---
license: cc-by-nc-4.0
---

Dataset of ''<a href='https://arxiv.org/pdf/2602.11536'>Vascular Anatomy-aware Self-supervised Pre-training for X-ray Angiogram Analysis</a>''.

Authors: <a href="https://dxhuang-casia.github.io/">De-Xing Huang</a><sup>1,2</sup>, <a href="https://richardych.github.io/">Chaohui Yu</a><sup>3</sup>, <a href="https://scholar.google.com/citations?user=e9_7q0gAAAAJ&hl=en">Xiao-Hu Zhou</a><sup>1,2</sup>, <a href="https://garyxty.github.io/">Tian-Yu Xiang</a><sup>1,2</sup>, <a href="https://scholar.google.com/citations?user=NePbSy4AAAAJ&hl">Qin-Yi Zhang</a><sup>1,2</sup>, <a href="https://scholar.google.com/citations?user=_oQTTCAAAAAJ&hl">Mei-Jiang Gui</a><sup>1,2</sup>, Rui-Ze Ma<sup>1</sup>, Chen-Yu Wang<sup>1</sup>, Nu-Fang Xiao<sup>1</sup>, <a href="https://scholar.google.com/citations?user=WCRGTHsAAAAJ&hl">Fan Wang</a><sup>3</sup>, and <a href="https://scholar.google.com/citations?user=tU0CwGwAAAAJ&hl">Zeng-Guang Hou</a><sup>1,2</sup>

<sup>1</sup> Institute of Automation, Chinese Academy of Sciences

<sup>2</sup> University of Chinese Academy of Sciences

<sup>3</sup> DAMO Acamedy, Alibaba Group

XA-170K is collected from four publicly available sources: <a href="https://data.mendeley.com/datasets/p9bpx9ctcv/5">CADICA</a>, <a href="https://figshare.com/articles/dataset/X-Ray_Angiography_Images_and_SYNTAX-Score_Dataset/25801447">SYNTAX</a>, <a href="https://github.com/AISIGSJTU/SSVS">XCAD</a>, and <a href="https://huggingface.co/datasets/BearSubj13/CoronaryDominance">CoronaryDominance</a>.

i) CADICA comprises coronary angiography videos from 42 patients, with durations ranging from 1 to 151 frames. From these, we select 6,594 high-quality frames.

ii) SYNTAX contains 2,943 X-ray angiograms derived from 231 patients.

iii) XCAD provides a set of 1,747 angiograms, from which 1,621 images are utilized. 

iv) CoronaryDominance consists of videos from 1,574 patients. We extract informative frames from each video sequence, yielding a total of 160,320 images.

## ✏️ Citation
If you utilize the pre-training dataset, please also consider citing the original data sources:
```bibtex
@article{jimenez2024cadica,
  title={CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography},
  author={Jim{\'e}nez-Partinen and others},
  journal={Expert Systems},
  volume={41},
  number={12},
  pages={e13708},
  year={2024}
}

@article{mahmoudi2025x,
  title={X-ray Coronary Angiogram images and {SYNTAX} score to develop Machine-Learning algorithms for {CHD} Diagnosis},
  author={Mahmoudi, Seyed Sajjad and others},
  journal={Scientific Data},
  volume={12},
  number={1},
  pages={471},
  year={2025}
}

@inproceedings{ma2021self,
  title={Self-supervised vessel segmentation via adversarial learning},
  author={Ma, Yuxin and others},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages={7536--7545},
  year={2021}
}

@article{kruzhilov2025coronarydominance,
  title={{CoronaryDominance}: Angiogram dataset for coronary dominance classification},
  author={Kruzhilov, Ivan and others},
  journal={Scientific Data},
  volume={12},
  number={1},
  pages={341},
  year={2025}
}
```