{"id":"https://openalex.org/W7165168486","doi":"https://doi.org/10.48550/arxiv.2606.18723","title":"Clinically Aligned Geometry Constraints for Robust IVUS Vessel Boundary Segmentation","display_name":"Clinically Aligned Geometry Constraints for Robust IVUS Vessel Boundary Segmentation","publication_year":2026,"publication_date":"2026-06-17","ids":{"openalex":"https://openalex.org/W7165168486","doi":"https://doi.org/10.48550/arxiv.2606.18723"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.18723","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.18723","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.2606.18723","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138514285","display_name":"Yunshu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yunshu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138943493","display_name":"Litao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Litao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138933788","display_name":"Giuseppe Di Giovanni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Giovanni, Giuseppe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138846890","display_name":"Jordan Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Jordan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138903407","display_name":"Deval Mehta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehta, Deval","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136634207","display_name":"Andrew Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Andrew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138930653","display_name":"Derek Chew","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chew, Derek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138938167","display_name":"Masasi Fujino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fujino, Masasi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138944948","display_name":"Julie Butters","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Butters, Julie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138914977","display_name":"Stephen Nicholls","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholls, Stephen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138908697","display_name":"Zongyuan Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Zongyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138842983","display_name":"Kyung Hoon Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Kyung Hoon","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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9122999906539917,"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"}},"topics":[{"id":"https://openalex.org/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9122999906539917,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.01899999938905239,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.014399999752640724,"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/segmentation","display_name":"Segmentation","score":0.666700005531311},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5985000133514404},{"id":"https://openalex.org/keywords/intravascular-ultrasound","display_name":"Intravascular ultrasound","score":0.5985000133514404},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4796000123023987},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.45899999141693115},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4374000132083893},{"id":"https://openalex.org/keywords/lumen","display_name":"Lumen (anatomy)","score":0.3682999908924103},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.36320000886917114}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.666700005531311},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5985000133514404},{"id":"https://openalex.org/C2776931568","wikidata":"https://www.wikidata.org/wiki/Q1671577","display_name":"Intravascular ultrasound","level":2,"score":0.5985000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828999876976013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5088000297546387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5066999793052673},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.45730000734329224},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C131631996","wikidata":"https://www.wikidata.org/wiki/Q1141325","display_name":"Lumen (anatomy)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.34769999980926514},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32850000262260437},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27570000290870667},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C158843486","wikidata":"https://www.wikidata.org/wiki/Q2137810","display_name":"Complex geometry","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.18723","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.18723","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.2606.18723","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.18723","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intravascular":[0],"ultrasound":[1],"(IVUS)":[2],"lumen":[3,20],"and":[4,31,45,71,87,114,127,133,149,167],"external":[5],"elastic":[6],"membrane":[7],"(EEM)":[8],"segmentation":[9,112],"is":[10,92],"important":[11],"for":[12],"quantitative":[13],"coronary":[14],"plaque":[15,27,29,175],"burden":[16,30,176],"assessment.":[17],"Errors":[18],"in":[19],"or":[21],"EEM":[22],"delineation":[23],"directly":[24,79],"propagate":[25],"to":[26,49,146,153],"area,":[28],"geometric":[32,159],"measurements.":[33,52],"However,":[34],"standard":[35],"methods":[36],"prioritising":[37],"overlap":[38],"scores":[39],"often":[40],"suffer":[41],"from":[42,98],"boundary":[43,120],"drift":[44],"topology":[46,124,151],"errors,":[47],"leading":[48],"inaccurate":[50],"clinical":[51,116,128],"We":[53,107],"present":[54],"GeoCat,":[55],"a":[56,140],"geometry-consistent":[57],"network":[58],"that":[59],"processes":[60],"5-frame":[61],"IVUS":[62,105],"clips":[63],"using":[64,110],"dual":[65],"Cartesian-polar":[66],"encoders":[67],"with":[68,102],"cross-domain":[69],"attention":[70],"temporal":[72],"fusion.":[73],"A":[74],"differentiable":[75],"geometry":[76,129],"consistency":[77],"loss":[78],"supervises":[80],"clinically":[81],"relevant":[82],"descriptors":[83],"including":[84,118],"diameters,":[85],"orientations,":[86],"cross-sectional":[88],"areas.":[89],"The":[90],"model":[91],"trained":[93],"on":[94],"12,242":[95],"annotated":[96],"frames":[97],"146":[99],"patients":[100],"acquired":[101],"two":[103],"commercial":[104],"systems.":[106],"evaluate":[108],"performance":[109],"both":[111],"accuracy":[113],"plaque-relevant":[115],"metrics,":[117],"Dice/IoU,":[119],"measures(95HD":[121],"(mm),":[122],"ASSD),":[123],"violation":[125],"rate,":[126],"errors":[130,163,169],"(dmax/dmin,":[131],"angles,":[132],"areas).":[134],"On":[135],"our":[136],"dataset,":[137],"GeoCat":[138],"achieves":[139],"Dice":[141],"of":[142,164,170],"0.93,":[143],"reduces":[144],"95HD":[145],"0.14":[147],"mm,":[148],"lowers":[150],"violations":[152],"1.0%.":[154],"Importantly,":[155],"it":[156],"significantly":[157],"improves":[158],"fidelity,":[160],"yielding":[161],"diameter":[162],"0.13-0.16":[165],"mm":[166],"angular":[168],"~8":[171],"degrees,":[172],"supporting":[173],"reliable":[174],"quantification.":[177]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-19T00:00:00"}