The Library
3-D scalable medical image compression with optimized volume of interest coding
Tools
Sanchez Silva, Victor, Abugharbieh, Rafeef and Nasiopoulos, Panos (2010) 3-D scalable medical image compression with optimized volume of interest coding. IEEE Transactions on Medical Imaging, 29 (10). pp. 1808-1820. doi:10.1109/TMI.2010.2052628 ISSN 0278-0062.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1109/TMI.2010.2052628
Abstract
We present a novel 3-D scalable compression method for medical images with optimized volume of interest (VOI) coding. The method is presented within the framework of interactive telemedicine applications, where different remote clients may access the compressed 3-D medical imaging data stored on a central server and request the transmission of different VOIs from an initial lossy to a final lossless representation. The method employs the 3-D integer wavelet transform and a modified EBCOT with 3-D contexts to create a scalable bit-stream. Optimized VOI coding is attained by an optimization technique that reorders the output bit-stream after encoding, so that those bits belonging to a VOI are decoded at the highest quality possible at any bit-rate, while allowing for the decoding of background information with peripherally increasing quality around the VOI. The bit-stream reordering procedure is based on a weighting model that incorporates the position of the VOI and the mean energy of the wavelet coefficients. The background information with peripherally increasing quality around the VOI allows for placement of the VOI into the context of the 3-D image. Performance evaluations based on real 3-D medical imaging data showed that the proposed method achieves a higher reconstruction quality, in terms of the peak signal-to-noise ratio, than that achieved by 3D-JPEG2000 with VOI coding, when using the MAXSHIFT and general scaling-based methods.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | IEEE Transactions on Medical Imaging | ||||
Publisher: | IEEE | ||||
ISSN: | 0278-0062 | ||||
Official Date: | October 2010 | ||||
Dates: |
|
||||
Volume: | 29 | ||||
Number: | 10 | ||||
Page Range: | pp. 1808-1820 | ||||
DOI: | 10.1109/TMI.2010.2052628 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |