{"id":"https://openalex.org/W2792494947","doi":"https://doi.org/10.1117/12.2294406","title":"3D scar segmentation from LGE-MRI using a continuous max-flow method","display_name":"3D scar segmentation from LGE-MRI using a continuous max-flow method","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2792494947","doi":"https://doi.org/10.1117/12.2294406","mag":"2792494947"},"language":"en","primary_location":{"id":"doi:10.1117/12.2294406","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2294406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","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/A5029687243","display_name":"Fatma Usta","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]},{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fatma Usta","raw_affiliation_strings":["Carleton Univ. (Canada)","Univ. of Ottawa (Canada)"],"affiliations":[{"raw_affiliation_string":"Carleton Univ. (Canada)","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Univ. of Ottawa (Canada)","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036560577","display_name":"Wail Gueaieb","orcid":"https://orcid.org/0000-0001-6490-4648"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wail Gueaieb","raw_affiliation_strings":["Univ. of Ottawa (Canada)"],"affiliations":[{"raw_affiliation_string":"Univ. of Ottawa (Canada)","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070858953","display_name":"James A. White","orcid":"https://orcid.org/0000-0002-5297-4507"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"James A. White","raw_affiliation_strings":["Univ. of Calgary (Canada)"],"affiliations":[{"raw_affiliation_string":"Univ. of Calgary (Canada)","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044454144","display_name":"Eranga Ukwatta","orcid":"https://orcid.org/0000-0003-0180-4716"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eranga Ukwatta","raw_affiliation_strings":["Carleton Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Carleton Univ. (Canada)","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029687243"],"corresponding_institution_ids":["https://openalex.org/I153718931","https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.7072,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70948012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"29","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7452902793884277},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.5823572278022766},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5570611357688904},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5456008911132812},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.47962483763694763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46997255086898804},{"id":"https://openalex.org/keywords/blood-flow","display_name":"Blood flow","score":0.4526122510433197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40454351902008057},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3788362741470337},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.36529770493507385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36247408390045166},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.32315313816070557},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2985692620277405}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7452902793884277},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.5823572278022766},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5570611357688904},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5456008911132812},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.47962483763694763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46997255086898804},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.4526122510433197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40454351902008057},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3788362741470337},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.36529770493507385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36247408390045166},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.32315313816070557},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2985692620277405}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2294406","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2294406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1602302494","https://openalex.org/W1921280435","https://openalex.org/W1970399645","https://openalex.org/W1979226691","https://openalex.org/W2025362214","https://openalex.org/W2114013702","https://openalex.org/W2119458872","https://openalex.org/W2141214479","https://openalex.org/W2142761958","https://openalex.org/W2225469099","https://openalex.org/W2283099857","https://openalex.org/W2546443060","https://openalex.org/W4230339384","https://openalex.org/W4254044657","https://openalex.org/W6636871134","https://openalex.org/W6680850083","https://openalex.org/W6695902125"],"related_works":["https://openalex.org/W3197954266","https://openalex.org/W4389009345","https://openalex.org/W3047746737","https://openalex.org/W3021454079","https://openalex.org/W1522196789","https://openalex.org/W4287691568","https://openalex.org/W4220718606","https://openalex.org/W2085143385","https://openalex.org/W2005489729","https://openalex.org/W3090294949"],"abstract_inverted_index":{"Myocardial":[0],"scar,":[1],"a":[2,107,120,140,150,160,223],"non-viable":[3],"tissue":[4,65],"which":[5,261],"forms":[6],"in":[7,119,252],"the":[8,16,22,45,88,132,165,171,203,206,241,245,258],"myocardium":[9,158],"due":[10],"to":[11,15,130,190,209],"insufficient":[12],"blood":[13],"supply":[14],"heart":[17,27],"muscle,":[18],"is":[19,37,58,93,106,174],"one":[20],"of":[21,25,33,44,73,87,91,100,149,198,205,228,237],"leading":[23],"causes":[24],"life-threatening":[26],"disorders,":[28],"including":[29],"arrhythmias.":[30],"Accurate":[31],"reconstruction":[32,86],"myocardial":[34,64,101,133],"scar":[35,92,102,134,155,166,172,192,254],"geometry":[36,90],"important":[38],"for":[39,62,81,154,164,170,185,248,257],"diagnosis":[40],"and":[41,85,98,112,156,159,215,230],"clinicial":[42],"prognosis":[43],"patients":[46],"with":[47],"ischemic":[48],"cardiomyopathy.":[49],"The":[50,145,168,219],"3D":[51,104,136,195,253],"late":[52],"gadolinium-enhanced":[53],"magnetic":[54],"resonance":[55],"imaging":[56],"(LGE-MRI)":[57],"increasingly":[59],"being":[60],"investigated":[61],"assessing":[63],"viability.":[66],"For":[67],"applications,":[68],"such":[69],"as":[70],"computational":[71],"modeling":[72],"cardiac":[74],"electrophysiology":[75],"aimed":[76],"at":[77],"stratifying":[78],"patient":[79],"risk":[80],"post-infarction":[82],"arrhythmias,":[83],"segmentation":[84,99,114,173,255],"intact":[89],"required.":[94],"However,":[95],"manual":[96,191],"analysis":[97],"from":[103,135],"LGE-MRI":[105],"tedious":[108],"task.":[109],"Therefore,":[110],"semi-automated":[111],"fully-automated":[113],"algorithms":[115],"are":[116],"highly":[117],"desirable":[118],"clinical":[121],"setting.":[122],"In":[123],"this":[124],"study,":[125],"we":[126],"developed":[127],"an":[128,231],"approach":[129],"segment":[131],"LGE-MR":[137,196],"images":[138,197],"using":[139,176,194],"continuous":[141],"max-flow":[142],"(CMF)":[143],"method.":[144],"data":[146],"term":[147,153,163],"comprised":[148],"distribution":[151],"matching":[152],"normal":[157],"boundary":[161],"smoothness":[162],"boundaries.":[167],"region-of-interest":[169],"constrained,":[175],"manually":[177],"segmented":[178],"myocardium.":[179],"We":[180,201],"evaluated":[181],"our":[182],"CMF":[183,207,220,242,267],"method":[184,221,243],"accuracy":[186],"by":[187,211],"comparing":[188],"it":[189],"delineations":[193],"34":[199],"patients.":[200],"compare":[202],"results":[204],"technique":[208],"ones":[210],"conventional":[212],"full-width-at-half-maximum":[213],"(FWHM)":[214],"signal-threshold-to-reference-mean":[216],"(STRM)":[217],"methods.":[218],"yielded":[222],"Dice":[224],"similarity":[225],"coefficient":[226],"(DSC)":[227],"72&plusmn;18&percnt;":[229],"absolute":[232],"volume":[233],"error":[234],"(&vert;V":[235],"E&vert;)":[236],"15.42&plusmn;14.1":[238],"<i>cm</i><sup>3</sup>.":[239],"Overall,":[240],"outperformed":[244],"state-of-the-art":[246],"methods":[247],"all":[249],"reported":[250],"metrics":[251],"except":[256],"recall":[259],"value":[260],"STRM":[262],"2-SD":[263],"performed":[264],"better":[265],"than":[266],"on":[268],"average.":[269]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}