Lossless compression of 3D MRI and CT data

Andreas Klappenecker; Frank U. May; Thomas Beth

doi:10.1117/12.328131

19 October 1998 Lossless compression of 3D MRI and CT data

Andreas Klappenecker, Frank U. May, Thomas Beth

Proceedings Volume 3458, Wavelet Applications in Signal and Imaging Processing VI; (1998) https://doi.org/10.1117/12.328131
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

We propose a conceptually simple method for lossless compression of medical image and volume data. The method can be divided into three steps: the input data is decomposed into several subbands with the help of nonlinear lifting filters, the resulting subbands are block-sorted according to a method suggested by Burrows and Wheeler, and the redundancy is removed with the help of an adaptive arithmetic coder. Moreover, we suggest a new method to implement (non-linear) lifting filters. We describe these filters with the help of a small filter description language, which is compiled into a shared object file and dynamically loaded at run time. The source code of the program is freely available for testing purposes.

Citation Download Citation

Andreas Klappenecker, Frank U. May, and Thomas Beth "Lossless compression of 3D MRI and CT data", Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); https://doi.org/10.1117/12.328131

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