DocumentCode :
1951203
Title :
An edge-based prediction approach for medical image compression
Author :
Qiusha Min ; Sadleir, Robert J. T.
Author_Institution :
Sch. of Electron. Eng., Dublin City Univ., Dublin, Ireland
fYear :
2012
fDate :
17-19 Dec. 2012
Firstpage :
717
Lastpage :
722
Abstract :
The types of edges found in volumetric medical image data are typically smooth due to a phenomenon known as the Partial Volume Effect (PVE). These smooth edges are very different to the sharp edges typically found in real world images. Consequently, it is not appropriate to use conventional edge-based prediction schemes with medical image data. This paper proposes a novel edge-based prediction scheme that is optimised for use with the types of edges associated with the PVE. This technique exploits prior anatomical knowledge and the characteristics of the PVE regions to accurately predict unknown voxel data. Our experimental results show that the performance of this technique in edge regions is significantly better than previously documented edge-based prediction techniques. We also show that the inclusion of our proposed technique in a standard compression scheme improves the overall level of compression that can be achieved.
Keywords :
data compression; image coding; medical image processing; PVE; documented edge-based prediction techniques; edge-based prediction schemes; medical image compression; medical image data; partial volume effect; unknown voxel data; volumetric medical image data; edge-based prediction; lossless compression; medical image compression; partial volume effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
Type :
conf
DOI :
10.1109/IECBES.2012.6498131
Filename :
6498131
Link To Document :
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