Output details
11 - Computer Science and Informatics
University of Warwick
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Output 0 of 0 in the submission
Article title
Novel lossless fMRI image compression based on motion compensation and customized entropy coding
Type
D - Journal article
Title of journal
IEEE Transactions on Information Technology in Biomedicine
Article number
-
Volume number
13
Issue number
4
First page of article
645
ISSN of journal
1089-7771
Year of publication
2009
Number of additional authors
2
Additional information
<26> This paper in IEEE TITB, which publishes high-quality global IT advances in medicine/biology, presents a novel coding method for fMRI data using 4-D motion compensation that outperforms JPEG2000-based coding and H.264/AVC by 10%. The conference version of this paper was a Best Paper finalist at ICIP 2008. Significantly, this research is being used by Nguyen (NU Singapore) for the visualisation of large medical volume data, by Knezovic (Zagreb) for efficient compression of medical image data, and by Chan (Hong Kong Poly) as the foundation for the design of H.264/AVC-based coding techniques for 12-bit CT images.
Interdisciplinary
-
Cross-referral requested
-
Research group
M - Methodologies and Applications
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
