An automatic labeling bifurcation method for intracoronary optical coherence tomography images

Maysa M. G. Macedo; Celso K. Takimura; Pedro A. Lemos M.D.; Marco A. Gutierrez

doi:10.1117/12.2082063

17 March 2015 An automatic labeling bifurcation method for intracoronary optical coherence tomography images

Maysa M. G. Macedo, Celso K. Takimura, Pedro A. Lemos M.D., Marco A. Gutierrez

Proceedings Volume 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging; 94170S (2015) https://doi.org/10.1117/12.2082063
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

Citation Download Citation

Maysa M. G. Macedo, Celso K. Takimura, Pedro A. Lemos M.D., and Marco A. Gutierrez "An automatic labeling bifurcation method for intracoronary optical coherence tomography images", Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94170S (17 March 2015); https://doi.org/10.1117/12.2082063

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