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Abstract #1119

Highly accelerated DCE-MRI using Region of Interest Compressed Sensing

Amaresha Shridhar Konar 1 , Nithin N Vajuvalli 1 , Rashmi R Rao 1 , Divya Jain 1 , Dharmendra CK Kumar 1 , and Sairam Geethanath 1

1 Medical Imaging Research Center, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India

Current work demonstrates a technique, Region Of Interest Compressed Sensing (ROICS) on DCE-MRI data where ROI was selected around the tumor, restricting the reconstruction to the ROI. Compressed Sensing (CS) and ROICS methods were applied on seven breast DCE-MRI data sets at chosen acceleration factors from 2x to 20x. The reconstructed images were used to obtain quantitative Pharmacokinetic maps (PK) and the error in reconstruction was quantified by Normalized Root Mean Square Error (NRMSE) value. A significant increase in NRMSE value and artifacts in PK maps are observed from 5x acceleration onwards for CS as compared to ROICS.

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