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Fast radiofrequency flip angle calibration by Bloch-Siegert shift.
Laura I Sacolick1, Ling Sun, Mika W Vogel
1Imaging Technologies Laboratory, General Electric Global Research, Garching b. Munchen, Germany. laura.sacolick@ge.com
Magnetic Resonance in Medicine
|June 21, 2011
Summary
This study introduces a fast, 3-second method for calibrating radiofrequency transmit gain in MRI using the Bloch-Siegert shift. This novel approach accurately predicts flip angles, improving imaging precision in volunteers.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Radiofrequency (RF) Pulse Engineering
Background:
- Accurate radiofrequency (RF) transmit calibration is crucial for quantitative MRI.
- Existing methods can be time-consuming or less precise.
- The Bloch-Siegert shift offers a novel physical principle for B1+ field mapping.
Purpose of the Study:
- To apply a novel Bloch-Siegert shift-based method for automated, fast radiofrequency transmit gain calibration in MRI.
- To validate the accuracy of this calibration method for predicting flip angles.
- To demonstrate a robust and rapid implementation for clinical relevance.
Main Methods:
- Integration of two off-resonance RF pulses into a slice-selective spin echo sequence.
- Utilizing the Bloch-Siegert phase shift, proportional to B1 field squared, for signal modulation.
- Spatial localization via readout gradient and calculation of signal-weighted average B1 field.
- Calibration of system transmit gain to average flip angle for precise RF pulse energy prediction.
Main Results:
- Demonstration of a robust implementation with a scan time of only 3 seconds.
- Successful prediction of transmit gain for a 90° RF pulse.
- In vivo validation in 32 volunteers yielded an average flip angle of 88.6 ± 3.42°.
Conclusions:
- The Bloch-Siegert shift-based method provides a fast and accurate approach for radiofrequency transmit gain calibration in MRI.
- This technique enhances the precision of flip angle control, crucial for quantitative imaging.
- The 3-second calibration time significantly improves efficiency for potential clinical applications.

