{"id":"https://openalex.org/W7204275274","doi":"https://doi.org/10.1177/08953996261476606","title":"A dual domain reconstruction network for sparse-view spectral CT integrating SSM and cross attention","display_name":"A dual domain reconstruction network for sparse-view spectral CT integrating SSM and cross attention","publication_year":2026,"publication_date":"2026-08-26","ids":{"openalex":"https://openalex.org/W7204275274","doi":"https://doi.org/10.1177/08953996261476606","pmid":"https://pubmed.ncbi.nlm.nih.gov/42647660"},"language":"en","primary_location":{"id":"doi:10.1177/08953996261476606","doi":"https://doi.org/10.1177/08953996261476606","is_oa":false,"landing_page_url":"https://doi.org/10.1177/08953996261476606","pdf_url":null,"source":{"id":"https://openalex.org/S142959780","display_name":"Journal of X-Ray Science and Technology","issn_l":"0895-3996","issn":["0895-3996","1095-9114"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of X-Ray Science and Technology","raw_type":"journal-article"},"volume":null,"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/A5123218692","display_name":"\u674e\u742a\u73ae Li Qiwei","orcid":"https://orcid.org/0009-0007-8999-0512","observed_orcids":["https://orcid.org/0009-0007-8999-0512"]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Li","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0007-8999-0512","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009572638","display_name":"Zaifeng Shi","orcid":"https://orcid.org/0000-0002-3851-5697","observed_orcids":["https://orcid.org/0000-0002-3851-5697"]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zaifeng Shi","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China","Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3851-5697","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037289825","display_name":"Fanning Kong","orcid":"https://orcid.org/0000-0002-5554-0181","observed_orcids":["https://orcid.org/0000-0002-5554-0181"]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanning Kong","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109490347","display_name":"Yudong Hao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Hao","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010981786","display_name":"Baijin Song","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baijin Song","raw_affiliation_strings":["School of Microelectronics, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110461612","display_name":"Bingtao Wen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingtao Wen","raw_affiliation_strings":["Department of Orthopaedics, Peking University International Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Orthopaedics, Peking University International Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210133846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009572638"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59726672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8953996261476606","last_page":"8953996261476606"},"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":0.75,"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":0.75,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.1881999969482422,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.013000000268220901,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ct-reconstruction","display_name":"CT image reconstruction","score":0.8790000081062317},{"id":"https://openalex.org/keywords/state-space-models","display_name":"state-space model","score":0.6710000038146973},{"id":"https://openalex.org/keywords/cross-attention","display_name":"cross-attention","score":0.8519999980926514},{"id":"https://openalex.org/keywords/multiscale-attention","display_name":"multi-scale attention","score":0.9340000152587891},{"id":"https://openalex.org/keywords/radiation-dose-reduction","display_name":"radiation dose reduction","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672999858856201},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6632000207901001},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6377999782562256},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6115999817848206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892999768257141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5346999764442444},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4275999963283539},{"id":"https://openalex.org/C2778740170","wikidata":"https://www.wikidata.org/wiki/Q7575210","display_name":"Spectral space","level":2,"score":0.40869998931884766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.34790000319480896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3395000100135803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.335999995470047},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.30140000581741333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27219998836517334},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.26829999685287476},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.2583000063896179}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/08953996261476606","doi":"https://doi.org/10.1177/08953996261476606","is_oa":false,"landing_page_url":"https://doi.org/10.1177/08953996261476606","pdf_url":null,"source":{"id":"https://openalex.org/S142959780","display_name":"Journal