Title :
Improved modeling of system response in list mode EM reconstruction of Compton scatter camera images
Author :
Wilderman, S.J. ; Fessler, J.A. ; Clinthorne, N.H. ; LeBlanc, J.W. ; Rogers, W.L.
Author_Institution :
Dept. of Nucl. Eng. & Radiol. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
2/1/2001 12:00:00 AM
Abstract :
An improved List Mode EM method for reconstructing Compton scattering camera images has been developed. First, an approximate method for computation of the spatial variation in the detector sensitivity has been derived and validated by Monte Carlo computation. A technique for estimating the relative weight of system matrix coefficients for each gamma in the list has also been employed, as has a method for determining the relative probabilities of emission having come from pixels tallied in each list-mode back-projection. Finally, a technique has been developed for modeling the effects of Doppler broadening and finite detector energy resolution on the relative weights for pixels neighbor to those intersected by the back-projection, based on values for the FWHM of the spread in the cone angle computed by Monte Carlo. Memory issues typically associated with list mode reconstruction are circumvented by storing only a list of the pixels intersected by the back-projections, and computing the weights of the neighboring pixels at each iteration step. Reconstructions have been performed on experimental data for both point and distributed sources
Keywords :
Compton effect; Monte Carlo methods; gamma-ray scattering; image reconstruction; iterative methods; medical image processing; radioisotope imaging; Doppler broadening effects; Monte Carlo computation; cone angle; finite detector energy resolution; improved system response modeling; list-mode back-projection; medical diagnostic imaging; neighboring pixels weights computation; nuclear medicine; system matrix coefficients relative weight; Biomedical engineering; Cameras; Detectors; Electromagnetic scattering; Event detection; Face detection; Image reconstruction; Maximum likelihood detection; Monte Carlo methods; Particle scattering;
Journal_Title :
Nuclear Science, IEEE Transactions on