COBRA2026: a large-scale multicenter pelvic cone-beam computed tomography projection dataset

The COBRA2026 dataset is a large-scale, multicenter resource of raw radiotherapy cone-beam computed tomography (CBCT) acquisitions created for the development and evaluation of conventional and learning-based reconstruction and image-correction methods.

It contains data from 867 patients undergoing pelvic radiotherapy at six European centers, acquired using Elekta and Varian imaging systems.

For each case, the dataset includes raw projection data, acquisition geometry, calibration and correction information, clinically reconstructed CBCT images, and corresponding planning CT images.

Vendor-specific files were anonymized and converted into open formats.

Planning CT images were deformably registered to the daily CBCT anatomy, and matched projections were simulated using the corresponding acquisition geometry.

All cases underwent visual quality control, and cases with substantial processing or registration errors were excluded.

The approximately 950 GB dataset is divided into training, validation, and test sets containing 692, 52, and 123 cases, respectively.

Projection stacks and volumetric images are provided as compressed MetaImage files, with geometry and metadata supplied in XML and YAML formats.

COBRA2026 supports research on full- and sparse-view reconstruction, low-dose imaging, artifact and scatter correction, motion compensation, and synthetic CT generation.

The dataset is released under the CC BY-NC 4.0 license, indexed on Zenodo (doi:https://doi.org/10.5281/zenodo.21322350), and accompanied by openly available preprocessing and baseline reconstruction code.

It also forms the basis of the COBRA2026 reconstruction challenge.