Benjamin Paul Berman1,
Zhitao Li2, Maria I. Altbach3, Jean-Philippe Galons3,
Diego R. Martin3, Bin Dong, Puneet Sharma3, Bobby T.
Kalb3, Ali Bilgin, 24
1Applied
Mathematics, University of Arizona, Tucson, AZ, United States; 2Electrical
and Computer Engineering, University of Arizona, Tucson, AZ, United States; 3Medical
Imaging, University of Arizona, Tucson, AZ, United States; 4Biomedical
Engineering, University of Arizona, Tucson, AZ, United States
There is constant demand for high quality images and short data acquisition times for MRI. Traditionally, a choice is made for one or the other, but due to the development of CS theory, it is often possible to have both. For 3D MR imaging, various trajectories are used to undersample in Fourier space including Cartesian, radial, and cylindrical. The cylindrical trajectory or stack-of-stars is used for dynamic and motion sensitive 3D imaging. For CS it is crucial that each measurement contain as much information as possible. We show that the 3D stack-of-stars trajectory benefits from a center-dense sampling scheme.