Samuel Perron1, Matthew S. Fox1,2, Hacene Serrai1, and Alexei Ouriadov1,2,3
1Physics and Astronomy, The University of Western Ontario, London, ON, Canada, 2Lawson Health Research Institute, London, ON, Canada, 3School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada
1Physics and Astronomy, The University of Western Ontario, London, ON, Canada, 2Lawson Health Research Institute, London, ON, Canada, 3School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada
The proposed
software-based under-sampling and reconstruction method has been shown to yield
improved SNR for FGRE, x-Centric, and FE-Sectoral imaging schemes, with
possible implementation in existing MRI systems without any hardware
modifications.
Figure 4.
Representative resolution phantom images reconstructed from
retroactively under-sampled k-spaces corresponding to FGRE, x-Centric and FE
Sectoral. AF were 7, 10 and 14. FGRE SNR was 20, x-Centric SNR was
28 and Sectoral SNR was 25. The FE Sectoral images show much
less image distortions at all three AF compared to FGRE and x-Centric.
Figure 1. Depicts three different k-space
under-sampling patterns corresponding to AF=10, used for each wash-out image retroactively
in wash-out or SNR attenuation direction.
