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Lossless 4D Medical Images Compression with Motion Compensation and Lifting Wavelet Transform

Leila Belhadef 1 and Zoulikha Mekkakia Maaza 2
1. Department of Sciences and Techniques, Institute of Sciences and Technologies, University Center of Relizane, Relizane, Algeria
2. Department of Computer Science, Faculty of Mathematics and Computer Science, University of Sciences and Technology of Oran USTO-MB, Oran, Algeria
Abstract—The lossless compression of 4D medical images is largely used for reduce the important size of this images and permit to reconstruct an identical image to the original image for diagnostic purposes. In this paper, we present a lossless compression technique of 4D medical images based on motion compensation and temporal filtering. The technique consists to apply 2D integer wavelet transform followed motion compensation or lifting wavelet order to eliminate efficiently the spatial and temporal redundancies between the 2D slices components a 4D image. The wavelet coefficients obtained are coded with SPIHT3D algorithm. Experimental results show that proposed technique can give better results compared to the classic technique such as SPIHT3D in compression rate.
Index Terms—4D medical images, SPIHT3D, lifting transform, motion compensation

Cite: Leila Belhadef and Zoulikha Mekkakia Maaza, "Lossless 4D Medical Images Compression with Motion Compensation and Lifting Wavelet Transform," International Journal of Signal Processing Systems, Vol. 4, No. 2, pp. 168-171, April 2016. doi: 10.12720/ijsps.4.2.168-171
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