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Active control of the spatial MRI phase distribution with optimal control theory
Pauline M Lefebvre1, Eric Van Reeth1, Hélène Ratiney1
1Univ.Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 3 rue Victor Grignard, F-69616 Lyon, France.
Summary
Optimal Control theory designs Radio-Frequency pulses to precisely control MRI magnetization phase patterns. This method enables novel phase encoding for advanced MRI applications.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Optimal Control Theory
- Pulse Sequence Design
Background:
- Controlling spatial phase distribution in MRI is crucial for advanced imaging techniques.
- Existing methods for RF pulse design have limitations in achieving complex phase patterns.
- Optimal Control (OC) offers a powerful framework for designing sophisticated RF pulses.
Purpose of the Study:
- To investigate the application of Optimal Control theory for designing Radio-Frequency (RF) pulses.
- To achieve active control over the spatial distribution of MRI magnetization phase.
- To generate non-trivial spatial phase patterns for enhanced MRI capabilities.
Main Methods:
- Utilized the Pontryagin Maximum Principle to generate optimized RF pulses.
- Designed pulses to reproduce specific, complex spatial phase patterns in transverse magnetization.
- Validated the designed pulses through numerical simulations (ODIN MRI simulator) and experimental MRI (4.7T small-animal scanner).
Main Results:
- Simulations and experiments successfully demonstrated the ability of OC-designed RF pulses to generate desired spatial phase patterns.
- Phase images obtained from both numerical and experimental tests accurately reflected the targeted phase distributions.
- A practical application showcased the generation of RF pulses for Magnetic Resonance Elastography.
Conclusions:
- Optimal Control theory is a viable method for designing RF pulses that encode information within the MRI magnetization phase.
- OC-designed pulses offer precise control over spatial phase, enabling new possibilities in MRI.
- This approach has potential applications in MRI sequences that rely on phase imaging and advanced contrast generation.

