{"id":"https://openalex.org/W4283787340","doi":"https://doi.org/10.1117/12.2611783","title":"Deformable registration of MRI to intraoperative cone-beam CT of the brain using a joint synthesis and registration network","display_name":"Deformable registration of MRI to intraoperative cone-beam CT of the brain using a joint synthesis and registration network","publication_year":2022,"publication_date":"2022-04-04","ids":{"openalex":"https://openalex.org/W4283787340","doi":"https://doi.org/10.1117/12.2611783"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611783","doi":"https://doi.org/10.1117/12.2611783","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611783","pdf_url":null,"source":{"id":"https://openalex.org/S7407086293","display_name":"SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"volume":null,"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/A5009793323","display_name":"Runze Han","orcid":"https://orcid.org/0000-0002-3618-5997","observed_orcids":["https://orcid.org/0000-0002-3618-5997"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Runze Han","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018714925","display_name":"Craig K. Jones","orcid":"https://orcid.org/0000-0002-0629-3006","observed_orcids":["https://orcid.org/0000-0002-0629-3006"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig K. Jones","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058183994","display_name":"Pengwei Wu","orcid":"https://orcid.org/0000-0002-2412-3043","observed_orcids":["https://orcid.org/0000-0002-2412-3043"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengwei Wu","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029253617","display_name":"Prasad Vagdargi","orcid":"https://orcid.org/0000-0002-2740-6604","observed_orcids":["https://orcid.org/0000-0002-2740-6604"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prasad Vagdargi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712575","display_name":"Xiaoxuan Zhang","orcid":"https://orcid.org/0000-0003-0365-6833","observed_orcids":["https://orcid.org/0000-0003-0365-6833"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Zhang","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089623752","display_name":"Ali Uneri","orcid":"https://orcid.org/0000-0003-3419-1805","observed_orcids":["https://orcid.org/0000-0003-3419-1805"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Uneri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626273","display_name":"Junghoon Lee","orcid":"https://orcid.org/0000-0002-3004-8625","observed_orcids":["https://orcid.org/0000-0002-3004-8625"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junghoon Lee","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103135335","display_name":"M Luciano","orcid":"https://orcid.org/0000-0001-9816-8132","observed_orcids":["https://orcid.org/0000-0001-9816-8132"]},"institutions":[{"id":"https://openalex.org/I4210150714","display_name":"Johns Hopkins Hospital","ror":"https://ror.org/05cb1k848","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436","https://openalex.org/I4210150714"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Luciano","raw_affiliation_strings":["The Johns Hopkins Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Johns Hopkins Hospital (United States)","institution_ids":["https://openalex.org/I4210150714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043335263","display_name":"William Stanley Anderson","orcid":"https://orcid.org/0000-0003-0958-050X","observed_orcids":["https://orcid.org/0000-0003-0958-050X"]},"institutions":[{"id":"https://openalex.org/I4210150714","display_name":"Johns Hopkins Hospital","ror":"https://ror.org/05cb1k848","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436","https://openalex.org/I4210150714"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William S. Anderson","raw_affiliation_strings":["The Johns Hopkins Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Johns Hopkins Hospital (United States)","institution_ids":["https://openalex.org/I4210150714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081877123","display_name":"Patrick A. Helm","orcid":"https://orcid.org/0009-0009-3734-4951","observed_orcids":["https://orcid.org/0009-0009-3734-4951"]},"institutions":[{"id":"https://openalex.org/I4210091810","display_name":"Medtronic (United States)","ror":"https://ror.org/00grd1h17","country_code":"US","type":"company","lineage":["https://openalex.org/I4210091810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick A. Helm","raw_affiliation_strings":["Medtronic, Inc. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medtronic, Inc. (United States)","institution_ids":["https://openalex.org/I4210091810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068070550","display_name":"Jeffrey H. Siewerdsen","orcid":"https://orcid.org/0000-0001-6644-1317","observed_orcids":["https://orcid.org/0000-0001-6644-1317"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I4210150714","display_name":"Johns Hopkins Hospital","ror":"https://ror.org/05cb1k848","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436","https://openalex.org/I4210150714"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey H. Siewerdsen","raw_affiliation_strings":["Johns Hopkins Univ. (United States)","The Johns Hopkins Hospital (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"The Johns Hopkins Hospital (United States)","institution_ids":["https://openalex.org/I4210150714"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5825853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.0003000000142492354,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":9.999999747378752e-05,"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/deformable-image-registration","display_name":"deformable image