Within the Co-Me scientific network, the need for a image repository with focus on the statistical shape model community was identfied. Taking the lead on the development, the Institute for Surgical Technology and Biomechanic built in collaboration with the University of Applied Sience in Biel the Virtual Skeleton Database as a Webrepository which is tailored to the particular need of scientist working with medical image data.
Statistical shape models are widely used in biomedical research which require the access to a large training datasets. The Virtual Skeleton Database is as a centralized storage system where the data necessary to build statistical shape models can be stored and are shared (article JMIR). The repository is tailored to the needs of the statistical shape modeling community by offering storage and organisation of data required for model building. Dicom, ITK based and statistical models in the statismo format are stored on the Virtual Skeleton Database.
Storage of Dicom, Analyze, Niftii, MetaImage and HDF5 files.
Organize the data into folder and sharing thereof
Semantically driven search option to find datasets containing the required anatomical structures.
Linking of datasets to find related data
|Gender||CT (n)||Age (y)||Height (cm)||Weight (kg)||BMI (kg/m^2)|
|Female||33||mean (SD)||56 (19)||167 (6.41)||61.72 (16.55)||22.18 (5.54)|
|Male||67||mean (SD)||54 (21)||177 (8.35)||78.52 (15.92)||25.08 (4.27)|
|Total||100||mean (SD)||54 (20)||173 (9.05)||72.97 (17.90)||24.13 (4.90)|