Title :
Mitral Valve Prolapse detection using landmark extraction from echocardiography sequences
Author :
Siyah Mansoory, Meysam ; Ahmadian, A. ; Mohammadi, A. Gorgian ; Farnia, P.
Author_Institution :
Dept. of Med. Phys. & Biomed. Eng., Tehran Univ. of Med. Sci., Tehran, Iran
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
The mitral valve is one of the four valves of the heart, whose function is to keep the blood flow in the physiological direction when the heart contracts. There is no satisfactory method allowing an automated assessment for Mitral Valve Prolapse (MVP) detection. In this paper an algorithm is proposed for detecting MVPs automatically from an echocardiography sequence. Our algorithm has two steps; first landmarks are extracted from the echocardiography sequence. Then landmarks are tracked in the whole frames of a sequence. In order to detect MVP and isolate it from a normal mitral motion, we extracted some features (such as maximum deviation of valve angle and spectral power ratio) from the motion pattern of a mitral valve and we gave these features to a SVM classifier. The results show that the mitral motion trajectory may have good discriminative features for detecting MVP (87% specificity and 84% sensitivity).
Keywords :
echocardiography; feature extraction; image classification; image motion analysis; image sequences; medical image processing; support vector machines; MVP detection; SVM classifier; echocardiography sequences; feature extraction; heart; landmark extraction; mitral motion trajectory; mitral valve prolapse detection; motion pattern; normal mitral motion; spectral power ratio; support vector machine; valve angle; Echocardiography; Feature extraction; Heart; Signal processing algorithms; Valves; Adult; Algorithms; Anatomic Landmarks; Echocardiography; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Male; Mitral Valve Prolapse; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346918