ArticleScientific reports2022
Structured analysis of the impact of fetal motion on phase-contrast MRI flow measurements with metric optimized gating.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Following the flow: in vivo imaging of fetal foramen ovale physiology using four-dimensional flow magnetic resonance imaging with doppler ultrasound gating.Radiology case reports · 2026Article
- The onset of coarctation of the aorta before birth: Mechanistic insights from fetal arch anatomy and haemodynamics.Computers in biology and medicine · 2024Article
- Structural and functional fetal cardiac imaging using low field (0.55 T) MRI.Frontiers in pediatrics · 2024Article
- Fetal cardiovascular blood flow MRI: techniques and applications.The British journal of radiology · 2023Review
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
The impact of fetal motion on phase contrast magnetic resonance imaging (PC-MRI) with metric optimized gating (MOG) remains unknown, despite being a known limitation to prenatal MRI. This study aims to describe the effect of motion on fetal flow-measurements using PC-MRI with MOG and to generate a scoring-system that could be used to predict motion-corrupted datasets at the time of acquisition. Ten adult volunteers underwent PC-MRI with MOG using a motion-device to simulate reproducible in-plane motion encountered in fetuses. PC-MRI data were acquired on ten fetuses. All ungated images were rated on their quality from 0 (no motion) to 2 (severe motion). There was no significant difference in measured flows with in-plane motion during the first and last third of sequence acquisition. Movement in the middle section of acquisition produced a significant difference while all referring ungated images were rated with a score of 2. Intra-Class-Correlation (ICC) for flow-measurements in adult and fetal datasets was lower for datasets with scores of 2. For fetal applications, the use of a simple three-point scoring system reliably identifies motion-corrupted sequences from unprocessed data at the time of acquisition, with a high score corresponding to significant underestimation of flow values and increased interobserver variability.
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Registered trials
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