ArticleJournal of biomedical physics & engineering2021
An Improved Method of Automated Noise Measurement System in CT Images.
Article in Journal of biomedical physics & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Objective assessment of diagnostic image quality in CT scans: what radiologists and researchers need to know.Insights into imaging · 2025Review
- An automated technique for global noise level measurement in CT image with a conjunction of image gradient.Physics in medicine and biology · 2024Article
- Improvement of Neurovascular Imaging Using Ultra-High-Resolution Computed Tomography Angiography.Clinical neuroradiology · 2024Article
- Ensemble classification of integrated CT scan datasets in detecting COVID-19 using feature fusion from contourlet transform and CNN.Scientific reports · 2023Article
- Ultra-High-Resolution CT of the Head and Neck with Deep Learning Reconstruction-Assessment of Image Quality and Radiation Exposure and Intraindividual Comparison with Normal-Resolution CT.Diagnostics (Basel, Switzerland) · 2023Article
- Evaluation and comparison of performance of low-dose 128-slice CT scanner with different mAs values: A phantom study.Journal of carcinogenesis · 2021Article
- Noise Reduction in CT Images Using a Selective Mean Filter.Journal of biomedical physics & engineering · 2020Article
- Deep Learning-Based Image Noise Quantification Framework for Computed Tomography.Journal of computer assisted tomographyArticle
- A Practical Method for Slice Spacing Measurement Using the American Association of Physicists in Medicine Computed Tomography Performance Phantom.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is necessary to have an automated noise measurement system working accurately to optimize dose in computerized tomography (CT) examinations.
objectiveThis study aims to develop an algorithm to automate noise measurement that can be implemented in CT images of all body regions. MATERIALS AND
methodsIn this retrospective study, our automated noise measurement method consists of three steps as follows: the first is segmenting the image of the patient. The second is developing a standard deviation (SD) map by calculating the SD value for each pixel with a sliding window operation. The third step is estimating the noise as the smallest SD from the SD map. The proposed method was applied to the images of a homogenous phantom and a full body adult anthropomorphic phantom, and retrospectively applied to 27 abdominal images of patients.
resultsFor a homogeneous phantom, the noises calculated using our proposed and previous algorithms have a linear correlation with R
conclusionAn automated noise calculation has been proposed and successfully implemented in all body regions. It is not only accurate and easy to implement but also not influenced by the subjectivity of user.
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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.