Abstract #0032
Optimal trajectory design for higher-dimensional encoding
Kelvin J. Layton 1 , Feng Jia 2 , and Maxim Zaitsev 2
1
Department of Electrical and Electronic
Engineering, The University of Melbourne, Melbourne,
Victoria, Australia,
2
Dept.
of Radiology, Medical Physics, University Medical Center
Freiburg, Freiburg, Germany
Spatial encoding magnetic fields (SEMs) that vary
nonlinearly over the field-of-view have the potential to
accelerate imaging and overcome current safety
limitations. Encoding with combinations of linear and
nonlinear SEMs offer great flexibility but also make
trajectory design difficult, since traditional k-space
is insufficient to represent the higher-dimensional
encoding space. This work presents a new method for
automated trajectory design based on the predicted
variance of the reconstructed pixels. In this way, the
condition of the reconstruction problem is explicitly
considered during trajectory design. Images
reconstructed from simulated data exhibit reduced
artifacts and noise using the proposed trajectory.
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