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A SEmi-Adiabatic matched-phase spin echo (SEAMS) PINS pulse-pair for B1 -insensitive simultaneous multislice imaging
Rebecca E Feldman1, Haisam M Islam2, Junqian Xu1,3
1Translational and Molecular Imaging Institution, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Simultaneous multislice (SMS) imaging at 7 Tesla is improved with a novel SEAMS PINS sequence. This technique offers better B1-insensitivity for faster, more robust magnetic resonance imaging.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biophysics
- Pulse Sequence Design
Background:
- Simultaneous multislice (SMS) imaging accelerates MRI acquisition.
- High magnetic fields (e.g., 7 Tesla) present challenges for SMS spin echo imaging due to RF inhomogeneity and power deposition.
- Existing SMS techniques struggle with B1-field variations at higher field strengths.
Purpose of the Study:
- To develop a novel pulse sequence for robust SMS spin echo imaging at high magnetic fields.
- To address challenges of RF inhomogeneity and power deposition in 7 Tesla SMS imaging.
- To design an adiabatic Power Independent of Number of Slices (PINS) pulse pair for improved B1-insensitivity.
Main Methods:
- Designed an adiabatic 180° PINS pulse using the Shinnar Le-Roux (SLR) algorithm.
- Generated a matched-phase 90° PINS pulse from the SLR polynomials.
- Developed the SEmi-Adiabatic Matched-phase Spin echo (SEAMS) PINS sequence.
- Validated the pulse-pair performance in phantom and in vivo experiments.
Main Results:
- Simulations, phantom, and in vivo results confirmed multislice imaging capability.
- The SEAMS PINS pulse-pair demonstrated improved B1-insensitivity.
- Effective performance was observed at RF amplitudes up to 40% above the adiabatic threshold.
Conclusions:
- The SEAMS PINS approach enables multislice spin echo imaging with enhanced B1-insensitivity.
- This method offers a significant improvement over conventional spin echo sequences in challenging high-field environments.
- The developed sequence is suitable for applications requiring faster and more reliable MRI acquisition at 7 Tesla.
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