Motion and positional error correction for cone beam 3D-reconstruction with mobile C-arms.
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.
Institute of Robotics and Cognitive Systems, University of Lübeck, Ger. bodensteiner@rob.uni-luebeck.de
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Bodensteiner
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Darolti
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Schumacher
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Matthäus
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Schweikard
D000465:Algorithms; D016477:Artifacts; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009038:Motion; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D036542:Tomography, Spiral Computed / Q000295:instrumentation / Q000379:methods*