Titlebook: Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions; International Worksh Hongen Liao,Cristian A. Linte,

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Augmented Reality Environments for Medical Imaging and Computer-Assisted InterventionsInternational Worksh

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John R. Koza,Martin A. Keane,Guido Lanzantered inside the identified boundary, and consequently extract the translational motion of the boundary as the respiratory pattern. The experiments on four volunteers demonstrate that the respiratory pattern extracted by our method is highly consistent to those acquired by an EM tracking system with the correlation coefficient of at least 0.91.

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Automatic Synthesis of Antennas,ial ground truth data, and thus to evaluate detection and feature tracking performances. Finally, we demonstrate, using our framework on 9 different . video sequences, that the proposed pre-processes significantly increase the tracking performance.

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Conor Ryan,Maarten Keijzer,Mike Cattolicooposed method and the accuracy of a generated 3D scene, which yielded 1.7±0.9 mm reconstruction error. We also demonstrated the application of the proposed method using patient-specific endoscopic video image samples acquired during an . gastroscopy procedure.

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