CIRcular Cartesian UnderSampling (CIRCUS): A Variable Density 3D Cartesian Undersampling Strategy for Compressed Sensing and Parallel Imaging

Jing Liu¹, David A. Saloner¹

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.