Abstract #3800
Non-segmented Free-breathing Cardiac Imaging using Low-rank Matrix Completion with a k-space Variant Constraint
Yu Y. Li 1
1
Radiology, Imaging Research Center,
Cincinnati Children's Hospital Medical Center,
Cincinnati, Ohio, United States
The presented work developed a new approach to k-t space
image reconstruction from highly undersampled data using
low-rank matrix completion. It was found that the
low-rank nature of k-t space data matrix is dependent on
k-space locations due to motion sensitivity differences
and k-t imaging can benefit from region-by-region image
reconstruction. This work demonstrated that low-rank
matrix completion can generate multi-cycle multi-phase
cardiac images from non-segmented data collected at a
speed of <50 ms per time frame with free-breathing,
providing an approach to examining non-periodic cardiac
behaviors in clinical practice.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
