Abstract
In this article, we present a new method to extract internal and external borders (intimal-adventitial) of arteries from Optical Coherence Tomography (OCT) images. The method is based on A-scan segmentation. First, the distribution of the grey level values on every A-scan is analyzed separately using a sliding window to approximate a single-lobe distribution. Our hypothesis is that the position of the arterial tissue corresponds to the window which exhibits the largest single-lobe distribution. Once all the tissue is extracted from the image, every segmented A-scan position is corrected using a block of neighbouring segmented A-scans. Experimental results show that the proposed method is accurate and robust to extract arterial tissue.
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References
NASCET: Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade stenosis. North American Symptomatic Carotid Endarterectomy Trial Collaborators. New England Journal of Medecine 325, 445–453 (1991)
ACAS: Endarterectomy for asymptomatic carotid artery stenosis. Journal of the American Association 273, 1421–1428 (1995)
Prati, F., Cera, M., Fouad, T., Ramazzotti, V.: OCT: plaque morphology in the clinical setting. Optical Coherence Tomography in Cardiovascular Research, 71–76 (2007)
Yabushita, H., Bouma, B.E., Houser, S.L., Aretz, H.T., Jang, I.-K., Schlendorf, K.H., Kauffman, C.R., Shishkov, M., Kang, D.-H., Halpern, E.F., Tearney, G.J.: Characterization of Human Atherosclerosis by Optical Coherence Tomography. Journal of the american heart association 106, 1640–1645 (2002)
Raffel, C., Tearney, G., Bouma, B., Jang, I.: OCT imaging of vulnerable plaque: the Massachusetts’ General Hospital experience. In: Optical Coherence Tomography in Cardiovascular Research, pp. 121–131 (2007)
Brezinski, M.: Digital image processing for speckle reduction, enhancement, and segmentation of Optical Coherence Tomography (OCT) image. In: Optical Coherence Tomography principles and application, pp. 305–329 (2006)
Unal, G., Lankton, S., Carlier, S., Slabaugh, G., Chen, Y.: Fusion of IVUS and Through Semi-Automatic Registration. In: International Conference on Medical Image Computing and Computer Assisted Intervention (2006)
Kim, J., Miller, D.T., Kim, E., Oh, S., Oh, J., Milner, T.E.: Optical coherence tomography speckle reduction by a partially spatially coherent source. Journal of Biomedical Optics 10(6), 64034 (2005)
Bisaillon, C.-E., Lanthier, M.-M., Dufour, M., Lamouche, G.: Durable Coronary Phantoms for Optical Coherence Tomography. In: Proceedings of SPIE, vol. 7161D (2009)
Sobel, I., Feldman, G.: A 3x3 isotropic gradient operator for image processing. Never published but presented at a talk at the Stanford Artificial Project (1968)
Canny, J.: A Computational Approach To Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8, 679–714 (1986)
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Bourezak, R., Lamouche, G., Cheriet, F. (2009). Artery Wall Extraction from Intravascular OCT Images. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_78
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DOI: https://doi.org/10.1007/978-3-642-02611-9_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02610-2
Online ISBN: 978-3-642-02611-9
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