Semi-automatic detection of the left ventricular border.
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.
do Carmo dos Reis
Maria
M
Electrical Engineering Department, University of Brasília, DF 70910-900 Brazil. carminhamcr@yahoo.com.br
da Rocha
Adson F
AF
Vasconcelos
Daniel F
DF
Espinoza
Bruno L M
BL
de O Nascimento
Francisco A
FA
de Carvalho
João L A
JL
Salomoni
Sauro
S
Camapum
Juliana F
JF
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