A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Image Guidance and Surgery Simulation Using Inverse Nonlinear Finite Element Methods
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
Image Guidance for Robotic Minimally Invasive Coronary Artery Bypass
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Image constrained finite element modelling for real-time surgical simulation and guidance
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
pq-space based non-photorealistic rendering for augmented reality
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Soft-tissue motion tracking and structure estimation for robotic assisted MIS procedures
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
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The use of physically-based models combined with image constraints for intraoperative guidance is important for surgical procedures that involve large-scale tissue deformation. A biomechanical model of tissue deformation is described in which surface positional constraints and internally generated forces are derived from endoscopic images and preoperative 4D CT data, respectively. Considering cardiac motion, a novel technique is presented which minimises the average registration error over one or more complete cycles. Features tracked in the stereo video stream provide surface constraints, and an inverse finite element simulation is presented which allows internal forces to be recovered from known preoperative displacements. The accuracy of surface texture, segmented mesh and volumetrically rendered overlays is evaluated with detailed phantom experiments. Results indicate that by combining preoperative and intraoperative images in this manner, accurate intraoperative tissue deformation modelling can be achieved.