| Texto completo | |
| Autor(es): |
Macedo, Maysa M. G.
;
Guimaraes, Welingson V. N.
;
Galon, Micheli Z.
;
Takimura, Celso K.
;
Lemos, Pedro A.
;
Gutierrez, Marco Antonio
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Computerized Medical Imaging and Graphics; v. 46, p. 12-pg., 2015-12-01. |
| Resumo | |
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 mu m. Recent studies in IV-OCT have demonstrated the importance of the bifurcation regions. Therefore, the development of an automated tool to classify hundreds of coronary OCT frames as bifurcation or nonbifurcation can be an important step to improve automated methods for atherosclerotic plaques quantification, stent analysis and co-registration between different modalities. This paper describes a fully automated method to identify IV-OCT frames in bifurcation regions. The method is divided into lumen detection; feature extraction; and classification, providing a lumen area quantification, geometrical features of the cross-sectional lumen and labeled slices. This classification method is a combination of supervised machine learning algorithms and feature selection using orthogonal least squares methods. Training and tests were performed in sets with a maximum of 1460 human coronary OCT frames. The lumen segmentation achieved a mean difference of lumen area of 0.11 mm(2) compared with manual segmentation, and the AdaBoost classifier presented the best result reaching a F-measure score of 97.5% using 104 features. (C) 2015 Elsevier Ltd. All rights reserved. (AU) | |
| Processo FAPESP: | 13/09922-8 - Classificação automática de tecidos vasculares em imagens de tomografia por coerência óptica |
| Beneficiário: | Maysa Malfiza Garcia de Macedo |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias |
| Beneficiário: | Roberto Marcondes Cesar Junior |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |