ABOUT CO-ME

PROJECTS
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PHASE 3
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PHASE 2
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PHASE 1
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ENHANCED REALITY
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HAPTICS & SENSORS
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IGT ORL-MF-DENTAL
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ORTHO-PLAN
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TOOLS
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PREDICTION
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SOFT TISSUES
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ORTHOMIS
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VR TOOLS
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MRI GUIDANCE
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ARTICULATIONS
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CARDIAC ROBOTICS
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VIRTUAL ENDOSCOPY
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FACIAL TISSUE

PUBLICATIONS

NEWS & EVENTS

EDUCATION

CONTACT

INTERNAL

IMPRESSUM
Ortho-Plan

04 A versatile pre-operative planner for orthopaedic surgery

Experiment to evaluate the impact of computer-assisted planning on the intra-operative performance. Plastic models of fractured bones were reduced in a gel-like medium simulating surrounding soft tissue.

Until now, each software for computer-assisted orthopaedic surgery planning was considered to be an individual application, although there is a considerable overlap of features. We have established a method, by which new planning applications can be generated more effectively. A domain analysis has been carried out to analyse the differences and commonalities of CT based planning software, resulting in a collection of components, from which various different planners can be derived. In addition, several conventionally developed planning tools are being implemented for a number of clinical problems such as reduction planning for long bone fractures and complex pelvic fractures.

Implementation of planning tools

Using conventional software development approaches, several tools dedicated to the planning of specific surgical interventions have been developed and subsequently evaluated.
Prediction method of 3D shape and model generating

Statistical shape models were implemented to initialise the segmentation of the hip joint from CT scans. Providing a feature to interactively correct the predicted shape, the implemented solution can be applied even in cases of severe arthritis or in the presence of metal.

Project Coordination

Project Leader: Frank Langlotz - MEMCenter, Institute for Surgical Technology and Biomechanics, University of Bern
Deputy: Christoph Anderegg - University of Bern, Institute for Surgical Technology & Biomechanics

Partners

Computer Vision Lab - ETH Zurich
Institute of Computer Science and Applied Mathematics - University of Bern
Hannover Medical School, Germany
Harvard Medical School, Boston, USA

Last update on 2009-09-07.                                                                                                                                                                                                                                                

Last update 2006-06-14
The National Centres of Competence in Research (NCCR) are a research instrument of the Swiss National Science Foundation.