Paper Info
Title
Automatic and semi-automatic analysis of the extension of myocardial infarction in an experimental Murine model
Abstract
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.
Year
DOI
Venue
2011
10.1007/978-3-642-21257-4_19
IbPRIA
Keywords
Field
DocType
experimental murine model,mi extension,myocardial infarction,coronary occlusion,infarct extension measurement,coronary artery,experimental setting,experimental validation,semi-automatic analysis,left ventricle,mi extension assessment,left anterior,manual annotation,image segmentation,region growing,watershed,k means
Artery,Myocardial infarction,Computer science,Image segmentation,Region growing,Ventricle,Artificial intelligence,Ligation,Pattern recognition,Segmentation,Internal medicine,Cardiology,Coronary occlusion
Conference
Volume
ISSN
Citations 
6669
0302-9743
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Tiago Esteves171.98
Mariana Valente200.34
Diana S. Nascimento300.34
Perpétua Pinto-do-Ó400.34
Pedro Quelhas526121.51