The sequential changes in shape of left ventricle (LV), which are the result of cellular interactions and their levels of organizational complexity, in its long axis view during one cardiac cycle are obtained. The changes are presented in terms of shape descriptors by processing of images obtained from a normal subject and two patients with dilated left ventricular cardio-myopathy. These images...

In this paper we propose a novel approach to feature enhancement to enhance the quality of noisy images. Our approach is based on a phase-based feature detection algorithm, followed by sparse surface interpolation and subsequent nonlinear post processing. We first exploit the intensity-invariant property of phase-based acoustic feature detection to select a set of relevant image features in the...

1Department of Computer Science, College of Science, University of Baghdad, Iraq 2Department of Multimedia, Faculty of Computer Science and Information Technology, UPM, 43400 Selangor, Malaysia 3Department of Anaesthesiology, Institute Jantung Negara IJN hospital, Jalan Tun Razak 50400 Kuala Lumpur, Malaysia 4Department of Surgery, Heart and Lung Centre HUKM, National University of Malaysia, 56...

Echocardiography is essential to modern cardiology. However, human interpretation limits high throughput analysis, limiting echocardiography from reaching its full clinical and research potential for precision medicine. Deep learning is a cutting-edge machine-learning technique that has been useful in analyzing medical images but has not yet been widely applied to echocardiography, partly due t...

OBJECTIVES This study sought to assess both the feasibility and potential role of transthoracic three-dimensional echocardiography for the evaluation of adult patients with congenital heart disease. BACKGROUND The unrestricted views with depth perception provided by three-dimensional echocardiography with dynamic volume-rendered display may enhance visualization of cardiac structures and dete...

Today, echocardiography is an essential non-invasive diagnostic imaging tool used in clinics worldwide. However, the application of ultrasound to heart began only about 70 years ago. In early 1950s, Hertz and Edler described use for myocardial walls mitral valve diseases. Feigenbaum (1960s) expanded clinical M-mode echocardiography. The advent two-dimensional (2D) (1970s), spectral Doppler colo...

In order to achieve the classification of mitral regurgitation, a deep learning network VDS-UNET was designed automatically segment critical regions echocardiography with three sections apical two-chamber, three-chamber, and four-chamber. First, an expert-labeled dataset 153 echocardiographic videos 2183 images from 49 subjects constructed. Then, convolution layer in VGG16 used replace contract...

OBJECTIVES We sought to investigate the geometric changes of the mitral leaflets and annulus, clarify the maximum tenting site of the leaflets, and quantify the valve tenting in ischemic mitral regurgitation (MR) using three-dimensional (3D) echocardiography. BACKGROUND Although the understanding of the mechanisms of ischemic MR has advanced recently, the geometric changes of the mitral leafl...

Coronary Heart Disease is the single leading cause of death world-wide, with lack of early diagnosis being a key contributory factor. This disease can be diagnosed by measuring and scoring regional motion of the heart wall in echocardiography images of the left ventricle (LV) of the heart. We describe a completely automated and robust technique that detects diseased hearts based on automatic de...