{"id":"https://openalex.org/W7161973529","doi":"https://doi.org/10.48550/arxiv.2605.20687","title":"Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI","display_name":"Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7161973529","doi":"https://doi.org/10.48550/arxiv.2605.20687"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.20687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20687","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.20687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076735410","display_name":"Mahmut Yurt","orcid":"https://orcid.org/0000-0003-3280-4217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yurt, Mahmut","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035548631","display_name":"Kanghyun Ryu","orcid":"https://orcid.org/0000-0002-6075-5590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryu, Kanghyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136636590","display_name":"Zhitao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhitao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136684683","display_name":"Xucheng Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xucheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068443018","display_name":"Xianglun Mao","orcid":"https://orcid.org/0000-0002-2745-7444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Xianglun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136637956","display_name":"Martin Janich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janich, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136688772","display_name":"Marcus Alley","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alley, Marcus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136709650","display_name":"Kawin Setsompop","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Setsompop, Kawin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136621078","display_name":"John Pauly","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pauly, John","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136659741","display_name":"Shreyas Vasanawala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasanawala, Shreyas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136659118","display_name":"Ali Syed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Syed, Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.5669000148773193,"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":0.5669000148773193,"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":0.09369999915361404,"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"}},{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.05900000035762787,"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/streak","display_name":"Streak","score":0.810699999332428},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4593999981880188},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44530001282691956},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4318000078201294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35089999437332153},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.32850000262260437},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.31279999017715454},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.30809998512268066},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.30399999022483826}],"concepts":[{"id":"https://openalex.org/C65185188","wikidata":"https://www.wikidata.org/wiki/Q107775","display_name":"Streak","level":2,"score":0.810699999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628000140190125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6202999949455261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5586000084877014},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4593999981880188},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3052000105381012},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.30399999022483826},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2776805002","wikidata":"https://www.wikidata.org/wiki/Q614984","display_name":"Fluoroscopy","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.2865000069141388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.27970001101493835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26759999990463257},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.20687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20687","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.20687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20687","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conventional":[0],"cardiac":[1,84,91,108],"cine":[2,123,207],"MRI":[3],"relies":[4],"on":[5,161,179],"breath-hold":[6],"Cartesian":[7],"acquisitions,":[8],"which":[9,105],"are":[10],"vulnerable":[11],"to":[12,50,89],"motion":[13],"artifacts":[14],"and":[15,24,86,93,170,172,193],"can":[16,37],"be":[17],"uncomfortable":[18],"or":[19],"infeasible,":[20],"particularly":[21],"for":[22],"pediatric":[23],"other":[25],"noncompliant":[26],"patients":[27],"who":[28],"cannot":[29],"reliably":[30],"hold":[31],"their":[32],"breath.":[33],"Free-breathing":[34],"radial":[35,80],"acquisitions":[36],"alleviate":[38],"these":[39,56],"limitations,":[40,57],"but":[41],"robust":[42],"reconstruction":[43],"at":[44],"high":[45],"acceleration":[46],"remains":[47],"challenging":[48],"due":[49],"prominent":[51],"streak":[52,118],"artifacts.":[53,119],"To":[54],"address":[55],"we":[58],"propose":[59],"Cine-DL,":[60],"a":[61,133,149,197],"clinically":[62],"oriented":[63],"framework":[64],"that":[65,114,131,153,187],"couples":[66],"targeted":[67],"k-space":[68],"preprocessing":[69],"with":[70,127,137],"fast,":[71],"model-based":[72],"deep":[73],"reconstruction.":[74],"In":[75],"this":[76],"pipeline,":[77],"raw":[78],"free-breathing":[79,162,206],"data":[81,139,164],"undergo":[82],"retrospective":[83],"binning":[85],"respiratory":[87],"gating":[88],"resolve":[90],"phases":[92],"discard":[94],"motion-corrupted":[95],"spokes.":[96],"We":[97,146,158],"then":[98],"introduce":[99],"Streak":[100],"Optimized":[101],"Coil":[102],"Compression":[103],"(SOC),":[104],"explicitly":[106],"preserves":[107],"signals":[109],"while":[110],"suppressing":[111],"peripheral":[112],"interference":[113],"typically":[115],"drives":[116],"the":[117],"The":[120],"resulting":[121],"2D+t":[122],"series":[124],"is":[125],"reconstructed":[126],"an":[128],"unrolled":[129],"network":[130],"alternates":[132],"ResNet":[134],"proximal":[135],"operator":[136],"physics-based":[138],"consistency":[140],"updates":[141],"solved":[142],"via":[143,176],"conjugate":[144],"gradient.":[145],"further":[147],"employ":[148],"memory-efficient":[150],"training":[151],"strategy":[152],"reduces":[154],"peak":[155],"memory":[156],"usage.":[157],"evaluate":[159],"Cine-DL":[160,188],"volunteer":[163],"against":[165],"established":[166],"baselines":[167],"(k-t":[168],"SENSE":[169],"iGRASP)":[171],"demonstrate":[173],"clinical":[174,203],"translation":[175],"hospital":[177],"deployment":[178],"newly":[180],"acquired":[181],"patient":[182],"data.":[183],"Our":[184],"experiments":[185],"show":[186],"consistently":[189],"improves":[190],"quantitative":[191],"metrics":[192],"visual":[194],"fidelity,":[195],"supporting":[196],"practical":[198],"route":[199],"toward":[200],"routine,":[201],"time-sensitive":[202],"adoption":[204],"of":[205],"MRI.":[208]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-22T00:00:00"}