Share Email Print

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
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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. Imaging. 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)

© SPIE. Terms of Use
Back to Top