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Updated: May 22, 2026

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures
Published on: May 7, 2017
Fast joint design method for parallel excitation radiofrequency pulse and gradient waveforms considering
Daehyun Yoon1, Jeffrey A Fessler, Anna C Gilbert
1Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.
A novel algorithm optimizes magnetic resonance imaging (MRI) excitation pulse design by selecting and ordering phase-encoding (PE) locations. This method accounts for B(0) field inhomogeneity, improving excitation accuracy and PE location ordering.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Pulse Sequence Design
- Medical Physics
Background:
- Optimizing k-space trajectories is crucial for efficient MRI data acquisition.
- Previous research has explored optimal phase-encoding (PE) location selection, but the impact of B(0) field inhomogeneity on this selection and ordering remains underexplored.
Purpose of the Study:
- To introduce a fast parallel algorithm for designing excitation pulses in Echo-Volumar (EV) trajectories.
- To investigate the benefits of considering B(0) field inhomogeneity during PE location selection and ordering.
- To improve excitation accuracy and provide effective PE location ordering.
Main Methods:
- Development of a novel fast greedy algorithm for PE location selection and ordering.
- Incorporation of B(0) field inhomogeneity (off-resonance effects) into the algorithm's decision-making process.
- Computer simulations to evaluate the algorithm's performance, including B(1) field inhomogeneity correction.
Main Results:
- The proposed algorithm effectively determines PE locations and their order while accounting for off-resonance effects.
- Simulations demonstrate improved excitation accuracy compared to methods not considering B(0) inhomogeneity.
- The algorithm provides an effective ordering of PE locations, enhancing trajectory performance.
Conclusions:
- The developed fast greedy algorithm offers a significant advancement in excitation pulse design for EV trajectories.
- Considering B(0) field inhomogeneity during PE location selection and ordering leads to improved MRI excitation accuracy.
- This approach provides a practical solution for optimizing k-space trajectories in the presence of field inhomogeneities.
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