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 Kozerke^1,3, 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.