Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model
Abstract
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.
Cite
Text
Yao and Taylor. "Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model." IEEE/CVF International Conference on Computer Vision, 2003. doi:10.1109/ICCV.2003.1238644Markdown
[Yao and Taylor. "Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model." IEEE/CVF International Conference on Computer Vision, 2003.](https://mlanthology.org/iccv/2003/yao2003iccv-assessing/) doi:10.1109/ICCV.2003.1238644BibTeX
@inproceedings{yao2003iccv-assessing,
title = {{Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model}},
author = {Yao, Jianhua and Taylor, Russell H.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2003},
pages = {1329-1334},
doi = {10.1109/ICCV.2003.1238644},
url = {https://mlanthology.org/iccv/2003/yao2003iccv-assessing/}
}