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Accelerating Real-time MRI of speech using spiral through-time GRAPPA
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lingala, Sajan Goud Zhu, Yinghua Ji, Yunhua Toutios, Asterios Lo, Wei-Ching Seiberlich, Nicole Narayanan, Shrikanth Nayak, Krishna S. |
| Copyright Year | 2016 |
| Abstract | PURPOSE: Real-time MRI (RT-MRI) is a powerful tool to safely assess and quantify the vocal tract dynamics during speech production. Applications are numerous including addressing open questions in speech science, and informing treatment plans in clinical applications (e.g., oropharyngeal cancer). RT-MRI is intrinsically challenged by trade-offs amongst the spatio-temporal resolution, slice coverage, and signal to noise. Several rapid MRI methods have been previously applied to improve the above trade-offs including non-Cartesian imaging [1], parallel imaging [2], and joint non-Cartesian-parallel imaging with constrained reconstruction [3-5]. In this work, we evaluate the potential of a fast linear reconstruction method through-time GRAPPA (TT-GRAPPA) [6-7] to efficiently exploit the acceleration capabilities offered by a custom 8-channel upper-airway coil and spiral trajectories. We report feasibilities of 3 to 4 fold acceleration, and demonstrate the utility of TT-GRAPPA in improving the temporal resolution and slice-coverage in dynamic speech imaging. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://sail.usc.edu/span/pdfs/lingala2016accelerating.pdf |
| Alternate Webpage(s) | http://sipi.usc.edu/~toutios/pdfs/lingala2016accelerating.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
