Abstract
Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D infra- 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1329-1334 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Computer Vision |
| Volume | 2 |
| State | Published - 2003 |
| Event | NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION - Nice, France Duration: Oct 13 2003 → Oct 16 2003 |
Keywords
- Accuracy assessment
- Deformable 2D-3D medical image registration
- Statistical model
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition