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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Ardizzone, E., Pirrone, R., Gambino, O. (2005). Frequency Determined Homomorphic Unsharp Masking Algorithm on Knee MR Images. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_113
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DOI: https://doi.org/10.1007/11553595_113
Publisher Name: Springer, Berlin, Heidelberg
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