Distance-dependent restoration filtering of dual photopeak window scatter compensated SPECT images

A non-iterative SPECT reconstruction method is presented which consists of pre-processing the projection data for compensation of scatter, attenuation and. The detector response prior to ramp filtered backprojection. Scatter is compensated for using the dual-photopeak window (DPW) method, attenuation is compensated for using Bellini´s method, and compensation for the non-stationary detector response and noise suppression is performed with a frequency distance principle (FDP) Wiener filter. This approach was compared to a number of different processing methods using a Monte Carlo simulation study of an anthropomorphic digitized phantom of the liver and spleen. The DPW/FDP Wiener filtering method was shown to provide accurate quantitation of the liver as well as an increase in the ratio of tumor contrast to background noise as compared to Butterworth smoothing.<>