Efficient 4D motion compensated lossless compression of dynamic volumetric medical image data

TitleEfficient 4D motion compensated lossless compression of dynamic volumetric medical image data
Publication TypeConference Paper
Year of Publication2008
AuthorsSanchez, V., P. Nasiopoulos, and R. Abugharbieh
Conference NameAcoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Pagination549 -552
Date Publishedmar.
Keywords4D motion compensated lossless compression, bi-directional prediction, context-based adaptive binary arithmetic coder, data compression, data redundancies reduction, differential coding algorithm, dynamic volumetric medical image data, image coding, medical image processing, motion compensation, motion vectors, spatial dimensions, temporal dimensions, vectors

Dynamic volumetric (four dimensional- 4D) medical images are typically huge in file size and require a vast amount of resources for storage and transmission purposes. In this paper, we propose an efficient lossless compression method for 4D medical images that is based on a multi-frame motion compensation process employing a 4D search, variable block- sizes and bi-directional prediction. Data redundancies are reduced by recursively applying multi-frame motion compensation in the spatial and temporal dimensions. The proposed method also uses a novel differential coding algorithm to reduce redundancies in motion vectors and a new context-based adaptive binary arithmetic coder (CABAC) for compression of the residual data. Performance evaluations on real medical images of varying modality resulted in lossless compression ratios of up to 16:1.


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