Regularized Shock Filters and Complex Diffusion
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
An Efficient Solution to the Five-Point Relative Pose Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intra-operative 3D guidance in prostate brachytherapy using a non-isocentric C-arm
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
C-arm tracking and reconstruction without an external tracker
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
C-arm calibration – is it really necessary?
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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Motivation: In prostate brachytherapy, intra-operative dosimetry optimization can be achieved through reconstruction of the implanted seeds from multiple C-arm fluoroscopy images. This process requires tracking of the C-arm poses. Methodology: We compute the pose of the C-arm relative to a stationary radiographic fiducial of known geometry. The fiducial was precisely fabricated. We register the 2D fluoroscopy image of the fiducial to a projected digitally reconstructed radiograph of the fiducial. The novelty of this approach is using image intensity alone without prior segmentation of the fluoroscopy image. Experiments and Results: Ground truth pose was established for each C-arm image using a published and clinically tested segmentation-based method. Using 111 clinical C-arm images and ±10° and ±10 mm random perturbation around the ground-truth pose, the average rotation and translation errors were 0.62° (std=0.31°) and 0.73 mm (std= 0.55mm), respectively. Conclusion: Fully automated segmentation-free C-arm pose estimation was found to be clinically adequate on human patient data.