Abstract
Our main focus is the registration and visualization of a pre-built 3D model from preoperative images to the camera view of a minimally invasive surgery (MIS). Accurate estimation of soft-tissue deformations is key to the success of such a registration. This paper proposes an explicit statistical model to represent global non-rigid deformations. The deformation model built from a reference object is cloned to a target object to guide the registration of the pre-built model, which completes the deformed target object when only a part of the object is naturally visible in the camera view. The registered target model is then used to estimate deformations of its substructures. Our method requires a small number of landmarks to be reconstructed from the camera view. The registration is driven by a small set of parameters, making it suitable for real-time visualization.
We thank the Medical Image Display & Analysis Group (MIDAG) at UNC-Chapel Hill for providing the kidney data and source codes. This work was done with support from U.S. Army grant W81XWH-06-1-0761.
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Han, Q., Strup, S.E., Carswell, M.C., Clarke, D., Seales, W.B. (2009). Model Completion via Deformation Cloning Based on an Explicit Global Deformation Model. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04271-3_129
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DOI: https://doi.org/10.1007/978-3-642-04271-3_129
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