{"id":"https://openalex.org/W4386362565","doi":"https://doi.org/10.1109/isbi53787.2023.10230569","title":"Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field","display_name":"Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362565","doi":"https://doi.org/10.1109/isbi53787.2023.10230569"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230569","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","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/A5048171551","display_name":"Qing Wu","orcid":"https://orcid.org/0000-0001-9320-0332"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Wu","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China","University of Chinese Academy of Sciences, Beijing, China","School of Information Science and Technology, ShanghaiTech University, Shanghai, China","Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353730","display_name":"Xin Li","orcid":"https://orcid.org/0000-0001-7484-7931"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China","School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058095576","display_name":"Hongjiang Wei","orcid":"https://orcid.org/0000-0002-9060-4152"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjiang Wei","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China","School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654429","display_name":"Yuyao Zhang","orcid":"https://orcid.org/0000-0001-6706-4867"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyao Zhang","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China","School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048171551"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I30809798","https://openalex.org/I4210111959","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.7097,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72286662,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9984999895095825,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940000176429749,"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":0.7832518815994263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6762896776199341},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.645793616771698},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.6143078804016113},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5677289962768555},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5615196228027344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5316211581230164},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43448615074157715},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.4282667934894562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3316803574562073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2263454794883728}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7832518815994263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762896776199341},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.645793616771698},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.6143078804016113},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5677289962768555},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5615196228027344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5316211581230164},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43448615074157715},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.4282667934894562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3316803574562073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2263454794883728}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230569","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2015159529","https://openalex.org/W2037521346","https://openalex.org/W2065545788","https://openalex.org/W2084664425","https://openalex.org/W2133665775","https://openalex.org/W2574952845","https://openalex.org/W2796256498","https://openalex.org/W2914483840","https://openalex.org/W2949582403","https://openalex.org/W2962785568","https://openalex.org/W3036843665","https://openalex.org/W3086619053","https://openalex.org/W3094876082","https://openalex.org/W3109585842","https://openalex.org/W3130983693","https://openalex.org/W3153518999","https://openalex.org/W3162135739","https://openalex.org/W3195875706","https://openalex.org/W3198632145","https://openalex.org/W4221151978","https://openalex.org/W4296057677","https://openalex.org/W4379117105","https://openalex.org/W6746466744","https://openalex.org/W6755308174","https://openalex.org/W6780179280"],"related_works":["https://openalex.org/W4231936369","https://openalex.org/W4286646204","https://openalex.org/W2079352884","https://openalex.org/W1978569796","https://openalex.org/W2004988775","https://openalex.org/W2058759268","https://openalex.org/W2169823899","https://openalex.org/W2770661158","https://openalex.org/W2805267542","https://openalex.org/W2076226357"],"abstract_inverted_index":{"Inspired":[0],"by":[1,55,69,83,159],"the":[2,34,53,59,64,123,148,153,154,170],"recent":[3],"Neural":[4,10],"Radiance":[5],"Field":[6],"(NeRF)":[7],"work,":[8,114],"Implicit":[9],"Representation":[11],"(INR)":[12],"has":[13],"widely":[14],"received":[15],"attention":[16],"in":[17,147],"Sparse-View":[18],"Computed":[19],"Tomography":[20],"(SVCT)":[21],"reconstruction":[22,205],"tasks":[23,206],"as":[24,38],"a":[25,39,47,117,140,187],"self-supervised":[26],"deep":[27],"learning":[28],"framework.":[29],"INR-based":[30,79,201],"SVCT":[31,80,105,204],"methods":[32,81,97,202],"represent":[33],"desired":[35],"CT":[36,72,92,171,179,189],"image":[37,66,73,93,125,172,180,190],"continuous":[40,65],"function":[41,54,67],"of":[42,211],"spatial":[43],"coordinates":[44],"and":[45,169],"train":[46],"Multi-Layer":[48],"Perceptron":[49],"(MLP)":[50],"to":[51,121,151],"learn":[52],"minimizing":[56],"loss":[57],"on":[58,186],"SV":[60,129],"sinogram.":[61],"Benefiting":[62],"from":[63,99,126],"provided":[68],"INR,":[70],"high-quality":[71],"can":[74],"be":[75],"reconstructed.":[76],"However,":[77],"existing":[78],"suppose":[82],"default":[84],"that":[85],"there":[86],"is":[87],"no":[88],"relative":[89],"motion":[90,177],"during":[91],"acquisition.":[94],"Therefore,":[95],"such":[96],"suffer":[98],"severe":[100],"performance":[101],"drops":[102],"for":[103,143,174,203],"real":[104],"imaging":[106],"with":[107,207],"even":[108],"minor":[109],"subject":[110,160],"motion.":[111,162,213],"In":[112],"this":[113],"we":[115,138,164],"propose":[116],"self-calibrating":[118],"neural":[119],"field":[120],"recover":[122],"artifacts-free":[124],"rigid":[127,161,176,212],"motion-corrupted":[128],"sinogram":[130,149],"without":[131],"using":[132],"any":[133],"external":[134],"training":[135],"data.":[136],"Specifically,":[137],"introduce":[139],"transform":[141],"matrix":[142],"each":[144],"projection":[145,156],"pose":[146],"respectively,":[150],"present":[152],"inaccurate":[155],"poses":[157],"caused":[158],"Then":[163],"optimize":[165],"these":[166],"transformation":[167],"matrices":[168],"jointly":[173],"achieving":[175],"corrected":[178],"reconstruction.":[181],"We":[182],"conduct":[183],"numerical":[184],"experiments":[185],"public":[188],"dataset.":[191],"The":[192],"results":[193],"indicate":[194],"our":[195],"model":[196],"significantly":[197],"outperforms":[198],"two":[199],"representative":[200],"four":[208],"different":[209],"levels":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
