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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Main Authors: Yidi Yao, Liang Li, Zhiqiang Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2021.632869/full
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spelling 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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