Frequency determined homomorphic unsharp masking algorithm on knee MR images

Authors:
Edoardo Ardizzone;Roberto Pirrone;Orazio Gambino
Affiliations:
Computer Science and Artificial Intelligence Laboratory, Universitá degli Studi di Palermo, Palermo, Italy;Computer Science and Artificial Intelligence Laboratory, Universitá degli Studi di Palermo, Palermo, Italy;Computer Science and Artificial Intelligence Laboratory, Universitá degli Studi di Palermo, Palermo, Italy
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

A very important artifact corrupting Magnetic Resonance (MR) Images is the RF inhomogeneity, also called Bias artifact. The visual effect produced by this kind of artifact is an illumination variation which afflicts this kind of medical images. In literature a lot of works oriented to the suppression of this artifact can be found. The approaches based on homomorphic filtering offer an easy way to perform bias correction but none of them can automatically determine the cut-off frequency. In this work we present a measure based on information theory in order to find the frequency mentioned above and this technique is applied to MR images of the knee which are hardly bias corrupted.