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Pulse encoding for ZTE imaging: RF excitation without dead-time penalty
Romain Froidevaux1, Markus Weiger1, Klaas P Pruessmann1
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.
Magnetic Resonance in Medicine
|November 14, 2021
Summary
This study introduces ZTE with pulse encoding, a novel MRI technique that retrieves data missed during RF excitation dead time. This method enhances signal-to-noise ratio (SNR) efficiency and T1 contrast, broadening applications for zero-TE MRI.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Pulse Sequence Design
- Signal Processing
Background:
- Zero-TE (ZTE) MRI faces limitations due to RF excitation pulse duration.
- Missed data during pulse dead time reduces image quality and SNR efficiency.
Purpose of the Study:
- To overcome limitations in RF excitation duration in ZTE MRI.
- To retrieve data missed during pulse dead time by exploiting intrinsic RF pulse encoding properties.
Main Methods:
- Developed an enhanced ZTE signal model using multiple RF pulses.
- Implemented ZTE with pulse encoding by acquiring two ZTE datasets with slightly different frequency-swept pulses.
- Demonstrated the method on phantoms and in vivo experiments.
Main Results:
- Achieved good image quality with unprecedented dead-time gaps (up to 6 Nyquist dwells).
- Demonstrated approximately 2-fold improvements in SNR efficiency compared to conventional ZTE in head imaging.
- Enabled the creation of T1 contrast by using longer excitation pulses.
Conclusions:
- Exploiting intrinsic RF pulse encoding properties allows algebraic reconstruction of ZTE data with large dead-time gaps.
- Permits larger flip angles, enhancing T1 contrast and SNR efficiency.
- Broadens the application range of ZTE MRI.
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