Deligianni Fani, Chung Adrian J, Yang Guang-Zhong
Department of Computing, Imperial College London.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):281-8. doi: 10.1007/11866565_35.
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.
本文研究了使用主动形状模型（ASM）来捕捉胸内气道树的变异性。该方法显著降低了非刚性二维/三维配准问题的维度，并形成了一个快速且稳健的配准框架。在本研究中，还通过概率框架纳入了电磁跟踪数据，以便在电磁和基于图像的配准测量的基础上提供统计上最优的姿态。已进行了全面的体模实验，以评估在使用导管尖端电磁跟踪进行可变形二维/三维配准中涉及的关键数值因素。
