The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.
Strategies for Reducing Radiation Dose in CT
Open accessAbstract
In recent years, the media has focused on the potential danger of radiation exposure from CT, even though the potential benefit of a medically indicated CT far outweighs the potential risks. This attention has reminded the radiology community that doses must be as low as reasonably achievable (ALARA) while maintaining diagnostic image quality. To satisfy the ALARA principle, the dose reduction strategies described in this article must be well understood and properly used. The use of CT must also be justified for the specific diagnostic task.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In 2009, the Food and Drug Administration (FDA) reported that patients who underwent a CT scan of the brain exhibited band-like hair loss and, therefore, issued a warning regarding the excessive radiation dose that patients are subjected to [12].”
From A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation (2020) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Candes, E. J., Romberg, J., & Tao, T. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.862083 · Cited by 15,639
Computed Tomography — An Increasing Source of Radiation Exposure
Brenner, D. J., & Hall, E. J. (2007) · New England Journal of Medicine · doi:10.1056/nejmra072149 · Cited by 8,738
Recommendations of the International Commission on Radiological Protection
(1961) · Postgraduate Medical Journal · doi:10.1136/pgmj.37.425.168-b · Cited by 5,868
Estimated Risks of Radiation-Induced Fatal Cancer from Pediatric CT
Brenner, D. J., Elliston, C. D., Hall, E. J., & Berdon, W. E. (2001) · American Journal of Roentgenology · doi:10.2214/ajr.176.2.1760289 · Cited by 3,222
Preface, Executive Summary and Glossary
(2007) · Annals of the ICRP · doi:10.1016/j.icrp.2007.10.003 · Cited by 2,116
Recommendations of the International Commission on Radiological Protection, ICRP Publication 26
Icrp (1977) · Medical Entomology and Zoology · Cited by 1,785
Benefits and costs, an eternal balance
Dixon, A. K. (2007) · Annals of the ICRP · doi:10.1016/j.icrp.2007.09.001 · Cited by 1,355
Chen, G., Tang, J., & Leng, S. (2008) · Medical Physics · doi:10.1118/1.2836423 · Cited by 1,150
Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT
Sidky, E. Y., Kao, C.-M., & Pan, X. (2006) · Journal of X-Ray Science and Technology · doi:10.3233/xst-2006-00155 · Cited by 1,123
Strategies for CT Radiation Dose Optimization
Kalra, M. K., Maher, M. M., Toth, T. L., Hamberg, L. M., Blake, M. A., Shepard, J.-A. O., & Saini, S. (2004) · Radiology · doi:10.1148/radiol.2303021726 · Cited by 1,083
Flagged first, then by citations
Research works printed but not linked: 2
- McCollough, 2002, Dose optimization in CT: creation, implementation and clinical acceptance of size-based technique charts, Radiology, 225, 591
- Schmidt B. Dose calculations for computed tomography [dissertation]. Reports from the Insitute of Medical Physiks 2001;7 [in German].
