Title :
A model for multiple scatters in fully 3D PET
Author :
Goggin, Andrew S. ; Ollinger, John M.
Author_Institution :
Washington Univ., St. Louis, MO, USA
fDate :
30 Oct-5 Nov 1994
Abstract :
Scatter correction algorithms based on the forward-calculation of the distribution of single scatters must be combined with an algorithm to estimate multiple scatters in order to accurately estimate the overall scatter distribution. The multiple scatters can be modeled as the convolution of the single-scatter distribution with a one-dimensional Gaussian kernel. The characteristics of this kernel are determined with Monte Carlo simulations. The width of the kernel is assumed to be invariant. Its magnitude varies with transverse projection angle by a factor related to the path length through the object being imaged. Evaluations using several object geometries show that the model yields accurate results
Keywords :
Monte Carlo methods; medical image processing; modelling; positron emission tomography; Monte Carlo simulations; fully 3D PET; kernel characteristics; kernel width; medical diagnostic imaging; multiple scatters model; nuclear medicine; object geometries; one-dimensional Gaussian kernel; single-scatter distribution convolution; transverse projection angle; Absorption; Collimators; Convolution; Electromagnetic scattering; Geometry; Imaging phantoms; Kernel; Particle scattering; Positron emission tomography; Solid modeling;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record
Conference_Location :
Norfolk, VA
Print_ISBN :
0-7803-2544-3
DOI :
10.1109/NSSMIC.1994.474755
