Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model

Authors:
Jianhua Yao;Russell Taylor
Affiliations:
-;-
Venue:
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Year:
2003

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Abstract

Deformable 2D-3D medical image registration is anessential technique in Computer Integrated Surgery (CIS)to fuse 3D pre-operative data with 2D intra-operativedata. Several factors may affect the accuracy of 2D-3Dregistration, including the number of 2D views, the anglebetween views, the view angle relative to anatomical objects,the co-registration error between views, the imagenoise, and the image distortion. In this paper, we investigateand assess the relationship between these factors andthe accuracy of 2D-3D registration. We proposed a deformable2D-3D registration method based on a statisticalmodel. We conducted experiments using a hemi-pelvismodel and simulated x-ray images. Some discussions areprovided on how to improve the accuracy of 2D-3D registrationbased on our assessment.