Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of Head Pose Accuracy in Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Hybrid navigation interface for orthopedic and trauma surgery
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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Since the introduction of computer aided surgery various visualization methods have proposed for intraoperative navigation. Slice based navigation systems are commercially available and frequently used. These visualize three dimensional data on a two dimensional display as orthogonal slices controlled by the position of a surgical instrument. In-situ visualization was introduced as an alternative approach for intraoperative visualization. This technique visualizes three dimensional imaging data directly on the surgical object via three dimensional display technology. We compare monitor based navigation against video see-through augmented reality visualization. Furthermore, we compare both systems against a hybrid system that we have recently introduced. We created an experimental setup to simulate an exemplary application in trauma and orthopedic surgery, where a drill has to be navigated to a defined target region. We measured the speed and accuracy of three trauma surgeons with different level of experience performing the drilling task. The results show that the combination of both systems into one single user interface comprises the advantages of each system alone. Using the hybrid interface the surgeons performed the task with the accuracy of a standard navigation at the speed of the in-situ visualization.