Analysis of spatio-temporal prediction methods in 4D volumetric medical image datasets
Martin UE, Kaup A (2008)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2008
Pages Range: 525-528
Article Number: 4607487
Event location: Hannover
ISBN: 978-1-4244-2570-9
DOI: 10.1109/ICME.2008.4607487
Abstract
Due to the huge amount of data and the increasing utilization of 4D medical image processing, compression of such data sets is essential. Unlike moving 3D objects in computer graphic applications, medical 4D datasets consist of a number of sampled volume elements, varying in time. Based on an analysis of H.264 compression for such data, this paper presents a spatio-temporal prediction scheme leveraging effective block-based prediction for 4D volumetric image data. Experimental results show that this new spatiotemporal approach achieves better prediction results than pure spatial or temporal schemes. © 2008 IEEE.
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APA:
Martin, U.-E., & Kaup, A. (2008). Analysis of spatio-temporal prediction methods in 4D volumetric medical image datasets. In Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 (pp. 525-528). Hannover, DE.
MLA:
Martin, Uwe-Erik, and André Kaup. "Analysis of spatio-temporal prediction methods in 4D volumetric medical image datasets." Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, ICME 2008, Hannover 2008. 525-528.
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