Yulong Dou, Han Wu, Changjian Li, Chen Wang, Tong Yang, Min Zhu, Dinggang Shen, and Zhiming Cui.
This is the official repository of our paper CLIK-Diffusion: Clinical Knowledge-informed Diffusion Model for Tooth Alignment in Medical Image Analysis (MedIA) 2025. In this work, we formulate the complex problem of tooth alignment as a more manageable landmark transformation problem, which is further refined into a landmark coordinate generation task via diffusion model. To further encourage the integration of essential clinical knowledge, we design hierarchical constraints from three perspectives: dental-arch level, inter-tooth level, and individual-tooth level.
- [2025-08-05] Version of Record of our paper is available online, see Paper!
- [2025-07-25] Dataset released!
- [2025-07-25] Code released!
- [2025-07-22] Our paper is accepted by MedIA 2025!
First clone this repo. And then set up an environment and install required packages.
git clone https://github.com/ShanghaiTech-IMPACT/CLIK-Diffusion.git
conda create -n tooth python=3.8
conda activate tooth
pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113
pip install -r requirements.txtWe now only provide case-by-case code for testing. To test our model ——
- First download both checkpoints of landmark detection network and checkpoints of diffusion model from https://drive.google.com/drive/folders/1o9tVJ6p8Jbad3gu0ZUkX0tE5dp7Vkh9g?usp=sharing.
- Then put all five downloaded checkpoints into
./Code/checkpoint. - We have prepared some data samples for you to start a quick test. The pre-orthodontic tooth meshes are stored in
./Data. - Run the following command:
cd CLIK-Diffusion python Code/infer.py -i "./Data/275" -o "./Output" # add argument "-v" if you want see the results of landmark detection network
- You will find the post-orthodontic tooth meshes which are predicted by our method in
./Output.
★ Our dataset is available for reserach purpose only. To apply for our CLIK-Diffusion dataset, please fill out the Data Access Agreement and send the signed e-copy to Yulong Dou (email: [email protected]) and Zhiming Cui (email: [email protected]), as well as CC your supervisor. We will send you the dataset link and password when recieving the data access form.
If you find this code or dataset useful, please cite our paper:
@article{DOU2025103746,
title = {CLIK-Diffusion: Clinical Knowledge-informed Diffusion Model for Tooth Alignment},
journal = {Medical Image Analysis},
volume = {106},
pages = {103746},
year = {2025},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2025.103746},
url = {https://www.sciencedirect.com/science/article/pii/S1361841525002932},
author = {Yulong Dou and Han Wu and Changjian Li and Chen Wang and Tong Yang and Min Zhu and Dinggang Shen and Zhiming Cui}
}