A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences

G. Cheimariotis; V. Koutkias; I. Chouvarda; K. Toutouzas; Y. S. Chatzizisis; A. Giannopoulos; M. Riga; A. Antoniadis; C. Doulaverakis; I. Tsampoulatidis; I. Kompatsiaris; C. Stefanadis; G. Giannoglou; N. Maglaveras

doi:10.1007/978-3-319-00846-2_93

A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences

G. Cheimariotis, V. Koutkias, I. Chouvarda, K. Toutouzas, Y. S. Chatzizisis, A. Giannopoulos, M. Riga, A. Antoniadis, C. Doulaverakis, I. Tsampoulatidis, I. Kompatsiaris, C. Stefanadis, G. Giannoglou, N. Maglaveras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Intracoronary optical coherence tomography (OCT) is increasingly being used for real-time visualization of coronary arteries aiming to help in the identification of highrisk atherosclerotic plaques associated with geometrical and morphological features of the arterial wall. This paper presents a framework towards the automatic detection of the inner wall of the coronary artery (lumen-endothelium border) in intracoronary OCT image sequences by employing a multistep image processing method. The major focus of this work was to address difficult cases that are frequently met in intracoronary OCT, e.g. images with small/big branches, multiple branches, blood presence, calcifications, artifacts, etc. We present each step employed and the results obtained both in qualitative and quantitative terms. The proposed segmentation algorithm has been proven very efficient in the majority of the examined cases.

Original language	English (US)
Title of host publication	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013
Publisher	Springer Verlag
Pages	376-379
Number of pages	4
ISBN (Print)	9783319008455
DOIs	https://doi.org/10.1007/978-3-319-00846-2_93
State	Published - 2014
Externally published	Yes
Event	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 - Seville, Spain Duration: Sep 25 2013 → Sep 28 2013

Publication series

Name	IFMBE Proceedings
Volume	41
ISSN (Print)	1680-0737

Other

Other	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Country	Spain
City	Seville
Period	9/25/13 → 9/28/13

Keywords

Automatic segmentation
Evaluation
Image processing
Intracoronary optical coherence tomography (OCT)
Lumen-endothelium border

ASJC Scopus subject areas

Bioengineering
Biomedical Engineering

Access to Document

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Cheimariotis, G., Koutkias, V., Chouvarda, I., Toutouzas, K., Chatzizisis, Y. S., Giannopoulos, A., Riga, M., Antoniadis, A., Doulaverakis, C., Tsampoulatidis, I., Kompatsiaris, I., Stefanadis, C., Giannoglou, G., & Maglaveras, N. (2014). A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences. In 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013 (pp. 376-379). (IFMBE Proceedings; Vol. 41). Springer Verlag. https://doi.org/10.1007/978-3-319-00846-2_93

A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences. / Cheimariotis, G.; Koutkias, V.; Chouvarda, I.; Toutouzas, K.; Chatzizisis, Y. S.; Giannopoulos, A.; Riga, M.; Antoniadis, A.; Doulaverakis, C.; Tsampoulatidis, I.; Kompatsiaris, I.; Stefanadis, C.; Giannoglou, G.; Maglaveras, N.

13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013. Springer Verlag, 2014. p. 376-379 (IFMBE Proceedings; Vol. 41).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cheimariotis, G, Koutkias, V, Chouvarda, I, Toutouzas, K, Chatzizisis, YS, Giannopoulos, A, Riga, M, Antoniadis, A, Doulaverakis, C, Tsampoulatidis, I, Kompatsiaris, I, Stefanadis, C, Giannoglou, G & Maglaveras, N 2014, A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences. in 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013. IFMBE Proceedings, vol. 41, Springer Verlag, pp. 376-379, 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013, Seville, Spain, 9/25/13. https://doi.org/10.1007/978-3-319-00846-2_93

Cheimariotis G, Koutkias V, Chouvarda I, Toutouzas K, Chatzizisis YS, Giannopoulos A et al. A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences. In 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013. Springer Verlag. 2014. p. 376-379. (IFMBE Proceedings). https://doi.org/10.1007/978-3-319-00846-2_93

Cheimariotis, G. ; Koutkias, V. ; Chouvarda, I. ; Toutouzas, K. ; Chatzizisis, Y. S. ; Giannopoulos, A. ; Riga, M. ; Antoniadis, A. ; Doulaverakis, C. ; Tsampoulatidis, I. ; Kompatsiaris, I. ; Stefanadis, C. ; Giannoglou, G. ; Maglaveras, N. / A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences. 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013. Springer Verlag, 2014. pp. 376-379 (IFMBE Proceedings).

