DocumentCode :
1069955
Title :
Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data
Author :
Sanchez, V. ; Abugharbieh, R. ; Nasiopoulos, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC
Volume :
28
Issue :
7
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
1062
Lastpage :
1072
Abstract :
We propose a novel symmetry-based technique for scalable lossless compression of 3D medical image data. The proposed method employs the 2D integer wavelet transform to decorrelate the data and an intraband prediction method to reduce the energy of the sub-bands by exploiting the anatomical symmetries typically present in structural medical images. A modified version of the embedded block coder with optimized truncation (EBCOT), tailored according to the characteristics of the data, encodes the residual data generated after prediction to provide resolution and quality scalability. Performance evaluations on a wide range of real 3D medical images show an average improvement of 15% in lossless compression ratios when compared to other state-of-the art lossless compression methods that also provide resolution and quality scalability including 3D-JPEG2000, JPEG2000, and H.264/AVC intra-coding.
Keywords :
data compression; decorrelation; image coding; image resolution; medical image processing; wavelet transforms; 2D integer wavelet transform; 3D medical image resolution; decorrelation method; embedded block coder; intraband prediction method; optimized truncation; symmetry-based scalable lossless data compression; Art; Biomedical imaging; Character generation; Decorrelation; Energy resolution; Image coding; Performance loss; Prediction methods; Scalability; Wavelet transforms; Integer wavelet transform; lossless compression; medical image compression; scalability; symmetry; Algorithms; Brain; Data Compression; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Spinal Cord; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2009.2012899
Filename :
4752751
Link To Document :
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