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Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

Open access
Sidky, Emil Y., Kao, Chien-Min, Pan, Xiaochuan·2006·Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics

Abstract

In practical applications of tomographic imaging, there are often challenges for image reconstruction due to under-sampling and insufficient data. In computed tomography (CT), for example, image reconstruction from few views would enable rapid scanning with a reduced x-ray dose delivered to the patient. Limited-angle problems are also of practical significance in CT. In this work, we develop and investigate an iterative image reconstruction algorithm based on the minimization of the image total variation (TV) that applies to divergent-beam CT. Numerical demonstrations of our TV algorithm are performed with various insufficient data problems in fan-beam CT. The TV algorithm can be generalized to cone-beam CT as well as other tomographic imaging modalities.

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Metadata

Authors
Sidky, E. Y., Kao, C.-M., & Pan, X.
Venue
Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics
Published
2006-01-01
Volume
14
Issue
2
Pages
119-139
ISSN
  • 0895-3996 (ISSN-L)
  • 1095-9114
OpenAlex
W2951629090
Cited by
1,091
References
0
FWCI
10.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT. https://app.cochat.ai/papers/10.3233/xst-2006-00155
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Sidky, E. Y., Kao, C.-M., & Pan, X. (2006). Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics. https://doi.org/10.3233/xst-2006-00155

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.