Title :
Exponential Entropy Driven HUM on Knee MR Images
Author :
Ardizzone, Edoardo ; Pirrone, Roberto ; Gambino, Orazio
Author_Institution :
Dipartimento di Ingegneria Informatica, Palermo Univ.
Abstract :
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
Keywords :
biomedical MRI; entropy; filtering theory; image segmentation; medical image processing; HUM; RF inhomogeneity; artifact; exponential entropy; homomorphic filtering; homomorphic unsharp masking; information theory; knee MR images; magnetic resonance images; segmentation algorithms; Cutoff frequency; Entropy; Filtering; Frequency measurement; Image segmentation; Knee; Lighting; Magnetic resonance; Magnetic separation; Radio frequency;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616789
