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- W2896688223 abstract "SPECTbrainimaging of the dopaminergic system using I 123 and Tc 99 m labeled agents, especially the simultaneous imaging of both pre- and postsynaptic neurons, promises to provide accurate diagnosis and differentiation of Parkinsonism. However, there are many degrading factors that affect the quality and quantitative accuracy of the SPECTimages. These degrading factors limit the potential clinical applications of brainSPECTimaging. In this work, we studied these degrading factors by developing and validating a Monte Carlo(MC) method that provides accurate SPECT simulation with detailed modeling of the photon interactions inside the collimatordetector system. To compensate for the partial volume effect (PVE) in the SPECTimages caused by finite spatial resolution, we developed a new PVE compensation method that takes into account the effects of nonlinearity in iterative reconstruction-based compensation for image degrading factors, including attenuation, scatter, and collimatordetector response. Compensation using the new method greatly improved the quantitative accuracy of brainSPECTimages. We have also developed model-based method that can accurately estimate the downscatter and crosstalk contamination in the I 123 imaging and the simultaneous I 123 ∕ Tc 99 m dual-isotope imaging. Based on the model-based method, two different approaches to model-based downscatter and crosstalk contamination compensation were proposed. Both methods are based on iterative reconstruction and include compensation for other imaging degrading factors. The model-based downscatter and crosstalk compensation method provided greatly improved accuracy of activity estimates with little effect on the precision. Finally, optimization of energy windows for simultaneous I 123 ∕ Tc 99 m acquisition was performed to find the energy windows with the best trade-off between minimizing the crosstalk and maximizing the detection efficiency for simultaneous acquisitions. In summary, comprehensive methods were developed and evaluated to compensate for image degrading factors in simultaneous dual-isotope brainSPECTimaging. Application of these methods in the imaging of the dopaminergic system has the potential to provide improved accuracy for diagnosis of Parkinsonism." @default.
- W2896688223 created "2018-10-26" @default.
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- W2896688223 date "2004-11-30" @default.
- W2896688223 modified "2023-10-16" @default.
- W2896688223 title "SPECT brain imaging of the dopaminergic system in Parkinsonism using I123 and Tc99m labeled agents" @default.
- W2896688223 doi "https://doi.org/10.1118/1.1820014" @default.
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