3D/2D model-to-image registration applied to TIPS surgery

Authors:
Julien Jomier;Elizabeth Bullitt;Mark Van Horn;Chetna Pathak;Stephen R. Aylward
Affiliations:
Kitware Inc., Clifton Park, New York;Computer-Assisted Surgery and Imaging Laboratory, Department of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill;Computer-Assisted Surgery and Imaging Laboratory, Department of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill;Computer-Assisted Surgery and Imaging Laboratory, Department of Surgery, The University of North Carolina at Chapel Hill, Chapel Hill;Kitware Inc., Clifton Park, New York
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

Citing 4
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Abstract

We have developed a novel model-to-image registration technique which aligns a 3-dimensional model of vasculature with two semi-orthogonal fluoroscopic projections. Our vascular registration method is used to intra-operatively initialize the alignment of a catheter and a pre-operative vascular model in the context of image-guided TIPS (Transjugular, Intrahepatic, Portosystemic Shunt formation) surgery. Registration optimization is driven by the intensity information from the projection pairs at sample points along the centerlines of the model. Our algorithm shows speed, accuracy and consistency given clinical data.