{"id":28865941,"url":"https://github.com/dkazanc/multi-channel-x-ray-ct","last_synced_at":"2025-08-19T23:09:12.684Z","repository":{"id":109495336,"uuid":"131307503","full_name":"dkazanc/multi-channel-X-ray-CT","owner":"dkazanc","description":"Software supporting \"Joint image reconstruction method with correlative multi-channel prior for X-ray spectral computed tomography\" publication in Inverse Problems journal","archived":false,"fork":false,"pushed_at":"2020-07-31T13:27:02.000Z","size":13757,"stargazers_count":6,"open_issues_count":2,"forks_count":6,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-20T10:49:30.486Z","etag":null,"topics":["image-reconstruction","inverse-problems","matlab","regularization"],"latest_commit_sha":null,"homepage":"http://iopscience.iop.org/article/10.1088/1361-6420/aaba86/meta","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dkazanc.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,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2018-04-27T14:32:41.000Z","updated_at":"2025-01-19T12:11:01.000Z","dependencies_parsed_at":"2023-05-01T22:32:34.958Z","dependency_job_id":null,"html_url":"https://github.com/dkazanc/multi-channel-X-ray-CT","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dkazanc/multi-channel-X-ray-CT","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkazanc%2Fmulti-channel-X-ray-CT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkazanc%2Fmulti-channel-X-ray-CT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkazanc%2Fmulti-channel-X-ray-CT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkazanc%2Fmulti-channel-X-ray-CT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dkazanc","download_url":"https://codeload.github.com/dkazanc/multi-channel-X-ray-CT/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dkazanc%2Fmulti-channel-X-ray-CT/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271236280,"owners_count":24723978,"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","status":"online","status_checked_at":"2025-08-19T02:00:09.176Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["image-reconstruction","inverse-problems","matlab","regularization"],"created_at":"2025-06-20T10:39:42.464Z","updated_at":"2025-08-19T23:09:12.669Z","avatar_url":"https://github.com/dkazanc.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Joint image reconstruction method with correlative multi-channel prior for X-ray spectral computed tomography (SOFTWARE)\n\n**The presented software reproduces numerical results of Inverse Problems journal [paper](https://doi.org/10.1088/1361-6420/aaba86). Software generates realisitic synthetic multi-energetic tomographic projection data and reconstructs it. Novel prior-correlative multi-channel algorithm is compared with other state-of-the-art reconstruction algorithms. Note that a GPU (Nvidia) card is required to use the software.** \n\n## General software prerequisites\n * [MATLAB](http://www.mathworks.com/products/matlab/) \n * C compilers and nvcc [CUDA SDK](https://developer.nvidia.com/cuda-downloads) compilers\n * [ASTRA-toolbox](https://www.astra-toolbox.com/) \n \n## Software dependencies for data generation script: \n * [Photon Attenuation](https://uk.mathworks.com/matlabcentral/fileexchange/12092-photonattenuation)\n * [Spektr](http://istar.jhu.edu/downloads/) \n\n## Software dependencies for data reconstruction script: \n * [CCPi-RegularisationToolkit](https://github.com/vais-ral/CCPi-Regularisation-Toolkit)\n * [Spot operator package](http://www.cs.ubc.ca/labs/scl/spot/)\n\n## Installation and known Issues:\n * See INSTALLATION file for detailed recommendations\n * There is an [issue](https://github.com/dkazanc/multi-channel-X-ray-CT/issues/1) related to Photon Attenuation software\n \n## Package contents:\n * SpectralData_generation_demo.m - script to generate data\n * SpectralData_noCrime.mat - pre-generated data obtained with the script above\n * SpectralReconDemo.m - script to perform reconstruction of generated data\n * FISTA_REC_rct.m - main reconstruction function (FISTA algorithm)\n\n### References:\n * [Kazantsev D., Jørgensen J.S., Andersen M., Lionheart W.R., Lee P.D. and Withers P.J., 2018. Joint image reconstruction method with correlative multi-channel prior for X-ray spectral computed tomography. Inverse Problems](https://doi.org/10.1088/1361-6420/aaba86)\n * [SIAM 2018 presentation](https://github.com/dkazanc/multi-channel-X-ray-CT/blob/master/docs/SIAM_Kazantsev18.pdf)\n \n### License:\nGNU GENERAL PUBLIC LICENSE v.3\n\n### Questions/Comments\ncan be addressed to Daniil Kazantsev at dkazanc@hotmail.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkazanc%2Fmulti-channel-x-ray-ct","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdkazanc%2Fmulti-channel-x-ray-ct","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkazanc%2Fmulti-channel-x-ray-ct/lists"}