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All PET scans were acquired in 3D mode (3 min emissions per bed position) and were reconstructed by using an iterative reconstruction algorithm.
Our assumption is that the long-term trend of the TSI can be reconstructed by using radionuclide data while the reconstruction of the short-term trend can be achieved by using SSN.
The images were reconstructed by using a slice thickness of 5 mm, with a reconstruction increment of 5 mm.
Then, unblurred HDR images were reconstructed by using the proposed method.
The final enhanced speech signal is reconstructed by using the standard overlap-and-add method.
The whole temperature field can be reconstructed by using the FDM.
The three-phase interfaces are resolved and reconstructed by using a VOF-based methodology.
The distribution is reconstructed by using the positive region of HMMC as an initial estimate for the continuous density distribution.
At the receiver, the clipped samples can be reconstructed by using a number of methods [1, 2, 4, 5].
Then, HR patches are reconstructed by using the sparse representation along with the corresponding HR dictionary and mapping matrix.
Using the eigenvalues and the eigenvectors, the wavevector spectrum can be reconstructed by using a model spectrum.
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