ArticleMagnetic resonance in medicine2019
Dynamic off-resonance correction for spiral real-time MRI of speech.
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 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- Increasing the scan-efficiency of pulmonary imaging at 0.55 T using iterative concomitant field and motion-corrected reconstruction.Magnetic resonance in medicine · 2024Article
- Evaluation of a novel 8-channel RX coil for speech production MRI at 0.55 T.Magma (New York, N.Y.) · 2023Article
- Off-resonance artifact correction for MRI: A review.NMR in biomedicine · 2023Review
- Dynamic MRI of swallowing: real-time volumetric imaging at 12 frames per second at 3 T.Magma (New York, N.Y.) · 2022Article
- Variation in compensatory strategies as a function of target constriction degree in post-glossectomy speech.JASA express letters · 2022Article
- Self-gated 3D stack-of-spirals UTE pulmonary imaging at 0.55T.Magnetic resonance in medicine · 2022Article
- Real-Time Magnetic Resonance Imaging.Journal of magnetic resonance imaging : JMRI · 2022Review
- Aliasing artifact reduction in spiral real-time MRI.Magnetic resonance in medicine · 2021Article
- A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images.Scientific data · 2021Article
- Real-time dynamic vocal tract imaging using an accelerated spiral GRE sequence and low rank plus sparse reconstruction.Magnetic resonance imaging · 2021Article
- Complexity of vocal tract shaping in glossectomy patients and typical speakers: A principal component analysis.The Journal of the Acoustical Society of America · 2021Article
- Deblurring for spiral real-time MRI using convolutional neural networks.Magnetic resonance in medicine · 2020Article
- Realistic Dynamic Numerical Phantom for MRI of the Upper Vocal Tract.Journal of imaging · 2020Article
- Improved real-time tagged MRI using REALTAG.Magnetic resonance in medicine · 2020Article
- Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI.Radiology · 2019Article
- Intermittently tagged real-time MRI reveals internal tongue motion during speech production.Magnetic resonance in medicine · 2019Article
- A multifunction digital receiver suitable for real-time frequency detection and compensation in fast magnetic resonance imaging.The Review of scientific instruments · 2019Article
- 3D dynamic MRI of the vocal tract during natural speech.Magnetic resonance in medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo improve the depiction and tracking of vocal tract articulators in spiral real-time MRI (RT-MRI) of speech production by estimating and correcting for dynamic changes in off-resonance.
methodsThe proposed method computes a dynamic field map from the phase of single-TE dynamic images after a coil phase compensation where complex coil sensitivity maps are estimated from the single-TE dynamic scan itself. This method is tested using simulations and in vivo data. The depiction of air-tissue boundaries is evaluated quantitatively using a sharpness metric and visual inspection.
resultsSimulations demonstrate that the proposed method provides robust off-resonance correction for spiral readout durations up to 5 ms at 1.5T. In -vivo experiments during human speech production demonstrate that image sharpness is improved in a majority of data sets at air-tissue boundaries including the upper lip, hard palate, soft palate, and tongue boundaries, whereas the lower lip shows little improvement in the edge sharpness after correction.
conclusionDynamic off-resonance correction is feasible from single-TE spiral RT-MRI data, and provides a practical performance improvement in articulator sharpness when applied to speech production imaging.
Indexed as
Identifiers
What OpenQuestion holds
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.