{"id":"https://openalex.org/W4416582815","doi":"https://doi.org/10.1109/tci.2025.3636743","title":"Convergence-Guaranteed Spectral CT Reconstruction via Internal and External Prior Mining","display_name":"Convergence-Guaranteed Spectral CT Reconstruction via Internal and External Prior Mining","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W4416582815","doi":"https://doi.org/10.1109/tci.2025.3636743"},"language":null,"primary_location":{"id":"doi:10.1109/tci.2025.3636743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2025.3636743","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5012968441","display_name":"Chunyan Liu","orcid":"https://orcid.org/0009-0003-8042-1808"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0003-8042-1808","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087825515","display_name":"Dianlin Hu","orcid":"https://orcid.org/0000-0003-4857-9878"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dianlin Hu","raw_affiliation_strings":["Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, SAR, China","Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4857-9878","affiliations":[{"raw_affiliation_string":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020377956","display_name":"Jiangjun Peng","orcid":"https://orcid.org/0000-0001-9645-5154"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangjun Peng","raw_affiliation_strings":["School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China","School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9645-5154","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Wang","orcid":"https://orcid.org/0000-0002-6520-7681"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China","School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6520-7681","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004008709","display_name":"Qianyu Shu","orcid":"https://orcid.org/0000-0002-3983-4614"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyu Shu","raw_affiliation_strings":["School of Mathematical Sciences, Sichuan Normal University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3983-4614","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Sichuan Normal University, Chengdu, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jianjun Wang","orcid":"https://orcid.org/0000-0002-5344-4460"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5344-4460","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28377816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"46","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9934999942779541,"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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.000699999975040555,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6829000115394592},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.6043999791145325},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5485000014305115},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5015000104904175},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4634999930858612},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4366999864578247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.3837999999523163}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6829000115394592},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.6043999791145325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541999936103821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501000285148621},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49880000948905945},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4634999930858612},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3693999946117401},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3467000126838684},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.32829999923706055},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.31060001254081726},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2840999960899353},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C152822103","wikidata":"https://www.wikidata.org/wiki/Q7575207","display_name":"Spectral shape analysis","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2780441642","wikidata":"https://www.wikidata.org/wiki/Q849737","display_name":"Single-photon emission computed tomography","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2025.3636743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2025.3636743","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2915528550","display_name":null,"funder_award_id":"U24A2001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3581867484","display_name":null,"funder_award_id":"62501466","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7154066199","display_name":null,"funder_award_id":"12261002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1965421570","https://openalex.org/W1968238516","https://openalex.org/W1974963207","https://openalex.org/W1982059935","https://openalex.org/W1987719059","https://openalex.org/W2018125569","https://openalex.org/W2035011596","https://openalex.org/W2043571470","https://openalex.org/W2054218460","https://openalex.org/W2055483062","https://openalex.org/W2061287627","https://openalex.org/W2067113583","https://openalex.org/W2068780335","https://openalex.org/W2094366314","https://openalex.org/W2101768706","https://openalex.org/W2107191924","https://openalex.org/W2146583368","https://openalex.org/W2162987592","https://openalex.org/W2195869758","https://openalex.org/W2469946482","https://openalex.org/W2474516033","https://openalex.org/W2512266304","https://openalex.org/W2516922013","https://openalex.org/W2755989196","https://openalex.org/W2764207251","https://openalex.org/W2765757936","https://openalex.org/W2883633804","https://openalex.org/W2884211269","https://openalex.org/W2912834247","https://openalex.org/W2921457112","https://openalex.org/W2963885538","https://openalex.org/W2990644664","https://openalex.org/W3006689885","https://openalex.org/W3013621693","https://openalex.org/W3042671644","https://openalex.org/W3088729822","https://openalex.org/W3090929676","https://openalex.org/W3122899507","https://openalex.org/W3163294221","https://openalex.org/W3171243408","https://openalex.org/W4206319168","https://openalex.org/W4214911856","https://openalex.org/W4292101282","https://openalex.org/W4294690695","https://openalex.org/W4313427334","https://openalex.org/W4324290866","https://openalex.org/W4353004250","https://openalex.org/W4366303119","https://openalex.org/W4382466177","https://openalex.org/W4385064828","https://openalex.org/W4386883045","https://openalex.org/W4391164097","https://openalex.org/W4394564253","https://openalex.org/W4396982222","https://openalex.org/W4413156119"],"related_works":[],"abstract_inverted_index":{"Spectral":[0],"computed":[1],"tomography":[2],"(CT)":[3],"is":[4,61],"an":[5,62,190],"imaging":[6],"technology":[7],"that":[8,215],"utilizes":[9],"the":[10,19,30,54,58,115,136,166,171,199,205,209,221],"absorption":[11],"characteristics":[12,22],"of":[13,23,33,53,57,74,139,175,208],"different":[14,26],"X-ray":[15,20,42],"energies":[16],"to":[17,45,65,112,134,160,197],"obtain":[18],"attenuation":[21],"objects":[24],"in":[25,125],"energy":[27],"ranges.":[28],"However,":[29],"limited":[31],"number":[32],"photons":[34],"detected":[35],"by":[36,177],"spectral":[37,82,117,126,140,231],"CT":[38,83,127,141,232],"under":[39,92,143],"a":[40,67,71,81,93,144],"specific":[41],"spectrum":[43],"leads":[44],"obvious":[46],"projection":[47,76],"data":[48,60],"noise.":[49],"Making":[50],"full":[51],"use":[52,131],"various":[55],"properties":[56],"original":[59],"effective":[63,191],"way":[64],"recover":[66],"clean":[68],"image":[69,90,158],"from":[70],"small":[72],"amount":[73],"noisy":[75],"data.":[77],"This":[78,97],"paper":[79],"proposes":[80],"reconstruction":[84,201],"method":[85,98,168,223],"based":[86],"on":[87],"representative":[88,162],"coefficient":[89,163],"denoising":[91],"low-rank":[94,102,132],"decomposition":[95,133],"framework.":[96],"integrates":[99],"model-driven":[100],"internal":[101,180],"and":[103,106,121,147,152,181,184,203],"nonlocal":[104,119,150,183],"priors,":[105,110],"data-driven":[107],"external":[108],"deep":[109,122,157],"aiming":[111],"fully":[113],"exploit":[114],"inherent":[116],"correlation,":[118],"self-similarity":[120],"spatial":[123],"features":[124],"images.":[128,164],"Specifically,":[129],"we":[130,188],"characterize":[135],"global":[137],"low-rankness":[138,151],"images":[142,176,233],"plug-and-play":[145],"framework,":[146],"jointly":[148],"utilize":[149],"smoothness":[153],"as":[154,156],"well":[155],"priors":[159],"denoise":[161],"Therefore,":[165],"proposed":[167,200,210,222],"faithfully":[169],"represents":[170],"real":[172],"underlying":[173],"information":[174],"cleverly":[178],"combining":[179],"external,":[182],"local":[185],"priors.":[186],"Meanwhile,":[187],"design":[189],"proximal":[192],"alternating":[193],"minimization":[194],"(PAM)":[195],"algorithm":[196],"solve":[198],"model":[202],"establish":[204],"theoretical":[206],"guarantee":[207],"algorithm.":[211],"Experimental":[212],"results":[213],"show":[214],"compared":[216],"with":[217],"existing":[218],"popular":[219],"algorithms,":[220],"can":[224],"significantly":[225],"reduce":[226],"running":[227],"time":[228],"while":[229],"improving":[230],"quality.":[234]},"counts_by_year":[],"updated_date":"2025-12-19T00:32:22.182498","created_date":"2025-11-25T00:00:00"}