| Literature DB >> 17354901 |
Fani Deligianni1, Adrian J Chung, Guang-Zhong Yang.
Abstract
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.Entities:
Mesh:
Year: 2006 PMID: 17354901 DOI: 10.1007/11866565_35
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv