Title

Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map

Document Type

Conference Paper

Publication Date

8-2009

Publication Source

International Conference on Computational Science and Engineering

Abstract

Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at one shot even when we can omit the unavoidable hardware vibrations. Previous proposed methods in this field cannot fulfill the real-time requirement in our multiple camera medical imaging setting. In this paper, we propose a multi-resolution Bayesian risk minimization based method to fuse these chest cavity images. The validity and efficiency of our method are verified by our experiments on both out-of-focus medical images and regional motion blurred images. By choosing special kernel functions for the Pixon map and adopting uniform distribution as the prior probability, our method can be applied to the real-time medical imaging situations such as surgical operation monitoring.

Inclusive pages

1086-1091

ISBN/ISSN

9781424453344

Comments

Permission documentation on file.

Publisher

Institute of Electrical and Electronics Engineers

Peer Reviewed

yes


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