Automatic and Semi-automatic Analysis of the Extension of Myocardial Infarction in an Experimental Murine Model

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Esteves, T (Autor) Outra; Valente, M (Autor) Outra; Nascimento, DS (Autor) Outra; Perpetua Pinto do O (Autor) FEUP; Pedro Quelhas (Autor) FEUP

Ata de Conferência Internacional

Título: PATTERN RECOGNITION AND IMAGE ANALYSIS: 5TH IBERIAN CONFERENCE, IBPRIA 2011

Páginas: 151-158

5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Las Palmas, SPAIN, JUN 08-10, 2011

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-002-WVW

DOI: 10.1007/978-3-642-21257-4_19

Abstract (EN): Rodent models of myocardial infarction (MI) have been extensively used in biomedical research towards the implementation of novel regenerative therapies. Permanent ligation of the left anterior descending (LAD) coronary artery is a commonly used method for inducing MI both in rat and mouse. Post-mortem evaluation of the heart, particularly the MI extension assessment performed on histological sections, is a critical parameter for this experimental setting. MI extension, which is defined as the percentage of the left ventricle affected by the coronary occlusion, has to be estimated by identifying the infarcted-and the normal-tissue in each section. However, because it is a manual procedure it is time-consuming, arduous and prone to bias. Herein, we introduce semi-automatic and automatic approaches to perform segmentation which is then used to obtain the infarct extension measurement. Experimental validation is performed comparing the proposed approaches with manual annotation and a total error not exceeding 8% is reported in all cases.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8