Multimedia Information Processing Group

Cortex Identification in Quantitative CT

Identifying the conter of the cortical bone in clinical CT scans is a tedious task. Furthermore, the apparent cortex center may be displaced from the real cortex center, making it impossible for a human operator to precisely identity it. This software automates the process of cortex center identification and has proved to have very high precision in an ex-vivo setting.

The software library CortidQCT is based on the publication "Reinhold S. et al. (2019) An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT. In: Brox T., Bruhn A., Fritz M. (eds) Pattern Recognition. GCPR 2018. Lecture Notes in Computer Science, vol 11269. Springer, Cham" (preprint here).

Model Creation Step Example output
Model creation GUI Example cortex identification result


The library is written in C++ but also has a C and Matlab bindings.

Binary releases are available for Linux, Windows 10 and macOS.

The source code can be found in this GitHub repository

Contact/Maintainer: Stefan Reinhold