Physics-assisted generative adversarial network for X-ray tomography

Physics-assisted generative adversarial network for X-ray tomography

<jats:p>X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, materials science, electronic inspection, and other fields. The reconstruction process can be an ill-conditioned inverse problem, requiring regula...

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Bibliographic Details
Main Authors: Guo, Zhen, Song, Jung Ki, Barbastathis, George, Glinsky, Michael E, Vaughan, Courtenay T, Larson, Kurt W, Alpert, Bradley K, Levine, Zachary H
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: Optica Publishing Group 2023
Online Access:https://hdl.handle.net/1721.1/150780

Internet

https://hdl.handle.net/1721.1/150780

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