title: Compression of echocardiographic scan line data using wavelet packet transform.
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 scanline data based on the wavelet packet transform. A compression ratio of at least 94:1 resulted in preserved image quality.
authors.affiliation: Ohio State University, USA. hangx@ccf.org
authors.forename: X
authors.initials: X
authors.lastname: Hang
authors.forename: N L
authors.initials: NL
authors.lastname: Greenberg
authors.forename: J
authors.initials: J
authors.lastname: Qin
authors.forename: J D
authors.initials: JD
authors.lastname: Thomas
mesh_terms: D000465:Algorithms; D044962:Data Compression; D003627:Data Interpretation, Statistical; D004452:Echocardiography; D006801:Humans; D007091:Image Processing, Computer-Assisted; D012815:Signal Processing, Computer-Assisted