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Automatic pattern classification of vascular tissues in optical coherence tomography

Grant number: 13/09922-8
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): October 01, 2013
Effective date (End): September 30, 2016
Field of knowledge:Engineering - Biomedical Engineering - Bioengineering
Principal Investigator:Marco Antonio Gutierrez
Grantee:Maysa Malfiza Garcia de Macedo
Home Institution: Instituto do Coração Professor Euryclides de Jesus Zerbini (INCOR). Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil

Abstract

The intravascular optical coherence tomography (IV-OCT) is an imaging modality in-vivo based on the introduction of an intravascular catheter for viewing the inner wall of blood vessels. The IV-OCT has many advantages over other modalities (especially when comparing with intravascular ultrasound), due to the excellent resolution of 10¼m to 20¼m. This resolution allows the visualization of tissues in a microscopic scale. The acquisition and analysis of cardiac images by OCT are recent and makes possible several new applications and the development of automatic techniques of computer vision and related areas. This project aims to create models representing the various tissues that compound the vascular wall and to develop computational tools that will allow a quantification of these tissues and plaques of calcium or lipid. The texture of the tissues and plaques, due to the high resolution of the image, will be used as a priori information for building the models. From the project results, it is expected a contribution for the development of new methods based on the OCT acquisition allowing the analysis of characteristics of heart disease.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MACEDO, MAYSA M. G.; GUIMARAES, WELINGSON V. N.; GALON, MICHELI Z.; TAKIMURA, CELSO K.; LEMOS, PEDRO A.; GUTIERREZ, MARCO ANTONIO. A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning. Computerized Medical Imaging and Graphics, v. 46, n. 2, SI, p. 237-248, DEC 2015. Web of Science Citations: 7.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.