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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(s) -
Xiyi Hang,
Neil L. Greenberg,
Yuan F. Zheng,
James D. Thomas
Publication year - 2006
Publication title -
journal of electronic imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.238
H-Index - 66
eISSN - 1560-229X
pISSN - 1017-9909
DOI - 10.1117/1.2194467
Subject(s) - set partitioning in hierarchical trees , data compression , wavelet transform , computer science , wavelet , image compression , algorithm , wavelet packet decomposition , compression (physics) , artificial intelligence , set (abstract data type) , pattern recognition (psychology) , discrete wavelet transform , image processing , image (mathematics) , materials science , composite material , programming language
An efficient compression strategy is indispensable for 3-D digital echocardiography, which can provide more accurate di- agnostic 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) algo- rithm that is based on the wavelet packet transform and use it to compress 3-D echocardiographic images. The new algorithm origi- nates 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

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