This paper investigates the use of Active Shape Models (ASM) to capture the variability of the intra-thoracic airway tree. The method significantly reduces the dimensionality of the non-rigid 2D/3D registration problem and leads to a rapid and robust registration framework. In this study, EM tracking data has been also incorporated through a probabilistic framework for providing a statistically optimal pose given both the EM and the image-based registration measurements. Comprehensive phantom experiments have been conducted to assess the key numerical factors involved in using catheter tip EM tracking for deformable 2D/3D registration. © Springer-Verlag Berlin Heidelberg 2006.
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Deligianni, F., Chung, A. J., & Yang, G. Z. (2006). Non-rigid 2D-3D registration with catheter tip em tracking for patient specific bronchoscope simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4190 LNCS-I, pp. 281–288). Springer Verlag. https://doi.org/10.1007/11866565_35