Respiratory Self-Gating using Principal Component Analysis in 2D Golden Angle Radial Free Breathing Cine Imaging

Due to respiratory motion, cardiac imaging is performed during breath holding. Breath holding can be strenuous, or even impossible, for patients with heart disease. We suggest a method for respiratory self-gating using a Golden Angle radial k-space trajectory and principal component analysis. Radial trajectories sample the middle of k-space, which corresponds to the large structure content of the image, each repetition time. The respiratory motion can be detected from the raw k-space data and the motion signal can be used to perform retrospective respiratory gating.