Title :
Compression of 3D MRI images based on symmetry in prediction-error field
Author :
Amraee, S. ; Karimi, N. ; Samavi, S. ; Shirani, S.
Author_Institution :
Department of Electrical and Computer Engineering, Isfahan University of Technology, Iran
Abstract :
Three dimensional MRI images which are power tools for diagnosis of many diseases require large storage space. A number of lossless compression schemes exist for this purpose. In this paper we propose a new approach for the compression of these images which exploits the inherent symmetry that exists in the 3D MRI images. A block matching routine is employed to work on the symmetrical characteristics of these images. Another type of block matching is also applied to eliminate the inter-slice temporal correlations. The obtained results outperform the existing standard compression techniques.
Keywords :
3D MRI; Medical image; compression; context modelling; lossless;
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona, Spain
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2011.6011897