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

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

218

Lastpage

221

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649129

Filename

4649129