| Title | Automatic and semi-automatic analysis of the extension of myocardial infarction in an experimental murine model |
| Publication Type | Book |
| Year of Publication | 2011 |
| Authors | Esteves, T, Valente, M, Nascimento, DS, Pinto-Do-Ó, P, Quelhas, P |
| Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. |
| Volume | 6669 LNCS |
| Number of Pages | 151 - 158 |
| City | Las Palmas de Gran Canaria |
| ISBN Number | 03029743 (ISSN); 9783642212567 (ISBN) |
| Keywords | Extension evaluations, Image analysis, Image segmentation, Infarct extension evaluation, k-means, Mammals, meanshift, otsu, Pattern recognition, region growing, Tissue, watershed |
| 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. © 2011 Springer-Verlag. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-79959927807&partnerID=40&md5=360bb21a8c1c3a5fdd394c647fcadbbc |
