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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