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Abstract #3740

3D Aortic Motion Estimation for Image-Guided Intervention

Rachel E. Clough1, Christian Buerger1, Christoph Kolbitsch1, Markus Henningsson1, Peter Taylor1, Claudia Prieto1, Tobias Schaeffter1

1Division of Imaging Sciences & Biomedical Engineering, King's College London, Westminster Bridge Road, London, United Kingdom

Endovascular repair is now the method of choice for treatment of thoracic aortic disease. The complexity of the procedure is related to the anatomy of the aortic arch and accurate catheter navigation, cannulation and precise device placement in each of the individual branches. XMR provides enhanced image guidance but requires high fidelity roadmaps incorporating physiological cardiac and respiratory motion. In this work we quantify the 3D motion of the aorta caused by both cardiac and respiratory displacement and evaluate the accuracy of affine and non-rigid motion correction approaches for MR-guided intervention.