{"id":"https://openalex.org/W2898278648","doi":"https://doi.org/10.1117/12.2512952","title":"Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography","display_name":"Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography","publication_year":2019,"publication_date":"2019-03-08","ids":{"openalex":"https://openalex.org/W2898278648","doi":"https://doi.org/10.1117/12.2512952","mag":"2898278648"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512952","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.11205","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071989904","display_name":"Max-Heinrich Laves","orcid":"https://orcid.org/0000-0003-0156-7247"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Max-Heinrich Laves","raw_affiliation_strings":["Leibniz Univ. Hannover (Germany)"],"affiliations":[{"raw_affiliation_string":"Leibniz Univ. Hannover (Germany)","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044949632","display_name":"L\u00fcder A. Kahrs","orcid":"https://orcid.org/0000-0001-5506-2768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L\u00fcder Alexander Kahrs","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028164919","display_name":"Tobias Ortmaier","orcid":"https://orcid.org/0000-0003-1644-3685"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Ortmaier","raw_affiliation_strings":["Leibniz Univ. Hannover (Germany)"],"affiliations":[{"raw_affiliation_string":"Leibniz Univ. Hannover (Germany)","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sontje Ihler","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sontje Ihler","raw_affiliation_strings":["Leibniz Univ. Hannover (Germany)"],"affiliations":[{"raw_affiliation_string":"Leibniz Univ. Hannover (Germany)","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071989904"],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00247674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10135","issue":null,"first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9997000098228455,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9972000122070312,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.7502298355102539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7380918860435486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.624468207359314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.580767035484314},{"id":"https://openalex.org/keywords/ablation","display_name":"Ablation","score":0.524451494216919},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4709041118621826},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4664420783519745},{"id":"https://openalex.org/keywords/laser-ablation","display_name":"Laser ablation","score":0.41987743973731995},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4129820764064789},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.3846886456012726},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23897817730903625},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19348618388175964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.188683420419693},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10169228911399841}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.7502298355102539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7380918860435486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.624468207359314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.580767035484314},{"id":"https://openalex.org/C2778902805","wikidata":"https://www.wikidata.org/wiki/Q322177","display_name":"Ablation","level":2,"score":0.524451494216919},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4709041118621826},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4664420783519745},{"id":"https://openalex.org/C2779188808","wikidata":"https://www.wikidata.org/wiki/Q1806547","display_name":"Laser ablation","level":3,"score":0.41987743973731995},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4129820764064789},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.3846886456012726},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23897817730903625},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19348618388175964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.188683420419693},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10169228911399841},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1117/12.2512952","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1810.11205","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11205","pdf_url":"https://arxiv.org/pdf/1810.11205","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2898278648","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1810.11205","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:www.repo.uni-hannover.de:123456789/10330","is_oa":false,"landing_page_url":"https://www.repo.uni-hannover.de/handle/123456789/10330","pdf_url":null,"source":{"id":"https://openalex.org/S4306401575","display_name":"Institutional Repository of Leibniz Universit\u00e4t Hannover (Leibniz Universit\u00e4t Hannover)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114112103","host_organization_name":"Leibniz University Hannover","host_organization_lineage":["https://openalex.org/I114112103"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling : 17-19 February 2019, San Diego, California, United