ArticlePediatric radiology2020
Pediatric head computed tomography with advanced modeled iterative reconstruction: focus on image quality and reduction of radiation dose.
Article in Pediatric radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review and Meta-Analysis of Radiation Dose Reduction Studies in Pediatric Head CT.AJNR. American journal of neuroradiology · 2025Pooled it
- Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.Radiologie (Heidelberg, Germany) · 2026Article
- Intra-Individual variation in radiation dose of pediatric head CT: implications for dose optimization.Neuroradiology · 2026Observational
- Deep-learning reconstruction for noncontrast head computed tomography: Improved image quality and potential diagnostic impact in acute ischemic stroke.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
- Comparison of ADMIRE, SAFIRE, and Filtered Back Projection in Standard and Low-Dose Non-Enhanced Head CT.Diagnostics (Basel, Switzerland) · 2025Article
- Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans.Scientific reports · 2024Article
- Pediatric low-dose head CT: Image quality improvement using iterative model reconstruction.The neuroradiology journal · 2023Article
- [Imaging after trauma in clinics and practice for children and adolescents : Part 1 of the results of a nationwide online survey of the Pediatric Traumatology Section of the German Trauma Society].Unfallchirurgie (Heidelberg, Germany) · 2023Article
- Adaptation of Deep Learning Image Reconstruction for Pediatric Head CT: A Focus on the Image Quality.Journal of the Korean Society of Radiology · 2023Article
- Pitfalls in the interpretation of pediatric head CTs: what the emergency radiologist needs to know.Emergency radiology · 2022Review
- Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.BMC medical imaging · 2021Article
- Deep learning-based image reconstruction for brain CT: improved image quality compared with adaptive statistical iterative reconstruction-Veo (ASIR-V).Neuroradiology · 2021Article
- Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach.Korean journal of radiology · 2021Article
- Can QuickBrain MRI replace CT as first-line imaging for select pediatric head trauma?Journal of the American College of Emergency Physicians open · 2020Article
- Cerebral computed tomographic angiography using third-generation reconstruction algorithm provides improved image quality with lower contrast and radiation dose.Neuroradiology · 2020Article
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3 authors.
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Abstract
backgroundIterative reconstruction has become the standard method for reconstructing computed tomography (CT) scans and needs to be verified for adaptation.
objectiveTo assess the image quality after adapting advanced modeled iterative reconstruction (ADMIRE) for pediatric head CT. MATERIALS AND
methodsWe included image sets with filtered back projection reconstruction (the cFBP group, n=105) and both filtered back projection and ADMIRE reconstruction (the lower-dose group, n=109) after dose reduction. All five strength levels of ADMIRE and filtered back projection were adapted for the lower-dose group and compared with the cFBP group. Quantitative parameters including noise, signal-to-noise ratio and contrast-to-noise ratio and qualitative parameters including noise, white matter and gray matter differentiation of the supra- and infratentorial levels, sharpness, artifact, and diagnostic accuracy were also evaluated and compared with interobserver agreement.
resultsThere was a mean dose reduction of 30.6% in CT dose index volume, 32.1% in dose length product, and 32.1% in effective dose after tube current reduction. There was gradual reduction of noise in air, cerebrospinal fluid and white matter with strength levels of ADMIRE from 1 to 5 (P<0.001). Signal-to-noise ratio and contrast-to-noise ratio in all age groups increased among strength levels of ADMIRE, in sequence from 1 to 5, with statistical significance (P<0.001). Gradual reduction of qualitative parameters was noted among strength levels of ADMIRE in sequence from 1 to 5 (P<0.001).
conclusionUse of ADMIRE for pediatric head CT can reduce radiation dose without degrading image quality.
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