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Content Provider | IEEE Xplore Digital Library |
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Author | Glatard, T. Montagnat, J. Pennec, X. |
Copyright Year | 2008 |
Description | Author affiliation: Asclepios Project, INRIA Sophia-Antipolis, Sophia-Antipolis (Pennec, X.) || CNRS / I3S, Univ. of Nice Sophia-Antipolis, Nice (Glatard, T.; Montagnat, J.) |
Abstract | The impact of lossy compression has often been discussed in the medical area. In this study, an evaluation of the impact of lossy compression on the performance of rigid registration algorithms for medical images is proposed. The robustness, repeatability and accuracy of these algorithms is estimated through a statistical procedure for each compression ratio. Results are obtained thanks to a grid technology handling the computation cost of the method. Experiments reveal that the impact of compression is quite negligible below a significant compression ratio if the registration algorithm has a good multi-scale handling. Beyond this threshold, feature-based methods are highly penalized. |
Starting Page | 2912 |
Ending Page | 2915 |
File Size | 226585 |
Page Count | 4 |
File Format | |
ISBN | 9781424417650 |
ISSN | 15224880 |
DOI | 10.1109/ICIP.2008.4712404 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Gold Image coding Biomedical imaging Medical diagnostic imaging DICOM Chromium Image reconstruction Picture archiving and communication systems Transform coding Image analysis image registration Lossy compression medical images |
Content Type | Text |
Resource Type | Article |
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