Wavelet compression of nuclear medicine images
Abstract
METHODS: The static liver scans (byte mode acquisition, 128 x 128 matrix size) were studied. Four level wavelet transform was performed for image compression by means of biorthogonal filters with linear phase characteristic. The SPIHT technique (Set Partition in Hierarchical Trees) was used to code the wavelet coefficients.
RESULTS: The compression ratios 90:1, with a good quality of decompressed images, were achieved (PSNR > 32).
CONCLUSIONS: The wavelet compression of scintigrams may be a useful practical tool because of substantial disk space saving and the reduction of transmission time. The decompression of images does not significantly affect their quality.
Abstract
METHODS: The static liver scans (byte mode acquisition, 128 x 128 matrix size) were studied. Four level wavelet transform was performed for image compression by means of biorthogonal filters with linear phase characteristic. The SPIHT technique (Set Partition in Hierarchical Trees) was used to code the wavelet coefficients.
RESULTS: The compression ratios 90:1, with a good quality of decompressed images, were achieved (PSNR > 32).
CONCLUSIONS: The wavelet compression of scintigrams may be a useful practical tool because of substantial disk space saving and the reduction of transmission time. The decompression of images does not significantly affect their quality.
Keywords
wavelet transform; image procesing; wavelet compression
About this articleTitle
Wavelet compression of nuclear medicine images
Journal
Issue
Pages
153-156
Published online
2003-05-27
Page views
1023
Bibliographic record
Nucl. Med. Rev 2000;3(2):153-156.
Keywords
wavelet transform
image procesing
wavelet compression
Authors
Edward Oczeretko
Waldemar Rakowski
Dorota Jurilewicz
