{"id":"https://openalex.org/W2793348247","doi":"https://doi.org/10.1117/12.2291568","title":"Generative statistical modeling of left atrial appendage appearance to substantiate clinical paradigms for stroke risk stratification","display_name":"Generative statistical modeling of left atrial appendage appearance to substantiate clinical paradigms for stroke risk stratification","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2793348247","doi":"https://doi.org/10.1117/12.2291568","mag":"2793348247"},"language":"en","primary_location":{"id":"doi:10.1117/12.2291568","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291568","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/A5059366989","display_name":"Soroosh Sanatkhani","orcid":"https://orcid.org/0000-0003-4745-0669"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soroosh Sanatkhani","raw_affiliation_strings":["Univ. of Pittsburgh (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Pittsburgh (United States)","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010318999","display_name":"Prahlad G. Menon","orcid":"https://orcid.org/0000-0002-4249-9319"},"institutions":[{"id":"https://openalex.org/I165102784","display_name":"Duquesne University","ror":"https://ror.org/02336z538","country_code":"US","type":"education","lineage":["https://openalex.org/I165102784"]},{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prahlad G. Menon","raw_affiliation_strings":["Duquesne Univ. (United States)","Univ. of Pittsburgh (United States)"],"affiliations":[{"raw_affiliation_string":"Duquesne Univ. (United States)","institution_ids":["https://openalex.org/I165102784"]},{"raw_affiliation_string":"Univ. of Pittsburgh (United States)","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059366989"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.3391,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62240046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"114","issue":null,"first_page":"92","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11274","display_name":"Botulinum Toxin and Related Neurological Disorders","score":0.9398999810218811,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9063000082969666,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.8263042569160461},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5648391246795654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5332770943641663},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.5095818042755127},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.48355337977409363},{"id":"https://openalex.org/keywords/thrombus","display_name":"Thrombus","score":0.43578147888183594},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.43492648005485535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40625661611557007},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3958200216293335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.372780978679657}],"concepts":[{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.8263042569160461},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5648391246795654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332770943641663},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.5095818042755127},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.48355337977409363},{"id":"https://openalex.org/C2781362458","wikidata":"https://www.wikidata.org/wiki/Q1588755","display_name":"Thrombus","level":2,"score":0.43578147888183594},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.43492648005485535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40625661611557007},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3958200216293335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.372780978679657},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2291568","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291568","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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1973090051","https://openalex.org/W2036046153","https://openalex.org/W2053482681","https://openalex.org/W2058987278","https://openalex.org/W2063589187","https://openalex.org/W2102464096","https://openalex.org/W2105059416","https://openalex.org/W2107050765","https://openalex.org/W2121767516","https://openalex.org/W2128635858","https://openalex.org/W2132505348","https://openalex.org/W2164861810","https://openalex.org/W2176989996","https://openalex.org/W2480363845","https://openalex.org/W2766690006","https://openalex.org/W2911493329","https://openalex.org/W4230550466","https://openalex.org/W4242762455","https://openalex.org/W6659408722","https://openalex.org/W6675570026","https://openalex.org/W6683913492"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2916669046","https://openalex.org/W2036609560","https://openalex.org/W2386103928","https://openalex.org/W346861917","https://openalex.org/W2373052636"],"abstract_inverted_index":{"Left":[0],"atrial":[1,15,139,180],"appendage":[2],"(LAA)":[3],"is":[4,79,85,264],"the":[5,10,92,95,111,114,131,134,163,191,224,248,256,260,268,279],"source":[6],"of":[7,9,54,94,98,113,133,146,149,159,171,206,234,240,287,293],"91%":[8],"thrombi":[11],"in":[12,50,136,138,197,204,220],"patients":[13,137,173],"with":[14,65,118,179,284],"arrhythmias":[16],"(~2.3":[17],"million":[18],"US":[19],"adults),":[20],"turning":[21],"this":[22],"region":[23],"into":[24,36,162],"a":[25,104,143,154],"potential":[26],"threat":[27],"for":[28],"stroke.":[29],"LAA":[30,99,115,135,150,176,225,251,282],"geometries":[31,283],"have":[32,61,267],"been":[33,63],"clinically":[34],"categorized":[35],"four":[37,164],"appearance":[38,49,78,132,151,167,177,227,241,252],"groups":[39],"viz.":[40],"Cauliflower,":[41],"Cactus,":[42],"Chicken-Wing":[43,261],"and":[44,60,84,107,121,185,209],"WindSock,":[45],"based":[46,228],"on":[47,110,229],"visual":[48,77],"3D":[51],"volume":[52,188,192],"visualizations":[53],"contrast-enhanced":[55],"computed":[56],"tomography":[57],"(CT)":[58],"imaging,":[59],"further":[62],"correlated":[64],"stroke":[66,270,288],"risk":[67,271,286,296],"by":[68,81],"considering":[69],"clinical":[70,166,273],"mortality":[71,274],"statistics.":[72,275],"However,":[73],"such":[74],"classification":[75,158],"from":[76],"limited":[80],"human":[82],"subjectivity":[83],"not":[86],"sophisticated":[87],"enough":[88],"to":[89,129,156,199,213,222,266],"address":[90],"all":[91],"characteristics":[93,112],"geometries.":[96],"Quantification":[97],"geometry":[100],"metrics":[101],"can":[102],"reveal":[103],"more":[105],"repeatable":[106],"reliable":[108],"estimate":[109],"which":[116,263],"correspond":[117],"stasis":[119],"risk,":[120],"in-turn":[122],"cardioembolic":[123],"risk.":[124],"We":[125],"present":[126],"an":[127],"approach":[128],"quantify":[130],"fibrillation":[140,181],"(AF)":[141,182],"using":[142,255],"weighted":[144],"set":[145],"baseline":[147],"eigen-modes":[148,239],"variation,":[152],"as":[153,187],"means":[155],"objectify":[157],"patient-specific":[160],"LAAs":[161],"accepted":[165],"groups.":[168],"Clinical":[169],"images":[170,193],"16":[172,238],"(4":[174],"per":[175,272],"category)":[178],"were":[183,194],"identified":[184],"visualized":[186],"images.":[189],"All":[190],"rigidly":[195],"reoriented":[196],"order":[198,221],"be":[200],"spatially":[201],"co-registered,":[202],"normalized":[203],"terms":[205],"intensity,":[207],"resampled":[208],"finally":[210],"reshaped":[211],"appropriately":[212],"carry":[214],"out":[215],"principal":[216,230],"component":[217],"analysis":[218],"(PCA),":[219],"parametrize":[223],"region\u2019s":[226],"components":[231],"(PCs/eigen":[232],"mode)":[233],"greyscale":[235],"appearance,":[236],"generating":[237],"variation.":[242],"Our":[243,276],"pilot":[244],"studies":[245],"show":[246],"that":[247,281],"most":[249],"dominant":[250],"(i.e.":[253],"reconstructable":[254],"fewest":[257],"eigen-modes)":[258],"resembles":[259],"class,":[262],"known":[265],"lowest":[269],"findings":[277],"indicate":[278],"possibility":[280],"high":[285],"are":[289],"higher-order":[290],"statistical":[291],"variants":[292],"underlying":[294],"lower":[295],"shapes.":[297]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}