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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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