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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/24/8308 |
| _version_ | 1797500879353413632 |
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| author | Damir Filko Domagoj Marijanović Emmanuel Karlo Nyarko |
| author_facet | Damir Filko Domagoj Marijanović Emmanuel Karlo Nyarko |
| author_sort | Damir Filko |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T03:10:12Z |
| format | Article |
| id | doaj.art-f9dd3014e6314ed89fb27452563df6ed |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:10:12Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f9dd3014e6314ed89fb27452563df6ed2023-11-23T10:29:39ZengMDPI AGSensors1424-82202021-12-012124830810.3390/s21248308Automatic Robot-Driven 3D Reconstruction System for Chronic WoundsDamir Filko0Domagoj Marijanović1Emmanuel Karlo Nyarko2Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, HR-31000 Osijek, CroatiaFaculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, HR-31000 Osijek, CroatiaFaculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, HR-31000 Osijek, CroatiaChronic 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.https://www.mdpi.com/1424-8220/21/24/8308chronic wounds3D reconstructionautomaticrobotnext best view |
| spellingShingle | Damir Filko Domagoj Marijanović Emmanuel Karlo Nyarko Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds Sensors chronic wounds 3D reconstruction automatic robot next best view |
| 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 | chronic wounds 3D reconstruction automatic robot next best view |
| url | https://www.mdpi.com/1424-8220/21/24/8308 |
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