Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553595_113 | ICIAP |
Keywords | Field | DocType |
corrupting magnetic resonance,mr image,homomorphic unsharp,illumination variation,knee mr image,medical image,bias correction,information theory,rf inhomogeneity,important artifact,bias artifact,cut-off frequency,magnetic resonance | Information theory,Unsharp masking,Homomorphic encryption,Computer vision,Masking (art),Pattern recognition,Computer science,Measure (mathematics),Filter (signal processing),Artificial intelligence,Luminance,Homomorphic filtering | Conference |
Volume | ISSN | ISBN |
3617 | 0302-9743 | 3-540-28869-4 |
Citations | PageRank | References |
2 | 0.40 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edoardo Ardizzone | 1 | 239 | 40.79 |
| Roberto Pirrone | 2 | 140 | 36.09 |
| Orazio Gambino | 3 | 56 | 11.37 |