Improvements of FDK-type helical cone-beam CT imaging

This thesis presents the author's research work on the FDK-type CT imaging algorithms for 3D cone-beam CT scanner. The modern FDK-type algorithms suffer from two main limitations of the data collection: the cone-shaped projection volume and the helical scanning pitch. Once the cone-beam angle b...

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Main Author: Liang, Hong Zhu
Other Authors: Zhang Cishen
Format: Theses and Dissertations
Language:English
Published: 2008
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Online Access:https://hdl.handle.net/10356/14265
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-142652023-07-04T16:57:08Z Improvements of FDK-type helical cone-beam CT imaging Liang, Hong Zhu Zhang Cishen School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This thesis presents the author's research work on the FDK-type CT imaging algorithms for 3D cone-beam CT scanner. The modern FDK-type algorithms suffer from two main limitations of the data collection: the cone-shaped projection volume and the helical scanning pitch. Once the cone-beam angle becomes relatively large or the helical scanning is relatively fast, the artifacts would unavoidably appear on the images reconstructed by the existing FDK-type algorithms. On the other hand, the FDK-type approximate reconstruction accuracy is to be improved if compared with the 3D exact reconstruction. The research work presented in this thesis is on the development of new FDK-type reconstruction algorithms. Author’s efforts are mainly on the improvements of approximate reconstruction geometry and the incorporation with the 3D exact reconstruction. New methods can produce images with improved quality and better reconstruction efficiency. DOCTOR OF PHILOSOPHY (EEE) 2008-11-12T05:56:50Z 2008-11-12T05:56:50Z 2007 2007 Thesis Liang, H. Z. (2007). Improvements of FDK-type helical cone-beam CT imaging. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/14265 10.32657/10356/14265 en 161 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Liang, Hong Zhu
Improvements of FDK-type helical cone-beam CT imaging
description This thesis presents the author's research work on the FDK-type CT imaging algorithms for 3D cone-beam CT scanner. The modern FDK-type algorithms suffer from two main limitations of the data collection: the cone-shaped projection volume and the helical scanning pitch. Once the cone-beam angle becomes relatively large or the helical scanning is relatively fast, the artifacts would unavoidably appear on the images reconstructed by the existing FDK-type algorithms. On the other hand, the FDK-type approximate reconstruction accuracy is to be improved if compared with the 3D exact reconstruction. The research work presented in this thesis is on the development of new FDK-type reconstruction algorithms. Author’s efforts are mainly on the improvements of approximate reconstruction geometry and the incorporation with the 3D exact reconstruction. New methods can produce images with improved quality and better reconstruction efficiency.
author2 Zhang Cishen
author_facet Zhang Cishen
Liang, Hong Zhu
format Theses and Dissertations
author Liang, Hong Zhu
author_sort Liang, Hong Zhu
title Improvements of FDK-type helical cone-beam CT imaging
title_short Improvements of FDK-type helical cone-beam CT imaging
title_full Improvements of FDK-type helical cone-beam CT imaging
title_fullStr Improvements of FDK-type helical cone-beam CT imaging
title_full_unstemmed Improvements of FDK-type helical cone-beam CT imaging
title_sort improvements of fdk-type helical cone-beam ct imaging
publishDate 2008
url https://hdl.handle.net/10356/14265
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