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Prospectively accelerated dynamic speech magnetic resonance imaging at 3 T using a self-navigated spiral-based
Rushdi Zahid Rusho1, Abdul Haseeb Ahmed2, Stanley Kruger3
1Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA.
NMR in Biomedicine
|March 5, 2024
Summary
This study introduces a novel self-navigated manifold regularization for dynamic speech MRI, achieving high spatiotemporal resolution. The method significantly improves image quality by reducing blurring compared to existing techniques.
Area of Science:
- Medical Imaging
- Magnetic Resonance Imaging (MRI)
- Speech Science
Background:
- Dynamic speech Magnetic Resonance Imaging (MRI) requires high spatiotemporal resolution for accurate vocal tract visualization.
- Existing reconstruction methods face limitations in achieving sufficient resolution and minimizing artifacts during speech tasks.
- Variable density spiral (VDS) acquisition and manifold regularization offer potential for improved dynamic MRI.
Purpose of the Study:
- To develop and evaluate a self-navigated VDS-based manifold regularization scheme for dynamic speech MRI at 3 Tesla.
- To prospectively improve image quality and spatiotemporal resolution in dynamic speech MRI.
- To compare the proposed method against existing reconstruction constraints.
Main Methods:
- Utilized short readout duration spirals (1.3 ms) and a custom 16-channel speech coil for reduced off-resonance effects and improved parallel imaging.
- Employed a manifold model leveraging frame similarities and VDS self-navigation to learn Laplacian structure for reconstruction.
- Compared manifold regularization with view-sharing, low-rank, temporal finite difference, and extra dimension-based sparsity constraints using undersampling experiments.
Main Results:
- The manifold regularization scheme demonstrated superior performance in reducing spatial and temporal blurring compared to all other tested constraints.
- Achieved high spatiotemporal resolutions: 2.4 x 2.4 mm²/pixel spatial and 17.4 ms/frame (single-slice) or 52.2 ms/frame (three-slice) temporal resolution.
- Showed statistically significant improvements in image quality over most constraints, with minimal, nonsignificant alias artifacts comparable to temporal finite difference.
Conclusions:
- The self-navigated manifold regularized scheme enables robust, high spatiotemporal resolution dynamic speech MRI at 3T.
- This approach effectively addresses challenges in dynamic speech imaging, offering improved visualization of articulatory motion.
- The method provides a significant advancement for speech research and related clinical applications requiring detailed vocal tract dynamics.
