Cited By
View all- Li XWei SXu HChen C(2021)Hybrid regularized cone-beam reconstruction for axially symmetric object tomographyActa Mathematica Scientia10.1007/s10473-022-0122-z42:1(403-419)Online publication date: 25-Aug-2021
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data
Authors: 
Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang WangAuthors Info & Claims
Pages 288 - 292
Abstract
In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material due to the long time for data acquisition at all angles. Therefore, AS object is devised to investigate the instant deformation of material under pulse change of environment because single projection data is enough to reconstruct its inner structure. Previous reconstruction methods are layer by layer, and ignore the longitudinal tilt of x-ray paths. We propose a regularization method using adaptive tight frame to reconstruct the 3D AS object structure simultaneously. Alternating direction method is adopted to solve the proposed model. More importantly, a numerical algorithm is developed to compute imaging matrix. Experiments on simulation data verify the effectiveness of our method
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Index Terms
- Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data
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CBMS '00: Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)The cone-beam approach for image reconstruction attracts an increasing attention in various applications, especially medical imaging. Previously, the traditional practical cone-beam reconstruction method, the Feldkamp algorithm, was generalized into the ...
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Published In
August 2019
370 pages
ISBN:9781450372626
DOI:10.1145/3364836
Copyright © 2019 ACM.
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In-Cooperation
- Xidian University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 August 2019
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- Research-article
- Research
- Refereed limited
Funding Sources
- Hong Kong Research Grant Council
- National Natural Science Foundation of China
- Programs for Science and Technology Development of Henan Province
- startup grant at Hong Kong Baptist University
Conference
ISICDM 2019
ISICDM 2019: The Third International Symposium on Image Computing and Digital Medicine
August 24 - 26, 2019
Xi'an, China
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View all- Li XWei SXu HChen C(2021)Hybrid regularized cone-beam reconstruction for axially symmetric object tomographyActa Mathematica Scientia10.1007/s10473-022-0122-z42:1(403-419)Online publication date: 25-Aug-2021
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