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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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