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Summary: 1062 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 28, NO. 7, JULY 2009
Symmetry-Based Scalable Lossless Compression
of 3D Medical Image Data
V. Sanchez*, Student Member, IEEE, R. Abugharbieh, Member, IEEE, and P. Nasiopoulos, Member, IEEE
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 predic-
tion 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.
Index Terms--Integer wavelet transform, lossless compression,
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