Journal article
Dynamic off-resonance correction for spiral real-time MRI of speech
Magnetic resonance in medicine, Vol.81(1), pp.234-246
01/2019
DOI: 10.1002/mrm.27373
PMCID: PMC6258270
PMID: 30058147
Abstract
To 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.
The 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.
Simulations 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.
Dynamic 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.
Details
- Title: Subtitle
- Dynamic off-resonance correction for spiral real-time MRI of speech
- Creators
- Yongwan Lim - University of Southern CaliforniaSajan Goud Lingala - University of Southern CaliforniaShrikanth S Narayanan - University of Southern CaliforniaKrishna S Nayak - University of Southern California
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance in medicine, Vol.81(1), pp.234-246
- DOI
- 10.1002/mrm.27373
- PMID
- 30058147
- PMCID
- PMC6258270
- ISSN
- 0740-3194
- eISSN
- 1522-2594
- Grant note
- R01 DC007124 / NIDCD NIH HHS NIH Clinical Center R01DC007124 / NIH HHS 1514544 / National Science Foundation
- Language
- English
- Date published
- 01/2019
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology
- Record Identifier
- 9984197141102771
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