ArticleNMR in biomedicine2025
Prospective 3D Fat Navigator (FatNav) motion correction for 7T Terra MRI.
Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Prospective motion correction with data reacquisition based on fat navigators for T1-weighted brain MRI at 3T.Medical & biological engineering & computing · 2026Article
- A Multi-view Open-access Dataset of Paired Knee MRI for Motion Artifact Removal.Scientific data · 2025Article
- Prospective 3D Fat Navigator (FatNav) motion correction for 7T Terra MRI.NMR in biomedicine · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Ultra-high field (7T) MRI allows scans at sub-millimetre resolution with exquisite signal-to-noise ratio (SNR). As 7T MRI becomes more widely used clinically, the challenge of patient motion must be overcome. Retrospective motion correction is used successfully for some protocols, but for acquisitions such as slice-by-slice scans only prospective motion correction can deliver the full potential of 7T MRI. We report the first implementation of prospective 3D Fat Navigator ("FatNav") motion correction for the Siemens 7T Terra MRI. We implemented a modular Sequence Building Block for FatNav and embedded it into the vendor's gradient-recalled echo (GRE) sequence. We modified the reconstruction pipeline to reconstruct FatNav images online, coregistering them and sending motion updates to the host sequence online. We tested five registration algorithms for performance and accuracy on synthetic FatNav data. We implemented the best three of these in our sequence and tested them online. We acquired T
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