Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces

Thusini, Xolisile O. and Reyneke, Cornelius J. F. and Aellen, Jonathan and Forster, Andreas and Fouefack, Jean-Rassaire and Tegang, Nicolas H. Nbonsou and Vetter, Thomas and Douglas, Tania S. and Mutsvangwa, Tinashe E. M.. (2020) Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces. In: Shape in Medical Imaging. Cham, pp. 18-29.

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Official URL: https://edoc.unibas.ch/81306/

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The reconstruction of 3D bone shape from 2D X-ray contours is an ill-posed problem. For medical applications, it is important to estimate the uncertainty of the reconstructions. While traditional optimisation methods produce a single point-estimate, we frame the problem as Bayesian inference. We apply a Monte Carlo sampling based non-rigid 3D to 2D registration recovering the posterior distribution of plausible reconstructions. This provides insight into the uncertainty of the inferred 3D reconstruction. As an application, we demonstrate the use of the method in selecting X-ray viewing conditions in order to maximise accuracy while minimising reconstruction uncertainty. We evaluated reconstruction accuracy and variance for the femur bone from bi-planar views.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Ehemalige Einheiten Mathematik & Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:Vetter, Thomas and Aellen, Jonathan and Morel, Andreas and Reyneke, Cornelius Johannes Frederik
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Lecture Notes in Computer Science
Issue Number:12474
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:27 Jan 2021 09:33
Deposited On:27 Jan 2021 09:33

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