Optimal Data Sampling for Noquist Ciné Imaging

Faster acquisition of cinO imaging sequences remains of critical importance for continued development of advanced applications in cardiac MRI. Parallel imaging and partial-Fourier techniques offer important benefits and are now widely available, but have limitations in attainable acceleration, and may not always be compatible with phase-sensitive data such as phase velocity encoded studies. Further improvement in acquisition speed, compatible with flow encoding, may be obtained through reduced field of view methods, which use the presence of static field of view (FOV) regions in dynamic images as prior information for data reduction. We have recently proposed the fiNoquistfl rFOV method [1], which uniquely preserves full spatiotemporal resolution by a direct inversion approach and is flexible with respect to dynamic FOV size and location. In a dynamic reconstruction problem with N