Cited by
Sorted by citations
Items 801–843 of 843
Azimi, A., Ehsandoust, H., MozafaryBazargany, M., Asadian, S., Ghasemirad, H., Ahmadi, M., & Jolfayi, A. G. (2025) · Springer eBooks · doi:10.1007/978-981-95-0313-1_1
Tunçman, D., Kesmezacar, F. F., Günay, O., & Demir, P. D. (2025) · Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.19113/sdufenbed.1698952
Development of National Diagnostic Reference Levels for Chest Computed Tomography in Georgia
Tortladze, I., Urushadze, O., Nemsadze, G. S., Esvanjia, M. N., & Karanadze, K. (2026) · Cureus · doi:10.7759/cureus.102125
Malbaša, J. D., Kuzmanović, P., Zarić, B., Kovačević, T., Čapo, N., Vukoja, M. K., & Srećković, M. (2026) · Radiography · doi:10.1016/j.radi.2026.103340 · Cited by 1
The Horizons of Computed Tomography
Hafeez, M., & Sattar, J. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1013395
Deep learning for low-dose computed tomography CAD system
Meivand, Z., Kollerathu, V. A., Wolf, M., Goldmann, F., Guo, X., Kotikanyadanam, B., Maier, A., & Anhaus, J. A. (2026) · SPIE Medical Imaging: Image Processing · doi:10.1117/12.3086573
Pan, Z., Xu, M., Tingting, Q., Liu, L., Shi, X., Zhang, Y., (50563), L. Z., Li, Q., Li, J., Zhang, S., et al. (2026) · Academic Radiology · doi:10.1016/j.acra.2026.02.022
Asiain, M. M., Amirian, M., del Toro, Ó. J., Aberle, C., Schaer, R., Bach, M., Obmann, M. M., Flouris, K., Müller, H., Stieltjes, B., et al. (2026) · Medical Physics · doi:10.1002/mp.70374
FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting
Pieta, P. T., Pedersen, R. J., Borgi, S., Jørgensen, J. S., Andreasen, J. W., & Dahl, V. A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-37464-6_13
Lenfant, M. (2024) · doi:10.70675/bba28a2cz4959z45e7z948az3f511bf5640b
Matsubara, K., Ogawa, Y., Yoshikawa, R., Hirosawa, A., Chiba, S., Nuntue, C., & Tantiwetchayanon, K. (2026) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-026-01735-1
Hou, K., & Yang, C. (2026) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.70614
Xie, J., Dajian, D., Tang, S., Xiao, F., Luyao, Z., & Ling, H. (2026) · Frontiers in Radiology · doi:10.3389/fradi.2026.1803622
Mckeever, N., Khan, R. S., Ucer, C., Wright, S., & Spacey, A. (2026) · Dentistry Journal · doi:10.3390/dj14060340
Panakkal, N. C., Kadavigere, R., Sukumar, S., Dr Ravishankar, N., Shanbhag, S., & Nair, V. T. (2026) · Radiological Physics and Technology · doi:10.1007/s12194-026-01063-9
Lee, Y. J., Ki, D. H., Back, S.-H., & Yoo, S. B. (2026) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2026.111787
Yaosheng, 陈. C., Yong, 杨. Y., & Weina, 王. W. (2026) · Laser & Optoelectronics Progress · doi:10.3788/lop260454
Franco, P. N., Maino, C., Gandola, D. G., Franzesi, C. T., Corso, R., Ponti, E. D., & Ippolito, D. (2026) · Insights into Imaging · doi:10.1186/s13244-026-02333-1
Segmentation-Driven Dual-Path Network for Low-Dose CT Image Denoising
Guo, S., Li, J. M., & Wu, Y. (2026) · International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA) · doi:10.1109/aiita69518.2026.11567272
Lung Nodule in CT Image Quantification by Using Wavelet Transform
Asharani, R., & Murthy, M. V. C. (2026) · Journal of Computers Mechanical and Management · doi:10.57159/jcmm.5.3.26664
Han, D., Yabuuchi, H., Anam, C., Nadhiya, A., & Fujibuchi, T. (2026) · Journal of Radiological Protection · doi:10.1088/1361-6498/ae80d1
Sebelego, I. (2026) · Journal of medical imaging and radiation sciences · doi:10.1016/j.jmir.2026.102490
Obese patient imaging: Potential dose reduction with photon‐counting CT
Liu, L. P., Mei, K., Sharma, S., Ross, S., Halliburton, S. S., Thompson, R., Akino, N., Dhanaliwala, A. H., Roshkovan, L., Litt, H. I., et al. (2026) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.70720
Learned alternating descent algorithm with extrapolation for dual-domain CT reconstruction
