ArticleEuropean radiology2013
Iterative reconstruction techniques for computed tomography Part 1: technical principles.
Article in European radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 5 of them syntheses that pooled it.
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Who cites it
157 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Pooled it
- A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction.Tomography (Ann Arbor, Mich.) · 2023Pooled it
- Guideline on the use of iodinated contrast media in patients with kidney disease 2018.Clinical and experimental nephrology · 2020Guideline
- Diagnostic performance of computed tomography angiography in the detection of coronary artery in-stent restenosis: evidence from an updated meta-analysis.European radiology · 2018Pooled it
- Dose reduction with iterative reconstruction for coronary CT angiography: a systematic review and meta-analysis.The British journal of radiology · 2016Pooled it
- Radiation dose reduction for CT-guided intrathecal nusinersen administration in adult patients with spinal muscular atrophy.Scientific reports · 2020Trial
- Trial
- Reducing radiation dose in the diagnosis of pulmonary embolism using adaptive statistical iterative reconstruction and lower tube potential in computed tomography.European radiology · 2014Trial
- Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.The British journal of radiology · 2014Trial
- Impact of iterative reconstruction on CT coronary calcium quantification.European radiology · 2013Trial
- Quantitative comparison of 68-keV monoenergetic, routine-dose, and low-dose 120-kVp CT for calcium-mimicking inserts in thoracic phantoms: effects of phantom size and reconstruction method.European radiology experimental · 2026Article
- Low-dose CT imaging using a regularization-enhanced efficient diffusion probabilistic model.Medical physics · 2026Article
- Overview of dose optimization methods for patient safety in current CT technologies.Physical and engineering sciences in medicine · 2026Article
- Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on automated Alberta stroke program early CT score- evaluation.Neuroradiology · 2026Article
- Advancements in radiation dose reduction for pediatric CT head Imaging: A scoping review of emerging Technologies, Protocols, and optimization strategies.Technical innovations & patient support in radiation oncology · 2026Review
- Radiation dose of computed tomography in pediatric head trauma imaging.Neuroradiology · 2026Article
- Deep learning image reconstruction optimizes coronary artery calcium quantification.Frontiers in cardiovascular medicine · 2026Article
- Application of computed tomographic angiography and a three-dimensional reconstruction technique for repairing facial skin defects.BMC surgery · 2025Article
- Thin-Slice Brain CT Image Quality and Lesion Detection Evaluation in Deep Learning Reconstruction Algorithm.Clinical neuroradiology · 2025Article
- Artificial intelligence for radiopharmaceutical and molecular imaging.Acta pharmaceutica Sinica. B · 2025Review
97 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
objectivesTo explain the technical principles of and differences between commercially available iterative reconstruction (IR) algorithms for computed tomography (CT) in non-mathematical terms for radiologists and clinicians.
methodsTechnical details of the different proprietary IR techniques were distilled from available scientific articles and manufacturers' white papers and were verified by the manufacturers. Clinical results were obtained from a literature search spanning January 2006 to January 2012, including only original research papers concerning IR for CT.
resultsIR for CT iteratively reduces noise and artefacts in either image space or raw data, or both. Reported dose reductions ranged from 23 % to 76 % compared to locally used default filtered back-projection (FBP) settings, with similar noise, artefacts, subjective, and objective image quality.
conclusionIR has the potential to allow reducing the radiation dose while preserving image quality. Disadvantages of IR include blotchy image appearance and longer computational time. Future studies need to address differences between IR algorithms for clinical low-dose CT. KEY POINTS: • Iterative reconstruction technology for CT is presented in non-mathematical terms. • IR reduces noise and artefacts compared to filtered back-projection. • IR can improve image quality in routine-dose CT and lower the radiation dose. • IR's disadvantages include longer computation and blotchy appearance of some images.
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