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Compression of echocardiographic scan line data using wavelet packet transformAn efficient compression strategy is indispensable for digital echocardiography. Previous work has suggested improved results utilizing wavelet transforms in the compression of 2D echocardiographic images. Set partitioning in hierarchical trees (SPIHT) was modified to compress echocardiographic scanline data based on the wavelet packet transform. A compression ratio of at least 94:1 resulted in preserved image quality.
Document ID
20040087461
Acquisition Source
Johnson Space Center
Document Type
Reprint (Version printed in journal)
Authors
Hang, X. (Ohio State University United States)
Greenberg, N. L.
Qin, J.
Thomas, J. D.
Date Acquired
August 21, 2013
Publication Date
January 1, 2001
Publication Information
Publication: Computers in cardiology
Volume: 28
ISSN: 0276-6574
Subject Category
Life Sciences (General)
Report/Patent Number
ISSN: 0276-6574
Funding Number(s)
CONTRACT_GRANT: NCC9-60
CONTRACT_GRANT: NCC9-58
Distribution Limits
Public
Copyright
Other
Keywords
Non-NASA Center
NASA Discipline Cardiopulmonary
NASA Program Biomedical Research and Countermeasures
Data Compression
Algorithms
Echocardiography
Image Processing, Computer-Assisted
Human
Signal Processing, Computer-Assisted
Support, U.S. Gov't, Non-P.H.S
Data Interpretation, Statistical

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