{"id":"https://openalex.org/W4407451061","doi":"https://doi.org/10.1109/tmi.2025.3541491","title":"CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction Across Various Sampling Rates","display_name":"CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction Across Various Sampling Rates","publication_year":2025,"publication_date":"2025-02-13","ids":{"openalex":"https://openalex.org/W4407451061","doi":"https://doi.org/10.1109/tmi.2025.3541491","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031824"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3541491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3541491","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019472500","display_name":"Liutao Yang","orcid":"https://orcid.org/0000-0001-5187-3440"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liutao Yang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063511624","display_name":"Jiahao Huang","orcid":"https://orcid.org/0000-0002-8032-9097"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiahao Huang","raw_affiliation_strings":["Bioengineering Department and Imperial-X, Imperial College London, London, U.K","Bioengineering Department and Imperial-X, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Bioengineering Department and Imperial-X, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Bioengineering Department and Imperial-X, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436460","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0001-7344-7733"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Bioengineering Department and Imperial-X, Imperial College London, London, U.K","Bioengineering Department and Imperial-X, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Bioengineering Department and Imperial-X, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Bioengineering Department and Imperial-X, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018821033","display_name":"Daoqiang Zhang","orcid":"https://orcid.org/0000-0002-5658-7643"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoqiang Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019472500"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":9.035,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97812046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"44","issue":"6","first_page":"2581","last_page":"2593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10844","display_name":"Radiation Dose and Imaging","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6534667015075684},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6061496734619141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5222238302230835},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.44782555103302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41088393330574036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.393553227186203},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12308052182197571}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6534667015075684},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6061496734619141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5222238302230835},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.44782555103302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41088393330574036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.393553227186203},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12308052182197571},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3541491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3541491","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40031824","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031824","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2702228003","display_name":null,"funder_award_id":"IEC\\NSFC\\211235","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G7869937607","display_name":null,"funder_award_id":"62136004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7986630670","display_name":null,"funder_award_id":"952172","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8386303559","display_name":null,"funder_award_id":"62276130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1968238516","https://openalex.org/W2071847032","https://openalex.org/W2083927153","https://openalex.org/W2119259145","https://openalex.org/W2168591365","https://openalex.org/W2194775991","https://openalex.org/W2515506870","https://openalex.org/W2533020866","https://openalex.org/W2542870090","https://openalex.org/W2563619737","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2593226005","https://openalex.org/W2611467245","https://openalex.org/W2751661828","https://openalex.org/W2793419304","https://openalex.org/W2796256498","https://openalex.org/W2895115770","https://openalex.org/W2911459672","https://openalex.org/W2962785568","https://openalex.org/W2963392702","https://openalex.org/W2971916332","https://openalex.org/W2999942426","https://openalex.org/W3046301294","https://openalex.org/W3093900383","https://openalex.org/W3103645830","https://openalex.org/W3138516171","https://openalex.org/W3205399766","https://openalex.org/W4297828509","https://openalex.org/W4304091533","https://openalex.org/W4308371836","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W4313041966","https://openalex.org/W4381302562","https://openalex.org/W4386352680","https://openalex.org/W4387211256","https://openalex.org/W4387211645","https://openalex.org/W4390872720","https://openalex.org/W6779823529","https://openalex.org/W6783531618","https://openalex.org/W6783713337","https://openalex.org/W6786375611","https://openalex.org/W6795288823","https://openalex.org/W6802200016","https://openalex.org/W6804703708","https://openalex.org/W6838815585","https://openalex.org/W6839336026","https://openalex.org/W6842166005"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Sparse":[0],"views":[1,136],"X-ray":[2],"computed":[3],"tomography":[4],"has":[5,38],"emerged":[6],"as":[7],"a":[8,90,106],"contemporary":[9],"technique":[10],"to":[11,28,94,120,137,141],"mitigate":[12],"radiation":[13],"dose.":[14],"Because":[15],"of":[16,20,58,76,182],"the":[17,52,55,72,112,122,126,130,143,155,160,178],"reduced":[18],"number":[19],"projection":[21,123,135],"views,":[22],"traditional":[23],"reconstruction":[24,92,98],"methods":[25,37,63],"can":[26,132,158],"lead":[27],"severe":[29],"artifacts.":[30],"Recently,":[31],"research":[32],"studies":[33],"utilizing":[34],"deep":[35,59],"learning":[36,60],"made":[39],"promising":[40],"progress":[41],"in":[42,79,111,125,152,188],"removing":[43],"artifacts":[44],"for":[45,117],"Sparse-View":[46],"Computed":[47],"Tomography":[48],"(SVCT).":[49],"However,":[50],"given":[51],"limitations":[53],"on":[54,67,173],"generalization":[56],"capability":[57],"models,":[61],"current":[62],"usually":[64],"train":[65],"models":[66],"fixed":[68],"sampling":[69,101,114,165,198],"rates,":[70],"affecting":[71],"usability":[73],"and":[74,180],"flexibility":[75],"model":[77,116,157],"deployment":[78],"real":[80],"clinical":[81],"settings.":[82],"To":[83],"address":[84],"this":[85],"issue,":[86],"our":[87,183],"study":[88],"proposes":[89],"adaptive":[91],"method":[93],"achieve":[95],"high-performance":[96],"SVCT":[97,118],"at":[99],"various":[100,164,197],"rate.":[102],"Specifically,":[103],"we":[104],"design":[105],"novel":[107],"imaging":[108],"degradation":[109],"operator":[110],"proposed":[113,156],"diffusion":[115,153],"(CT-SDM)":[119],"simulate":[121],"process":[124],"sinogram":[127],"domain.":[128],"Thus,":[129],"CT-SDM":[131],"gradually":[133],"add":[134],"highly":[138],"undersampled":[139],"measurements":[140],"generalize":[142],"full-view":[144,161],"sinograms.":[145],"By":[146],"choosing":[147],"an":[148],"appropriate":[149],"starting":[150],"point":[151],"inference,":[154],"recover":[159],"sinograms":[162],"from":[163,192],"rate":[166],"with":[167],"only":[168],"one":[169],"trained":[170],"model.":[171],"Experiments":[172],"several":[174],"datasets":[175],"have":[176],"verified":[177],"effectiveness":[179],"robustness":[181],"approach,":[184],"demonstrating":[185],"its":[186],"superiority":[187],"reconstructing":[189],"high-quality":[190],"images":[191],"sparse-view":[193],"CT":[194],"scans":[195],"across":[196],"rates.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}