Titlebook: Information Processing in Computer-Assisted Interventions; 5th International Co Danail Stoyanov,D. Louis Collins,Pierre Jannin Conference p

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The ‘Augmented’ Circles: A Video-Guided Solution for the Down-the-Beam Positioning of IM Nail Holes the nail into the medullary canal, it must be fixed by inserting screws through its proximal and distal locking holes. Prior to distal locking of the nail, surgeons must position the C-arm device and patient leg in such a way that the nail holes appear as circles in the X-ray image. This is conside

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CT to US Registration of the Lumbar Spine: A Clinical Feasibility Studyons are performed using either no image guidance or modalities that expose the patient to ionizing radiation such as fluoroscopy or computed tomography (CT). Ultrasound (US) is being investigated as an alternative as it is a non-ionizing and more accessible image modality. An inherent challenge to U

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Articulated Statistical Shape Model-Based 2D-3D Reconstruction of a Hip Jointdressed. Existing 2D-3D reconstruction techniques usually reconstruct a patient-specific model of a single anatomical structure without considering the relationship to its neighboring structures. Thus, when those techniques would be applied to reconstruction of patient-specific models of a hip joint

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Trabeculoplasty

Random Forests for Phase Detection in Surgical Workflow Analysisra-operative activities, detect common phases in the surgical workflow and combine the gained knowledge into Surgical Process Models. Numerous applications of this knowledge are conceivable, from semi-automatic report generation, teaching and objective surgeon evaluation to context-aware operating r

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Knowledge-Driven Formalization of Laparoscopic Surgeries for Rule-Based Intraoperative Context-Awareware systems, filtering information to match the current situation in the OR, will be necessary to reap all benefits of integrated and computerized surgery. To interpret surgical situations, such systems need a robust set of knowledge to make sense of intraoperative measurements. Building on our own

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Relevance-Based Visualization to Improve Surgeon Perceptionck. In this paper, we present a learning-based labeling of the surgical scene using a depth camera (comprised of RGB and depth range sensors). The depth sensor is used for background extraction and Random Forests are used for segmenting color images. The end result is a labeled scene consisting of s

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