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Proceedings Paper

An automatic labeling bifurcation method for intracoronary optical coherence tomography images
Author(s): Maysa M. G. Macedo; Celso K. Takimura; Pedro A. Lemos M.D.; Marco A. Gutierrez
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Paper Abstract

Vessel branchings are critical vascular locations from the clinical point of view. In these sites, the arterial hemodynamic plays a relevant role in the progression of atherosclerosis, an important vascular pathology. In this paper, a fully automatic approach for the bifurcation classification in human Intravascular Optical Coherence Tomography (IV-OCT) sequences is introduced. Given the lumen contours, the method is capable of labeling the bifurcation slices. A geometric feature extraction was performed and the Forward Regression Orthogonal Least Squares method (FROLS) was applied to analyze the best features and to determine the appropriated weights in a binary classifier. A cross-validation scheme is applied in order to evaluate the performance of the classification approach and the results have shown a sensitivity of 86% and specificity of 92% to FROLS.

Paper Details

Date Published: 17 March 2015
PDF: 7 pages
Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94170S (17 March 2015); doi: 10.1117/12.2082063
Show Author Affiliations
Maysa M. G. Macedo, Univ. de São Paulo (Brazil)
Celso K. Takimura, Univ. de São Paulo (Brazil)
Pedro A. Lemos M.D., Univ. de São Paulo (Brazil)
Marco A. Gutierrez, Univ. de São Paulo (Brazil)

Published in SPIE Proceedings Vol. 9417:
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Robert C. Molthen, Editor(s)

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