Title :
Distance-dependent restoration filtering of dual photopeak window scatter compensated SPECT images
Author :
Glick, S.J. ; de Vries, D.J. ; Luo, D.-S. ; King, M.A.
Author_Institution :
Massachusetts Univ. Med. Center, Worcester, MA, USA
Abstract :
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.<>
Keywords :
image restoration; medical image processing; single photon emission computed tomography; Bellini´s method; Butterworth smoothing; Monte Carlo simulation study; anthropomorphic digitized phantom; background noise; distance-dependent restoration filtering; dual photopeak window scatter compensated SPECT images; frequency distance principle Wiener filter; liver; medical diagnostic imaging; noise suppression; noniterative SPECT reconstruction method; nonstationary detector response; nuclear medicine; ramp filtered backprojection; spleen; tumor contrast; Anthropomorphism; Attenuation; Detectors; Filtering; Frequency; Imaging phantoms; Liver; Reconstruction algorithms; Scattering; Wiener filter;
Journal_Title :
Nuclear Science, IEEE Transactions on
