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Abstract #0068

A View-Sharing Compressed Sensing Technique for 3D Catheter Visualization from Bi-Planar Views

Carsten Oliver Schirra1, Steffen Weiss2, Sascha Krueger2, Reza Razavi1, Sebastian Kozerke1,3, Tobias Schaeffter1

1Division of Imaging Sciences, King's College London, London, UK; 2Philips Research Europe, Hamburg, Germany; 3Institute for Biomedical Engineering, Univeristy and ETH Zurich, Zurich, Switzerland

Fast visualization of catheters is indispensable for MR-guided interventions. We propose a new method based on bi-planar imaging using two perpendicular 2D projection views. The two projection views are acquired rapidly by using a randomized view-sharing 1D phase encoding scheme allowing for accelerated recovery of the catheter shape using Compressed Sensing as well as measurement of organ motion. Furthermore, a new catheter design is proposed that allows for better shape recovery and robust tip tracking. The method was assessed on a simulation and its feasibility tested in an in-vivo.