Optimization of Bloch-Siegert B1 Mapping Sequence for Maximum Signal to Noise
M. Mehdi Khalighi, Doug Kelley, Jason H. Su, Brian K. Rutt, Adam B., Kerr

TL;DR
This paper presents an optimized approach for Bloch-Siegert B1 mapping that maximizes signal-to-noise ratio by fine-tuning pulse parameters within safety guidelines, improving efficiency over traditional averaging methods.
Contribution
It introduces a method to optimize adiabatic Bloch-Siegert pulses for enhanced SNR in B1 mapping, with derived equations tailored to specific scan conditions.
Findings
Optimized pulse parameters significantly improve SNR.
Increasing TR is more effective than averaging for SNR enhancement.
Derived equations enable tailored pulse design based on tissue and coil properties.
Abstract
Adiabatic Bloch-Siegert B1+ mapping method addresses the long TE and high RF power deposition problems of conventional Bloch-Siegert B1+ mapping by introducing short frequency-swept ABS pulses with maximum sensitivity. Here, it is shown how maximum signal to noise ratio can be achieved in adiabatic Bloch-Siegert B1+ mapping. Signal to noise ratio of B1+ maps is maximized by optimizing the adiabatic pulse parameters such as width, amplitude and shape of the Bloch-Siegert pulse within a specified scan time and under approved SAR guidelines. Equations for optimized Bloch-Siegert pulse parameters are derived, which are dependent on the base pulse sequence used for B1+ mapping as well as tissue properties and transmit coil configuration. It is shown that by this optimization it is more efficient to increase TR rather than using the averaging method to increase signal to noise ratio.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpeech and Audio Processing · Digital Filter Design and Implementation · Radio Astronomy Observations and Technology
MethodsBalanced Selection
