Do We Really Need an Accurate Calibration Pattern to Achieve a Reliable Camera Calibration?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Modelling the Acquisition Geometry of a C-Arm Angiography System for 3D Reconstruction
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
3D Dynamic Roadmapping for Abdominal Catheterizations
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Monocular deformable model-to-image registration of vascular structures
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Rotational encoding of c-arm fluoroscope with tilt sensing accelerometer
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
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This paper deals with the modeling of a vascular C-arm to generate 3D augmented fluoroscopic images in an interventional radiology context. A methodology based on the use of a multi-image calibration is proposed to assess the physical behavior of the C-arm. From the knowledge of the main characteristics of the C-arm, realistic models of the acquisition geometry are proposed. Their accuracy was evaluated and experiments showed that the C-arm geometry can be predicted with a mean 2D reprojection error of 0.5 mm. The interest of 3D augmented fluoroscopy is also assessed on a clinical case.