Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography
Joint Authors
Jaworek-Korjakowska, Joanna
Pociask, Elżbieta
Malinowski, Krzysztof Piotr
Roleder, Tomasz
Ślęzak, Magdalena
Wojakowski, Wojciech
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Pociask, Elżbieta& Malinowski, Krzysztof Piotr& Ślęzak, Magdalena& Jaworek-Korjakowska, Joanna& Wojakowski, Wojciech& Roleder, Tomasz. 2018. Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1186915
Modern Language Association (MLA)
Pociask, Elżbieta…[et al.]. Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography. Journal of Healthcare Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1186915
American Medical Association (AMA)
Pociask, Elżbieta& Malinowski, Krzysztof Piotr& Ślęzak, Magdalena& Jaworek-Korjakowska, Joanna& Wojakowski, Wojciech& Roleder, Tomasz. Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1186915
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186915