States","raw_type":"status-type:publishedVersion"},{"id":"doi:10.48550/arxiv.1810.11205","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.11205","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"},{"id":"doi:10.15488/10257","is_oa":true,"landing_page_url":"https://doi.org/10.15488/10257","pdf_url":null,"source":{"id":"https://openalex.org/S7407052956","display_name":"Leibniz Universit\u00e4t Hannover","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.11205","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11205","pdf_url":"https://arxiv.org/pdf/1810.11205","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3668614442","display_name":null,"funder_award_id":"OPhonLas","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G778850184","display_name":null,"funder_award_id":"PhonLas","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2022334090","https://openalex.org/W2035379092","https://openalex.org/W2047421990","https://openalex.org/W2056405938","https://openalex.org/W2085517012","https://openalex.org/W2088692258","https://openalex.org/W2110871291","https://openalex.org/W2170229522","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2607057921","https://openalex.org/W2610333645","https://openalex.org/W2762439315","https://openalex.org/W2788633781","https://openalex.org/W2794067963","https://openalex.org/W2893234137","https://openalex.org/W3211388659","https://openalex.org/W3214720002","https://openalex.org/W6622446577","https://openalex.org/W6625398172","https://openalex.org/W6630726011","https://openalex.org/W6672434533","https://openalex.org/W6676852973","https://openalex.org/W6687483927","https://openalex.org/W6726644806","https://openalex.org/W6729501454","https://openalex.org/W6730303213","https://openalex.org/W6734327076"],"related_works":["https://openalex.org/W2964298321","https://openalex.org/W3027968084","https://openalex.org/W1609313685","https://openalex.org/W2061199543","https://openalex.org/W2072878759","https://openalex.org/W207098541","https://openalex.org/W2548924446","https://openalex.org/W3034559515","https://openalex.org/W1969667096","https://openalex.org/W3109853361","https://openalex.org/W1969906535","https://openalex.org/W2321059837","https://openalex.org/W4225678045","https://openalex.org/W2134435579","https://openalex.org/W1991139796","https://openalex.org/W628072591","https://openalex.org/W1968494012","https://openalex.org/W2121580559","https://openalex.org/W3099009942","https://openalex.org/W2036278596"],"abstract_inverted_index":{"In":[0,159],"microsurgery,":[1],"lasers":[2],"have":[3],"emerged":[4],"as":[5,27,46,48],"precise":[6],"tools":[7],"for":[8,53,69,114,129,234,253,259,266],"bone":[9,18,41,148,264],"ablation.":[10,118],"A":[11],"challenge":[12],"is":[13,153,167,190,195],"automatic":[14],"control":[15,58],"of":[16,35,40,73,110,143,208,213,224,262],"laser":[17,56,96,117,273],"ablation":[19,57,97,274],"with":[20,105,211],"4D":[21,254],"optical":[22],"coherence":[23],"tomography":[24],"(OCT).":[25],"OCT":[26,54,75,112,132,245,255],"high":[28],"resolution":[29],"imaging":[30],"modality":[31],"provides":[32],"volumetric":[33,111],"images":[34,113,210],"tissue":[36],"and":[37,43,99,134,186,204,247,271],"foresees":[38],"information":[39],"position":[42],"orientation":[44],"(pose)":[45],"well":[47],"thickness.":[49],"However,":[50],"existing":[51],"approaches":[52],"based":[55,126],"rely":[59],"on":[60,169],"external":[61],"tracking":[62,70,127,261],"systems":[63],"or":[64,229],"invasively":[65],"ablated":[66],"artificial":[67],"landmarks":[68],"the":[71,74,79,87,160,178,205,244],"pose":[72],"probe":[76,246],"relative":[77,92,241],"to":[78,137,176,201],"tissue.":[80],"This":[81],"can":[82],"be":[83],"superseded":[84],"by":[85,91,182,198,239],"estimating":[86],"scene":[88,107,151,165,235,250],"flow":[89,108,152,166,185,189,215,236,251],"caused":[90,238],"movement":[93,242],"between":[94,243],"OCT-based":[95],"system":[98],"patient.":[100],"Therefore,":[101],"this":[102],"paper":[103],"deals":[104],"2.5D":[106],"estimation":[109,237,252],"application":[115],"in":[116,155,269],"We":[119],"present":[120],"a":[121,138,156,220],"semi-supervised":[122,197],"convolutional":[123],"neural":[124,193],"network":[125,194],"scheme":[128],"subsequent":[130],"3D":[131],"volumes":[133],"apply":[135],"it":[136],"realistic":[139],"semi-synthetic":[140],"data":[141],"set":[142],"ex":[144],"vivo":[145],"human":[146],"temporal":[147],"specimen.":[149],"The":[150,192,249],"estimated":[154],"two-stage":[157],"approach.":[158],"first":[161],"stage,":[162],"2D":[163],"lateral":[164,184],"computed":[168],"census-transformed":[170],"en-face":[171],"arguments-of-maximum":[172],"intensity":[173],"projections.":[174],"Subsequent":[175],"this,":[177],"projections":[179],"are":[180],"warped":[181,209],"predicted":[183],"1D":[187],"depth":[188],"estimated.":[191],"trained":[196],"combining":[199],"error":[200,207,223],"ground":[202],"truth":[203],"reconstruction":[206],"assumptions":[212],"spatial":[214],"smoothness.":[216],"Quantitative":[217],"evaluation":[218],"reveals":[219],"mean":[221],"endpoint":[222],"(4.7":[225],"±":[226,231],"3.5)":[227],"voxel":[228],"(27.5":[230],"20.5)":[232],"μm":[233],"simulated":[240],"bone.":[248],"enables":[256],"its":[257],"use":[258],"markerless":[260],"mastoid":[263],"structures":[265],"image":[267],"guidance":[268],"general,":[270],"automated":[272],"control.":[275]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}