DatasetDatabase of femur samples
►►►►► Link/cite as https://doi.org/10.4121/uuid:4ae59365-92f0-480b-a899-ade34bc84a00 | full citation
| ?title | Database of femur samples |
| ?creator | Javad Hazrati-Marangalou |
| ?contributor | Bert van Rietbergen |
| ?contributor | Keita Ito |
| ?date accepted | 2013 |
| ?date published | 2013 |
| ?description | The dataset includes a database of human proximal femora: The database was built in the course of VPHOP or the Osteoporotic Virtual Physiological Human project (http://www.vphop.eu/). This data collection is accessible and open to use in the research projects upon proper referencing to the published papers and the database itself. A total of 33 human cadaver femora were collected. The mean age of the donors was 77.8±10.0 years (range 61-95 years), 17 donors were female and 16 donors were male. Each entry in the database contains the finite element model input file in ANSYS format (*.cdb files), a tabular file containing microstructural parameters measured at the location of each element (*.dat) and the reconstructed microCT images of the sample (*.aim). Additional files for each sample such as microCT images and the different masks can be provided upon request. |
| ?language | en |
| ?publisher | Eindhoven University of Technology |
| ?subject | Bone mechanics |
| ? ▲ in collection | |
| ?related publication |  Hazrati Marangalou J, Ito K, Cataldi M, Taddei F, van Rietbergen B. A novel approach to estimate trabecular bone anisotropy using a database approach. Journal of Biomechanics 2013;46: 2356-2362 |
| ?related publication | Patient specific prediction of bone failure using microstructure-enhanced continuum finite element models / Javad Hazrati Marangalou (dissertation, 2013) |
| ?related publication | repository.tue.nl/759548 |
| ?related publication | VPHOP Database website |
| ?related publication | Website VPHOP - The Osteoporotic Virtual Physiological Human |
| ?licence | General terms of use |
DATA
MD5: c521b387c1ea16a8491b1a5f9023ba7asize: 893154727 (852 MB)
Femur_DB.rar (application/x-rar-compressed)