Abstract
The general idea of the presented work is to overcome known problems with segmentation and analysis of 2D radiographs by registering a 3D appearance-model. Therefore this paper introduces a novel method to register 2D x-rays with 3D appearance-models by optimizing the appearance and pose of the model until a virtual radiograph of the generated model-instance optimally fits the investigated x-ray. The approach was tested on a sample set of 15 human femur specimen using different metrics and optimization techniques to investigate the impact on the resulting implicit 2D-segmentation. The first promising results are presented and discussed in detail.
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© 2008 Springer-Verlag Berlin Heidelberg
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Steininger, P. et al. (2008). Comparison of Different Metrics for Appearance-Model-Based 2D/3D-registration with X-ray Images. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_25
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DOI: https://doi.org/10.1007/978-3-540-78640-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
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