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IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 13, NO. 4, JULY 2009 645 Novel Lossless fMRI Image Compression Based
 

Summary: IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 13, NO. 4, JULY 2009 645
Novel Lossless fMRI Image Compression Based
on Motion Compensation and Customized
Entropy Coding
Victor Sanchez, Student Member, IEEE, Panos Nasiopoulos, Member, IEEE,
and Rafeef Abugharbieh, Member, IEEE
Abstract--We recently proposed a method for lossless compres-
sion of 4-D medical images based on the advanced video coding
standard (H.264/AVC). In this paper, we present two major con-
tributions that enhance our previous work for compression of
functional MRI (fMRI) data: 1) a new multiframe motion com-
pensation process that employs 4-D search, variable-size block
matching, and bidirectional prediction; and 2) a new context-based
adaptive binary arithmetic coder designed for lossless compression
of the residual and motion vector data. We validate our method
on real fMRI sequences of various resolutions and compare the
performance to two state-of-the-art methods: 4D-JPEG2000 and
H.264/AVC. Quantitative results demonstrate that our proposed
technique significantly outperforms current state of the art with
an average compression ratio improvement of 13%.

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences