Anduin is a freely available research tool designed for segmenting vertebrae in CT scans. Developed at the Technical University of Munich (TUM) School of Medicine, Anduin was released under CC-BY-SA 4.0 as part of the ERC proof-of-concept grant. You can upload your NIfTI file to the TUM servers and download the processed results.
The creators of Anduin have since incorporated Bonescreen GmbH and extensively enhanced the underlying algorithms and workflows, culminating in SpineR. SpineR offers improved segmentation accuracy, faster processing and enhanced stability. It can be run securely on your own computer with a single command, without any data transfer to external servers.
[1] Sekuboyina et al. Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. At MICCAI, 2018.
[2] Sekuboyina et al. VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. In Medical Image Analysis, 2021.
[3] VerSe: Large Scale Vertebrae Segmentation Challenge: https://github.com/anjany/verse
