Taquwa Aslam1, Mahwish Khan1, Ali Raza Shahid1, and Hammad Omer1
CG
SENSE is an iterative algorithm used in PMRI for MR image reconstruction from
under-sampled data. One major limitation of CG-SENSE is the appropriate choice
of the number of iterations required for good reconstruction results.This paper
proposes the use of a correlation measure between the line profiles of the
reconstructed images in the current and the previous iteration, as a stopping
criterion for the CG-SENSE algorithm. Results of the proposed method are
compared with the Bregman distance stopping criterion. The results show that
the use of line profile correlation measure acts as an effective stopping
criterion in CG-SENSE.