Rashmi Reddy1, Imam Shaik1, Nithin N Vajuvalli1, Dharmendra Kumar K C1, and Sairam Geethanath1
The
proposed method combines Compressed Sensing (CS) framework with view sharing to
accelerate Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCEMRI). A
novel method to combine k-spaces of different regions (Temporal Region (TR) and
Spatial Region (SR)) is carried out in this work. View sharing is adapted to
combine the kspace, by mapping samples from SR region frames onto corresponding
frames in TR region to improve the edge information, achieving better reconstruction
with higher acceleration. It is shown that the proposed method provides better Pharmacokinetic(PK) maps at higher acceleration rates than existing methods with minimum error,
as qualified by NRMSE values.