of X-Ray Science and Technology","issn_l":"0895-3996","issn":["0895-3996","1095-9114"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of X-Ray Science and Technology","raw_type":"journal-article"},{"id":"pmid:42647660","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42647660","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,"listed_in":[],"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":"Journal of X-ray science and technology","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.6888868808746338,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G4654631039","display_name":"\u9762\u5411\u4f4e\u5242\u91cf\u80fd\u8c31CT\u7684\u5bf9\u6297\u5b66\u4e60\u5f0f\u80fd\u91cf\u63a2\u6d4b\u4e0e\u7269\u8d28\u5206\u89e3\u6280\u672f\u7814\u7a76","funder_award_id":"62071326","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":29,"referenced_works":["https://openalex.org/W1963611359","https://openalex.org/W1964231221","https://openalex.org/W1983281817","https://openalex.org/W1985659806","https://openalex.org/W2002611249","https://openalex.org/W2094366314","https://openalex.org/W2195651308","https://openalex.org/W2559416828","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2612085147","https://openalex.org/W2791871435","https://openalex.org/W2949153442","https://openalex.org/W2993817755","https://openalex.org/W3089678347","https://openalex.org/W3142251953","https://openalex.org/W3146850382","https://openalex.org/W3164607782","https://openalex.org/W3207887879","https://openalex.org/W3208757304","https://openalex.org/W4205470984","https://openalex.org/W4214768171","https://openalex.org/W4296142362","https://openalex.org/W4400346244","https://openalex.org/W4400448280","https://openalex.org/W4400519485","https://openalex.org/W4410060952","https://openalex.org/W4414243662","https://openalex.org/W4415796023"],"related_works":[],"abstract_inverted_index":{"ObjectiveSparse":[0],"View":[1],"Computed":[2],"Tomography":[3],"(SVCT)":[4],"is":[5,57],"an":[6,95,159,184],"effective":[7],"way":[8],"to":[9,19,115,147,220],"reduce":[10],"radiation":[11],"dose.":[12],"However,":[13],"missing":[14,117],"information":[15,32,212],"of":[16,33,87,171,186,189,192,196],"projection":[17,43,80,118],"leads":[18],"noise":[20],"and":[21,38,55,81,94,123,140,156,164,194,213],"artifacts.":[22,48],"Current":[23],"SVCT":[24],"reconstruction":[25,150],"networks":[26],"cannot":[27],"effectively":[28],"utilize":[29],"the":[30,42,67,79,172,218],"correlation":[31],"images":[34,139],"from":[35],"different":[36],"energies,":[37],"linear":[39],"interpolation":[40],"in":[41,63,77,223],"domain":[44],"brings":[45],"more":[46],"secondary":[47,121],"A":[49],"dual-domain":[50],"approach":[51],"involving":[52],"data":[53],"complementation":[54],"correction":[56],"proposed":[58,177],"as":[59],"a":[60,88,104,109,129,134,141,165,206],"potential":[61,219],"solution":[62],"this":[64],"work.ApproachWe":[65],"introduce":[66],"MHSG-Model":[68,153,204],"for":[69,74,137,144],"sparse-view":[70],"spectral":[71,168,227],"CT,":[72],"designed":[73],"integrated":[75,107],"processing":[76],"both":[78],"image":[82],"domains.":[83],"This":[84],"model":[85,106],"consists":[86],"Projection":[89],"Domain":[90,97],"Generative":[91],"Model":[92,113],"(PDGM)":[93],"Image":[96],"Correction":[98],"Module":[99],"(IDCM).":[100],"The":[101,126,176,199],"PDGM":[102],"employs":[103],"generative":[105],"with":[108,183],"selective":[110],"State":[111],"Space":[112],"(SSM)":[114],"recover":[116],"data,":[119],"reducing":[120],"artifacts":[122],"computational":[124],"complexity.":[125],"IDCM":[127],"utilizes":[128],"novel":[130],"cross-attention":[131],"mechanism,":[132],"incorporating":[133],"multi-scale":[135],"attention":[136,143],"high-energy":[138],"high-frequency":[142],"low-energy":[145],"images,":[146],"further":[148],"enhance":[149],"quality.Main":[151],"resultsThe":[152],"was":[154],"launched":[155],"validated":[157],"on":[158,209],"abdominal":[160],"slice":[161],"simulation":[162],"dataset":[163,170],"sparse":[166,225],"view":[167,226],"CT":[169,228],"AAPM":[173],"DL":[174],"Challenge.":[175],"network":[178],"achieved":[179],"superior":[180],"performance":[181,208],"metrics,":[182],"RMSE":[185],"0.0111,":[187],"MAE":[188],"15.91,":[190],"SSIM":[191],"0.9674,":[193],"PSNR":[195],"39.73":[197],"dB.":[198],"experimental":[200],"results":[201],"demonstrate":[202],"that":[203],"has":[205],"good":[207],"preserving":[210],"detail":[211],"removing":[214],"artifacts,":[215],"which":[216],"show":[217],"be":[221],"applied":[222],"clinical":[224],"reconstruction.":[229]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2026-08-27T00:00:00"}
