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physics.med-ph2020★ 34 cited
DUG-RECON: A Framework for Direct Image Reconstruction using Convolutional Generative Networks
V. S. S. Kandarpa, Alexandre Bousse, Didier Benoit +1
This paper explores convolutional generative networks as an alternative to iterative reconstruction algorithms in medical image reconstruction. The task of medical image reconstruc…
physics.med-ph2004
GATE : a simulation toolkit for PET and SPECT
S. Jan, G. Santin, D. Strul +50
Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the…