This work describes the implementation of the Point Spread Function in an iterative reconstruction algorithm for PET and presents some validation results on the new algorithm. A new prior for a variational regularization is also proposed to control the noise and to allow the number of iterations to be increased.
Rapisarda, E., Bettinardi, V., Thielemans, K., Gilardi, M. (2011). A fully 3D OS-MLEM reconstruction algorithm accounting for the Point Spread Function of a PET system. Intervento presentato a: 12th Topical Seminar on Innovative Particle and Radiation Detectors (IPRD 10), Siena, ITALY [10.1016/j.nuclphysbps.2011.03.128].
A fully 3D OS-MLEM reconstruction algorithm accounting for the Point Spread Function of a PET system
RAPISARDA, EUGENIO;GILARDI, MARIA CARLA
2011
Abstract
This work describes the implementation of the Point Spread Function in an iterative reconstruction algorithm for PET and presents some validation results on the new algorithm. A new prior for a variational regularization is also proposed to control the noise and to allow the number of iterations to be increased.
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