research-article

Equiangular Fan-beam CT Image Reconstruction Based on Field Theory

Authors:

Jie Li,

Ning Li,

Junhai WenAuthors Info & Claims

AIPR '21: Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

Pages 151 - 155

https://doi.org/10.1145/3488933.3488991

Published: 25 February 2022 Publication History

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Abstract

With the development of CT reconstruction algorithms, CT technology has been widely used in medical and industrial fields. Using field theory to reconstruct CT images is a novel approach that has been put forward in recent years. This paper briefly introduces the field theory reconstruction and proposes a field theory reconstruction algorithm for equiangular fan- beam CT. Numerical experimental results show that the algorithm can obtain satisfactory reconstruction results and has high feasibility.

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Li Hongyuan. Application of Field Theory in SPECT Reconstruction[D]. Master Thesis, Beijing Institute of Technology, Beijing, China, 2015.

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Feng Congcong. Fan-beam and cone-beam CT image reconstruction based on field theory[D]. Master Thesis, Beijing Institute of Technology, Beijing, China, 2016.

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Zhuang Tiange. CT Principle and Algorithm[M]. Shanghai Jiaotong University Press, 1992. ISBN:7-313-01052-4

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Equiangular Fan-beam CT Image Reconstruction Based on Field Theory

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AIPR '21: Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

September 2021

715 pages

ISBN:9781450384087

DOI:10.1145/3488933

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2022

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NSAF Joint Fund
National Key R&D Program of China

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AIPR 2021

AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

September 24 - 26, 2021

Xiamen, China

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Abstract

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Software architecture for multi-bed FDK-based reconstruction in X-ray CT scanners

Generalized Feldkamp Image Reconstruction from Equiangular Cone-Beam Projection Data

Sparse-view cone beam CT reconstruction using dual CNNs in projection domain and image domain

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