Analysis of Compression of 4D Volumetric Medical Image Datasets Using Multi-View Video Coding Methods

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Martin UE, Kaup A
Publisher: SPIE
Publication year: 2008
Volume: 7075
ISBN: 9780819472953


Abstract


Due to the huge amount of data and the increasing usage, compression of 4D medical data sets is essential. These datasets consist of a number of sampled volume elements varying in time and are compressed either with spatial transformation based (e.g. JPEG2000-3D) or motion estimation based schemes. This paper presents a combined approach incorporating both, temporal and spatial information at the same time to compress 4D medical datasets. It is adopting a very similar four-dimensional Multi-View-Coding (MVC) scheme which is known from video processing to 4D medical datasets and compares experimental results with H.264 compression. Rate distortion characteristics show the advantages of such a combined spatio-temporal approach.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
Siemens AG


How to cite

APA:
Martin, U.-E., & Kaup, A. (2008). Analysis of Compression of 4D Volumetric Medical Image Datasets Using Multi-View Video Coding Methods. San Diego, CA, US: SPIE.

MLA:
Martin, Uwe-Erik, and Andre Kaup. "Analysis of Compression of 4D Volumetric Medical Image Datasets Using Multi-View Video Coding Methods." Proceedings of the Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, San Diego, CA SPIE, 2008.

BibTeX: 

Last updated on 2018-19-12 at 13:50