Compression of 3-D echocardiographic images using a modified 3-D set-partitioning-in-hierarchical-trees algorithm based on a 3-D wavelet packet transform

Xiyi Hang; Neil L. Greenberg; Yuan F. Zheng; James D. Thomas

doi:10.1117/1.2194467

1 April 2006 Compression of 3-D echocardiographic images using a modified 3-D set-partitioning-in-hierarchical-trees algorithm based on a 3-D wavelet packet transform

Xiyi Hang; Neil L. Greenberg; Yuan F. Zheng; James D. Thomas;

Author Affiliations +

J. of Electronic Imaging, 15(2), 023016 (2006). doi:10.1117/1.2194467

Abstract

An efficient compression strategy is indispensable for 3-D digital echocardiography, which can provide more accurate diagnostic information than 2-D echocardiography without geometric assumption, but unfortunately requires a huge storage space. We describe a new set partitioning in hierarchical trees (SPIHT) algorithm that is based on the wavelet packet transform and use it to compress 3-D echocardiographic images. The new algorithm originates from the well-known SPIHT algorithm that is based on a wavelet transform but outperforms it for the compression of 3-D echocardiographic images. Experimental results are presented to verify the effectiveness of the new SPIHT algorithm. Results show that the new algorithm achieves a very high compression ratio while retaining good quality 3-D echocardiographic images.

Citation Download Citation

Xiyi Hang, Neil L. Greenberg, Yuan F. Zheng, James D. Thomas, "Compression of 3-D echocardiographic images using a modified 3-D set-partitioning-in-hierarchical-trees algorithm based on a 3-D wavelet packet transform," Journal of Electronic Imaging 15(2), 023016 (1 April 2006). https://doi.org/10.1117/1.2194467

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