{"id":27086981,"url":"https://github.com/icon-lab/fdb","last_synced_at":"2025-04-06T05:49:06.050Z","repository":{"id":187648991,"uuid":"674676579","full_name":"icon-lab/FDB","owner":"icon-lab","description":"Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction","archived":false,"fork":false,"pushed_at":"2023-12-20T11:56:24.000Z","size":1707,"stargazers_count":16,"open_issues_count":1,"forks_count":5,"subscribers_count":4,"default_branch":"main","last_synced_at":"2023-12-20T17:18:13.193Z","etag":null,"topics":["artificial-intelligence","bridges","deep-learning","diffusion-models","magnetic-resonance-imaging","reconstruction","score-based-generative-modeling"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/icon-lab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-08-04T14:01:57.000Z","updated_at":"2023-12-03T01:10:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"a2e889b9-0ba0-4fa4-8ffc-5827f7a852aa","html_url":"https://github.com/icon-lab/FDB","commit_stats":null,"previous_names":["icon-lab/fdb"],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icon-lab%2FFDB","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icon-lab%2FFDB/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icon-lab%2FFDB/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icon-lab%2FFDB/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/icon-lab","download_url":"https://codeload.github.com/icon-lab/FDB/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247441007,"owners_count":20939236,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","bridges","deep-learning","diffusion-models","magnetic-resonance-imaging","reconstruction","score-based-generative-modeling"],"created_at":"2025-04-06T05:49:05.539Z","updated_at":"2025-04-06T05:49:06.020Z","avatar_url":"https://github.com/icon-lab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FDB\n\nOfficial PyTorch implementation of FDB as described in the [paper](https://arxiv.org/abs/2308.01096)\n\nMuhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yilmaz Korkmaz, Alper Gungor, Salman UH Dar, Tolga Çukur, \"Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction\", arXiv 2023.\n\n\u003cimg src=\"./figures/ddpm_vs_fdb.png\" width=\"600px\"\u003e\n\n## Dependencies\n\n```\npython==3.8.13\nblobfile==2.0.2\nh5py==3.9.0\nimageio==2.22.1\nmpi4py==3.1.4\nnumpy==1.24.4\nPillow==10.0.0\ntorch==2.0.1\n```\n\n## Installation\n- Clone this repo:\n```\ngit clone https://github.com/icon-lab/FDB\ncd FDB\n```\n\n## Train\n\n\u003cbr /\u003e\n\nFor Single-Coil\n```\npython train.py --data_dir /path_to_data/ --log_interval 5000 --save_dir 'model_singlecoil' --save_interval 5000 --image_size 256 --num_channels 128 --num_res_blocks 3 --learn_sigma False --dropout 0.3 --diffusion_steps 1000 --lr 1e-4 --batch_size 1 --lr_anneal_steps 100000 --undersampling_rate 2 --data_type 'singlecoil'\n```\nFor Multi-Coil\n```\npython train.py --data_dir /path_to_data/ --log_interval 5000 --save_dir 'model_multicoil' --save_interval 5000 --image_size 384 --num_channels 128 --num_res_blocks 3 --learn_sigma False --dropout 0.3 --diffusion_steps 1000 --lr 1e-4 --batch_size 1 --lr_anneal_steps 15000 --undersampling_rate 2 --data_type 'multicoil'\n```\n\u003cbr /\u003e\n\n## Inference\n\n\u003cbr /\u003e\n\nFor Single-Coil\n```\npython sample.py --model_path model_singlecoil/ema_0.9999_100000.pt --data_path /path_to_data/ --image_size 256 --num_channels 128 --num_res_blocks 3 --learn_sigma False --dropout 0.3 --diffusion_steps 1500 --save_path results_singlecoil --num_samples 1 --batch_size 1 --data_type 'singlecoil' --R 4 --contrast 'T1'\n```\nFor Multi-Coil\n```\npython sample.py --model_path model_multicoil/ema_0.9999_015000.pt --data_path /path_to_data/ --image_size 384 --num_channels 128 --num_res_blocks 3 --learn_sigma False --dropout 0.3 --diffusion_steps 1750 --save_path results_multicoil --num_samples 1 --batch_size 1 --data_type 'multicoil' --R 8 --contrast 'FLAIR'\n```\n\n\u003cbr /\u003e\n\u003cbr /\u003e\n\n# Citation\nYou are encouraged to modify/distribute this code. However, please acknowledge this code and cite the paper appropriately.\n```\n@misc{mirza2023learning,\n      title={Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction}, \n      author={Muhammad U. Mirza and Onat Dalmaz and Hasan A. Bedel and Gokberk Elmas and Yilmaz Korkmaz and Alper Gungor and Salman UH Dar and Tolga Çukur},\n      year={2023},\n      eprint={2308.01096},\n      archivePrefix={arXiv},\n      primaryClass={eess.IV}\n}\n```\nFor any questions, comments and contributions, please contact Usama Mirza (usama.mirza.819[at]gmail.com ) \u003cbr /\u003e\n\n(c) ICON Lab 2023\n\n\u003cbr /\u003e\n\n# Acknowledgements\n\nThis code uses libraries from [DiffuseRecon](https://github.com/cpeng93/DiffuseRecon) and [Improved DDPM](https://github.com/openai/improved-diffusion) repositories.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ficon-lab%2Ffdb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ficon-lab%2Ffdb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ficon-lab%2Ffdb/lists"}