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title = "A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences",

abstract = "Intracoronary optical coherence tomography (OCT) is increasingly being used for real-time visualization of coronary arteries aiming to help in the identification of highrisk atherosclerotic plaques associated with geometrical and morphological features of the arterial wall. This paper presents a framework towards the automatic detection of the inner wall of the coronary artery (lumen-endothelium border) in intracoronary OCT image sequences by employing a multistep image processing method. The major focus of this work was to address difficult cases that are frequently met in intracoronary OCT, e.g. images with small/big branches, multiple branches, blood presence, calcifications, artifacts, etc. We present each step employed and the results obtained both in qualitative and quantitative terms. The proposed segmentation algorithm has been proven very efficient in the majority of the examined cases.",

keywords = "Automatic segmentation, Evaluation, Image processing, Intracoronary optical coherence tomography (OCT), Lumen-endothelium border",

author = "G. Cheimariotis and V. Koutkias and I. Chouvarda and K. Toutouzas and Chatzizisis, {Y. S.} and A. Giannopoulos and M. Riga and A. Antoniadis and C. Doulaverakis and I. Tsampoulatidis and I. Kompatsiaris and C. Stefanadis and G. Giannoglou and N. Maglaveras",

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doi = "10.1007/978-3-319-00846-2_93",

language = "English (US)",

isbn = "9783319008455",

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AU - Cheimariotis, G.

AU - Koutkias, V.

AU - Chouvarda, I.

AU - Toutouzas, K.

AU - Chatzizisis, Y. S.

AU - Giannopoulos, A.

AU - Riga, M.

AU - Antoniadis, A.

AU - Doulaverakis, C.

AU - Tsampoulatidis, I.

AU - Kompatsiaris, I.

AU - Stefanadis, C.

AU - Giannoglou, G.

AU - Maglaveras, N.

PY - 2014

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N2 - Intracoronary optical coherence tomography (OCT) is increasingly being used for real-time visualization of coronary arteries aiming to help in the identification of highrisk atherosclerotic plaques associated with geometrical and morphological features of the arterial wall. This paper presents a framework towards the automatic detection of the inner wall of the coronary artery (lumen-endothelium border) in intracoronary OCT image sequences by employing a multistep image processing method. The major focus of this work was to address difficult cases that are frequently met in intracoronary OCT, e.g. images with small/big branches, multiple branches, blood presence, calcifications, artifacts, etc. We present each step employed and the results obtained both in qualitative and quantitative terms. The proposed segmentation algorithm has been proven very efficient in the majority of the examined cases.

AB - Intracoronary optical coherence tomography (OCT) is increasingly being used for real-time visualization of coronary arteries aiming to help in the identification of highrisk atherosclerotic plaques associated with geometrical and morphological features of the arterial wall. This paper presents a framework towards the automatic detection of the inner wall of the coronary artery (lumen-endothelium border) in intracoronary OCT image sequences by employing a multistep image processing method. The major focus of this work was to address difficult cases that are frequently met in intracoronary OCT, e.g. images with small/big branches, multiple branches, blood presence, calcifications, artifacts, etc. We present each step employed and the results obtained both in qualitative and quantitative terms. The proposed segmentation algorithm has been proven very efficient in the majority of the examined cases.

KW - Automatic segmentation

KW - Evaluation

KW - Image processing

KW - Intracoronary optical coherence tomography (OCT)

KW - Lumen-endothelium border

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BT - 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013 - MEDICON 2013

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ER -

A framework for automatic detection of lumen-endothelium border in intracoronary OCT image sequences

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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