title: Semi-automatic detection of the left ventricular border.
abstract: Two semi-automatic methods for the detection of the left ventricular border in two-dimensional short axis echocardiographic images are presented and compared. In these methods, the left ventricular area variation curve is calculated during a complete cardiac cycle after the segmentation of several frames. This allows the evaluation of the cardiovascular dynamics and the identification of important clinical parameters. The algorithms are proposed as several independent modules. The results are validated through the comparison between the semi-automatic continuous boundaries and manuals boundaries sketched by a medical specialist.
authors.affiliation: Electrical Engineering Department, University of Brasília, DF 70910-900 Brazil. carminhamcr@yahoo.com.br
authors.forename: Maria
authors.initials: M
authors.lastname: do Carmo dos Reis
authors.forename: Adson F
authors.initials: AF
authors.lastname: da Rocha
authors.forename: Daniel F
authors.initials: DF
authors.lastname: Vasconcelos
authors.forename: Bruno L M
authors.initials: BL
authors.lastname: Espinoza
authors.forename: Francisco A
authors.initials: FA
authors.lastname: de O Nascimento
authors.forename: João L A
authors.initials: JL
authors.lastname: de Carvalho
authors.forename: Sauro
authors.initials: S
authors.lastname: Salomoni
authors.forename: Juliana F
authors.initials: JF
authors.lastname: Camapum
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004452:Echocardiography / Q000379:methods*; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique