Title :
Wavelet domain filtering for nuclear medicine imaging
Author :
Nowak, Robert D. ; Nowak, David J. ; Baraniuk, Richard G. ; Hellman, Robert S.
Author_Institution :
Michigan State Univ., East Lansing, MI, USA
Abstract :
The authors propose a new filtering/estimation method for nuclear medicine imaging. The statistical method of cross-validation is used to design optimal wavelet domain filters for improved image estimation. The quality of the resulting images is much better than standard image estimates, in both visual and mean square error senses. Moreover, experiments have shown that, using the new estimate, one can reduce the acquisition time by a factor of two and still retain high image quality
Keywords :
filtering theory; medical image processing; radioisotope imaging; statistical analysis; wavelet transforms; acquisition time reduction; cross-validation; filtering/estimation method; image quality; improved image estimation; mean square error; medical diagnostic imaging; nuclear medicine imaging; statistical method; wavelet domain filtering; Digital filters; Digital signal processing; Filtering; Image quality; Maximum likelihood detection; Maximum likelihood estimation; Noise reduction; Nonlinear filters; Nuclear medicine; Wavelet domain;
Conference_Titel :
Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
0-7803-3534-1
DOI :
10.1109/NSSMIC.1996.587979
