{"id":"https://openalex.org/W2922529880","doi":"https://doi.org/10.1117/12.2512642","title":"Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape","display_name":"Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2922529880","doi":"https://doi.org/10.1117/12.2512642","mag":"2922529880"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512642","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512642","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 Processing","raw_type":"proceedings-article"},"type":"article","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/A5100342298","display_name":"Yuwen Zhang","orcid":"https://orcid.org/0000-0001-8915-1769"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yuwen Zhang","raw_affiliation_strings":["The Univ. of Auckland (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Auckland (New Zealand)","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012481788","display_name":"Mahyar Osanlouy","orcid":"https://orcid.org/0000-0002-4329-6062"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mahyar Osanlouy","raw_affiliation_strings":["The Univ. of Auckland (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Auckland (New Zealand)","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021269128","display_name":"Alys R. Clark","orcid":"https://orcid.org/0000-0001-5908-2862"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Alys Clark","raw_affiliation_strings":["The Univ. of Auckland (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Auckland (New Zealand)","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102881807","display_name":"Haribalan Kumar","orcid":"https://orcid.org/0000-0001-8729-3472"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Haribalan Kumar","raw_affiliation_strings":["The Univ. of Auckland (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Auckland (New Zealand)","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108297877","display_name":"Clair King","orcid":null},"institutions":[{"id":"https://openalex.org/I2801418622","display_name":"Auckland City Hospital","ror":"https://ror.org/05e8jge82","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2801418622","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Clair King","raw_affiliation_strings":["Auckland City Hospital (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auckland City Hospital (New Zealand)","institution_ids":["https://openalex.org/I2801418622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066800656","display_name":"Margaret Wilsher","orcid":"https://orcid.org/0000-0003-2046-8957"},"institutions":[{"id":"https://openalex.org/I2801418622","display_name":"Auckland City Hospital","ror":"https://ror.org/05e8jge82","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2801418622","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Margaret Wilsher","raw_affiliation_strings":["Auckland City Hospital (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auckland City Hospital (New Zealand)","institution_ids":["https://openalex.org/I2801418622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074836295","display_name":"David Milne","orcid":"https://orcid.org/0000-0002-3696-2805"},"institutions":[{"id":"https://openalex.org/I2801418622","display_name":"Auckland City Hospital","ror":"https://ror.org/05e8jge82","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2801418622","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"David Milne","raw_affiliation_strings":["Auckland City Hospital (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auckland City Hospital (New Zealand)","institution_ids":["https://openalex.org/I2801418622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011527598","display_name":"Eric A. Hoffman","orcid":"https://orcid.org/0000-0001-8456-9437"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric A. Hoffman","raw_affiliation_strings":["The Univ. of Iowa (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065055581","display_name":"Merryn H. Tawhai","orcid":"https://orcid.org/0000-0002-3211-6337"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Merryn Tawhai","raw_affiliation_strings":["The Univ. of Auckland (New Zealand)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Auckland (New Zealand)","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69621411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"109","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/fissure","display_name":"Fissure","score":0.8089858293533325},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6076831817626953},{"id":"https://openalex.org/keywords/lobe","display_name":"Lobe","score":0.48901304602622986},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.45217281579971313},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4302731156349182},{"id":"https://openalex.org/keywords/thin-plate-spline","display_name":"Thin plate spline","score":0.41707974672317505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41600823402404785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41162610054016113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3990912437438965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3831322491168976},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34105056524276733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28505292534828186},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2691017687320709},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.23573991656303406},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2149721086025238}],"concepts":[{"id":"https://openalex.org/C2780749890","wikidata":"https://www.wikidata.org/wiki/Q108822283","display_name":"Fissure","level":2,"score":0.8089858293533325},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6076831817626953},{"id":"https://openalex.org/C2777876421","wikidata":"https://www.wikidata.org/wiki/Q1637174","display_name":"Lobe","level":2,"score":0.48901304602622986},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.45217281579971313},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4302731156349182},{"id":"https://openalex.org/C93132110","wikidata":"https://www.wikidata.org/wiki/Q7784288","display_name":"Thin