Incorporation of Anatomical MR Data for Improved Dunctional Imaging with PET
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
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MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Steady-State model of the radio-pharmaceutical uptake for MR-PET
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We introduce a 4-dimensional joint generative probabilistic model for estimation of activity in a PET/MRI imaging system. The model is based on a mixture of Gaussians, relating time dependent activity and MRI image intensity to a hidden static variable, allowing one to estimate jointly activity, the parameters that capture the interdependence of the two images and motion parameters. An iterative algorithm for optimisation of the model is described. Noisy simulation data, modeling 3-D patient head movements, is obtained with realistic PET and MRI simulators and with a brain phantom from the BrainWeb database. Joint estimation of activity and motion parameters within the same framework allows us to use information from the MRI images to improve the activity estimate in terms of noise and recovery.