Abstract
Follow-up assessment of pleural thickenings requires the comparison of information from different points in time. The investigated image regions must be precisely registered to acquire this information. Since the thickenings’ growth is the target value, this growth should not be compensated by the registration process. We therefore present a nonrigid registration method, which preserves the shape of the thickenings. The deformation of the volume image is carried out using B-splines. With focus on the image regions located around the lung surface, an efficient way of calculating corresponding points combined with the reuse of information from different scale levels leads to the non-rigid registration, which can be performed within a short computation time.
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© 2012 Springer-Verlag Berlin Heidelberg
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Faltin, P., Chaisaowong, K., Kraus, T., Aach, T. (2012). Registration of Lung Surface Proximity for Assessment of Pleural Thickenings. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_38
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DOI: https://doi.org/10.1007/978-3-642-28502-8_38
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