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Abstract #2699

Data driven sampling of k-space using GO-Active technique

Pavan poojar1,2, Ashok kumar reddy2, Amaresha Shridhar Konar1, Ramesh Venkatesan2, and Sairam Geethanath1,3

1Medical Imaging Research Centre, Dayananda Sagar Institutions, Bangalore, India, 2GE, Healthcare, Bangalore, India, 3Dept. of Radiology, Columbia University Medical Center, New York, NY, United States

The extensive coverage of k-space data on a standard MRI scanner requires long acquisition times. In dynamic MRI methods such as DCE-MRI, cardiac MRI, DWI, etc., the shape of the significant values in k-space depends on the structure of the organ and temporal events. The proposed method generates the arbitrary k-space trajectory and optimizes the gradient waveforms by utilizing GO-Active. Design constraints of gradient system are slew rate and gradient amplitude are accounted for by using convex optimization. All images were acquired on a GE 1.5T scanner. Image reconstruction was performed in graphical programming interface.

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