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Abstract #4229

A GA Guided K-Space Sampling for Compressed Sensing MRI

Hua Wang1, Yeyang Yu1, Bing Keong Li1, Adnan Trakic1, Mingjian Hong2, Feng Liu1, Stuart Crozier1

1The University of Queensland, Brisbane, QLD, Australia; 2ChongQing University, ChongQing, China

In this work, we presented a method to optimise the k-space sampling scheme for CS-MRI. The problem was simplified by treating the variable density functions in parts, and optimising the weighting factors with GA. A 2D brain and a 3D apple MRI image reconstruction illustrates an improved imaging quality with this method.