Analysis of Compression of 4D Volumetric Medical Image Datasets Using Multi-View Video Coding Methods
Martin UE, Kaup A (2008)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2008
Publisher: SPIE
Book Volume: 7075
Article Number: 707507
Event location: San Diego, CA
ISBN: 9780819472953
DOI: 10.1117/12.794483
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.
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Germany (DE)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. In Proceedings of the Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI. San Diego, CA, US: SPIE.
MLA:
Martin, Uwe-Erik, and André 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.
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