CPC A61B 6/5205 (2013.01) [A61B 6/5258 (2013.01); G06N 3/08 (2013.01); G06T 11/005 (2013.01); G06T 11/006 (2013.01); G06T 11/008 (2013.01); G16H 50/20 (2018.01); A61B 6/4458 (2013.01); A61B 6/547 (2013.01); A61B 6/563 (2013.01); G06T 2210/41 (2013.01); G06T 2211/421 (2013.01)] | 20 Claims |
1. A low-dose imaging method, comprising:
receiving a sparse image set of a portion of a patient's anatomy, wherein the sparse image set comprises a plurality of globally-distributed artifacts;
up-sampling the sparse image set, in a sinogram domain and using a first neural network trained in the sinogram domain, to yield an up-sampled sinogram in which the first neural network has filled in at least some of the plurality of globally-distributed artifacts;
generating, from the up-sampled sinogram, an initial reconstruction; and
removing, from the initial reconstruction and using a second neural network trained in a slice domain, one or more artifacts in the initial reconstruction to yield a final output volume.
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