A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results
In this paper, we propose a novel static CT system: triple planes CT (TPCT) system. Three source-detector planes in different horizontal directions are placed in the system. Line-array carbon nanotube sources with different voltages and sandwich detectors are used. Compared to conventional cone-beam...
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2021-05-01
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doaj-bc761b716cfd4f169df7f00342fbfed52021-05-07T10:00:33ZengFrontiers Media S.A.Frontiers in Physics2296-424X2021-05-01910.3389/fphy.2021.632869632869A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation ResultsYidi Yao0Yidi Yao1Liang Li2Liang Li3Zhiqiang Chen4Zhiqiang Chen5Department of Engineering Physics, Tsinghua University, Beijing, ChinaKey Laboratory of Particle & Radiation Imaging, Ministry of Education, Beijing, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing, ChinaKey Laboratory of Particle & Radiation Imaging, Ministry of Education, Beijing, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing, ChinaKey Laboratory of Particle & Radiation Imaging, Ministry of Education, Beijing, ChinaIn this paper, we propose a novel static CT system: triple planes CT (TPCT) system. Three source-detector planes in different horizontal directions are placed in the system. Line-array carbon nanotube sources with different voltages and sandwich detectors are used. Compared to conventional cone-beam CT and common inverse-geometry CT, the TPCT enables fast scanning and six-energy imaging. 1-D U-Net is applied to correct the severe scatter caused by the special geometry. The limited-view problem is solved by the hybrid reconstruction algorithm. A Monte-Carlo simulation is performed on a thorax phantom. Both the reconstruction results and decomposition results have good image quality and show the feasibility of our proposed TPCT imaging system.https://www.frontiersin.org/articles/10.3389/fphy.2021.632869/fullstatic CTmulti-energy imaginginverse-geometryhybrid reconstructionmaterial decomposition |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yidi Yao Yidi Yao Liang Li Liang Li Zhiqiang Chen Zhiqiang Chen |
spellingShingle |
Yidi Yao Yidi Yao Liang Li Liang Li Zhiqiang Chen Zhiqiang Chen A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results Frontiers in Physics static CT multi-energy imaging inverse-geometry hybrid reconstruction material decomposition |
author_facet |
Yidi Yao Yidi Yao Liang Li Liang Li Zhiqiang Chen Zhiqiang Chen |
author_sort |
Yidi Yao |
title |
A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results |
title_short |
A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results |
title_full |
A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results |
title_fullStr |
A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results |
title_full_unstemmed |
A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results |
title_sort |
novel static ct system: the design of triple planes ct and its multi-energy simulation results |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Physics |
issn |
2296-424X |
publishDate |
2021-05-01 |
description |
In this paper, we propose a novel static CT system: triple planes CT (TPCT) system. Three source-detector planes in different horizontal directions are placed in the system. Line-array carbon nanotube sources with different voltages and sandwich detectors are used. Compared to conventional cone-beam CT and common inverse-geometry CT, the TPCT enables fast scanning and six-energy imaging. 1-D U-Net is applied to correct the severe scatter caused by the special geometry. The limited-view problem is solved by the hybrid reconstruction algorithm. A Monte-Carlo simulation is performed on a thorax phantom. Both the reconstruction results and decomposition results have good image quality and show the feasibility of our proposed TPCT imaging system. |
topic |
static CT multi-energy imaging inverse-geometry hybrid reconstruction material decomposition |
url |
https://www.frontiersin.org/articles/10.3389/fphy.2021.632869/full |
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