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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Munoz-Gomez, J. Bartrina-Rapesta, J. Marcellin, M.W. Serra-Sagrista, J. |
| Copyright Year | 2013 |
| Abstract | Computed tomography (CT) is a noninvasive medical test obtained via a series of X-ray exposures resulting in 3-D images that aid medical diagnosis. Previous approaches for coding such 3-D images propose to employ multicomponent transforms to exploit correlation among CT slices, but these approaches do not always improve coding performance with respect to a simpler slice-by-slice coding approach. In this paper, we propose a novel analysis which accurately predicts when the use of a multicomponent transform is profitable. This analysis models the correlation coefficient r based on image acquisition parameters readily available at acquisition time. Extensive experimental results from multiple image sensors suggest that multicomponent transforms are appropriate for images with correlation coefficient r in excess of 0.87. |
| Page Count | 8 |
| File Size | 1263640 |
| Starting Page | 928 |
| Ending Page | 935 |
| File Format | |
| ISSN | 21682194 |
| Volume Number | 17 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computed tomography Image compression Digital imaging Transform coding multicomponent transforms Computed tomography (CT) image compression correlation modeling digital imaging and communications in medicine (DICOM) protocol JPEG2000 coding standard |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Information Management Health Informatics Electrical and Electronic Engineering Computer Science Applications Biotechnology |
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