DocumentCode :
2468122
Title :
Model-based, knowledge-based epicardial boundary detector
Author :
Montilla, G. ; Roux, C. ; Barrios, V. ; Torrealba, V. ; Rangel, N. ; Subacius, V. ; Miliani, L. ; Vasquez, C.
Author_Institution :
Centro de Investigaciones Medicas y Biotecnologicas, Univ. de Carabobo, Valencia, Venezuela
fYear :
1993
fDate :
5-8 Sep 1993
Firstpage :
205
Lastpage :
208
Abstract :
A method was developed to detect the ventricle wall for the parasternal short axis view in two-dimensional echocardiography. The ventricular shape is modeled with a very simple parametric closed curve: an ellipse defined by four parameters. A genetic algorithm (GA) guides the elliptical shape and its position to find an optimum result. It minimizes one border dependent function, obtained after sampling 56 points in the ellipse. These points are located at the septum region (19) and at the ventricular posterior wall (37). The obtained solution is considered excellent as a first approximation to the real border. Then a second search complements the final solution. The ventricular shape is followed along one image sequence, basing the search space on the solutions given by the previous image. Medical knowledge about the cardiac structure and the image acquisition process is added to evaluate the function
Keywords :
echocardiography; edge detection; medical image processing; 2D echocardiography; cardiac structure; ellipse defined by 4 parameters; elliptical shape guiding; genetic algorithm; image acquisition process; image sequence; knowledge-based epicardial boundary detector; medical diagnostic imaging; medical knowledge; model-based epicardial boundary detector; parasternal short axis view; ventricle wall detection; ventricular shape model; very simple parametric closed curve; Biomedical imaging; Cost function; Detectors; Echocardiography; Equations; Genetic algorithms; Image quality; Image recognition; Image segmentation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
Type :
conf
DOI :
10.1109/CIC.1993.378468
Filename :
378468
Link To Document :
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