Feature Enhancement in Low Quality Images with Application to Echocardiography

Abstract

We propose a novel feature enhancement approach to enhance the quality of noisy images. It 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 data. Then, an approximation to the low frequency components of the sparse set of selected features is obtained using a fast surface interpolation algorithm. Finally, a non-linear postprocessing step is applied. Results of applying the method to echocardiographic sequences (2D+T) are presented. We show that the correction is consistent over time and does not introduce any artefacts. An evaluation protocol is proposed in the case of echocardiographic data and quantitative results are presented.

Acknowledgements

We are grateful to Dr. M. M. Parada and Dr. J. Declerck, from OMIA Ltd, and Dr. M. Robini, from CREATIS, for providing software used in part of this work. This work was supported by the EC-funded ADEQUATE project.