Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction

Accurate system modeling in tomographic image reconstruction has been shown to reduce the spatial variance of resolution and improve quantitative accuracy. System modeling can be improved through analytic calculations, Monte Carlo simulations, and physical measurements. The purpose of this work is t...

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Veröffentlicht in:	IEEE transactions on medical imaging 2010-03, Vol.29 (3), p.938-949
Hauptverfasser:	Alessio, A.M., Stearns, C.W., Shan Tong, Ross, S.G., Kohlmyer, S., Ganin, A., Kinahan, P.E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brain - physiology Computer Simulation Contrast Media Detectors Fully 3-D reconstruction Humans Image contrast Image Processing, Computer-Assisted - methods Image reconstruction Image resolution Mathematical models Modeling Monte Carlo Method Monte Carlo methods Noise Noise level Normal Distribution Phantoms, Imaging point spread function Polyethylene terephthalates Positron emission tomography positron emission tomography (PET) Positron-Emission Tomography - methods Reconstruction Reconstruction algorithms Spatial resolution Studies system modeling Testing Whole Body Imaging Whole-body PET
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