Motion Compensated Lossy-to-Lossless 4D Medical Image CompressionA new method for progressive lossy-to-lossless compression of 4D medical images (sequences of volumetric images over time) by using a combination of 3D Integer Wavelet Transform (IWT) and 3D motion compensation is proposed. A 3D extension of the Set-Partitioning in Hierarchical Trees (SPIHT) algorithm is employed for coding the wavelet coefficients. To effectively exploit the redundancy between consecutive 3D images, the concepts of key and residual frames from video coding is used. A fast 3D cube matching algorithm is employed to do motion estimation. The key and the residual volumes are then coded using 3D-IWT and the modified 3D-SPIHT. The experimental results presented in this paper shows that our proposed compression scheme achieves better lossy and lossless compression performance on 4D medical images when compared with JPEG-2000 and volumetric compression based on 3D-SPIHT. Associated publications:
Motion Compensated Lossy-to-Lossless Compression of 4D Medical Images Using
Integer Wavelet Transforms, (Download PDF)
Lossless and near-lossless motion-compensated 4D medical image compression,
(Download PDF) Source code for download:
C++ source code for 3D volume data compression.
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