|
|
# Learn2Reg – Abdomen MR-CT (TCIA Subset) |
|
|
|
|
|
## License |
|
|
Because Learn2Reg sourced images from different datasets and here we only used the TCIA-relevant subset, the license is as follows: |
|
|
TCIA (TCGA-KIRC, TCGA-KIRP, TCGA-LIHC): [TCIA Data Usage Policy](https://www.cancerimagingarchive.net/data-usage-policies/) and [Creative Commons Attribution 3.0 Unported License](https://creativecommons.org/licenses/by/3.0/). |
|
|
|
|
|
## Citation |
|
|
Paper BibTeX: |
|
|
|
|
|
```bibtex |
|
|
@article{hering2022learn2reg, |
|
|
title={Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning}, |
|
|
author={Hering, Alessa and Hansen, Lasse and Mok, Tony CW and Chung, Albert CS and Siebert, Hanna and H{\"a}ger, Stephanie and Lange, Annkristin and Kuckertz, Sven and Heldmann, Stefan and Shao, Wei and others}, |
|
|
journal={IEEE Transactions on Medical Imaging}, |
|
|
volume={42}, |
|
|
number={3}, |
|
|
pages={697--712}, |
|
|
year={2022}, |
|
|
publisher={IEEE} |
|
|
} |
|
|
``` |
|
|
|
|
|
|
|
|
## Dataset description |
|
|
The Learn2Reg challenge provides datasets, annotations, and open-source evaluation code for developing and benchmarking medical image registration methods. The Abdomen MR-CT task includes CT scans with organ labels to support multi-modal abdominal image registration research. |
|
|
|
|
|
**Challenge homepage**: https://learn2reg.grand-challenge.org/learn2reg-2025/ |
|
|
|
|
|
**Number of CT volumes**: 16 |
|
|
|
|
|
**Contrast**: - |
|
|
|
|
|
**CT body coverage**: Abdomen |
|
|
|
|
|
**Does the dataset include any ground truth annotations?**: Yes |
|
|
|
|
|
**Original GT annotation targets**: Liver, spleen, right kidney, left kidney |
|
|
|
|
|
**Number of annotated CT volumes**: 8 |
|
|
|
|
|
**Annotator**: Human |
|
|
|
|
|
**Acquisition centers**: - |
|
|
|
|
|
**Pathology/Disease**: - |
|
|
|
|
|
**Original dataset download link**: (Task "Abdomen MR-CT") https://learn2reg.grand-challenge.org/Datasets/ |
|
|
|
|
|
**Original dataset format**: nifti |
|
|
|
|
|
## Note |
|
|
This subset contains 16 TCIA images from the Abdomen MR-CT task (sources: TCGA-KIRC, TCGA-KIRP, TCGA-LIHC), corresponding to imagesTr/ and imagesTs/ cases AbdomenMRCT_0001_0001 to AbdomenMRCT_0016_0001. Our internal IDs (learn2reg_img000x_tcia) do not match the original 1–16 numbering. |
