Temporal Enhancement of 3D Echocardiography by Frame Reordering

Enhancement of 3D Information Acquisition from 2D Spatio-Temporal Image

In order to cope with the enormous amount of 3-D Spatio-Temporal Image data we have proposed a method to transform 3-D Spatio-Temporal Image into 2-D Spatio-Temporal Images to reduce processing time for 3-D information acquisition. In this paper, we will extend the camera motion to enhance our previous method for building 3-D information acquisition from urban street images. The creation of 2-D...

pseudo-increasing frame rates of echocardiography images using manifold learning

background: increasing frame rate is a challenging issue for better interpretation of medical images and diagnosis based on tracking the small transient motions of myocardium and valves in real time visualization. methods: in this paper, manifold learning algorithm is applied to extract the nonlinear embedded information about echocardiography images from the consecutive images in two dimension...

Introduction to 3D Echocardiography

Three-dimensional (3D) echocardiography has a long history with the first 3D-reconstruction of 2D images described in 1974 by Dekker et al. With their approach, the patient was scanned with a transducer attached to a mechanical arm that fed quadrant data to a computer mainframe. However, equipment such as this was impractical and images were unsuitable for clinical use. Over the subsequent deca...

Fixed Frame Temporal Pooling

Applications of unsupervised learning techniques to action recognition have proved highly competitive in comparison to supervised and hand-crafted approaches, despite not being designed to handle image processing problems. Many of these techniques are either based on biological models of cognition or have responses that correlate to those observed in biological systems. In this study we apply (...

3D Myocardial Contrast Echocardiography