{"id":"https://openalex.org/W3109288119","doi":"https://doi.org/10.1109/tci.2020.3039385","title":"An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms","display_name":"An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109288119","doi":"https://doi.org/10.1109/tci.2020.3039385","mag":"3109288119"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2020.3039385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2020.3039385","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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/A5056744049","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-9546-5710"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9546-5710","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065367615","display_name":"Xiang\u2010Gen Xia","orcid":"https://orcid.org/0000-0002-5599-7683"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang-Gen Xia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA"],"raw_orcid":"https://orcid.org/0000-0002-5599-7683","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chuanjiang He","orcid":"https://orcid.org/0000-0002-6344-1992"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanjiang He","raw_affiliation_strings":["College of Mathematics and Statistics, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6344-1992","affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048443088","display_name":"Zemin Ren","orcid":"https://orcid.org/0000-0001-9254-1282"},"institutions":[{"id":"https://openalex.org/I168337820","display_name":"Chongqing University of Science and Technology","ror":"https://ror.org/03n3v6d52","country_code":"CN","type":"education","lineage":["https://openalex.org/I168337820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zemin Ren","raw_affiliation_strings":["College of Mathematics and Physics, Chongqing University of Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Chongqing University of Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I168337820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066196985","display_name":"Jian L\u00fc","orcid":"https://orcid.org/0000-0003-4599-7281"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lu","raw_affiliation_strings":["Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1248-1214","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001212991","display_name":"Baiying Lei","orcid":"https://orcid.org/0000-0002-3087-2550"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3087-2550","affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056744049"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210145292"],"apc_list":null,"apc_paid":null,"fwci":2.2309,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.90613104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"1548","last_page":"1560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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":1.0,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9968000054359436,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7116881012916565},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6366598010063171},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.62094646692276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165823936462402},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5410434603691101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5395632386207581},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5118538737297058},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.469646155834198},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42785751819610596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3908163607120514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37398433685302734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22512835264205933},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19946128129959106}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7116881012916565},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6366598010063171},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.62094646692276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165823936462402},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5410434603691101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5395632386207581},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5118538737297058},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.469646155834198},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42785751819610596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3908163607120514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37398433685302734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22512835264205933},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19946128129959106},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2020.3039385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2020.3039385","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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/G1795570172","display_name":null,"funder_award_id":"2020B1515310008","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G2273797495","display_name":null,"funder_award_id":"2018M64081","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2337051067","display_name":null,"funder_award_id":"12001381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2793562968","display_name":null,"funder_award_id":"61801305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3364578393","display_name":null,"funder_award_id":"61871274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8017764705","display_name":null,"funder_award_id":"61972265","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1972150100","https://openalex.org/W2002611249","https://openalex.org/W2004703305","https://openalex.org/W2007522854","https://openalex.org/W2015587558","https://openalex.org/W2035199208","https://openalex.org/W2039708501","https://openalex.org/W2041114617","https://openalex.org/W2042096957","https://openalex.org/W2044774090","https://openalex.org/W2054393756","https://openalex.org/W2058583833","https://openalex.org/W2063061288","https://openalex.org/W2085899807","https://openalex.org/W2094366314","https://openalex.org/W2131044526","https://openalex.org/W2142808775","https://openalex.org/W2142884793","https://openalex.org/W2157812230","https://openalex.org/W2160547390","https://openalex.org/W2194775991","https://openalex.org/W2282734976","https://openalex.org/W2469946482","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2611467245","https://openalex.org/W2791871435","https://openalex.org/W2793419304","https://openalex.org/W2795777276","https://openalex.org/W2796256498","https://openalex.org/W2805995089","https://openalex.org/W2924878362","https://openalex.org/W2936895602","https://openalex.org/W2946049212","https://openalex.org/W2963891322","https://openalex.org/W2964121744","https://openalex.org/W2981735661","https://openalex.org/W3003776066","https://openalex.org/W3022143182","https://openalex.org/W3022200535","https://openalex.org/W3105465046","https://openalex.org/W3105751747","https://openalex.org/W4299416517","https://openalex.org/W6631190155","https://openalex.org/W6650983816","https://openalex.org/W6671975367"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W4375867731","https://openalex.org/W3196421258","https://openalex.org/W4387301579","https://openalex.org/W2611989081","https://openalex.org/W2763956190","https://openalex.org/W3008587939"],"abstract_inverted_index":{"Recently,":[0],"deep-learning":[1],"based":[2],"methods":[3,17],"have":[4],"been":[5],"widely":[6],"used":[7,67],"for":[8,44,200],"computed":[9],"tomography":[10],"(CT)":[11],"reconstruction.":[12],"However,":[13],"most":[14],"of":[15,94,154,156],"these":[16],"need":[18],"extra":[19],"steps":[20],"to":[21,53,68,76,80,86,142,146],"convert":[22,143],"the":[23,63,72,74,78,84,88,98,104,109,120,131,144,152,168,181,194,201],"sinogrmas":[24],"into":[25,134],"CT":[26,45,54,81,89,147,171,177,203],"images":[27,82,148,178],"and":[28,70,83,119,151,170,173,208],"so":[29],"their":[30],"networks":[31],"are":[32,184],"not":[33],"end-to-end.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"an":[40],"end-to-end":[41],"deep":[42],"network":[43,57,96,158,162,192],"image":[46],"reconstruction,":[47],"which":[48],"directly":[49],"maps":[50],"sparse":[51,126,202],"sinogramss":[52],"images.":[55,90],"Our":[56,161],"has":[58],"three":[59],"cascaded":[60],"blocks,":[61],"where":[62,108],"first":[64],"block":[65,93],"is":[66,112,122,149,159,163],"denoise":[69,87],"interpolate":[71],"sinograms,":[73],"second":[75,92],"map":[77],"sinograms":[79,145,169,183],"last":[85],"The":[91],"our":[95,135,157,191],"implements":[97],"filter":[99,110],"backprojection":[100,121],"(FBP)":[101],"algorithm":[102,133],"or":[103],"Feldkamp-Davis-Kress":[105],"(FDK)":[106],"algorithm,":[107],"step":[111],"implemented":[113,123],"by":[114,124],"a":[115,125,138],"one-dimensional":[116],"convolution":[117],"layer":[118,141],"matrix":[127],"multiplication.":[128],"By":[129],"incorporating":[130],"FBP/FDK":[132],"network,":[136],"training":[137],"fully":[139],"connected":[140],"avoided":[150],"number":[153],"weights":[155],"decreased.":[160],"trained":[164],"with":[165],"two":[166],"labels,":[167],"images,":[172],"can":[174],"reconstruct":[175],"good":[176],"even":[179],"if":[180],"input":[182],"very":[185],"sparse.":[186],"Experimental":[187],"results":[188],"show":[189],"that":[190],"outperforms":[193],"state-of-the-art":[195],"approaches":[196],"on":[197],"test":[198],"datasets":[199],"reconstruction":[204],"under":[205],"fan":[206],"beam":[207,211],"circular":[209],"cone":[210],"scanning":[212],"geometry.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}