{"doi":"10.1109/tmi.2024.3494271","title":"Physics-Informed Score-Based Diffusion Model for Limited-Angle Reconstruction of Cardiac Computed Tomography","abstract":"Cardiac computed tomography (CT) has emerged as a major imaging modality for the diagnosis and monitoring of cardiovascular diseases. High temporal resolution is essential to ensure diagnostic accuracy. Limited-angle data acquisition can reduce scan time and improve temporal resolution, but typically leads to severe image degradation and motivates for improved reconstruction techniques. In this paper, we propose a novel physics-informed score-based diffusion model (PSDM) for limited-angle reconstruction of cardiac CT. At the sampling time, we combine a data prior from a diffusion model and a model prior obtained via an iterative algorithm and Fourier fusion to further enhance the image quality. Specifically, our approach integrates the primal-dual hybrid gradient (PDHG) algorithm with score-based diffusion models, thereby enabling us to reconstruct high-quality cardiac CT images from limited-angle data. The numerical simulations and real data experiments confirm the effectiveness of our proposed approach.","journal":"IEEE Transactions on Medical Imaging","year":2024,"id":435865,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9561,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":865393,"name":"Yongshun Xu","orcid":null,"position":1,"is_corresponding":false},{"id":1243474,"name":"Dayang Wang","orcid":"0000-0003-0531-2110","position":2,"is_corresponding":false},{"id":1243996,"name":"Bahareh Morovati","orcid":null,"position":3,"is_corresponding":false},{"id":1243475,"name":"L. P. Zhou","orcid":"0000-0001-6989-8080","position":4,"is_corresponding":false},{"id":839597,"name":"Jonathan S. Maltz","orcid":"0000-0002-8281-255X","position":5,"is_corresponding":false},{"id":277821,"name":"Ge Wang","orcid":"0000-0002-2656-7705","position":6,"is_corresponding":false},{"id":548521,"name":"Hengyong Yu","orcid":"0000-0002-5852-0813","position":7,"is_corresponding":false},{"id":1243473,"name":"Shuo Han","orcid":"0000-0002-6187-1307","position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-19T02:00:08.103086Z","pmid":"39514350","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}