ArticleMagnetic resonance in medicine2023
Feasibility of online non-rigid motion correction for high-resolution supine breast MRI.
Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02887053 (Développement Méthodologique de l'Imagerie Par Résonance Magnétique), which is not on this map. Cited by 3 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.
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.
Développement Méthodologique de l'Imagerie Par Résonance Magnétique (IRM)
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Characterizing the imaging environment for supine breast MRI.Magnetic resonance in medicine · 2026Article
- Preliminary evaluation of image quality in supine breast MRI using a dedicated wearable coil and accelerometer-based motion correction.European radiology experimental · 2025Article
- Feasibility of online non-rigid motion correction for high-resolution supine breast MRI.Magnetic resonance in medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeConventional breast MRI is performed in the prone position with a dedicated coil. This allows high-resolution images without breast motion, but the patient position is inconsistent with that of other breast imaging modalities or interventions. Supine breast MRI may be an interesting alternative, but respiratory motion becomes an issue. Motion correction methods have typically been performed offline, for instance, the corrected images were not directly accessible from the scanner console. In this work, we seek to show the feasibility of a fast, online, motion-corrected reconstruction integrated into the clinical workflow.
methodsFully sampled T
resultsOnline reconstruction time was 2 to 2.5 min. The metrics and the scores related to the motion artifacts significantly improved for both T
conclusionThe proposed online algorithm allows a noticeable reduction of motion artifacts and an improvement of the diagnostic quality for supine breast imaging with a clinically acceptable reconstruction time. These findings serve as a starting point for further development aimed at improving the quality of T
Indexed as
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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.