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VSDFullBody: The Virtual Skeleton Database Full Body CT Collection

<p>Reupload of anonymized postmortem CT scans of the whole body originally published by Michael Kistler through the SICAS Medical Image Repository (<a href="https://www.smir.ch/">smir.ch</a>) as open access Virtual Skeleton Database (VSD). The CT datasets were provided by the forensic institutes of the universities of Bern and Zürich and shared under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license after ethical approval of the Cantonal Ethics Committee Bern. Further information can be found in:</p><ul><li>Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R. &amp; Büchler, P. The virtual skeleton database: an open access repository for biomedical research and collaboration. <i>Journal of Medical Internet Research </i><strong>15(11), </strong>e245; <a href="https://doi.org/10.2196/jmir.2930">10.2196/jmir.2930</a> (2013).</li><li>Kistler, M. A database framework to incorporate statistical variability in biomechanical simulations. PhD thesis. Faculty of Medicine of the University of Bern; <a href="https://boristheses.unibe.ch/916">boristheses.unibe.ch/916</a> (2014).</li></ul><p>Due to ongoing difficulties in accessing the SMIR website a mirror of the original VSDFullBody datasets without any alterations is provided<strong>.</strong></p><p><strong>CAUTION:</strong> The VSD contains a few inconsistencies, such as duplicate CT datasets. The uploader is not connected to the SMIR or VSD and, therefore, not responsible for errors in the VSD. However, errors that the uploader recognized during the work with the VSD were logged in an Excel file: <a href="https://rwth-aachen.sciebo.de/s/rSVi7VsUyRCv37K">VSD_Comments.xlsx</a></p><p>Datasets of the VSD were used for the creation of surface models of the lower body's osseous anatomy. Further information can be found in:&nbsp;</p><ul><li>Fischer, M. C. M. Database of segmentations and surface models of bones of the entire lower body created from cadaver CT scans. <i>Scientific Data</i> <strong>10</strong>, 763; <a href="https://doi.org/10.1038/s41597-023-02669-z">10.1038/s41597-023-02669-z</a> (2023).</li></ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
8
Reuse readiness
4
Engagement
8

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