Analysis of compression of 4D volumetric medical image datasets using multi-view (MVC) video coding methods

Uwe-Erik Martin; André Kaup

doi:10.1117/12.794483

3 September 2008 Analysis of compression of 4D volumetric medical image datasets using multi-view (MVC) video coding methods

Uwe-Erik Martin, André Kaup

Author Affiliations +

Proceedings Volume 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI; 707507 (2008) https://doi.org/10.1117/12.794483
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Uwe-Erik Martin and André Kaup "Analysis of compression of 4D volumetric medical image datasets using multi-view (MVC) video coding methods", Proc. SPIE 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, 707507 (3 September 2008); https://doi.org/10.1117/12.794483

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