Phase encode reordering with a 10 mm acceptance window significantly increased scan efficiency over a non-reordered 5 mm method (P<0.001) and improved image quality (P<0.05).
Does phase encode reordering improve scan efficiency and image quality in 3D coronary imaging compared to standard navigator acceptance window methods?
Phase encode reordering in 3D coronary imaging allows for larger navigator acceptance windows, significantly improving scan efficiency without compromising image quality.
p-value: p=<0.001
Three-dimensional (3D) coronary imaging has the potential to overcome problems resulting from vessel tortuosity and to reduce partial volume effects. With these techniques, however, acquisition times are long and respiratory motion artifacts problematical. This work describes the development of a method that applies phase encode reordering to 3D acquisitions, allowing larger navigator acceptance windows to be used, with a consequent reduction in acquisition time. This method is compared with navigator acceptance window methods (the acceptance-rejection algorithm and the diminishing variance algorithm) and the retrospective respiratory gating technique, both in vitro and in vivo. The use of phase reordering with a 10 mm acceptance window provided a significant increase in scan efficiency over a non-reordered 5 mm method (P<0.001) with no significant change in image quality, and a significant increase in image quality compared with a non-reordered image acquired in the same time (P<0.05). A significant improvement in both image quality and scan efficiency was demonstrated over the retrospective respiratory gating method (P<0.05).
Jhooti et al. (Mon,) conducted a other in Coronary imaging. Phase encode reordering with a 10 mm navigator acceptance window vs. Non-reordered 5 mm method and retrospective respiratory gating was evaluated on Scan efficiency and image quality (p=<0.001). Phase encode reordering with a 10 mm acceptance window significantly increased scan efficiency over a non-reordered 5 mm method (P<0.001) and improved image quality (P<0.05).