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Finally, the optimal reconstruction protocol was identified.
Results: We found that the optimal reconstruction settings for each FOV were distinct.
In [14], optimal reconstruction for a multi-hypothesis decoder was proposed.
Fig. 6 Schematic illustration regarding the challenges in choosing optimal reconstruction parameters in a clinical setting.
PET data obtained using a 2-min scan were used to find the optimal reconstruction parameters.
Based on these results, a recommendation of a single optimal reconstruction would be made.
MP algorithms exhibit optimal reconstruction performance with respect to reconstruction accuracy and reconstruction time.
Moreover, the spatio-temporal dynamics is designed to obtain an optimal reconstruction signal.
This implies that optimal reconstruction of x1 and x2 is possible from x ~ 1 and x ~ 2, respectively.
An optimal reconstruction function is proposed in [20] to minimize the mean squared error according to the Laplacian correlation model.
If the optimal reconstruction method given in Eq. (5) is used, the side information is refined more precisely.
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