19 October 1998 Lossless compression of 3D MRI and CT data
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas Klappenecker, Andreas Klappenecker, Frank U. May, Frank U. May, Thomas Beth, Thomas Beth, } "Lossless compression of 3D MRI and CT data", Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); doi: 10.1117/12.328131; https://doi.org/10.1117/12.328131
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