{"id":"https://openalex.org/W7165516930","doi":"https://doi.org/10.1109/tmi.2026.3705847","title":"MotionDPS: Motion-Compensated 3-D Brain MRI Reconstruction","display_name":"MotionDPS: Motion-Compensated 3-D Brain MRI Reconstruction","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165516930","doi":"https://doi.org/10.1109/tmi.2026.3705847","pmid":"https://pubmed.ncbi.nlm.nih.gov/42329942"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2026.3705847","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3705847","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmi.2026.3705847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045797059","display_name":"Antonio Ortiz-Gonzalez","orcid":"https://orcid.org/0000-0002-7964-2617"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Antonio Ortiz-Gonzalez","raw_affiliation_strings":["University of Bonn"],"raw_orcid":"https://orcid.org/0000-0002-7964-2617","affiliations":[{"raw_affiliation_string":"University of Bonn","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040257848","display_name":"Erich Kobler","orcid":"https://orcid.org/0000-0001-5167-4804"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Erich Kobler","raw_affiliation_strings":["Clinical Research Institute Medical AI, Johannes Kepler University Linz"],"raw_orcid":"https://orcid.org/0000-0001-5167-4804","affiliations":[{"raw_affiliation_string":"Clinical Research Institute Medical AI, Johannes Kepler University Linz","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038121704","display_name":"Lukas Schletter","orcid":null},"institutions":[{"id":"https://openalex.org/I2801533059","display_name":"German Center for Neurodegenerative Diseases","ror":"https://ror.org/043j0f473","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801533059","https://openalex.org/I4405256427"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Schletter","raw_affiliation_strings":["German Center for Neurodegenerative Diseases (DZNE)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Center for Neurodegenerative Diseases (DZNE)","institution_ids":["https://openalex.org/I2801533059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069332361","display_name":"Alexander Effland","orcid":"https://orcid.org/0000-0001-5936-048X"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Effland","raw_affiliation_strings":["University of Bonn"],"raw_orcid":"https://orcid.org/0000-0001-5936-048X","affiliations":[{"raw_affiliation_string":"University of Bonn","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":{"value":2645,"currency":"USD","value_usd":2645},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66151697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"8","first_page":"4591","last_page":"4604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.45159998536109924,"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":0.45159998536109924,"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":0.08049999922513962,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.05860000103712082,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.513700008392334},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4120999872684479},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.38260000944137573},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35280001163482666},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.33399999141693115},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.33149999380111694}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.513700008392334},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4032000005245209},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36070001125335693},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35280001163482666},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3346000015735626},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.33149999380111694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C2780441642","wikidata":"https://www.wikidata.org/wiki/Q849737","display_name":"Single-photon emission computed tomography","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29120001196861267},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C186594802","wikidata":"https://www.wikidata.org/wiki/Q6057371","display_name":"Interventional magnetic resonance imaging","level":3,"score":0.2524000108242035}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2026.3705847","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3705847","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:42329942","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42329942","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2605.22121","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.22121","pdf_url":"https://arxiv.org/pdf/2605.22121","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/tmi.2026.3705847","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3705847","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3620252990","display_name":"EXC 2151: ImmunoSensation2  the immune sensory system","funder_award_id":"EXC2151390873048","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2],"(MRI)":[3],"is":[4,125],"highly":[5],"susceptible":[6],"to":[7,11,37,62,177],"patient":[8,29],"motion":[9,53,71,94,139,174,182,191],"due":[10,61],"its":[12],"relatively":[13],"long":[14],"acquisition":[15],"times":[16],"and":[17,44,70,96,140,159,173,180,192],"the":[18,63,67,90,149,166,187],"fact":[19],"that":[20,47,87,165],"data":[21],"are":[22],"acquired":[23],"sequentially":[24],"in":[25,58,186],"k-space.":[26],"Even":[27],"small":[28],"movements":[30],"introduce":[31],"phase":[32],"inconsistencies":[33],"across":[34],"measurements,":[35],"leading":[36],"severe":[38,190],"artifacts":[39],"such":[40],"as":[41,114],"blurring,":[42],"ghosting,":[43],"geometric":[45],"distortions":[46],"can":[48],"compromise":[49],"diagnostic":[50],"quality.":[51],"Retrospective":[52],"compensation":[54],"remains":[55],"challenging,":[56],"particularly":[57,185],"accelerated":[59],"acquisitions,":[60],"ill-posed":[64],"nature":[65],"of":[66,189],"joint":[68],"reconstruction":[69,147],"estimation":[72],"problem.":[73],"In":[74],"this":[75],"work,":[76],"we":[77],"propose":[78],"a":[79,120],"unified":[80],"Bayesian":[81],"framework":[82],"for":[83,138,151],"motion-compensated":[84],"3-D":[85,109],"MRI":[86,162],"jointly":[88],"estimates":[89],"anatomical":[91,116],"image,":[92],"rigid-body":[93],"parameters,":[95],"coil":[97,141],"sensitivity":[98,142],"maps":[99],"directly":[100],"from":[101],"motion-corrupted":[102],"k-space":[103],"data.":[104,155],"Our":[105],"approach":[106],"integrates":[107],"pretrained":[108],"complex-valued":[110],"score-based":[111],"diffusion":[112,129],"models":[113],"expressive":[115],"image":[117,131,171],"priors":[118],"within":[119],"physics-based":[121],"forward":[122],"model.":[123],"Inference":[124],"performed":[126],"by":[127],"alternating":[128],"posterior":[130],"updates":[132],"with":[133],"efficient":[134],"proximal":[135],"optimization":[136],"steps":[137],"estimation,":[143],"enabling":[144],"fully":[145],"unsupervised":[146],"without":[148],"need":[150],"paired":[152],"motion-free":[153],"training":[154],"Experiments":[156],"on":[157],"simulated":[158],"real-motion":[160],"brain":[161],"datasets":[163],"demonstrate":[164],"proposed":[167],"method":[168],"achieves":[169],"improved":[170],"quality":[172],"robustness":[175],"compared":[176],"state-of-the-art":[178],"classical":[179],"learning-based":[181],"correction":[183],"techniques,":[184],"presence":[188],"high":[193],"acceleration.":[194]},"counts_by_year":[],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2026-06-23T00:00:00"}