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VSD

05 The Virtual Skeleton Database

Knowledge about the average skeleton improves surgical procedures

Statistical shape analysis enjoys a remarkable popularity within the medical image analysis community. This technique has the potential to improve approaches in image guided surgery planning, simulation and execution. For example, intraoperative CT data acquisition may be avoided, pathologies could be detected automatically or biomechanical behavior could be incorporated into the planning stages.

The recurring problem of requiring a large amount of data to build a valid model occurs when applying these techniques in clinical situations. Unfortunately, most of the research laboratories lack proper image management systems. Consequently, even if the collection and processing of the data was very time consuming, it is often lost and mishandled.

Therefore, the objective of this project is to develop a system which manages medical images, particularly those of the human skeleton, the "Virtual Skeleton Database" (VSD). The database will include high quality images as well as provide a set of tools for statistical shape analysis.

Work Packages

WP 1 - Virtual Skeleton Database

This work package will develop the technological environment required to support the VSD project. The objective is to develop appropriate interfaces which will allow researchers to use collected images and statistical tools for their research practice.

Project partners: Marcel Pfahrer - Berne University of Applied Sciences
Gabor Szekely - Computer Vision Laboratory, ETH Zurich
Stefan Weber - University of Bern, ARTORG Center, Image Guided Therapy

 

WP 2 - Statistical Shape and Intensity Analysis Tools for the VSD

The objective of this work package is to develop clinical applications based on statistical shape models and to seamlessly integrate web-based access of these tools into the VSD. These applications include: evaluation and optimal design of orthopedic implants, shape prediction from sparse data sets for minimally invasive treatments, and patient-specific shape modeling for planning and intervention.

Project partners: Mauricio Reyes Aguirre - University of Bern, Institute for Surgical Technology & Biomechanics
Gabor Szekely - Computer Vision Laboratory, ETH Zurich
Thomas Vetter - Graphics and Vision Research Group, University of Basel

 

WP 3 - Statistical Finite Element Modeling for the VSD

The main function of the human skeleton is to provide a strong mechanical framework to support the body. The objective of this work package is to exploit the mechanical information available in medical images and established tools to integrate biomechanical information into the Virtual Skeleton Database.

Project partners: Philippe Buechler - University of Bern, Institute for Surgical Technology & Biomechanics

 

Project Coordination

Project Leader: Philippe Buechler - University of Bern, Institute for Surgical Technology & Biomechanics


Last update on 2009-05-19.                                                                                                                                                                                                                                                

Last update 2009-08-18
The National Centres of Competence in Research (NCCR) are a research instrument of the Swiss National Science Foundation.