Abstract #1558
ROICS-PI:Combination of Region of Interest Compressed Sensing and Parallel Imaging for Arbitrary k-space Trajectories to Achieve Highly Accelerated MRI
Amaresha Shridhar Konar 1 , Divya Jain 1 , Shamshia Tabassum 1 , Rajagopalan Sundaresan 2 , Ramesh Venkatesan 2 , and Sairam Geethanath 1
1
Medical Imaging Research Center, Dayananda
Sagar Institutions, Bangalore, Karnataka, India,
2
GE
Healthcare, Bangalore, Karnataka, India
Compressed Sensing (CS) and Parallel Imaging (PI) are
widely used to reduce MRI scan time and their
combination yields better performance than used
individually. The proposed method implements the
combination of Region of Interest Compressed Sensing (ROICS)
and SENSitivity Encoding (SENSE) which applies weighted
CS to a particular ROI and the resulting output is then
reconstructed using SENSE for arbitrary k-space.
Proposed method performs better compared to PI and CS+PI
for 6 channel brain data as validated qualitatively
through images and quantitatively as determined by Peak
Signal to Noise Ratio (PSNR) parameter by comparing with
existing methods.
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