A joint 3D DWT and SPIHT based algorithm for 3D MRI image compression

In this paper, an effective algorithm is proposed to compress the magnetic resonance imaging (MRI) images. In the proposed scheme, 3D discrete wavelet transform (DWT) and set partitioning in hierarchical trees (SPIHT) coding are jointed to achieve more desired quality reconstruction. To achieve the goal, the lifting based wavelet transformation is employed to apply 3D DWT. Also, in SPIHT coding, finding the largest wavelet coefficient of the decomposed MRI image, transmission of the acceptable coefficients, and refinement processes are employed. The experimental results show that the proposed scheme not only achieves satisfactory MRI image quality reconstruction, but also improves the similar terms in the earlier works.