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Abstract #4678

Encoding trajectory optimization based on the pixel variance using graphics processing units

Ali Sadr1, Stefan Kroboth1, Elmar Fischer1, Feng Jia1, Sebastian Littin1, Huijun Yu1, J├╝rgen Hennig1, and Maxim Zaitsev1

1Dept. of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany

Undersampled trajectories were optimized for parallel imaging with explicit consideration of the RF coil sensitivities in order to complement the RF coil elements. A second-order approximation of pixel variance was used as a metric to evaluate encoding trajectories and also serves as the cost function in the optimization problem, solved using Simulated Annealing. The metric was implemented on a Graphical Processing Unit (GPU) to accelerate computations. The developed method was evaluated on two test cases with Cartesian and radial sampling for isotropic and anisotropic fields-of-view. Resulting optimized trajectories led to improved image quality, more uniform SNR and reduced g-factors.

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