{"id":"https://openalex.org/W2793706035","doi":"https://doi.org/10.1117/12.2293309","title":"Topological leakage detection and freeze-and-grow propagation for improved CT-based airway segmentation","display_name":"Topological leakage detection and freeze-and-grow propagation for improved CT-based airway segmentation","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2793706035","doi":"https://doi.org/10.1117/12.2293309","mag":"2793706035"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293309","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: 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/A5066038745","display_name":"Syed Ahmed Nadeem","orcid":"https://orcid.org/0000-0002-5933-3825"},"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":true,"raw_author_name":"Syed Ahmed Nadeem","raw_affiliation_strings":["The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"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)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034792301","display_name":"Jered Sieren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139280","display_name":"Vida Diagnostics (United States)","ror":"https://ror.org/052am5598","country_code":"US","type":"company","lineage":["https://openalex.org/I4210139280"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jered P. Sieren","raw_affiliation_strings":["VIDA Diagnostics, Inc. (United States)"],"affiliations":[{"raw_affiliation_string":"VIDA Diagnostics, Inc. (United States)","institution_ids":["https://openalex.org/I4210139280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033203259","display_name":"Punam K. Saha","orcid":"https://orcid.org/0000-0003-1576-118X"},"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":"Punam K. Saha","raw_affiliation_strings":["The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066038745"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65518501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4684","issue":null,"first_page":"45","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.989799976348877,"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":0.8549909591674805},{"id":"https://openalex.org/keywords/airway","display_name":"Airway","score":0.6538885235786438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426870226860046},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.500037670135498},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4714454412460327},{"id":"https://openalex.org/keywords/parenchyma","display_name":"Parenchyma","score":0.46011075377464294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4536173343658447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38828250765800476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33267340064048767},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26906126737594604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1820961833000183},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12763476371765137},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.10546180605888367}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8549909591674805},{"id":"https://openalex.org/C105922876","wikidata":"https://www.wikidata.org/wiki/Q1423981","display_name":"Airway","level":2,"score":0.6538885235786438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426870226860046},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.500037670135498},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4714454412460327},{"id":"https://openalex.org/C196822366","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Parenchyma","level":2,"score":0.46011075377464294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4536173343658447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38828250765800476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33267340064048767},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26906126737594604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1820961833000183},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12763476371765137},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.10546180605888367},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293309","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W255569507","https://openalex.org/W1933728871","https://openalex.org/W1965930865","https://openalex.org/W2002361709","https://openalex.org/W2002440221","https://openalex.org/W2007222931","https://openalex.org/W2015291970","https://openalex.org/W2029211937","https://openalex.org/W2033748578","https://openalex.org/W2045898750","https://openalex.org/W2046023629","https://openalex.org/W2082907106","https://openalex.org/W2101975343","https://openalex.org/W2103148294","https://openalex.org/W2106990937","https://openalex.org/W2113622874","https://openalex.org/W2120397327","https://openalex.org/W2122017330","https://openalex.org/W2127890285","https://openalex.org/W2130384788","https://openalex.org/W2136057478","https://openalex.org/W2138997396","https://openalex.org/W2167794938","https://openalex.org/W2293454490","https://openalex.org/W2344305341","https://openalex.org/W2547055581","https://openalex.org/W2619004301","https://openalex.org/W2742335709","https://openalex.org/W3016413756","https://openalex.org/W4239510810","https://openalex.org/W6609577418","https://openalex.org/W6650917378","https://openalex.org/W6657799779","https://openalex.org/W6661793211","https://openalex.org/W6675569011","https://openalex.org/W6696727376","https://openalex.org/W6738482181","https://openalex.org/W6742071601","https://openalex.org/W6775963771"],"related_works":["https://openalex.org/W2004371679","https://openalex.org/W1966092509","https://openalex.org/W2978965478","https://openalex.org/W2044671460","https://openalex.org/W2022029906","https://openalex.org/W2009889000","https://openalex.org/W2041497154","https://openalex.org/W2151360818","https://openalex.org/W2983114262","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Numerous":[0],"large":[1,79],"multi-center":[2],"studies":[3],"are":[4,36],"incorporating":[5],"the":[6,14,30,46,71,125,134],"use":[7],"of":[8,13,32,45,57,63,73,159],"computed":[9],"tomography":[10],"(CT)-based":[11],"characterization":[12],"lung":[15,164],"parenchyma":[16],"and":[17,27,97,117,142,172],"bronchial":[18],"tree":[19,41,90,127],"to":[20,122,175],"understand":[21],"chronic":[22],"obstructive":[23],"pulmonary":[24],"disease":[25],"status":[26],"progression.":[28],"To":[29],"best":[31],"our":[33],"knowledge,":[34],"there":[35],"no":[37,106,181],"fully":[38,103],"automated":[39,104],"airway":[40,89,126,177],"segmentation":[42,58,65,91,167,178],"methods,":[43],"free":[44],"need":[47],"for":[48],"user":[49],"review.":[50],"A":[51],"failure":[52],"in":[53,78],"even":[54],"a":[55,86,118,139],"fraction":[56],"results":[59,168],"necessitates":[60],"manual":[61,107],"revision":[62],"all":[64],"masks":[66],"which":[67],"is":[68,102],"laborious":[69],"considering":[70],"thousands":[72],"image":[74],"data":[75],"sets":[76],"evaluated":[77],"studies.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"present":[85],"novel":[87],"CT-based":[88],"algorithm":[92,121],"using":[93],"topological":[94],"leakage":[95],"detection":[96],"freeze-and-grow":[98,119],"propagation.":[99],"The":[100,151],"method":[101,152,179],"requiring":[105],"inputs":[108],"or":[109],"post-segmentation":[110],"editing.":[111],"It":[112,136],"uses":[113],"simple":[114],"intensity-based":[115],"connectivity":[116],"propagation":[120],"iteratively":[123],"grow":[124],"starting":[128],"from":[129],"an":[130],"initial":[131],"seed":[132],"inside":[133],"trachea.":[135],"begins":[137],"with":[138,180],"conservative":[140],"parameter":[141,149],"then,":[143],"gradually":[144],"shifts":[145],"toward":[146],"more":[147],"generous":[148],"values.":[150],"was":[153],"applied":[154],"on":[155],"chest":[156],"CT":[157],"scans":[158],"fifteen":[160],"subjects":[161],"at":[162],"total":[163],"capacity.":[165],"Airway":[166],"were":[169],"qualitatively":[170],"assessed":[171],"performed":[173],"comparably":[174],"established":[176],"major":[182],"visual":[183],"leakages.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}