Real-time dynamic vocal tract imaging using an accelerated spiral GRE sequence and low rank plus sparse...

Area of Science:

• Magnetic Resonance Imaging
• Medical Imaging
• Image Reconstruction

Background:

• Real-time dynamic imaging is crucial for capturing physiological processes like speech.
• Spiral k-space sampling offers high acquisition efficiency for dynamic MRI.
• Low rank plus sparse reconstruction methods enhance image quality and motion robustness.

Purpose of the Study:

• To develop and validate a real-time dynamic vocal tract imaging method.
• To combine accelerated spiral GRE sequences with optimized low rank plus sparse reconstruction.
• To compare the proposed method against existing techniques like L1-SPIRiT and XD-GRASP.

Main Methods:

• An accelerated spiral GRE sequence was developed and optimized.
• A low rank plus sparse reconstruction algorithm was implemented and tuned.
• Off-resonance artifacts were corrected using Chebyshev approximation for reduced blurring.

Main Results:

• The optimized low rank plus sparse reconstruction outperformed L1-SPIRiT and XD-GRASP.
• Achieved spatial resolution of 1.3*1.3 mm² and temporal resolution of 30 fps.
• Demonstrated reduced aliasing, improved SNR, and minimized blurring.

Conclusions:

• The developed method provides high-quality, real-time dynamic vocal tract imaging.
• This technique shows significant potential for advancing speech disorder research.
• The combination of spiral imaging and low rank plus sparse reconstruction is effective.