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Abstract #4231

Optimizing Spars 3D-MRI Using Cubic Compressed Sensing Reconstruction Method

Jian-Xiong Wang1

1Applied Science Laboratory, GE Healthcare, London, ON, Canada

This work demonstrated that true 3D, or Cubic, Compressed Sensing reconstruction method not only reduced the computation time by about a factor of two, but also greatly increased image quality for Sparse MRI.

Keywords

acquiring acquisition applied artifact author better birdcage bottom boundary channel close coil columns comparing component compressed computation computational conjugate converted cubic defined detail details dimension easy effective encoding entire equal especially format frequency full gradient greatly head healthy helps human implementation improves interfaces journal laboratory loss maintain maintains majority mathematics matrix model nature noise normally operators optimizing problem process property quality reasonable reconstructed reconstruction reduce reduced reduces reduction represent represents resists respectively sampled scanner science script selected sensing significantly slice slices space spars sparse sparseness sparsity stack subject suffer thank tissue transferred treated treatment true unity variables volumetric volunteer want wavelet yuan