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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