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Abstract #3939

A robust automated multi-modality registration tool applied to abdominal aortic aneurysm

Chengjia Wang 1,2 , Georgia Koutraki 1,3 , Olivia Mcbride 3 , Alex Vesey 3 , Tom MacGillivray 1 , Calum Gray 1 , David Newby 1,3 , Keith Goatman 2 , and Scott Semple 1,3

1 Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom, 2 Toshiba Medical Visualization System-Europe, Edinburgh, United Kingdom, 3 Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom

Combining multi-modality data is a challenging but important step in the development of non-invasive assessment of cardiovascular disease. We present a semi-automatic scheme for inter-parameter and inter-modality registration of aortic MR and CT data, requiring only simple interactions. The algorithm was evaluated in a clinical trial investigating the diagnosis and treatment of abdominal aortic aneurysms, using a novel imaging protocol. Image alignment was compared with manual registration performed by experienced observers and mostly displayed sub-pixel accuracy. Integration of non-rigid registration will be convenient and this method will be applied to cardiac MR data in the future.

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