By Ping-Lin Chang, Dongbin Chen, Daniel Cohen (auth.), Cristian A. Linte, John T. Moore, Elvis C. S. Chen, David R. Holmes III (eds.)
This ebook constitutes the refereed lawsuits of the foreign Workshop on Augemented Environments for Computer-Assited Interventions, held together with MICCAI 2011, in Toronto, Canada, in September 2011. The thirteen revised complete papers provided have been conscientiously reviewed and chosen from 21 submissions. The papers hide the subsequent issues: snapshot registration and fusion, calibration, visualisation and 3D belief, and optical layout, real-time implementations, validation, medical functions and medical evaluation.
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Extra resources for Augmented Environments for Computer-Assisted Interventions: 6th International Workshop, AE-CAI 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers
The liver surface). The guidance is presented in the form of a shooting target and scaled depth bar (refer to Fig. 4). Fig. 4. Liver tumor ablation guidance target with entry point target (white), orientation circle (red (left) and green (right)), depth bar, tumor and trajectory Due to the often numerous ablations performed in a single procedure and variability of the surgical strategy throughout the procedure, the real time trajectory generation was designed to allow the surgeon to intra-operatively plan the target approach from varying positions and orientations.
Needle alignment guidance and depth information are displayed directly on the liver surface, providing intuitive real-time feedback for guiding the ablation tool tip to the targeted tumor. Validation of the guidance visual feedback on porcine liver tissue showed that the system was useful in trajectory planning and tumor targeting. The augmented reality guidance was easily visible, removed the need for sight diversion and was implemented without imposing any timely or procedural overhead when compared to a navigated procedure itself.
An augmented reality system for image-guided surgery. Int. J. Oral Maxillofac. Surg. 34, 594–596 (2005) 5. : Design and Evaluation of a Aystem for Microscope-assisted Guided Interventions (MAGI). IEEE Trans. Med. Imag. 19(11), 1082–1093 (2000) 6. : Enhancing Reality in the Operating Room. In: Proceedings of IEEE Vis. Conf. (VIS), pp. 410–415 (1993) 7. : Design, implementation and accuracy of a prototype for medical augmented reality. Comput. Aided Surg. 10(1), 23–35 (2005) 8. : Augmented Virtuality Based on Stereoscopic Reconstruction in Multimodal Image-Guided Neurosurgery: Methods and Performance Evaluation.
Augmented Environments for Computer-Assisted Interventions: 6th International Workshop, AE-CAI 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers by Ping-Lin Chang, Dongbin Chen, Daniel Cohen (auth.), Cristian A. Linte, John T. Moore, Elvis C. S. Chen, David R. Holmes III (eds.)