{"id":"https://openalex.org/W7163578894","doi":"https://doi.org/10.48550/arxiv.2606.04700","title":"A New Angle on Bones: Robust Pose Estimation in X-Ray and Ultrasound","display_name":"A New Angle on Bones: Robust Pose Estimation in X-Ray and Ultrasound","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7163578894","doi":"https://doi.org/10.48550/arxiv.2606.04700"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04700","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.04700","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006550946","display_name":"Ron Keuth","orcid":"https://orcid.org/0009-0003-4289-2836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keuth, Ron","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000532038","display_name":"Christoph Gro\u00dfbr\u00f6hmer","orcid":"https://orcid.org/0000-0002-8926-8729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gro\u00dfbr\u00f6hmer, Christoph","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137886602","display_name":"Franziska Halm","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Halm, Franziska","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137835024","display_name":"Miriam Johann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johann, Miriam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104317855","display_name":"Anne-Nele Schr\u00f6der","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schr\u00f6der, Anne-Nele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022997823","display_name":"Ludger T\u00fcshaus","orcid":"https://orcid.org/0000-0001-7997-6396"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T\u00fcshaus, Ludger","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137858917","display_name":"Mattias P. Heinrich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heinrich, Mattias P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137847945","display_name":"Lasse Hansen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hansen, Lasse","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.1459999978542328,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.1459999978542328,"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/T11218","display_name":"Hip disorders and treatments","score":0.07370000332593918,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.06350000202655792,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.713100016117096},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5881999731063843},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.49540001153945923},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.42750000953674316},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4120999872684479},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4115999937057495},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.38179999589920044},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.357699990272522}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.713100016117096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6733999848365784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.652899980545044},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5881999731063843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382999777793884},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.49540001153945923},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3433000147342682},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C47070683","wikidata":"https://www.wikidata.org/wiki/Q1906457","display_name":"Acoustic shadow","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.259799987077713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04700","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.04700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04700","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Measuring":[0],"the":[1,112,118,136],"angle":[2,98,153],"between":[3],"bone":[4,41],"structures":[5],"is":[6],"a":[7,16,45,52],"routine":[8],"task":[9],"in":[10,104,115,155],"medical":[11],"image":[12],"analysis":[13],"and":[14,22,30,76,83,106,108,129,149],"provides":[15],"key":[17],"quantitative":[18],"parameter":[19],"for":[20,151],"diagnosis":[21],"treatment":[23],"planning.":[24],"Automated":[25],"methods":[26],"can":[27],"reduce":[28],"time":[29],"cost":[31],"while":[32],"improving":[33],"reproducibility.":[34],"In":[35],"this":[36],"work,":[37],"we":[38,71],"address":[39],"automatic":[40],"pose":[42],"estimation":[43,99],"using":[44,117],"learning-based":[46],"point":[47],"candidate":[48],"proposal":[49],"followed":[50],"by":[51],"line":[53,61],"model":[54],"to":[55,69,86],"extract":[56],"axis":[57],"parameters.":[58],"Since":[59],"conventional":[60],"models":[62],"such":[63,80],"as":[64,81],"least":[65],"squares":[66],"are":[67,157],"sensitive":[68],"outliers,":[70],"incorporate":[72],"false-positive":[73],"reduction":[74],"strategies":[75],"robust":[77],"fitting":[78],"techniques,":[79],"RANSAC":[82],"Hough":[84],"transforms,":[85],"improve":[87],"robustness.":[88],"We":[89],"evaluate":[90],"our":[91],"method":[92],"on":[93,160],"three":[94],"clinically":[95],"relevant":[96],"paediatric":[97],"tasks:":[100],"fracture":[101,152],"fragment":[102],"assessment":[103,154],"radiographs":[105,156],"ultrasound":[107,116],"developmental":[109],"dysplasia":[110],"of":[111,126],"hip":[113],"evaluation":[114],"Graf":[119],"method.":[120],"Our":[121,147],"approach":[122],"achieves":[123],"mean":[124],"errors":[125],"$4.1^\\circ$,":[127],"$5.4^\\circ$,":[128],"$5.51^\\circ$,":[130],"respectively,":[131],"not":[132],"only":[133],"remaining":[134],"within":[135],"expected":[137],"clinical":[138],"observer":[139],"variability,":[140],"but":[141],"also":[142],"significantly":[143],"outperforming":[144],"landmark-based":[145],"methods.":[146],"code":[148],"annotations":[150],"publicly":[158],"available":[159],"GitHub.":[161]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-05T00:00:00"}