plate spline","level":4,"score":0.41707974672317505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41600823402404785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41162610054016113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3990912437438965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3831322491168976},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34105056524276733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28505292534828186},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2691017687320709},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.23573991656303406},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2149721086025238},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512642","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512642","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 Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1984119766","https://openalex.org/W1992125702","https://openalex.org/W2013465174","https://openalex.org/W2026563552","https://openalex.org/W2036390026","https://openalex.org/W2038952578","https://openalex.org/W2041719944","https://openalex.org/W2044455073","https://openalex.org/W2106933626","https://openalex.org/W2109424250","https://openalex.org/W2113238819","https://openalex.org/W2123090765","https://openalex.org/W2129417697","https://openalex.org/W2131251288","https://openalex.org/W2149799076","https://openalex.org/W2158078255","https://openalex.org/W2160962723","https://openalex.org/W2167134737","https://openalex.org/W4298164899","https://openalex.org/W6631414042","https://openalex.org/W6661733124","https://openalex.org/W6676172809","https://openalex.org/W6679367408"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W4283017538","https://openalex.org/W1996936972","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W124652744","https://openalex.org/W2024482235","https://openalex.org/W2751918893","https://openalex.org/W2023963920"],"abstract_inverted_index":{"Automatic":[0],"identification":[1],"of":[2,30,49,102,128,141,158,231],"pulmonary":[3,92],"lobes":[4,103],"from":[5],"imaging":[6],"is":[7,167,184],"important":[8],"in":[9,76,90,211,229],"disease":[10],"assessment":[11],"and":[12,33,68,145,179,197,201,215,247],"treatment":[13],"planning.":[14],"However,":[15],"the":[16,53,125,133,170,180,187,202,206,226],"lobar":[17,106],"fissures":[18,39,93],"can":[19,40],"be":[20,42],"difficult":[21],"to":[22,78,87,104,131,154,169,186,224,244],"detect":[23],"automatically,":[24],"as":[25],"they":[26],"are":[27,152],"thin,":[28],"usually":[29],"fuzzy":[31],"appearance":[32],"incomplete":[34],"on":[35,65,194],"CT":[36,199],"scans.":[37],"The":[38,190,220],"also":[41],"obscured":[43],"by":[44,94],"or":[45],"confused":[46],"with":[47,175,218],"features":[48],"disease,":[50],"for":[51,136],"example":[52],"tissue":[54],"abnormalities":[55],"that":[56,205,238],"characterise":[57],"fibrosis.":[58,219],"Traditional":[59],"anatomical":[60],"knowledge-based":[61],"methods":[62,241],"rely":[63],"heavily":[64],"anatomic":[66],"knowledge":[67],"largely":[69],"ignore":[70],"individual":[71],"variability,":[72],"which":[73],"may":[74],"result":[75],"failure":[77],"segment":[79,245],"pathological":[80],"lungs.":[81],"In":[82],"this":[83],"study,":[84],"we":[85,123],"aim":[86],"overcome":[88],"difficulties":[89],"identifying":[91],"using":[95],"a":[96,110,146,156],"statistical":[97,115],"finite":[98],"element":[99],"shape":[100,116],"model":[101,117],"guide":[105],"segmentation.":[107],"By":[108],"deforming":[109],"principle":[111],"component":[112,148],"analysis":[113,144,151],"based":[114,150],"onto":[118],"an":[119,139],"individual\u2019s":[120],"lung":[121,188],"shape,":[122],"predict":[124],"likely":[126],"region":[127,135],"fissure":[129,177,182,227],"locations,":[130],"initialize":[132],"search":[134],"fissures.":[137],"Then,":[138],"eigenvalue":[140],"Hessian":[142],"matrix":[143],"connected":[147],"eigenvector":[149],"used":[153],"determine":[155],"set":[157],"fissure-like":[159,172],"candidate":[160],"points.":[161],"A":[162],"smooth":[163],"multi-level":[164],"\u03b2-spline":[165],"curve":[166],"fitted":[168,181],"most":[171],"points":[173],"(those":[174],"high":[176],"probability)":[178],"plane":[183],"extrapolated":[185],"boundaries.":[189],"method":[191,221],"was":[192,222],"tested":[193],"20":[195],"inspiratory":[196],"expiratory":[198],"scans,":[200],"results":[203],"show":[204],"algorithm":[207],"performs":[208],"well":[209],"both":[210],"healthy":[212],"young":[213],"subjects":[214,217],"older":[216],"able":[223],"estimate":[225],"location":[228],"100%":[230],"cases,":[232],"whereas":[233],"two":[234],"comparison":[235],"segmentation":[236],"softwares":[237],"use":[239],"anatomy-based":[240],"were":[242],"unable":[243],"7/20":[246],"9/20":[248],"subjects,":[249],"respectively.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
