--- license: cc-by-nc-4.0 task_categories: - image-feature-extraction language: - en tags: - medical - image - biometry - measurement - x-ray - cephalogram pretty_name: cephalogram400 size_categories: - n<1K --- ## About This is a modified version of [data](https://figshare.com/s/37ec464af8e81ae6ebbf) for the paper: [Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms](https://doi.org/10.1038/srep33581) - 400 head and neck X-ray scans and 19 landmarks for each image - We saved the original 2D `.bmp` images into pseudo 3D `.nii.gz` files in a manner that the original 2D sagittal slices can be extracted from the 3D NIfTI files correctly assuming the standard RAS+ orientation of `.nii.gz` files. A pseudo voxel size [0.1, 0.1, 0.1] is set in the NIfTI header, according to the data description in the paper: "The image resolution was 1935 × 2400 pixels with a pixel spacing of 0.1 mm." - We change the landmarks coordinates to 3D, making it consistent with the new 3D NIfTI files. - Figures of image and landmarks are added for visual inspection. - Images (`.nii.gz` files), landmarks (`.json` files) and figures (`.png` files) are saved in `Images`, `Landmarks`, and `Landmarks-fig` folders. ## Download from Huggingface ```bash #!/bin/bash pip install --upgrade huggingface-hub[cli] huggingface-cli login --token $HF_TOKEN ``` ```python # python from huggingface_hub import snapshot_download snapshot_download(repo_id="YongchengYAO/Cephalogram400", repo_type='dataset', local_dir="/your/local/folder") ``` ## Landmarks Labels ```python landmarks_map = { "P1": "sella", "P2": "nasion", "P3": "orbitale", "P4": "porion", "P5": "subspinale", "P6": "supramentale", "P7": "pogonion", "P8": "menton", "P9": "gnathion", "P10": "gonion", "P11": "incision inferius", "P12": "incision superius", "P13": "upper lip", "P14": "lower lip", "P15": "subnasale", "P16": "soft tissue pogonion", "P17": "posterior nasal spine", "P18": "anterior nasal spine", "P19": "articulare", } ``` ## License This dataset is released under the `CC BY-NC 4.0` license.