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Abstract #3409

Acquisition strategy for limited support Compressed Sensing

Pavan Poojar 1 , Bikkemane Jayadev Nutandev 1 , Amaresha Sridhar Konar 1 , Rashmi R Rao 1 , Ramesh Venkatesan 2 , and Sairam Geethanath 1

1 Medical Imaging Research Centre, Dayananda Sagar Institutions, Bangalore, Karnataka, India, 2 Wipro-GE Healthcare, Bangalore, Karnataka, India

Cardiac MRI scans demands rapid acquisition of images to avoid motion artifacts. Region of interest (ROI) selected will be sparse and leads to arbitrary k-space shape. Active contour in combination with convex optimization leads to new ROI based acquisition strategy which gives arbitrary k-space trajectories and optimized gradients based on the constraints for given ROI. Retrospective studies were carried out on six cardiac datasets for different accelerations (3x, 4x, 5x and 10x) and Normalized Root Mean Square Error was calculated. Future work includes reconstruction of image using ROI Compressed Sensing.

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