Intelligent Processing of Medical Images in the Wavelet Domain

Authors:
Lena Costaridou;Spyros Skiadopoulos;Philippos Sakellaropoulos;George Panayiotakis
Affiliations:
Department of Medical Physics, School of Medicine, University of Patras, 265 00 Patras, Greece;Department of Medical Physics, School of Medicine, University of Patras, 265 00 Patras, Greece;Department of Medical Physics, School of Medicine, University of Patras, 265 00 Patras, Greece;Department of Medical Physics, School of Medicine, University of Patras, 265 00 Patras, Greece
Venue:
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Year:
2007

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Abstract

Some of the major aspects of computer vision systems in medical imaging involving wavelet analysis are reviewed in this chapter. Initially, key concepts of wavelet decomposition theory are defined, focusing on the overcomplete discrete dyadic wavelet transform, suitable for image quality preserving analysis. Next, basic principles underlying methods such as (i) wavelet coefficient manipulations involved in image denoising and enhancement, and (ii) wavelet feature extraction involved in image segmentation and classification tasks are highlighted. Finally, application examples corresponding to the above mentioned methods are provided for various medical imaging modalities with emphasis on mammographic imaging.