6533b851fe1ef96bd12a9785

RESEARCH PRODUCT

Exponential Entropy Driven HUM on Knee MR Images

Roberto PirroneEdoardo ArdizzoneOrazio Gambino

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryEntropy Knee Magnetic resonance rf-inhomogeneityImage segmentationInformation theoryExponential functionHomomorphic filteringHumEntropy (information theory)SegmentationComputer visionArtificial intelligenceMr imagesbusinessMathematics

description

A very important artifact corrupting Magnetic Resonance Images is the RF inhomogeneity. This kind of artifact generates variations of illumination which trouble both direct examination by the doctor and segmentation algorithms. Even if homomorphic filtering approaches have been presented in literature, none of them has developed a measure to determine the cut-off frequency. In this work we present a measure based on information theory with a large experimental setup aimed to demonstrate the validity of our approach.

yearjournalcountryeditionlanguage
2007-02-072005 IEEE Engineering in Medicine and Biology 27th Annual Conference
https://doi.org/10.1109/iembs.2005.1616789