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

: Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D intra-operative data. Several factors may affect the accuracy of 2D-3D registration, including the number of 2D views, the angle between views, the view angle relative to anatomical objects, the co-registration error between views, the image noise, and the image distortion. In this paper, we investigate and assess the relationship between these factors and the accuracy of 2D-3D registration. We proposed a deformable 2D-3D registration method based on a statistical model. We conducted experiments using a hemi-pelvis model and simulated x-ray images. Some discussions are provided on how to improve the accuracy of 2D-3D registration based on our assessment. Keyword: deformable 2D-3D medical image registration, accuracy assessment, statistical model

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Jianhua Yao, Russell H. Taylor
• Keywords: 2D-3D Medical Image, Accuracy Assessment, Computer Vision, Deformable 2D-3D Registration, ICCV 2003, Medical Image Registration, Statistical Model