Fast CBCT reconstruction using convolutional neural networks for arbitrary robotic C-arm orbits-Reference-Cited by-同舟云学术

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Fast CBCT reconstruction using convolutional neural networks for arbitrary robotic C-arm orbits

Published:2022-04-04 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2022: Physics of Medical Imaging
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Author:

Russ Tom,Ma Yiqun Q.,Golla Alena-Kathrin,Bauer Dominik F.,Reynolds Tess,Tönnes Christian,Hatamikia Sepideh,Schad Lothar R.,Zöllner Frank G.,Gang Grace J.,Wang Wenying,Stayman J. Webster

Publisher

SPIE

Reference11 articles.

1. Extended ellipse-line-ellipse trajectory for long-object cone-beam imaging with a mounted C-arm system

2. Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging

3. Metal-Tolerant Noncircular Orbit Design and Implementation on Robotic C-Arm Systems;Gang,2020

4. Non-circular orbits on a clinical robotic c-arm for reducing metal artifacts in orthopedic interventions;Ma,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today’s state-of-the-art;Physics in Medicine & Biology;2022-08-16

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