Wang, W., Chen, Y., Yang, Y., & Chen, Y. (2026) · Inverse Problems and Imaging · doi:10.3934/ipi.2026048
Optimization of patient dose and image quality for positron emission tomography-computed tomography
Mostafa, F., Saudi, H. A., Hagg, A. A. E., BoudaghiMalidarreh, R., & Zakaly, H. M. H. (2026) · Applied Radiation and Isotopes · doi:10.1016/j.apradiso.2026.112846
Hadda, H. O., Zerfaoui, M., Bahhous, K., Didi, S., Rrhioua, A., & Ghazi, Y. E. (2026) · Springer proceedings in physics · doi:10.1007/978-3-032-22611-2_23
Ito, Y., Nishihara, Y., Kobayashi, M., Hibino, T., & Asada, Y. (2026) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.70754
Slice-resolved ocular dosimetry in pediatric axial CT using a validated Geant4 Monte Carlo framework
Abuhadi, N. H., Kadri, O., & Manai, K. (2026) · Radiation Protection Dosimetry · doi:10.1093/rpd/ncag097
Almuqbil, N. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1791498
A deep unrolling network based on cartoon texture decomposition for low-dose CT reconstruction
Liu, T., Gui, Z., Liu, Y., Luo, J., Sun, Z., & Zhang, P. (2026) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aea2ec
The Use of Low-Dose CT Scanning
Pierre, S. A. (2012) · Springer eBooks · doi:10.1007/978-1-4471-4387-1_35
Neuromorphic X-Ray Computed Tomography
Wang, H., Lovrić, G., & Béjar, B. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-37577-3_8
Verma, S., Sharma, R., Mishra, A., Yadav, A. K., Kumar, A., & Srivastava, A. K. (2026) · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · doi:10.1055/s-0046-1827846
Han, G.-S., & Lee, S. (2026) · Bangsaseon gisul gwahak/Journal of radiological science and technology · doi:10.17946/jrst.2026.49.4.371
Frequency-Aware Post-Training Quantization for Medical Image Denoising
Ko, U., Lee, Y., Park, J., & Choi, J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38189-7_20
DosePlug: Observation-Driven Dose Modeling for Robust Low-Dose Reconstruction and Segmentation
Ki, D. H., Lee, Y. J., & Yoo, S. B. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38179-8_11
Institutional CT dose reduction: A retrospective evaluation of dose indices from 2015–2024
Weaver, J. M., Ataei, A., Murphy, N. E., L'Heureux, D. R., & Supanich, M. P. (2026) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.70823
Ganapathy, C., Priyanka, G. B., Toshniwal, R., & Kumar, R. (2026) · PET Clinics · doi:10.1016/j.cpet.2026.09.005
Public health implications of medical diagnostic radiation exposure
Gerstenmaier, J. F. (2012) · Unisa Institutional Repository (University of South Africa)
Protocoles de réduction de dose en scanner cardiaque
Boussel, L., Paul, J., Coulon, P., & Douek, P. (2013) · Springer eBooks · doi:10.1007/978-2-8178-0435-4_1
Metadata
- Authors
- McCollough, C. H., Primak, A. N., Braun, N., Kofler, J., Yu, L., & Christner, J.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- McCollough, Cynthia H.
- Venue
- Radiologic Clinics of North America
- Publisher
- Elsevier BV
- Published
- 2009-01
- Volume
- 47
- Issue
- 1
- Pages
- 27-40
- ISSN
- 0033-8389 (ISSN-L)
- PMC
- PMC2743386
- OpenAlex
- W2020820596
- Cited by
- 842
- References
- 98
- Citations by year
- 2026: 37 · 2025: 48 · 2024: 33 · 2023: 21 · 2022: 39 · 2021: 51 · 2020: 44 · 2019: 39 · 2018: 71 · 2017: 54 · 2016: 82 · 2015: 62 · 2014: 55 · 2013: 43 · 2012: 58
- FWCI
- 7.74
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiologic Clinics of North America (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Biomedical Imaging and Bioengineering (R01EB007986)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Digital Radiography and Breast Imaging
- Keywords
- CT dose reduction, low-dose CT, ALARA principle, radiation risk, diagnostic quality, radiation protection
- MeSH terms
- Humans, Radiation Dosage, Radiation Injuries, Radiation Protection, Radiometry, Tomography, X-Ray Computed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
