{"id":"https://openalex.org/W4401753175","doi":"https://doi.org/10.1109/isbi56570.2024.10635315","title":"Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach","display_name":"Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401753175","doi":"https://doi.org/10.1109/isbi56570.2024.10635315"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067228003","display_name":"Zhennong Chen","orcid":"https://orcid.org/0000-0001-6133-8716"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhennong Chen","raw_affiliation_strings":["Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646840","display_name":"Hui Ren","orcid":"https://orcid.org/0000-0003-0710-231X"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Ren","raw_affiliation_strings":["Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058429770","display_name":"Quanzheng Li","orcid":"https://orcid.org/0000-0002-9651-5820"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzheng Li","raw_affiliation_strings":["Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331032","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-0699-1904"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital and Harvard Medical School,Center for Advanced Medical Computing and Analysis,Boston,02114","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9966999888420105,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9966999888420105,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9918000102043152,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9413999915122986,"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/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5859042406082153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552277565002441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170174837112427},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5098875761032104},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48777085542678833},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.47075560688972473},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4521976113319397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4492298364639282},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42530521750450134},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.32460978627204895},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3067413568496704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1660768985748291},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10711219906806946},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08237481117248535}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5859042406082153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552277565002441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170174837112427},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5098875761032104},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48777085542678833},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.47075560688972473},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4521976113319397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4492298364639282},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42530521750450134},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.32460978627204895},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3067413568496704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1660768985748291},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10711219906806946},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08237481117248535},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2793222933","https://openalex.org/W2886916106","https://openalex.org/W2947043333","https://openalex.org/W2960424732","https://openalex.org/W2963372104","https://openalex.org/W3006384348","https://openalex.org/W3134287839","https://openalex.org/W3164400942","https://openalex.org/W3188507464","https://openalex.org/W3204542731","https://openalex.org/W4205182665","https://openalex.org/W4205473180","https://openalex.org/W4283013012","https://openalex.org/W6799398525","https://openalex.org/W7014945598"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2611989081","https://openalex.org/W2943960151","https://openalex.org/W3004000015","https://openalex.org/W2559771220","https://openalex.org/W4288598071","https://openalex.org/W4401576076","https://openalex.org/W4387300017"],"abstract_inverted_index":{"Accurate":[0],"reconstruction":[1,40,117],"of":[2,6,20,34,41,58,143],"high-resolution":[3,140],"3D":[4,42,141],"volumes":[5,43,142],"the":[7,45,56,69,73,156,163],"heart":[8,21],"in":[9,48,105,149,155],"cardiac":[10,63],"magnetic":[11],"resonance":[12],"(CMR)":[13],"images":[14],"is":[15,28,51],"important":[16],"for":[17],"accurate":[18,139],"assessments":[19],"anatomy":[22],"and":[23,64,67,82,103,133,136,147,154],"function;":[24],"however,":[25],"CMR":[26],"data":[27,70],"usually":[29],"acquired":[30],"as":[31],"a":[32,106,113,124,151],"stack":[33],"short-axis":[35],"(SAX)":[36],"2D":[37,49],"slices.":[38,78],"The":[39],"from":[44,72],"segmentation":[46],"contours":[47],"slices":[50],"challenging":[52],"due":[53],"to":[54,86],"(1)":[55],"presence":[57],"inter-slice":[59],"misalignment":[60],"caused":[61],"by":[62],"respiratory":[65],"motion":[66,80,101,131],"(2)":[68],"sparsity":[71],"large":[74],"gaps":[75],"between":[76],"SAX":[77],"Therefore,":[79],"correction":[81,102,132],"super-resolution":[83,104,134],"are":[84],"required":[85],"address":[87],"these":[88],"two":[89],"challenges":[90],"respectively.":[91],"While":[92],"existing":[93,164],"deep":[94],"learning":[95],"(DL)":[96],"approaches":[97],"have":[98],"tried":[99],"performing":[100],"single-stage":[107,165],"model,":[108],"we":[109,122],"found":[110],"that":[111,129],"such":[112],"scheme":[114],"may":[115],"compromise":[116],"accuracy.":[118],"In":[119],"this":[120],"study,":[121],"propose":[123],"novel":[125],"three-stage":[126],"DL":[127],"approach":[128],"performs":[130],"sequentially":[135],"reconstructs":[137],"more":[138],"left":[144],"ventricle":[145],"blood-pool":[146],"myocardium":[148],"both":[150],"simulation":[152],"study":[153],"real-world":[157],"Sunnybrook":[158],"Cardiac":[159],"Dataset":[160],"compared":[161],"with":[162],"approaches.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
