all AI news
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction. (arXiv:2111.06069v2 [eess.IV] UPDATED)
June 7, 2022, 1:13 a.m. | Soumendu Majee, Selin Aslan, Doga Gursoy, Charles A. Bouman
cs.CV updates on arXiv.org arxiv.org
In many computed tomography (CT) imaging applications, it is important to
rapidly collect data from an object that is moving or changing with time.
Tomographic acquisition is generally assumed to be step-and-shoot, where the
object is rotated to each desired angle, and a view is taken. However,
step-and-shoot acquisition is slow and can waste photons, so in practice
fly-scanning is done where the object is continuously rotated while collecting
data. However, this can result in motion-blurred views and consequently
reconstructions …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote