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Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography
BACKGROUND: Optical coherence tomography (OCT) is an innovative imaging technique that generates high-resolution intracoronary images. In the last few years, the need for more precise analysis regarding coronary artery disease to achieve optimal treatment has made intravascular imaging an area of pr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327279/ https://www.ncbi.nlm.nih.gov/pubmed/30792831 http://dx.doi.org/10.1155/2018/1414076 |
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author | Pociask, Elżbieta Malinowski, Krzysztof Piotr Ślęzak, Magdalena Jaworek-Korjakowska, Joanna Wojakowski, Wojciech Roleder, Tomasz |
author_facet | Pociask, Elżbieta Malinowski, Krzysztof Piotr Ślęzak, Magdalena Jaworek-Korjakowska, Joanna Wojakowski, Wojciech Roleder, Tomasz |
author_sort | Pociask, Elżbieta |
collection | PubMed |
description | BACKGROUND: Optical coherence tomography (OCT) is an innovative imaging technique that generates high-resolution intracoronary images. In the last few years, the need for more precise analysis regarding coronary artery disease to achieve optimal treatment has made intravascular imaging an area of primary importance in interventional cardiology. One of the main challenges in OCT image analysis is the accurate detection of lumen which is significant for the further prognosis. METHOD: In this research, we present a new approach to the segmentation of lumen in OCT images. The proposed work is focused on designing an efficient automatic algorithm containing the following steps: preprocessing (artifacts removal: speckle noise, circular rings, and guide wire), conversion between polar and Cartesian coordinates, and segmentation algorithm. RESULTS: The implemented method was tasted on 667 OCT frames. The lumen border was extracted with a high correlation compared to the ground truth: 0.97 ICC (0.97–0.98). CONCLUSIONS: Proposed algorithm allows for fully automated lumen segmentation on optical coherence tomography images. This tool may be applied to automated quantitative lumen analysis. |
format | Online Article Text |
id | pubmed-6327279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63272792019-02-21 Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography Pociask, Elżbieta Malinowski, Krzysztof Piotr Ślęzak, Magdalena Jaworek-Korjakowska, Joanna Wojakowski, Wojciech Roleder, Tomasz J Healthc Eng Research Article BACKGROUND: Optical coherence tomography (OCT) is an innovative imaging technique that generates high-resolution intracoronary images. In the last few years, the need for more precise analysis regarding coronary artery disease to achieve optimal treatment has made intravascular imaging an area of primary importance in interventional cardiology. One of the main challenges in OCT image analysis is the accurate detection of lumen which is significant for the further prognosis. METHOD: In this research, we present a new approach to the segmentation of lumen in OCT images. The proposed work is focused on designing an efficient automatic algorithm containing the following steps: preprocessing (artifacts removal: speckle noise, circular rings, and guide wire), conversion between polar and Cartesian coordinates, and segmentation algorithm. RESULTS: The implemented method was tasted on 667 OCT frames. The lumen border was extracted with a high correlation compared to the ground truth: 0.97 ICC (0.97–0.98). CONCLUSIONS: Proposed algorithm allows for fully automated lumen segmentation on optical coherence tomography images. This tool may be applied to automated quantitative lumen analysis. Hindawi 2018-12-26 /pmc/articles/PMC6327279/ /pubmed/30792831 http://dx.doi.org/10.1155/2018/1414076 Text en Copyright © 2018 Elżbieta Pociask et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Pociask, Elżbieta Malinowski, Krzysztof Piotr Ślęzak, Magdalena Jaworek-Korjakowska, Joanna Wojakowski, Wojciech Roleder, Tomasz Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography |
title | Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography |
title_full | Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography |
title_fullStr | Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography |
title_full_unstemmed | Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography |
title_short | Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography |
title_sort | fully automated lumen segmentation method for intracoronary optical coherence tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327279/ https://www.ncbi.nlm.nih.gov/pubmed/30792831 http://dx.doi.org/10.1155/2018/1414076 |
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