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Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds

Chronic wounds, or wounds that are not healing properly, are a worldwide health problem that affect the global economy and population. Alongside with aging of the population, increasing obesity and diabetes patients, we can assume that costs of chronic wound healing will be even higher. Wound assess...

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Detalles Bibliográficos
Autores principales: Filko, Damir, Marijanović, Domagoj, Nyarko, Emmanuel Karlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703929/
https://www.ncbi.nlm.nih.gov/pubmed/34960402
http://dx.doi.org/10.3390/s21248308
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author Filko, Damir
Marijanović, Domagoj
Nyarko, Emmanuel Karlo
author_facet Filko, Damir
Marijanović, Domagoj
Nyarko, Emmanuel Karlo
author_sort Filko, Damir
collection PubMed
description Chronic wounds, or wounds that are not healing properly, are a worldwide health problem that affect the global economy and population. Alongside with aging of the population, increasing obesity and diabetes patients, we can assume that costs of chronic wound healing will be even higher. Wound assessment should be fast and accurate in order to reduce the possible complications, and therefore shorten the wound healing process. Contact methods often used by medical experts have drawbacks that are easily overcome by non-contact methods like image analysis, where wound analysis is fully or partially automated. This paper describes an automatic wound recording system build upon 7 DoF robot arm with attached RGB-D camera and high precision 3D scanner. The developed system presents a novel NBV algorithm that utilizes surface-based approach based on surface point density and discontinuity detection. The system was evaluated on multiple wounds located on medical models as well as on real patents recorded in clinical medical center.
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spelling pubmed-87039292021-12-25 Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds Filko, Damir Marijanović, Domagoj Nyarko, Emmanuel Karlo Sensors (Basel) Article Chronic wounds, or wounds that are not healing properly, are a worldwide health problem that affect the global economy and population. Alongside with aging of the population, increasing obesity and diabetes patients, we can assume that costs of chronic wound healing will be even higher. Wound assessment should be fast and accurate in order to reduce the possible complications, and therefore shorten the wound healing process. Contact methods often used by medical experts have drawbacks that are easily overcome by non-contact methods like image analysis, where wound analysis is fully or partially automated. This paper describes an automatic wound recording system build upon 7 DoF robot arm with attached RGB-D camera and high precision 3D scanner. The developed system presents a novel NBV algorithm that utilizes surface-based approach based on surface point density and discontinuity detection. The system was evaluated on multiple wounds located on medical models as well as on real patents recorded in clinical medical center. MDPI 2021-12-12 /pmc/articles/PMC8703929/ /pubmed/34960402 http://dx.doi.org/10.3390/s21248308 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Filko, Damir
Marijanović, Domagoj
Nyarko, Emmanuel Karlo
Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds
title Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds
title_full Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds
title_fullStr Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds
title_full_unstemmed Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds
title_short Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds
title_sort automatic robot-driven 3d reconstruction system for chronic wounds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703929/
https://www.ncbi.nlm.nih.gov/pubmed/34960402
http://dx.doi.org/10.3390/s21248308
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