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Those problems can be avoided by using ordered MPS.
All reconstructions were performed using ordered subset expectation maximization [OSEM] (eight subsets) up to 250 iterations.
Reconstruction of the PET images was performed using ordered subset expectation maximisation (OSEM).
Individuals are asked to classify their health using ordered qualitative labels from "poor" to "excellent.
Service prediction models were developed using ordered probit and ordered logit modeling structures which meet a confidence level of 95%.
Image reconstruction was performed using ordered subset expectation maximization (OSEM) with time of flight (TOF) and point spread function (PSF).
Subsequently, they were reconstructed using ordered subset estimation maximum in 2 dimensions (OSEM2D) in order to increase the spatial resolution.
All SPECT images were reconstructed using ordered subsets expectation maximization (OS-EM) using an off-line program.
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Datasets were reconstructed using ordered-subsets expectation maximization (OSEM) 1 7 iterations in order to identify the optimal OSEM reconstruction (5 iterations, 15 subsets).
FDG-PET and FLT-PET images were reconstructed using ordered-subsets expectation-maximization (OSEM) with 2 iterations and 28 subsets, and no post-reconstruction filter.
The SPECT series was reconstructed using ordered-subsets expectation maximization iterative technique without attenuation or scatter correction, and realigned along the heart axis.
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