Flat-Panel Addressable Cold-Cathode X-Ray Source-Based Stationary CT Architecture

Wu, W; Zhang, J; Wang, S; Chen, J

Flat-Panel Addressable Cold-Cathode X-Ray Source-Based Stationary CT Architecture

Wu, W Zhang, J

Wang, S Chen, J

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Instrumentation and Measurement, 2023, 72
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Wu, W
dc.contributor.author	Zhang, J https://orcid.org/0000-0001-5048-5606
dc.contributor.author	Wang, S
dc.contributor.author	Chen, J
dc.date.accessioned	2024-04-18T03:08:27Z
dc.date.available	2024-04-18T03:08:27Z
dc.date.issued	2023-01-01
dc.identifier.citation	IEEE Transactions on Instrumentation and Measurement, 2023, 72
dc.identifier.issn	0018-9456
dc.identifier.issn	1557-9662
dc.identifier.uri	http://hdl.handle.net/10453/178028
dc.description.abstract	Stationary computed tomography (CT) system can not only improve image quality with motion artifact reduction, but also can help to visualize dynamic processes. How to develop a reliable stationary CT is a very challenging task. To address this challenge, we proposed a totally new addressable cold cathode flat-panel X-ray source-based stationary CT architecture, entitled a flat-panel addressable nanowire-cold-cathode stationary (FANS) CT scanner. The FANS scanner is a small and cheap system since the low-cost compact flat-panel X-ray source is used. Additionally, it is also a stationary CT system since the flat-panel X-ray source has the ability to fast switch. Finally, our FANS system provides extinguished image quality by incorporating superior regularization priors. The experiments on numerical and clinical datasets further demonstrate the feasibility of our proposed FANS CT imaging system. Our code is released at https://zenodo.org/record/7751804#.ZBg2qMJBzEY.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Instrumentation and Measurement
dc.relation.isbasedon	10.1109/TIM.2023.3271714
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0299 Other Physical Sciences, 0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	Flat-Panel Addressable Cold-Cathode X-Ray Source-Based Stationary CT Architecture
dc.type	Journal Article
utslib.citation.volume	72
utslib.for	0299 Other Physical Sciences
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-18T03:08:23Z
pubs.publication-status	Published
pubs.volume	72

Abstract:

Stationary computed tomography (CT) system can not only improve image quality with motion artifact reduction, but also can help to visualize dynamic processes. How to develop a reliable stationary CT is a very challenging task. To address this challenge, we proposed a totally new addressable cold cathode flat-panel X-ray source-based stationary CT architecture, entitled a flat-panel addressable nanowire-cold-cathode stationary (FANS) CT scanner. The FANS scanner is a small and cheap system since the low-cost compact flat-panel X-ray source is used. Additionally, it is also a stationary CT system since the flat-panel X-ray source has the ability to fast switch. Finally, our FANS system provides extinguished image quality by incorporating superior regularization priors. The experiments on numerical and clinical datasets further demonstrate the feasibility of our proposed FANS CT imaging system. Our code is released at https://zenodo.org/record/7751804#.ZBg2qMJBzEY.

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http://hdl.handle.net/10453/178028