Title :
Cardiac Structure Recognition in Ultrasound Images
Author :
De Siqueira, Mozart Lemos ; Muller, Daniel Nehme ; Navaux, Philippe Olvier Alexandre
Author_Institution :
Fed. Univ. of Rio Grande do Sul, Rio Grande
Abstract :
The paper presents a research on detection of cardiac structures in echocardiography gray images from fetal hearts. Pattern recognition and a density probability function of scales of gray is used for search cardiac structures and then compared with pattern structures previously stored. The Bhattacharyya coefficient is used in order to obtain the similarity to define the choice of the structures of interest. The method uses also texture features to isolate the region of interest inside the ultrasound image to improve the results and performance. The prototype developed to evaluate the method and some validated results are presented.
Keywords :
echocardiography; medical image processing; probability; ultrasonic imaging; Bhattacharyya coefficient; cardiac structure recognition; density probability function; echocardiography gray images; fetal hearts; pattern recognition; ultrasound images; Biomedical imaging; Cardiac disease; Echocardiography; Fetus; Image processing; Image recognition; Medical diagnostic imaging; Pattern recognition; Prototypes; Ultrasonic imaging; Bhattacharyya coefficient; Fetal cardiology; Medical imaging; Texture feature; Ultrasound;
Conference_Titel :
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location :
Maribor
Print_ISBN :
978-961-248-029-5
Electronic_ISBN :
978-961-248-029-5
DOI :
10.1109/IWSSIP.2007.4381141
