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Journal of Electronic Imaging

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(s): Xiyi Hang; Neil L. Greenberg; Yuan F. Zheng; James D. Thomas
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Paper 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.

Paper Details

Date Published: 1 April 2006
PDF: 13 pages
J. Electron. Imag. 15(2) 023016 doi: 10.1117/1.2194467
Published in: Journal of Electronic Imaging Volume 15, Issue 2
Show Author Affiliations
Xiyi Hang, California State Univ./Northridge (United States)
Neil L. Greenberg, The Cleveland Clinic Foundation (United States)
Yuan F. Zheng, The Ohio State Univ. (United States)
James D. Thomas, Cleveland Clinic Foundation (United States)

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