Abstract #3854

Automatic pelvic bone registration of low-field MRI to pre-operative 3T-MRA for vascular interventions

Derk J. Slotman^1,2, Jordy K. van Zandwijk^1,2, Frank F.J. Simonis¹, Ferdi van der Heijden³, Robert H. Geelkerken², and Bennie ten Haken¹

¹Magnetic Detection & Imaging, University of Twente, Enschede, Netherlands, ²Vascular surgery, Medisch Spectrum Twente, Enschede, Netherlands, ³Robotics and Mechatronics, University of Twente, Enschede, Netherlands

Intra-operative low-field magnetic resonance imaging (LF-MRI) is characterized by poor spatial resolution limiting its use in endovascular catheter tracking with fluoroscopy. Fusion of LF-MRI with 3T-MRI may overcome this issue. To fuse both volumes, we automatically segmented a pelvis from an LF-MRI scan, based on cortical bone detection with Laplacian edge detection. A similarity of 66% was reached between automatic and manual segmentation. Subsequently, the segmented volume was automatically registered to a 3T-MRA. Compared to a Procrustes based manual registration, the automatic registration resulted in a root-mean-square error of 3 mm.

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