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Abstract #2604

An Efficient Compressed Sensing Reconstruction Robust to Phase Variation on MR Images

Satoshi Ito1, Kazuki Nakamura1, Yoshifumi Yamada1

1Research Division of Intelligence and Information Sciences, Utsunomiya University, Utsunomiya, Tochigi, Japan

We present a new Compressed Sensing reconstruction that is robust to phase variations in MR images. When the signal trajectory in k-space is symmetrical with respect to its origin, the k-space signal corresponding to the real and imaginary parts of the complex image can be synthesized independently by restricting the k-space signal to an even function or an odd function. The proposed method involves random but symmetrical k-space acquisition and independent reconstruction of the real and imaginary parts of images using the real-valued constraint.