ArticleBMC medical imaging2018
A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images.
Article in BMC medical imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Elective one-minute full brain multi-contrast MRI versus brain CT in pediatric patients: a prospective feasibility study.BMC medical imaging · 2024Trial
- Deep Learning-Based Reconstruction Improves Image Quality in Canine Cranial Abdominal MRI: A Prospective Pilot Study.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026Article
- Image Dataset of Microfauna in Activated Sludge.Scientific data · 2025Article
- Water-soluble fluorinated copolymers as highly sensitiveMaterials today. Bio · 2025Article
- Deep learning MR reconstruction in knees and ankles in children and young adults. Is it ready for clinical use?Skeletal radiology · 2025Article
- Single-Step Synthesis of Highly SensitiveBiomacromolecules · 2024Article
- Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study.Neuroinformatics · 2024Article
- A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets.Medical & biological engineering & computing · 2023Article
- Fiber tract integrity in patients with brain injury and chronic health symptoms.Neuroimage. Reports · 2021Article
- Multivariate Analysis of Concrete Image Using Thermography and Edge Detection.Sensors (Basel, Switzerland) · 2021Article
- Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning.Computer methods and programs in biomedicine · 2021Article
- Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment.Sensors (Basel, Switzerland) · 2021Article
- Magnetic Resonance Image Quality Assessment by Using Non-Maximum Suppression and Entropy Analysis.Entropy (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundQuality assessment of medical images is highly related to the quality assurance, image interpretation and decision making. As to magnetic resonance (MR) images, signal-to-noise ratio (SNR) is routinely used as a quality indicator, while little knowledge is known of its consistency regarding different observers.
methodsIn total, 192, 88, 76 and 55 brain images are acquired using T
resultsTo the same TOI in each MR imaging sequence, less than 6% voxels are overlapped between manual delineations. In the quality estimation of MR images, statistical analysis indicates no significant difference between observers (Wilcoxon rank sum test, p
conclusionsThe consistency of SNR measurement is validated regarding various observers and MR imaging protocols. When SNR measurement performs as the quality indicator of MR images, BRISQUE and BLIINDS-II can be conditionally used for the automated quality estimation of human brain MR images.
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.