ArticleMagnetic resonance in medicine2017
Feasibility of through-time spiral generalized autocalibrating partial parallel acquisition for low latency accelerated real-time MRI of speech.
Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks.Brain and behavior · 2024Article
- New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal.Magma (New York, N.Y.) · 2024Review
- Real-Time Magnetic Resonance Imaging.Journal of magnetic resonance imaging : JMRI · 2022Review
- A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images.Scientific data · 2021Article
- Realistic Dynamic Numerical Phantom for MRI of the Upper Vocal Tract.Journal of imaging · 2020Article
- Self-calibrated interpolation of non-Cartesian data with GRAPPA in parallel imaging.Magnetic resonance in medicine · 2020Article
- Parallel imaging and convolutional neural network combined fast MR image reconstruction: Applications in low-latency accelerated real-time imaging.Medical physics · 2019Article
- Intermittently tagged real-time MRI reveals internal tongue motion during speech production.Magnetic resonance in medicine · 2019Article
- 3D dynamic MRI of the vocal tract during natural speech.Magnetic resonance in medicine · 2019Article
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9 authors at 2 institutions in 1 country.
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Abstract
purposeTo evaluate the feasibility of through-time spiral generalized autocalibrating partial parallel acquisition (GRAPPA) for low-latency accelerated real-time MRI of speech.
methodsThrough-time spiral GRAPPA (spiral GRAPPA), a fast linear reconstruction method, is applied to spiral (k-t) data acquired from an eight-channel custom upper-airway coil. Fully sampled data were retrospectively down-sampled to evaluate spiral GRAPPA at undersampling factors R = 2 to 6. Pseudo-golden-angle spiral acquisitions were used for prospective studies. Three subjects were imaged while performing a range of speech tasks that involved rapid articulator movements, including fluent speech and beat-boxing. Spiral GRAPPA was compared with view sharing, and a parallel imaging and compressed sensing (PI-CS) method.
resultsSpiral GRAPPA captured spatiotemporal dynamics of vocal tract articulators at undersampling factors ≤4. Spiral GRAPPA at 18 ms/frame and 2.4 mm
conclusionSpiral GRAPPA enabled 4-fold accelerated real-time MRI of speech with a low reconstruction latency. This approach is applicable to wide range of speech RT-MRI experiments that benefit from real-time feedback while visualizing rapid articulator movement. Magn Reson Med 78:2275-2282, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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