{"id":"https://openalex.org/W3002207228","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965916","title":"4D-CBCT Reconstruction via Motion Compensataion Learning Induced Sparse Tensor Constraint","display_name":"4D-CBCT Reconstruction via Motion Compensataion Learning Induced Sparse Tensor Constraint","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002207228","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965916","mag":"3002207228"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-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/A5100327076","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0003-1884-671X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Liu","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education,Nanjing,China","Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033889237","display_name":"Yanqin Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqin Kang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education,Nanjing,China","Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"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/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianlin Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Nanjing,China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Nanjing,China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100327076"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.3387,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65226074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.67545485496521},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.6381022334098816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6034631729125977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5878839492797852},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5824952125549316},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4613184630870819},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.43136170506477356},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08101433515548706}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67545485496521},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6381022334098816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6034631729125977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5878839492797852},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5824952125549316},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4613184630870819},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.43136170506477356},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08101433515548706},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1574714376","https://openalex.org/W2061354873","https://openalex.org/W2069212995","https://openalex.org/W2081314646","https://openalex.org/W2098092211","https://openalex.org/W2112095335","https://openalex.org/W2133665775","https://openalex.org/W2157812230","https://openalex.org/W2164278908","https://openalex.org/W2195531168","https://openalex.org/W2267203088","https://openalex.org/W2420597540","https://openalex.org/W2567331605","https://openalex.org/W2588570943","https://openalex.org/W2736465620","https://openalex.org/W2773042504","https://openalex.org/W2891590469","https://openalex.org/W2920911464","https://openalex.org/W2938296211","https://openalex.org/W4292363360","https://openalex.org/W6634540942"],"related_works":["https://openalex.org/W2417440389","https://openalex.org/W4244157427","https://openalex.org/W2734382758","https://openalex.org/W4385556839","https://openalex.org/W4378746257","https://openalex.org/W2109481748","https://openalex.org/W2381719890","https://openalex.org/W2948918209","https://openalex.org/W2040853802","https://openalex.org/W2144778520"],"abstract_inverted_index":{"The":[0,108],"challenge":[1],"in":[2,15,60],"4D-CBCT":[3,38,61,76,91,146],"reconstruction":[4,17,50],"is":[5,93,114],"the":[6,27,34,57,75,89,101,136],"lacked":[7],"of":[8,20,37,99,111,145],"projections":[9],"at":[10,32],"each":[11],"phase,":[12],"which":[13,53,100],"result":[14],"a":[16,42,96,117,142],"image":[18,81],"full":[19],"streak":[21],"artifacts":[22],"and":[23,130],"motion":[24,43,72,82],"blurring":[25],"with":[26],"conventional":[28],"analytical":[29],"algorithms.":[30],"Aiming":[31],"improving":[33],"overall":[35],"quality":[36],"images,":[39],"we":[40,69],"propose":[41],"compensation":[44,73,83],"learning":[45],"induced":[46],"sparse":[47,102],"tensor":[48,103],"constraint":[49,104],"(MCL-STCR)":[51],"method":[52,138],"tries":[54],"to":[55,123,141],"explore":[56],"high":[58],"correlation":[59],"images":[62],"for":[63],"different":[64],"phases.":[65],"In":[66],"this":[67],"method,":[68],"additionally":[70],"conduct":[71],"on":[74],"volume":[77,92],"by":[78,116],"using":[79],"trained":[80],"convolutional":[84],"neural":[85],"network":[86],"(CNN).":[87],"Then":[88],"compensated":[90],"viewed":[94],"as":[95],"pseudostatic":[97],"sequence,":[98],"was":[105],"imposed":[106],"on.":[107],"cost":[109],"function":[110],"proposed":[112,137],"MCL-STCR":[113],"optimized":[115],"variable":[118],"splitting":[119],"algorithm.":[120],"Its":[121],"comparison":[122],"other":[124],"methods":[125],"through":[126],"simulated":[127],"dynamic":[128],"phantom":[129],"lung":[131],"data":[132],"experiments":[133],"demonstrated":[134],"that":[135],"can":[139],"lead":[140],"promising":[143],"improvement":[144],"reconstruction.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
