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Abstract #3732

Compressed sensing reconstruction with higher-order off-resonance correction using the cross-sampling and the time-segmented method

Daiki Tamada 1 and Katsumi Kose 1

1 Institute of Applied Physics, University of Tsukuba, Tsukuba, Ibaraki, Japan

To design incoherent trajectories is important to achieve an efficient compressed sensing (CS) reconstruction. However, in practice, CS reconstruction using non-Cartesian sampling trajectories suffer from the off-resonance effect, which makes image distortion and artifacts. To overcome this problem, we developed a new CS reconstruction strategy using a cross-sampling, and a time-segmented off-resonance correction method. A B 0 distribution map used for the off-resonance correction was estimated using an image registration based method. And a wavelet regularized split Bregman method was used for the reconstruction. Imaging experiments of a chemically fixed mouse demonstrated usefulness of our method.

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