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Magnetic Resonance in Medicine
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
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Magnetic Resonance in Medicine
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Radiofrequency pulse design using nonlinear gradient magnetic fields

Authors: Emre, Kopanoglu; R Todd, Constable;

Radiofrequency pulse design using nonlinear gradient magnetic fields

Abstract

PurposeAn iterative k‐space trajectory and radiofrequency (RF) pulse design method is proposed for excitation using nonlinear gradient magnetic fields.Theory and MethodsThe spatial encoding functions (SEFs) generated by nonlinear gradient fields are linearly dependent in Cartesian coordinates. Left uncorrected, this may lead to flip angle variations in excitation profiles. In the proposed method, SEFs (k‐space samples) are selected using a matching pursuit algorithm, and the RF pulse is designed using a conjugate gradient algorithm. Three variants of the proposed approach are given: the full algorithm, a computationally cheaper version, and a third version for designing spoke‐based trajectories. The method is demonstrated for various target excitation profiles using simulations and phantom experiments.ResultsThe method is compared with other iterative (matching pursuit and conjugate gradient) and noniterative (coordinate‐transformation and Jacobian‐based) pulse design methods as well as uniform density spiral and EPI trajectories. The results show that the proposed method can increase excitation fidelity.ConclusionAn iterative method for designing k‐space trajectories and RF pulses using nonlinear gradient fields is proposed. The method can either be used for selecting the SEFs individually to guide trajectory design, or can be adapted to design and optimize specific trajectories of interest. Magn Reson Med 74:826–839, 2015. © 2014 Wiley Periodicals, Inc.

Related Organizations
Keywords

Phantoms, Imaging, Radio Waves, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Algorithms

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Average
bronze