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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