Szczegóły publikacji
Opis bibliograficzny
Design of a system for automatic vessel lumen segmentation in optical coherence tomography images based on active contour and binarization / Zofia Schneider, Joanna Fluder, Adam PIÓRKOWSKI // W: Advances in systems engineering : proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021 : December 14–16, Wrocław, Poland / eds. Leszek Borzemski, Henry Selvaraj, Jerzy Świątek. — Cham : Springer Nature Switzerland, cop. 2022. — (Lecture Notes in Networks and Systems ; ISSN 2367-3370 ; vol. 364). — ISBN: 978-3-030-92603-8; e-ISBN: 978-3-030-92604-5. — S. 378–387. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-12-11
Autorzy (3)
- AGHSchneider Zofia
- Fluder Joanna
- AGHPiórkowski Adam
Dane bibliometryczne
| ID BaDAP | 138245 |
|---|---|
| Data dodania do BaDAP | 2021-12-21 |
| DOI | 10.1007/978-3-030-92604-5_34 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Networks and Systems |
Abstract
Optical coherence tomography (OCT) is an imaging technique that uses near-infrared light to create high-resolution medical images. The most common application of OCT is imaging the retina and the inside of blood vessels. Analysis of intravascular OCT images provides a lot of valuable diagnostic information, such as the position of stent struts, the presence of calcifications or bifurcations, and the tissue thickness of the vessel wall. Therefore, there is a huge need to develop algorithms for automated analysis of cross-sectional OCT images. For such algorithms, the first step is segmentation of the vessel lumen. In this paper, the authors propose a fully automatic vessel lumen extraction technique using active contour, local thresholding and morphological operations. The algorithm was tested on a dataset containing IV-OCT data from 10 patients (1,134 images). Validation of the obtained results indicates the high efficiency of the presented method and its applicability as the first step of intravascular OCT image analysis.