Title :
Semi-automatic detection of the left ventricular border
Author :
Reis, Maria Do Carmo dos ; Rocha, Adson F da ; Vasconcelos, Daniel F. ; Espinoza, Bruno L.M. ; Nascimento, Francisco A.de O. ; de Carvalho, Joao L.A. ; Salomoni, Sauro ; Camapum, Juliana F.
Author_Institution :
Electrical Engineering Department, University of BrasÃ\xadlia, DF 70910-900 Brazil
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.
Keywords :
Biomedical imaging; Cardiology; Discrete wavelet transforms; Filters; Helium; Image segmentation; Medical diagnostic imaging; Motion detection; Motion estimation; Noise reduction; area variation; boundary detection; echocardiographic images; motion estimation; segmentation; Algorithms; Artificial Intelligence; Echocardiography; Heart Ventricles; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649129
