US 11,850,081 B2
Monochromatic CT image reconstruction from current-integrating data via machine learning
Ge Wang, Loudonville, NY (US); and Wenxiang Cong, Albany, NY (US)
Assigned to Rensselaer Polytechnic Institute, Troy, NY (US)
Filed by RENSSELAER POLYTECHNIC INSTITUTE, Troy, NY (US)
Filed on Aug. 30, 2021, as Appl. No. 17/460,470.
Application 17/460,470 is a continuation of application No. 16/647,220, granted, now 11,127,175, previously published as PCT/US2018/052830, filed on Sep. 26, 2018.
Claims priority of provisional application 62/736,090, filed on Sep. 25, 2018.
Claims priority of provisional application 62/563,207, filed on Sep. 26, 2017.
Prior Publication US 2022/0051455 A1, Feb. 17, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 11/00 (2006.01); A61B 6/03 (2006.01); G06N 3/04 (2023.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/60 (2022.01)
CPC A61B 6/032 (2013.01) [G06N 3/04 (2013.01); G06T 11/006 (2013.01); G06V 10/60 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A correction circuitry for computed tomography (CT) image reconstruction, the correction circuitry comprising:
an artificial neural network (ANN); and
a training circuitry configured to train the ANN based, at least in part, on training data, the training data comprising polychromatic CT image data as input data, and monochromatic projection data as output data.