Title :
Compression of echocardiographic scan line data using wavelet packet transform
Author :
Hang, X. ; Greenberg, NL ; Qin, J. ; Thomas, JD
Author_Institution :
Ohio State Univ., Columbus, OH, USA
Abstract :
An 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 scan-line data based on the wavelet packet transform. A compression ratio of at least 94:1 resulted in preserved image quality
Keywords :
data compression; echocardiography; image coding; medical image processing; set theory; trees (mathematics); wavelet transforms; 2D echocardiographic image compression; SPIHT; compression ratio; digital echocardiography; echocardiographic scan-line data compression; hierarchical trees; preserved image quality; set partitioning; wavelet packet transform; Cardiology; Echocardiography; Filter bank; Image coding; Image quality; Partitioning algorithms; Tree data structures; Wavelet analysis; Wavelet packets; Wavelet transforms;
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
Print_ISBN :
0-7803-7266-2
DOI :
10.1109/CIC.2001.977683
