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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

[+] Author Affiliations
Xiyi Hang

California State University, Northridge, Department of Electrical and Computer Engineering, 18111 Nordhoff Street, Northridge, California 91330

Neil L. Greenberg

The Cleveland Clinic Foundation, Department of Cardiovascular Medicine, Cleveland, Ohio 44195

Yuan F. Zheng

The Ohio State University, Department of Electrical & Computer Engineering, Columbus, Ohio 43210

James D. Thomas

The Cleveland Clinic Foundation, Department of Cardiovascular Medicine, Cleveland, Ohio 44195

J. Electron. Imaging. 15(2), 023016 (April 26, 2006). doi:10.1117/1.2194467
History: Received March 07, 2005; Revised November 15, 2005; Accepted November 28, 2005; Published April 26, 2006
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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.

© 2006 SPIE and IS&T

Citation

Xiyi Hang ; Neil L. Greenberg ; Yuan F. Zheng and 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", J. Electron. Imaging. 15(2), 023016 (April 26, 2006). ; http://dx.doi.org/10.1117/1.2194467


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