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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- image-feature-extraction |
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language: |
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- en |
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tags: |
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- medical |
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- image |
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- biometry |
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- biometrics |
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- measurement |
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- x-ray |
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- cephalogram |
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- head |
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- neck |
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pretty_name: ceph-biometrics-400 |
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size_categories: |
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- n<1K |
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--- |
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## About |
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This is a modified version of [data](https://figshare.com/s/37ec464af8e81ae6ebbf) for the paper: |
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[Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms](https://doi.org/10.1038/srep33581) |
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**Dataset Summary:** |
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- 400 head and neck X-ray scans and 19 landmarks for each image |
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**What's new?** |
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- We saved the original 2D `.bmp` images into pseudo 3D `.nii.gz` files in a manner that the original |
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2D sagittal slices can be extracted from the 3D NIfTI files correctly assuming the standard RAS+ |
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orientation of `.nii.gz` files. A pseudo voxel size [0.1, 0.1, 0.1] is set in the NIfTI header, |
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according to the data description in the paper: "The image resolution was 1935 × 2400 pixels with |
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a pixel spacing of 0.1 mm." |
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- We used the landmark annotations from the folder `400_senior` in the original dataset. |
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- We changed the landmarks coordinates to 3D, making it consistent with the new 3D NIfTI files. |
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- Figures of image and landmarks are added for visual inspection. |
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- Images (`.nii.gz` files), landmarks (`.json` files) and figures (`.png` files) are saved in |
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`Images`, `Landmarks`, and `Landmarks-fig` folders. |
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## Changelog 🔥 |
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- [3 Mar, 2025] Update the data structure of JSON files within `Landmarks.zip`. Landmarks coordinates remain unchanged. |
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- [1 Mar, 2025] |
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- Update `Landmarks.zip`: correct the coordinates in JSON files. It's recommended to redownload all compressed files. |
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- Add a data preparation script `get_dataset.py`. |
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- Add data usage agreement. |
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## Data Usage Agreement |
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By using the dataset, you agree to the terms as follow. |
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- You must cite the paper: [Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms](https://doi.org/10.1038/srep33581) |
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- You must refer to the source of this dataset in any publication: |
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`https://huggingface.co/datasets/YongchengYAO/Ceph-Biometrics-400` |
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## Download from Huggingface |
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```bash |
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#!/bin/bash |
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pip install --upgrade huggingface-hub[cli] |
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huggingface-cli login --token $HF_TOKEN |
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``` |
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```python |
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# python |
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from huggingface_hub import snapshot_download |
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snapshot_download(repo_id="YongchengYAO/Ceph-Biometrics-400", repo_type='dataset', local_dir="/your/local/folder") |
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``` |
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## Landmarks Labels |
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```python |
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landmarks_map = { |
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"P1": "sella", |
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"P2": "nasion", |
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"P3": "orbitale", |
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"P4": "porion", |
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"P5": "subspinale", |
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"P6": "supramentale", |
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"P7": "pogonion", |
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"P8": "menton", |
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"P9": "gnathion", |
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"P10": "gonion", |
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"P11": "incision inferius", |
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"P12": "incision superius", |
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"P13": "upper lip", |
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"P14": "lower lip", |
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"P15": "subnasale", |
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"P16": "soft tissue pogonion", |
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"P17": "posterior nasal spine", |
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"P18": "anterior nasal spine", |
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"P19": "articulare", |
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} |
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``` |
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# From Raw Data |
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You can replicate the data processing step by running the script: |
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```bash |
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python get_dataset.py -d <datasets_folder> -n Ceph-Biometrics-400 |
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``` |
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## License |
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This dataset is released under the `CC BY-NC 4.0` license. |
