ArticleMagnetic resonance in medicine2019
Head motion measurement and correction using FID navigators.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Servo Navigation and Phase Equalization Enhanced by Run-Time Stabilization (PEERS) for 3D EPI Time Series.Magnetic resonance in medicine · 2026Article
- Prospective motion correction with data reacquisition based on fat navigators for T1-weighted brain MRI at 3T.Medical & biological engineering & computing · 2026Article
- Design of Differential Single-Block and Multi-Block Presaturated Ultrashort Echo Time Pulse Sequences for Fast and Flexible Short-TMagnetic resonance in medicine · 2026Article
- Motion- and Field-Robust Mesoscopic Whole-BrainMagnetic resonance in medicine · 2026Article
- Self-Navigated, Retrospective, Data-Consistent Motion Correction for MPnRAGE.Magnetic resonance in medicine · 2026Article
- A network-assisted joint image and motion estimation approach for robust 3D MRI motion correction across severity levels.Magnetic resonance in medicine · 2026Article
- Rapid prospective motion correction using free induction decay and stationary field probe navigators at 7T.Magnetic resonance in medicine · 2025Article
- 3D deuterium metabolic imaging (DMI) of the human liver at 7 T using low-rank and subspace model-based reconstruction.Magnetic resonance in medicine · 2025Article
- Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review.NMR in biomedicine · 2025Review
- Sequence-agnostic motion-correction leveraging efficiently calibrated Pilot Tone signals.Magnetic resonance in medicine · 2024Article
- Distortionless, free-breathing, and respiratory resolved 3D diffusion weighted imaging of the abdomen.Magnetic resonance in medicine · 2024Article
- Awake pediatric brain-MRI: a fast multi-sequence scan augmented with motion compensated single-shot 2D acquisitions.Radiology advances · 2024Article
- Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI.Magnetic resonance in medicine · 2024Article
- Combining the benefits of 3D acquisitions and spiral readouts for VASO fMRI at UHF.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Simultaneous multislice EPI prospective motion correction by real-time receiver phase correction and coil sensitivity map interpolation.Magnetic resonance in medicine · 2023Article
- Robust retrospective motion correction of head motion using navigator-based and markerless motion tracking techniques.Magnetic resonance in medicine · 2023Article
- MP-RAVE: IR-Prepared TMagnetic resonance in medicine · 2023Article
- Motion guidance lines for robust data consistency-based retrospective motion correction in 2D and 3D MRI.Magnetic resonance in medicine · 2023Article
- Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical RNeuroImage · 2023Article
- Prospective motion correction in kidney MRI using FID navigators.Magnetic resonance in medicine · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
purposeTo develop a novel framework for rapid, intrinsic head motion measurement in MRI using FID navigators (FIDnavs) from a multichannel head coil array.
methodsFIDnavs encode substantial rigid-body motion information; however, current implementations require patient-specific training with external tracking data to extract quantitative positional changes. In this work, a forward model of FIDnav signals was calibrated using simulated movement of a reference image within a model of the spatial coil sensitivities. A FIDnav module was inserted into a nonselective 3D FLASH sequence, and rigid-body motion parameters were retrospectively estimated every readout time using nonlinear optimization to solve the inverse problem posed by the measured FIDnavs. This approach was tested in simulated data and in 7 volunteers, scanned at 3T with a 32-channel head coil array, performing a series of directed motion paradigms.
resultsFIDnav motion estimates achieved mean absolute errors of 0.34 ± 0.49 mm and 0.52 ± 0.61° across all subjects and scans, relative to ground-truth motion measurements provided by an electromagnetic tracking system. Retrospective correction with FIDnav motion estimates resulted in substantial improvements in quantitative image quality metrics across all scans with intentional head motion.
conclusionsQuantitative rigid-body motion information can be effectively estimated using the proposed FIDnav-based approach, which represents a practical method for retrospective motion compensation in less cooperative patient populations.
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