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Meeting Abstract

A Parallel Transmit Spectral-Spatial Pulse Design Method for Ultra-High Field MRS Combining LSQR and Optimal Control Based Optimization

MPG-Autoren
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Shao,  T
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Avdievich,  NI
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Glaser,  S
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Henning,  A
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen

http://www.ismrm.org/15/program_files/ThuSci13.htm
(Verlagsversion)

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Zitation

Shao, T., Zhang, Y., Avdievich, N., Glaser, S., & Henning, A. (2015). A Parallel Transmit Spectral-Spatial Pulse Design Method for Ultra-High Field MRS Combining LSQR and Optimal Control Based Optimization. In 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015).


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-002A-45CD-7
Zusammenfassung
This work presents a new spectral-spatial (SPSP) parallel transmit pulse design method for 1H MRS applications in ultra-high field MRI. Based on the recently developed parallel transmission technology, the pulse is first designed by using a subspace preconditioned LSQR method in purpose of locating a global minimum, and is afterwards optimized by using a quasi-Newton based optimal control (OC) method to find a local minimum answer. By combining these two algorithms in this way, SPSP pulses that offer increased robustness against B1+ inhomogeneity and minimized chemical shift displacement artifacts can be achieved and therefore adopted in MRS applications.