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Cited by 395

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Radiation dose reduction in computed tomography: techniques and future perspective

Open access
Yu, Lifeng, Liu, Xin, Leng, Shuai, Kofler, James M, Ramirez-Giraldo, Juan C, Qu, Mingliang, Christner, Jodie, Fletcher, Joel G, McCollough, Cynthia H·2009·Imaging in Medicine

Abstract

Despite universal consensus that computed tomography (CT) overwhelmingly benefits patients when used for appropriate indications, concerns have been raised regarding the potential risk of cancer induction from CT due to the exponentially increased use of CT in medicine. Keeping radiation dose as low as reasonably achievable, consistent with the diagnostic task, remains the most important strategy for decreasing this potential risk. This article summarizes the general technical strategies that are commonly used for radiation dose management in CT. Dose-management strategies for pediatric CT, cardiac CT, dual-energy CT, CT perfusion and interventional CT are specifically discussed, and future perspectives on CT dose reduction are presented.

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Metadata

Authors
Yu, L., Liu, X., Leng, S., Kofler, J. M., Ramirez-Giraldo, J. C., Qu, M., Christner, J., Fletcher, J. G., & McCollough, C. H.
Venue
Imaging in Medicine
Published
2009-10
Volume
1
Issue
1
Pages
65-84
ISSN
  • 1755-5191 (ISSN-L)
  • 1755-5205
OpenAlex
W2136172319
Cited by
395
References
5
FWCI
7.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Radiation dose reduction in computed tomography: techniques and future perspective. https://app.cochat.ai/papers/10.2217/iim.09.5
The paper
Yu, L., Liu, X., Leng, S., Kofler, J. M., Ramirez-Giraldo, J. C., Qu, M., Christner, J., Fletcher, J. G., & McCollough, C. H. (2009). Radiation dose reduction in computed tomography: techniques and future perspective. Imaging in Medicine. https://doi.org/10.2217/iim.09.5

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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