Motion and positional error correction for cone beam 3D-reconstruction with mobile C-arms

Authors:
C. Bodensteiner;C. Darolti;H. Schumacher;L. Matthäus;Achim Schweikard
Affiliations:
Institute of Robotics and Cognitive Systems, University of Lübeck, Germany;Institute for Signal Processing, University of Lübeck, Germany;Institute of Mathematics, University of Lübeck, Germany;Institute of Robotics and Cognitive Systems, University of Lübeck, Germany;Institute of Robotics and Cognitive Systems, University of Lübeck, Germany
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

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Abstract

CT-images acquired by mobile C-arm devices can contain artefacts caused by positioning errors. We propose a data driven method based on iterative 3D-reconstruction and 2D/3D-registration to correct projection data inconsistencies. With a 2D/3D-registration algorithm, transformations are computed to align the acquired projection images to a previously reconstructed volume. In an iterative procedure, the reconstruction algorithm uses the results of the registration step. This algorithm also reduces small motion artefacts within 3D-reconstructions. Experiments with simulated projections from real patient data show the feasibility of the proposed method. In addition, experiments with real projection data acquired with an experimental robotised C-arm device have been performed with promising results.