Review of high-speed imaging with lab-based x-ray computed tomography

Author:

Zwanenburg E AORCID,Williams M AORCID,Warnett J MORCID

Abstract

Abstract X-ray computed tomography (CT) is frequently used for non-destructive testing with many applications in a wide range of scientific research areas. The difference in imaging speeds between synchrotron and lab-based scanning has reduced as the capabilities of commercially available CT systems have improved, but there is still a need for faster lab-based CT both in industry and academia. In industry high-speed CT is desirable for inline high-throughput CT at a higher resolution than currently possible which would save both time and money. In academia it would allow for the imaging of faster phenomena, particularly dynamic in-situ testing, in a lab-based setting that is more accessible than synchrotron facilities. This review will specifically highlight what steps can be taken by general users to optimise scan speed with current equipment and the challenges to still overcome. A critical evaluation of acquisition parameters across recent high-speed studies by commercial machine users is presented, indicating some areas that could benefit from the methodology described. The greatest impacts can be achieved by maximising spot size without notably increasing unsharpness, and using a lower number of projections than suggested by the Nyquist criterion where the anecdotal evidence presented suggests usable results are still achievable.

Funder

Engineering and Physical Sciences Research Council

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Cited by 46 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3