公开(公告)号：US20220035961A1

公开(公告)日：2022-02-03

申请号：US17392645

申请日：2021-08-03

申请人： UT-Battelle, LLC

发明人： Amir Ziabari ,  Singanallur Venkatakrishnan ,  Philip R. Bingham ,  Michael M. Kirka ,  Vincent C. Paquit ,  Ryan R. Dehoff ,  Abhishek Dubey

IPC分类号： G06F30/10 ,  G06T19/20 ,  G06T7/00 ,  G06N3/04

摘要： Nondestructive evaluation (NDE) of objects can elucidate impacts of various process parameters and qualification of the object. Computed tomography (CT) enables rapid NDE and characterization of objects. However, CT presents challenges because of artifacts produced by standard reconstruction algorithms. Beam-hardening artifacts especially complicate and adversely impact the process of detecting defects. By leveraging computer-aided design (CAD) models, CT simulations, and a deep-neutral network high-quality CT reconstructions that are affected by noise and beam-hardening can be simulated and used to improve reconstructions. The systems and methods of the present disclosure can significantly improve the reconstruction quality, thereby enabling better detection of defects compared with the state of the art.