Abstract
An efficient lossless wavelet compression including a preview feature has been implemented into the case-based online textbook ODITEB in order to increase the speed of transmission of CT and MRI images. Already downloaded parts of the data are interpreted as a lossy compressed image which is immediately shown for preview. The first such preview has a compression ratio of about 1:30 compared to the original DICOM file. After a full download the compression ratio is 1:3 and the image is identical with the original one. ODITEB is supposed to be accessible also for students using a slow internet access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Horsch A, Balbach T, Melnitzki S, Knauth J: Learning tumor diagnostics and medical image processing vie the WWW — the case-based radiological textbook ODITEB. Int. J. Med. Inform. 58–59(2000):39–50
Shapiro JM: Embedded image coding using zerotrees of wavelet coefficients”, IEEE Trans, on Signal Processing, vol. 41, 12, pp. 3445–3463, December, 1993.
Said A, Pearlman WA: A New Fast and Efficient Image Codec Based on Set Partitioning in Hierarchical Trees, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 6, June 1996
Strutz T et al..: Bildcodierung durch hierarchische Prädiktion im Wavelet-Bereich., FREQUENZ, Fachverlag Schiele & Schön GmbH Berlin-Kreuzberg, Band 51, No.3–4, 1997, pp.106–115
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sielhorst, T., Horsch, A. (2002). An Efficient Wavelet Compression of CT and MRI Images in an Online Textbook. In: Meiler, M., Saupe, D., Kruggel, F., Handels, H., Lehmann, T.M. (eds) Bildverarbeitung für die Medizin 2002. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55983-9_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-55983-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43225-8
Online ISBN: 978-3-642-55983-9
eBook Packages: Springer Book Archive