An interactive method based on multi-objective optimization for limited-angle CT reconstruction Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1088/1361-6560/ad3724
Objective . Limited-angle x-ray computed tomography (CT) is a typical ill-posed inverse problem, leading to artifacts in the reconstructed image due to the incomplete projection data. Most iteration CT reconstruction methods involve optimization for a single object. This paper explores a multi-objective optimization model and an interactive method based on multi-objective optimization to suppress the artifacts of limited-angle CT. Approach . The model includes two objective functions on the dual domain within the data consistency constraint. In the interactive method, the structural similarity index measure (SSIM) is regarded as the value function of the decision maker (DM) firstly. Secondly, the DM arranges the objective functions of the multi-objective optimization model to be optimized according to their absolute importance. Finally, the SSIM and the simulated annealing (SA) method help the DM choose the desirable reconstruction image by improving the SSIM value during the iteration process. Main results . Simulation and real data experiments demonstrate that the artifacts can be suppressed by the proposed method, and the results were superior to those reconstructed by the other three reconstruction methods in preserving the edge structure of the image. Significance . The proposed interactive method based on multi-objective optimization shows some potential advantages over classical single object optimization methods.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1361-6560/ad3724
- OA Status
- hybrid
- Cited By
- 3
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393065029
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393065029Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1361-6560/ad3724Digital Object Identifier
- Title
-
An interactive method based on multi-objective optimization for limited-angle CT reconstructionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-22Full publication date if available
- Authors
-
Chengxiang Wang, Yuanmei Xia, Jiaxi Wang, Kequan Zhao, Wei Peng, Wei YuList of authors in order
- Landing page
-
https://doi.org/10.1088/1361-6560/ad3724Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1361-6560/ad3724Direct OA link when available
- Concepts
-
Computer science, Iterative reconstruction, Projection (relational algebra), Inverse problem, Inverse, Constraint (computer-aided design), Object (grammar), Mathematical optimization, Similarity (geometry), Process (computing), Artificial intelligence, Algorithm, Measure (data warehouse), Computer vision, Image (mathematics), Mathematics, Data mining, Mathematical analysis, Operating system, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
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34Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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