Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System

Zhiyu Gao; Haibin Lan; Changsheng Zhang; Yao Huang; Jian Fu

doi:10.1145/3653946.3653967

Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System

Zhiyu Gao
, Haibin Lan
, Changsheng Zhang
, Yao Huang
, Jian Fu^*

^*Corresponding author for this work

School of Mechanical Engineering and Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper introduces a simulation process for X-ray imaging systems, emphasizing the optimization of the objective function through critical parameter analysis. The study explores mathematical modeling and computer simulations to bridge the gap between simulated X-ray images and their real-world counterparts, discusses the impact of the properties of X-ray sources, detectors, and imaged objects, as well as their interplay, on the fidelity of X-ray simulation images, aiming to provide valuable insights for advancing X-ray technology applications in both the medical and industrial sectors.

Original language	English
Title of host publication	ICMVA 2024 - 2024 The 7th International Conference on Machine Vision and Applications
Publisher	Association for Computing Machinery
Pages	139-144
Number of pages	6
ISBN (Electronic)	9798400716553
DOIs	https://doi.org/10.1145/3653946.3653967
State	Published - 12 Mar 2024
Event	7th International Conference on Machine Vision and Applications, ICMVA 2024 - Singapore, Singapore Duration: 12 Mar 2024 → 14 Mar 2024

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	7th International Conference on Machine Vision and Applications, ICMVA 2024
Country/Territory	Singapore
City	Singapore
Period	12/03/24 → 14/03/24

Keywords

X-ray imaging
computer simulation
image quality
mathematical modeling

Access to Document

10.1145/3653946.3653967

Cite this

Gao, Z., Lan, H., Zhang, C., Huang, Y., & Fu, J. (2024). Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System. In ICMVA 2024 - 2024 The 7th International Conference on Machine Vision and Applications (pp. 139-144). (ACM International Conference Proceeding Series). Association for Computing Machinery . https://doi.org/10.1145/3653946.3653967

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title = "Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System",

abstract = "This paper introduces a simulation process for X-ray imaging systems, emphasizing the optimization of the objective function through critical parameter analysis. The study explores mathematical modeling and computer simulations to bridge the gap between simulated X-ray images and their real-world counterparts, discusses the impact of the properties of X-ray sources, detectors, and imaged objects, as well as their interplay, on the fidelity of X-ray simulation images, aiming to provide valuable insights for advancing X-ray technology applications in both the medical and industrial sectors.",

keywords = "X-ray imaging, computer simulation, image quality, mathematical modeling",

author = "Zhiyu Gao and Haibin Lan and Changsheng Zhang and Yao Huang and Jian Fu",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 7th International Conference on Machine Vision and Applications, ICMVA 2024 ; Conference date: 12-03-2024 Through 14-03-2024",

year = "2024",

month = mar,

day = "12",

doi = "10.1145/3653946.3653967",

language = "英语",

series = "ACM International Conference Proceeding Series",

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Gao, Z, Lan, H, Zhang, C, Huang, Y & Fu, J 2024, Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System. in ICMVA 2024 - 2024 The 7th International Conference on Machine Vision and Applications. ACM International Conference Proceeding Series, Association for Computing Machinery , pp. 139-144, 7th International Conference on Machine Vision and Applications, ICMVA 2024, Singapore, Singapore, 12/03/24. https://doi.org/10.1145/3653946.3653967

Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System. / Gao, Zhiyu; Lan, Haibin; Zhang, Changsheng et al.
ICMVA 2024 - 2024 The 7th International Conference on Machine Vision and Applications. Association for Computing Machinery , 2024. p. 139-144 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System

AU - Gao, Zhiyu

AU - Lan, Haibin

AU - Zhang, Changsheng

AU - Huang, Yao

AU - Fu, Jian

PY - 2024/3/12

Y1 - 2024/3/12

N2 - This paper introduces a simulation process for X-ray imaging systems, emphasizing the optimization of the objective function through critical parameter analysis. The study explores mathematical modeling and computer simulations to bridge the gap between simulated X-ray images and their real-world counterparts, discusses the impact of the properties of X-ray sources, detectors, and imaged objects, as well as their interplay, on the fidelity of X-ray simulation images, aiming to provide valuable insights for advancing X-ray technology applications in both the medical and industrial sectors.

AB - This paper introduces a simulation process for X-ray imaging systems, emphasizing the optimization of the objective function through critical parameter analysis. The study explores mathematical modeling and computer simulations to bridge the gap between simulated X-ray images and their real-world counterparts, discusses the impact of the properties of X-ray sources, detectors, and imaged objects, as well as their interplay, on the fidelity of X-ray simulation images, aiming to provide valuable insights for advancing X-ray technology applications in both the medical and industrial sectors.

KW - X-ray imaging

KW - computer simulation

KW - image quality

KW - mathematical modeling

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DO - 10.1145/3653946.3653967

M3 - 会议稿件

AN - SCOPUS:85197442528

T3 - ACM International Conference Proceeding Series

SP - 139

EP - 144

BT - ICMVA 2024 - 2024 The 7th International Conference on Machine Vision and Applications

PB - Association for Computing Machinery

T2 - 7th International Conference on Machine Vision and Applications, ICMVA 2024

Y2 - 12 March 2024 through 14 March 2024

ER -

Gao Z, Lan H, Zhang C, Huang Y, Fu J. Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System. In ICMVA 2024 - 2024 The 7th International Conference on Machine Vision and Applications. Association for Computing Machinery . 2024. p. 139-144. (ACM International Conference Proceeding Series). doi: 10.1145/3653946.3653967

Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System

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