registration","score":0.9190000295639038},{"id":"https://openalex.org/keywords/intraoperative-cone-beam-ct","display_name":"intraoperative cone-beam CT","score":0.8799999952316284},{"id":"https://openalex.org/keywords/deep-learning-registration","display_name":"deep learning registration","score":0.5979999899864197},{"id":"https://openalex.org/keywords/synthetic-ct","display_name":"synthetic CT","score":0.5299999713897705},{"id":"https://openalex.org/keywords/intracranial-surgery","display_name":"intracranial surgery","score":0.8740000128746033},{"id":"https://openalex.org/keywords/intraoperative-guidance","display_name":"intraoperative guidance","score":0.753000020980835},{"id":"https://openalex.org/keywords/brain-deformation","display_name":"brain deformation","score":0.4860000014305115},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.6809999942779541},{"id":"https://openalex.org/keywords/diffeomorphic-image-registration","display_name":"diffeomorphic registration","score":0.9020000100135803}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7507722973823547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744109392166138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6515679359436035},{"id":"https://openalex.org/C3018399558","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam ct","level":3,"score":0.5703694224357605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5112991333007812},{"id":"https://openalex.org/C2779813781","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam computed tomography","level":3,"score":0.44563013315200806},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41123855113983154},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3380807638168335},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2467736303806305},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2064571976661682},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19317907094955444},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611783","doi":"https://doi.org/10.1117/12.2611783","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611783","pdf_url":null,"source":{"id":"https://openalex.org/S7407086293","display_name":"SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5683000087738037,"display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1480945180","https://openalex.org/W1901129140","https://openalex.org/W1929564070","https://openalex.org/W1970928383","https://openalex.org/W1982132176","https://openalex.org/W2096577216","https://openalex.org/W2552465644","https://openalex.org/W2767434619","https://openalex.org/W2895162016","https://openalex.org/W2903950353","https://openalex.org/W2922479016","https://openalex.org/W3041450691","https://openalex.org/W3129487091","https://openalex.org/W3194782002","https://openalex.org/W3210898535","https://openalex.org/W4200409436","https://openalex.org/W4249950997"],"related_works":["https://openalex.org/W4282939877","https://openalex.org/W3129487091","https://openalex.org/W3210898535","https://openalex.org/W3203789478","https://openalex.org/W3206476810","https://openalex.org/W2995218420","https://openalex.org/W4393319192","https://openalex.org/W2409726467","https://openalex.org/W7161814080","https://openalex.org/W2155223126"],"abstract_inverted_index":{"Purpose:":[0],"Neuro-endoscopic":[1],"surgery":[2],"requires":[3],"accurate":[4],"targeting":[5],"of":[6,12,112,120,150,158,168,197,212,225],"deep-brain":[7,13],"structures":[8],"in":[9,79,128,134,173,185],"the":[10,44,92,181],"presence":[11],"deformations":[14],"(up":[15],"to":[16,25,94,98,136,180,215,222],"10":[17],"mm).":[18],"We":[19],"report":[20],"a":[21,31,73,110,117,129,174,194],"deep":[22],"learning-based":[23],"method":[24,125,142,147],"solve":[26],"deformable":[27,210],"MR-to-CBCT":[28],"registration":[29,35,74,78,141,165,211],"using":[30],"joint":[32],"synthesis":[33,65,100],"and":[34,46,54,69,72,101,107,132,163,192,218],"(JSR)":[36],"network.":[37],"Method:":[38],"The":[39,85,103,123,145,203],"JSR":[40,124,146,189,204],"network":[41],"first":[42],"encodes":[43],"MR":[45,53],"CBCT":[47,55,217],"images":[48],"into":[49],"latent":[50],"variables":[51],"via":[52],"encoders,":[56],"which":[57],"are":[58,88],"then":[59],"decoded":[60],"by":[61],"two":[62,86],"branches:":[63],"image":[64],"branches":[66,87],"for":[67,76],"MR-CT":[68],"CBCT-CT":[70],"synthesis;":[71],"branch":[75],"intra-modality":[77],"an":[80,137],"intermediate":[81],"(synthetic)":[82],"CT":[83],"domain.":[84],"jointly":[89],"optimized,":[90],"encouraging":[91],"encoders":[93],"extract":[95],"features":[96],"pertinent":[97],"both":[99],"registration.":[102],"algorithm":[104,205],"was":[105,126],"trained":[106,127],"tested":[108],"on":[109],"dataset":[111],"420":[113],"paired":[114],"volumes":[115],"presenting":[116],"wide":[118],"range":[119],"simulated":[121],"deformations.":[122],"semi-supervised":[130],"manner":[131],"evaluated":[133],"comparison":[135],"alternative,":[138],"state-of-the-art,":[139],"inter-modality":[140],"(VoxelMorph).":[143],"Results:":[144],"achieved":[148],"Dice":[149],"0.67":[151],"\u00b1":[152,160,170,199],"0.11,":[153],"surface":[154],"distance":[155],"error":[156,166],"(SD)":[157],"0.47":[159],"0.26":[161],"mm,":[162],"target":[164],"(TRE)":[167],"2.23":[169],"0.80":[171],"mm":[172],"simulation":[175],"study":[176],"\u2013":[177],"each":[178],"superior":[179],"alternative":[182],"methods":[183],"considered":[184],"this":[186],"work.":[187],"Moreover,":[188],"maintained":[190],"diffeomorphism":[191],"exhibited":[193],"fast":[195],"runtime":[196],"2.55":[198],"0.03":[200],"s.":[201],"Conclusion:":[202],"demonstrates":[206],"accurate,":[207],"near":[208],"real-time":[209],"preoperative":[213],"MRI":[214],"intraoperative":[216,223],"is":[219],"potentially":[220],"suitable":[221],"guidance":[224],"intracranial":[226],"neurosurgery.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-07-04T00:00:00"}