Abstract
We created a method for 3D registration of medical scanner image volumes to gross pathology images. We are applying it to evaluate interventional MRI thermal ablation and in vivo localized drug release from a new device, implanted using CT guidance. The method computes an optimum set of rigid body registration parameters by iterative minimization of the Euclidean distances between automatically generated correspondence points, along manually selected fiducial needle paths, and optional point landmarks. Voxel displacement errors depend only on needle localization error when the angle between needles was at least 15 degrees, and the distance objective function is a useful diagnostic for registration quality.
Original language | English (US) |
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Pages (from-to) | 1007-1008 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 2 |
State | Published - Dec 1 2002 |
Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002 |
Keywords
- Image guided therapy
- Medical image processing
- Volume registration
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics