Abstract #1791

Rotation and Translation Estimation from simple 1D MR Navigators

Moosa Zaidi¹, Joseph Cheng¹, Tao Zhang¹, and John Pauly¹

¹Electrical Engineering, Stanford University, Stanford, CA, United States

Sensitivity to motion remains a major limitation to the clinical utility of MRI. Self-navigating Cartesian trajectory (Butterfly) can provide coil-by-coil estimates of local linear translation without lengthening scan time or requiring external sensors. We propose to combine translational motion estimates with the geometry of the differing coil sensitivities to estimate global translation and rotation. These estimates can then be used to retrospectively correct for motion. For 2D slices we are successfully able to extract both unknown rotation with known translation and unknown translation and unknown rotation. Extension to 3D is a promising direction for future work.

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