ReviewJournal of magnetic resonance imaging : JMRI2016
Recommendations for real-time speech MRI.
Review in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed.
- Multi-Atlas-Based Segmentation of Pediatric Vocal Tract Anatomy in Dynamic Magnetic Resonance Imaging.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Brainstem Circuits for Rhythm Generation and Coordination of Orofacial Movements.Annual review of neuroscience · 2026Review
- GoLoCo-Net: global-local guided contextual attention network for medical images segmentation.Scientific reports · 2026Article
- Extending real-time MRI of the oral cavity using simultaneous multislice and compressed sensing.Magnetic resonance in medicine · 2026Article
- PRORED: a hybrid transformer framework with progressive refinement decoding for segmenting dynamic speech MRI.BJR artificial intelligence · 2026Article
- Motion compensated magnetic resonance imaging of an active sun beetle using an in situ treadmill.Scientific reports · 2025Article
- Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI.ArXiv · 2025Article
- Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks.Journal of voice : official journal of the Voice Foundation · 2025Article
- 3D cine-magnetic resonance imaging using spatial and temporal implicit neural representation learning (STINR-MR).Physics in medicine and biology · 2024Article
- Optimization of 3D dynamic speech MRI: Poisson-disc undersampling and locally higher-rank reconstruction through partial separability model with regional optimized temporal basis.Magnetic resonance in medicine · 2024Article
- Real-time speech MRI datasets with corresponding articulator ground-truth segmentations.Scientific data · 2023Article
- Super-Resolved Dynamic 3D Reconstruction of the Vocal Tract during Natural Speech.Journal of imaging · 2023Article
- Automatic Multiple Articulator Segmentation in Dynamic Speech MRI Using a Protocol Adaptive Stacked Transfer Learning U-NET Model.Bioengineering (Basel, Switzerland) · 2023Article
- Off-resonance artifact correction for MRI: A review.NMR in biomedicine · 2023Review
- A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech.Biomedical signal processing and control · 2023Article
- Quantifying Velopharyngeal Motion Variation in Speech Sound Production Using an Audio-Informed Dynamic MRI Atlas.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Enhancing linguistic research through 2-mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low-rank reconstruction.Magnetic resonance in medicine · 2023Article
- 3D Dynamic Spatiotemporal Atlas of the Vocal Tract during Consonant-Vowel Production from 2D Real Time MRI.Journal of imaging · 2022Article
- Sub-millisecond 2D MRI of the vocal fold oscillation using single-point imaging with rapid encoding.Magma (New York, N.Y.) · 2022Article
- Speech Kinematics and Coordination Measured With an MEG-Compatible Speech Tracking System.Frontiers in neurology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Real-time magnetic resonance imaging (RT-MRI) is being increasingly used for speech and vocal production research studies. Several imaging protocols have emerged based on advances in RT-MRI acquisition, reconstruction, and audio-processing methods. This review summarizes the state-of-the-art, discusses technical considerations, and provides specific guidance for new groups entering this field. We provide recommendations for performing RT-MRI of the upper airway. This is a consensus statement stemming from the ISMRM-endorsed Speech MRI summit held in Los Angeles, February 2014. A major unmet need identified at the summit was the need for consensus on protocols that can be easily adapted by researchers equipped with conventional MRI systems. To this end, we provide a discussion of tradeoffs in RT-MRI in terms of acquisition requirements, a priori assumptions, artifacts, computational load, and performance for different speech tasks. We provide four recommended protocols and identify appropriate acquisition and reconstruction tools. We list pointers to open-source software that facilitate implementation. We conclude by discussing current open challenges in the methodological aspects of RT-MRI of speech.
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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.