A framework for evaluating the impact of compression on registration algorithms without gold standard

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 estimate...

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Bibliographic Details
Main Authors: Glatard, T., Montagnat, J., Pennec, X.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Chromium
DICOM
Gold
Image analysis
Image coding
Image reconstruction
image registration
Lossy compression
Medical diagnostic imaging
medical images
Picture archiving and communication systems
Transform coding
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Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2008.4712404