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Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions

Smart laser technologies are desired that can accurately cut and characterize tissues, such as bone and muscle, with minimal thermal damage and fast healing. Using a long-pulsed laser with a 0.5–10 ms pulse width at a wavelength of 1.07 µm, we investigated the optimum laser parameters for producing...

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Autores principales: Nguendon Kenhagho, Hervé, Shevchik, Sergey, Saeidi, Fatemeh, Faivre, Neige, Meylan, Bastian, Rauter, Georg, Guzman, Raphael, Cattin, Philippe, Wasmer, Kilian, Zam, Azhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515417/
https://www.ncbi.nlm.nih.gov/pubmed/31022964
http://dx.doi.org/10.3390/ma12081338
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author Nguendon Kenhagho, Hervé
Shevchik, Sergey
Saeidi, Fatemeh
Faivre, Neige
Meylan, Bastian
Rauter, Georg
Guzman, Raphael
Cattin, Philippe
Wasmer, Kilian
Zam, Azhar
author_facet Nguendon Kenhagho, Hervé
Shevchik, Sergey
Saeidi, Fatemeh
Faivre, Neige
Meylan, Bastian
Rauter, Georg
Guzman, Raphael
Cattin, Philippe
Wasmer, Kilian
Zam, Azhar
author_sort Nguendon Kenhagho, Hervé
collection PubMed
description Smart laser technologies are desired that can accurately cut and characterize tissues, such as bone and muscle, with minimal thermal damage and fast healing. Using a long-pulsed laser with a 0.5–10 ms pulse width at a wavelength of 1.07 µm, we investigated the optimum laser parameters for producing craters with minimal thermal damage under both wet and dry conditions. In different tissues (bone and muscle), we analyzed craters of various morphologies, depths, and volumes. We used a two-way Analysis of Variance (ANOVA) test to investigate whether there are significant differences in the ablation efficiency in wet versus dry conditions at each level of the pulse energy. We found that bone and muscle tissue ablated under wet conditions produced fewer cracks and less thermal damage around the craters than under dry conditions. In contrast to muscle, the ablation efficiency of bone under wet conditions was not higher than under dry conditions. Tissue differentiation was carried out based on measured acoustic waves. A Principal Component Analysis of the measured acoustic waves and Mahalanobis distances were used to differentiate bone and muscle under wet conditions. Bone and muscle ablated in wet conditions demonstrated a classification error of less than 6.66% and 3.33%, when measured by a microphone and a fiber Bragg grating, respectively.
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spelling pubmed-65154172019-05-31 Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions Nguendon Kenhagho, Hervé Shevchik, Sergey Saeidi, Fatemeh Faivre, Neige Meylan, Bastian Rauter, Georg Guzman, Raphael Cattin, Philippe Wasmer, Kilian Zam, Azhar Materials (Basel) Article Smart laser technologies are desired that can accurately cut and characterize tissues, such as bone and muscle, with minimal thermal damage and fast healing. Using a long-pulsed laser with a 0.5–10 ms pulse width at a wavelength of 1.07 µm, we investigated the optimum laser parameters for producing craters with minimal thermal damage under both wet and dry conditions. In different tissues (bone and muscle), we analyzed craters of various morphologies, depths, and volumes. We used a two-way Analysis of Variance (ANOVA) test to investigate whether there are significant differences in the ablation efficiency in wet versus dry conditions at each level of the pulse energy. We found that bone and muscle tissue ablated under wet conditions produced fewer cracks and less thermal damage around the craters than under dry conditions. In contrast to muscle, the ablation efficiency of bone under wet conditions was not higher than under dry conditions. Tissue differentiation was carried out based on measured acoustic waves. A Principal Component Analysis of the measured acoustic waves and Mahalanobis distances were used to differentiate bone and muscle under wet conditions. Bone and muscle ablated in wet conditions demonstrated a classification error of less than 6.66% and 3.33%, when measured by a microphone and a fiber Bragg grating, respectively. MDPI 2019-04-24 /pmc/articles/PMC6515417/ /pubmed/31022964 http://dx.doi.org/10.3390/ma12081338 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nguendon Kenhagho, Hervé
Shevchik, Sergey
Saeidi, Fatemeh
Faivre, Neige
Meylan, Bastian
Rauter, Georg
Guzman, Raphael
Cattin, Philippe
Wasmer, Kilian
Zam, Azhar
Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
title Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
title_full Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
title_fullStr Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
title_full_unstemmed Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
title_short Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions
title_sort characterization of ablated bone and muscle for long-pulsed laser ablation in dry and wet conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515417/
https://www.ncbi.nlm.nih.gov/pubmed/31022964
http://dx.doi.org/10.3390/ma12081338
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