Ashish A. Tamhane1, Mark Anastasio1, Konstantinos Arfanakis1
1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
In PROPELLER image reconstruction using gridding, through-plane motion artifacts are minimized by assigning low quality weights to affected blades. Iterative image reconstruction can reduce artifacts that arise from data inconsistencies and minimize image noise by use of regularization strategies. Quality weights similar to those used in gridding can also be incorporated in iterative image reconstruction in order to reduce the effects of through-plane motion. The goal of this study was to assess the performance of iterative PROPELLER image reconstruction with un-weighted and weighted least squares cost functions in the presence of through-plane motion, and compare it to that of gridding.