Jing Liu1,
David A. Saloner1
1University
of California San Francisco, San Francisco, CA, United States
Compressed sensing (CS) and parallel imaging (PI) have been exploited to reduce scan time by undersampling k-space data, which is highly desirable for 3D applications that usually involve unreasonably long scan times. This study proposes a novel method for generating undersampling patterns for 3D Cartesian acquisition, providing easy implementation, flexible sampling patterns, and high accuracy of image reconstruction with CS&PI.