ArticlePloS one2019
Markerless motion tracking and correction for PET, MRI, and simultaneous PET/MRI.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Update on the Use of PET/MRI Contrast Agents and Tracers in Brain Oncology: A Systematic Review.International journal of nanomedicine · 2022Pooled it
- Intra-MRI Head Motion Tracking and Correction: A Quantitative In Vivo Evaluation Framework.NMR in biomedicine · 2026Article
- A dataset of clinical pediatric brain MRI with and without motion correction.Scientific data · 2026Article
- Brain MRI Dataset Featuring a Full Clinical Protocol With and Without Intentional Motion.Scientific data · 2026Article
- PET Head Motion Estimation Using Supervised Deep Learning With Attention.IEEE transactions on medical imaging · 2026Article
- Distortion-free diffusion-weighted imaging using echo planar time-resolved imaging with prospective motion correction: a feasibility study in motion-sensitive patients.Quantitative imaging in medicine and surgery · 2026Article
- A network-assisted joint image and motion estimation approach for robust 3D MRI motion correction across severity levels.Magnetic resonance in medicine · 2026Article
- EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [EJNMMI physics · 2024Article
- Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking.EJNMMI physics · 2024Article
- Article
- Markerless head motion tracking and event-by-event correction in brain PET.Physics in medicine and biology · 2023Article
- Fast Reconstruction for Deep Learning PET Head Motion Correction.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Robust retrospective motion correction of head motion using navigator-based and markerless motion tracking techniques.Magnetic resonance in medicine · 2023Article
- A radiofrequency coil for infants and toddlers.NMR in biomedicine · 2023Article
- Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.NeuroImage · 2023Article
- The MotoNet: A 3 Tesla MRI-Conditional EEG Net with Embedded Motion Sensors.Sensors (Basel, Switzerland) · 2023Article
- Brain PET motion correction using 3D face-shape model: the first clinical study.Annals of nuclear medicine · 2022Article
- Tracking of rigid head motion during MRI using an EEG system.Magnetic resonance in medicine · 2022Article
- Comparison of prospective and retrospective motion correction in 3D-encoded neuroanatomical MRI.Magnetic resonance in medicine · 2022Article
- Synergistic motion compensation strategies for positron emission tomography when acquired simultaneously with magnetic resonance imaging.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Review
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11 authors.
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Abstract
objectiveWe demonstrate and evaluate the first markerless motion tracker compatible with PET, MRI, and simultaneous PET/MRI systems for motion correction (MC) of brain imaging.
methodsPET and MRI compatibility is achieved by careful positioning of in-bore vision extenders and by placing all electronic components out-of-bore. The motion tracker is demonstrated in a clinical setup during a pediatric PET/MRI study including 94 pediatric patient scans. PET MC is presented for two of these scans using a customized version of the Multiple Acquisition Frame method. Prospective MC of MRI acquisition of two healthy subjects is demonstrated using a motion-aware MRI sequence. Real-time motion estimates are accompanied with a tracking validity parameter to improve tracking reliability.
resultsFor both modalities, MC shows that motion induced artifacts are noticeably reduced and that motion estimates are sufficiently accurate to capture motion ranging from small respiratory motion to large intentional motion. In the PET/MRI study, a time-activity curve analysis shows image improvements for a patient performing head movements corresponding to a tumor motion of ±5-10 mm with a 19% maximal difference in standardized uptake value before and after MC.
conclusionThe first markerless motion tracker is successfully demonstrated for prospective MC in MRI and MC in PET with good tracking validity. SIGNIFICANCE: As simultaneous PET/MRI systems have become available for clinical use, an increasing demand for accurate motion tracking and MC in PET/MRI scans has emerged. The presented markerless motion tracker facilitate this demand.
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