ReviewPediatric radiology2020
Image-quality optimization and artifact reduction in fetal magnetic resonance imaging.
Review in Pediatric radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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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.
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Who cites it
12 citing papers in PubMed.
- Validation and feasibility of a deep learning-based reconstruction technology in 5.0 tesla knee joint MR imaging.Frontiers in radiology · 2026Article
- Fetal Cardiovascular Magnetic Resonance: History, Current Status, and Future Directions.Journal of magnetic resonance imaging : JMRI · 2025Review
- Improved Fetal Magnetic Resonance Imaging Using a Flexible Metasurface.NMR in biomedicine · 2025Article
- Uncertainty Quantification in SAR Induced by Ultra-High-Field MRI RF Coil via High-Dimensional Model Representation.Bioengineering (Basel, Switzerland) · 2024Article
- Utility of Fetal Cardiac Resonance Imaging in Prenatal Clinical Practice: Current State of the Art.Diagnostics (Basel, Switzerland) · 2023Review
- Fetal cardiovascular blood flow MRI: techniques and applications.The British journal of radiology · 2023Review
- Fetal MRI at 3 T: Principles to Optimize Success.Radiographics : a review publication of the Radiological Society of North America, Inc · 2023Article
- The potential of 1.5 T magnetic resonance imaging for the evaluation of fetal anomalies of the great vessels.Frontiers in pediatrics · 2023Article
- Image quality and evaluation ability of magnetic resonance imaging techniques for thyroid-associated ophthalmopathy: Dixon fat-suppression technique vs. spectral attenuated inversion recovery.Frontiers in medicine · 2023Article
- Feasibility of Non-Gated Dynamic Fetal Cardiac MRI for Identification of Fetal Cardiovascular Anatomy.Fetal diagnosis and therapy · 2023Article
- Attention-guided deep learning for gestational age prediction using fetal brain MRI.Scientific reports · 2022Article
- Fetal Neuroimaging Updates.Magnetic resonance imaging clinics of North America · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fetal MRI allows for earlier and better detection of complex congenital anomalies. However, its diagnostic utility is often limited by technical barriers that introduce artifacts and reduce image quality. The main determinants of fetal MR image quality are speed of acquisition, spatial resolution and signal-to-noise ratio (SNR). Imaging optimization is a challenge because a change to improve one scan parameter often leads to worsening of another. Moreover, the recent introduction of fetal MRI on 3-tesla (T) scanners to achieve better SNR can amplify some technical issues. Motion, banding artifacts and aliasing artifacts impact the quality of fetal acquisitions at any field strength. High specific absorption rate (SAR) and artifacts from inhomogeneities in the radiofrequency field are important limitations of high-field-strength imaging. We discuss technical barriers that impact image quality and are important limitations to prenatal MRI diagnosis, and propose solutions to improve image quality and reduce artifacts.
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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.