FIG. 4.

Simulation of rFOV PR for a stationary and a moving object. a: Input image and image reconstructed with 64 and 32 Np. Note the characteristic artifact patterns (arrows point to artifacts). b: Stationary object at three consecutive frames after rFOV processing. c: Moving object at three consecutive frames after rFOV processing, for the case of motion with a periodicity of 2 s, and amplitude of motion of 2 pixels. The arrow indicates the direction of translation. d: Summarized results of the simulation for harmonic motion with varying periodicity and amplitude of motion, and the addition of noise in the motion. The general trend shows less artifact signal (normalized by the signal of the artifact before rFOV processing) for smaller amplitudes and longer periods of oscillatory motion. The addition of a noise term to the position results in much less artifact suppression. A periodicity of 1 s corresponds to typical cardiac motion, and a periodicity of 4 s corresponds to typical respiratory motion.