Wavelet domain filtering for nuclear medicine imaging

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.