Engineering, Digital DermatologyUniversity of Basel, Department of Biomedical Engineering, Biomedical Laser and Optics Group (BLOG)University of Basel, Department of Biomedical Engineering, Digital DermatologyUniversity of Basel, Department of Biomedical Engineering, Center of medical Imaging Analysis & Navigation (CIAN)University of Basel, Department of Biomedical Engineering, Biomedical Laser and Optics Group (BLOG)Feedback systems have been utilized to reduce the possible thermal side effects of lasers for surgery by means of temperature monitoring to control irrigation systems. In this study, we investigated the potential application of optical coherence tomography as a means of detecting bone dehydration status. We investigated the penetration depth of the OCT laser and its respective relation to the hydration status of bone. A deep-learning method was utilized to differentiate between different levels of water content in bone tissue (fresh/hydrated, dehydrated, and carbonized) based on the OCT images. The proposed model achieved an accuracy of 0.912 on an independent test set, demonstrating its ability to accurately predict the state of the bone considering these three conditions. We believe this method can potentially accelerate the detection of dehydration during laser surgery, improving the safety of using lasers with real-time feedback.https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_09029.pdf
spellingShingle Grava Aikaterina
Hamidi Arsham
Gonzalez-Jimenez Alvaro
Bayhaqi Yakub A.
Navarini Alexander A.
Cattin Philippe C.
Canbaz Ferda
Toward photothermal damage detection during laser osteotomy using optical coherence tomography
EPJ Web of Conferences
title Toward photothermal damage detection during laser osteotomy using optical coherence tomography
title_full Toward photothermal damage detection during laser osteotomy using optical coherence tomography
title_fullStr Toward photothermal damage detection during laser osteotomy using optical coherence tomography
title_full_unstemmed Toward photothermal damage detection during laser osteotomy using optical coherence tomography
title_short Toward photothermal damage detection during laser osteotomy using optical coherence tomography
title_sort toward photothermal damage detection during laser osteotomy using optical coherence tomography
url https://www.epj-conferences.org/articles/epjconf/pdf/2023/13/epjconf_eosam2023_09029.pdf
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