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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Bourezak, R., Lamouche, G., & Cheriet, F. (2009). Artery wall extraction from intravascular oct images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5627 LNCS, pp. 792–801). Springer Verlag. https://doi.org/10.1007/978-3-642-02611-9_78
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