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Abstract #3186

Gradient Optimization for arbitrary k-space trajectories using Active Contour (GO-Active)

Pavan Poojar1, Bikkemane Jayadev Nutandev2, Ramesh Venkatesan3, and Sairam Geethanath1

1Medical Imaging Research Centre, Dayananda Sagar College of Engineering, Bangalore, India, 2Bangalore, India, 3Wipro-GE Healthcare, Bangalore, India

K-space trajectories such as cartesian, radial, spiral are not optimal for traversing arbitrary k-space shapes. GO-Active is a novel acquisition technique which is a combination of active contour and convex optimization where active contour was used to obtain arbitrary k-space trajectory and convex optimization was employed to optimize the gradients based on hardware constraints. Reconstruction was performed using Non Uniform Fast Fourier Transform and compressed sensing. Retrospective study was performed on six brain datasets and phantom, where as prospective study was carried out on the phantom respectively. Current and Future work involves application of GO-Active on in vivo data prospectively.

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