Stereo matching of skull landmarks
Stereo matching of skull landmarks
Registration of multi-modal medical images: exploiting sensor relationships
Registration of multi-modal medical images: exploiting sensor relationships
Real-Time DRR Generation Using Cylindrical Harmonics
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Accurate and precise 2D-3D registration based on X-ray intensity
Computer Vision and Image Understanding
2D-3D registration of CT vertebra volume to fluoroscopy projection: a calibrationmodel assessment
EURASIP Journal on Advances in Signal Processing - Image processing and analysis in biomechanics
Proceedings of the 29th DAGM conference on Pattern recognition
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
Disocclusion-based 2D-3D registration for aortic interventions
Computers in Biology and Medicine
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Abstract: The authors describe a method to register computed tomography (CT) data with planar film radiographs. Previous methods applied to the problem of CT-radiograph registration rely on determining the correspondence between occluding contours of the 3D surface in the CT data with 2D contours in the projection image. These methods implicitly assume that the correspondence is accurate, ignoring fundamental nonlinear differences in the underlying measurements. In contrast, the authors' emphasis has been to directly exploit the relationship between imaging devices. This is performed registering radiograph data with intensity-corrected simulated radiograph data derived from CT measurements. The authors show that exploiting the physical relationship between CT and radiograph measurements one can significantly improve registration accuracy. Concomitantly, the authors detail the relationship between CT and radiograph measurements and the primary factors influencing discrepancies between simulated and real radiograph data.