ArticlePolish journal of radiology2017
Iterative Reconstruction as a Method for Optimisation of Computed Tomography Procedures.
Article in Polish journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and meta-analysis of randomized controlled trials comparing low-dose versus standard-dose computed tomography-guided lung biopsy.Journal of cardiothoracic surgery · 2024Pooled it
- Article
- Noise-Optimized CBCT Imaging of Temporomandibular Joints-The Impact of AI on Image Quality.Journal of clinical medicine · 2024Article
- Effect of iterative reconstruction techniques on image quality in low radiation dose chest CT: a phantom study.Diagnostic and interventional radiology (Ankara, Turkey) · 2019Article
- Optimizing Positron Emission Tomography-Computed Tomography Image Quality with Iterative Reconstruction: A NEMA Phantom Study.Journal of medical physicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputed tomography (CT) is still commonly regarded as a method that causes a high radiation exposure. For that reason, producers intensively try to find new solutions for dose reduction while maintaining a high diagnostic value of images. One of the recent strategies focuses on CT image reconstruction. Iterative reconstruction (IR) is an alternative for filtered back projection (FBP) that is commonly used today.The aim of the article is to demonstrate and compare the effects of two IR algorithms on dose value and image details. MATERIAL/
methodsInvestigations were performed on two 128 multi-detector (MDCT) CT scanners: - iCT (Philips Healthcare with iDose
resultsThe signal-to-noise ratios (SNR) in the images reconstructed with IR and FBP were analysed, and the SNR(IR)/SNR(FBP) ratios were calculated and correlated with CTDI
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.