CPC G06T 7/0012 (2013.01) [A61B 6/032 (2013.01); A61B 6/504 (2013.01); A61B 6/5264 (2013.01); G06N 3/08 (2013.01); G06T 7/12 (2017.01); G06T 11/005 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06T 2211/436 (2013.01)] | 20 Claims |
1. A method comprising:
obtaining scan data that were generated by scanning a scanned region,
wherein the scan data include groups of scan data,
wherein each group, of the groups of scan data, was captured at a respective angle, and
wherein each group's respective angle is different from every other group's respective angle;
performing a reconstruction process on a first subset of the groups of scan data, thereby generating a first partial reconstruction of at least part of the scanned region;
performing a reconstruction process on a second subset of the groups of scan data, thereby generating a second partial reconstruction of the at least part of the scanned region, wherein the first subset is different from the second subset;
inputting the first partial reconstruction and the second partial reconstruction into a machine-learning model, which generates one or more motion-compensated reconstructions of the at least part of the scanned region based at least on the first partial reconstruction and the second partial reconstruction;
calculating a respective edge entropy of each of the one or more motion-compensated reconstructions of the at least part of the scanned region; and
adjusting the machine-learning model based on the respective edge entropy of each of the one or more motion-compensated reconstructions.
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