title: Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images.
abstract: Coronary Artery Disease (CAD), caused by the buildup of plaque on the inside of the coronary arteries, has a high mortality rate. To efficiently detect this condition from echocardiography images, with lesser inter-observer variability and visual interpretation errors, computer based data mining techniques may be exploited. We have developed and presented one such technique in this paper for the classification of normal and CAD affected cases. A multitude of grayscale features (fractal dimension, entropies based on the higher order spectra, features based on image texture and local binary patterns, and wavelet based features) were extracted from echocardiography images belonging to a huge database of 400 normal cases and 400 CAD patients. Only the features that had good discriminating capability were selected using t-test. Several combinations of the resultant significant features were used to evaluate many supervised classifiers to find the combination that presents a good accuracy. We observed that the Gaussian Mixture Model (GMM) classifier trained with a feature subset made up of nine significant features presented the highest accuracy, sensitivity, specificity, and positive predictive value of 100%. We have also developed a novel, highly discriminative HeartIndex, which is a single number that is calculated from the combination of the features, in order to objectively classify the images from either of the two classes. Such an index allows for an easier implementation of the technique for automated CAD detection in the computers in hospitals and clinics.
authors: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Malaysia.
authors: U Rajendra
authors: UR
authors: Acharya
authors: S Vinitha
authors: SV
authors: Sree
authors: M
authors: M
authors: Muthu Rama Krishnan
authors: N
authors: N
authors: Krishnananda
authors: Shetty
authors: S
authors: Ranjan
authors: Pai
authors: P
authors: Umesh
authors: Jasjit S
authors: JS
authors: Suri
mesh_terms: D001331:Automation; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D004452:Echocardiography; D017709:Fractals; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans
keywords: Classification; Coronary artery disease; Feature extraction; Gaussian mixture model