Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information
The fundus of the eye is the only part of the human body that allows a direct non-invasive observation of the circulatory system. Retinal vascular tortuosity presents a valuable potential for diagnostic and treatment purposes of relevant vascular and systemic diseases. This work presents a computati...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Proceedings |
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| Online Access: | https://www.mdpi.com/2504-3900/54/1/32 |
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| author | Lucía Ramos Jorge Novo José Rouco Stéphanie Romeo María D. Álvarez Marcos Ortega |
| author_facet | Lucía Ramos Jorge Novo José Rouco Stéphanie Romeo María D. Álvarez Marcos Ortega |
| author_sort | Lucía Ramos |
| collection | DOAJ |
| description | The fundus of the eye is the only part of the human body that allows a direct non-invasive observation of the circulatory system. Retinal vascular tortuosity presents a valuable potential for diagnostic and treatment purposes of relevant vascular and systemic diseases. This work presents a computational metric for the tortuosity characterization that combines mathematical representations of the vessel segments with anatomical properties of the fundus image such as the vessel caliber, the distance to the optic disc, the distance to the fovea and the distinction between arteries and veins. The evaluation of the prognostic performance shows that the incorporation of the domain-related information allows a reliable characterization of the retinal vascular tortuosity that provides a better representation of the expert perception. |
| first_indexed | 2024-03-10T17:04:29Z |
| format | Article |
| id | doaj.art-01884f91f0a24cb892742a3c659916cc |
| institution | Directory Open Access Journal |
| issn | 2504-3900 |
| language | English |
| last_indexed | 2024-03-10T17:04:29Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj.art-01884f91f0a24cb892742a3c659916cc2023-11-20T10:51:06ZengMDPI AGProceedings2504-39002020-08-015413210.3390/proceedings2020054032Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related InformationLucía Ramos0Jorge Novo1José Rouco2Stéphanie Romeo3María D. Álvarez4Marcos Ortega5Centro de Investigación CITIC, Universidade da Coruña, 15071 A Coruña, SpainCentro de Investigación CITIC, Universidade da Coruña, 15071 A Coruña, SpainCentro de Investigación CITIC, Universidade da Coruña, 15071 A Coruña, SpainServizo de Oftalmoloxía, Complexo Hospitalario Universitario de Ferrol, Ferrol, 15045 A Coruña, SpainServizo de Oftalmoloxía, Complexo Hospitalario Universitario de Ferrol, Ferrol, 15045 A Coruña, SpainCentro de Investigación CITIC, Universidade da Coruña, 15071 A Coruña, SpainThe fundus of the eye is the only part of the human body that allows a direct non-invasive observation of the circulatory system. Retinal vascular tortuosity presents a valuable potential for diagnostic and treatment purposes of relevant vascular and systemic diseases. This work presents a computational metric for the tortuosity characterization that combines mathematical representations of the vessel segments with anatomical properties of the fundus image such as the vessel caliber, the distance to the optic disc, the distance to the fovea and the distinction between arteries and veins. The evaluation of the prognostic performance shows that the incorporation of the domain-related information allows a reliable characterization of the retinal vascular tortuosity that provides a better representation of the expert perception.https://www.mdpi.com/2504-3900/54/1/32retinal circulationvascular tortuosityfundus imagescomputer-aided diagnosisimage analysisclinical knowledge |
| spellingShingle | Lucía Ramos Jorge Novo José Rouco Stéphanie Romeo María D. Álvarez Marcos Ortega Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information Proceedings retinal circulation vascular tortuosity fundus images computer-aided diagnosis image analysis clinical knowledge |
| title | Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information |
| title_full | Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information |
| title_fullStr | Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information |
| title_full_unstemmed | Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information |
| title_short | Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information |
| title_sort | fully automatic retinal vascular tortuosity assessment integrating domain related information |
| topic | retinal circulation vascular tortuosity fundus images computer-aided diagnosis image analysis clinical knowledge |
| url | https://www.mdpi.com/2504-3900/54/1/32 |
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