{"id":"https://openalex.org/W1978927105","doi":"https://doi.org/10.1117/12.2007094","title":"Combining active appearance and deformable superquadric models for LV segmentation in cardiac MRI","display_name":"Combining active appearance and deformable superquadric models for LV segmentation in cardiac MRI","publication_year":2013,"publication_date":"2013-03-13","ids":{"openalex":"https://openalex.org/W1978927105","doi":"https://doi.org/10.1117/12.2007094","mag":"1978927105"},"language":"en","primary_location":{"id":"doi:10.1117/12.2007094","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007094","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5006611932","display_name":"Sharath Gopal","orcid":null},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharath Gopal","raw_affiliation_strings":["Cedars-Sinai Medical Ctr. (United States)","Univ. of California, Los Angeles (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Ctr. (United States)","institution_ids":["https://openalex.org/I1282927834"]},{"raw_affiliation_string":"Univ. of California, Los Angeles (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111836827","display_name":"Yuka Otaki","orcid":null},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuka Otaki","raw_affiliation_strings":["Cedars-Sinai Medical Ctr. (United States)","Cedars-Sinai Medical Ctr.  (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Ctr. (United States)","institution_ids":["https://openalex.org/I1282927834"]},{"raw_affiliation_string":"Cedars-Sinai Medical Ctr.  (United States)","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041696948","display_name":"Reza Arsanjani","orcid":"https://orcid.org/0000-0001-7081-4286"},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Arsanjani","raw_affiliation_strings":["Cedars-Sinai Medical Ctr. (United States)","Cedars-Sinai Medical Ctr.  (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Ctr. (United States)","institution_ids":["https://openalex.org/I1282927834"]},{"raw_affiliation_string":"Cedars-Sinai Medical Ctr.  (United States)","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727282","display_name":"Daniel S. Berman","orcid":"https://orcid.org/0000-0002-3793-9578"},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Berman","raw_affiliation_strings":["Cedars-Sinai Medical Ctr. (United States)","Cedars-Sinai Medical Ctr.  (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Ctr. (United States)","institution_ids":["https://openalex.org/I1282927834"]},{"raw_affiliation_string":"Cedars-Sinai Medical Ctr.  (United States)","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034397232","display_name":"Demetri Terzopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Demetri Terzopoulos","raw_affiliation_strings":["Univ. of California, Los Angeles (United States)","University of California Los Angeles UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of California, Los Angeles (United States)","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California Los Angeles UNITED STATES","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089319978","display_name":"Piotr J. Slomka","orcid":"https://orcid.org/0000-0002-6110-938X"},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Piotr Slomka","raw_affiliation_strings":["Cedars-Sinai Medical Ctr. (United States)","David Geffen School of Medicine, Univ. of California, Los Angeles (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Ctr. (United States)","institution_ids":["https://openalex.org/I1282927834"]},{"raw_affiliation_string":"David Geffen School of Medicine, Univ. of California, Los Angeles (United States)","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1051,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79871084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"8669","issue":null,"first_page":"86690G","last_page":"86690G"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9957000017166138,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.986299991607666,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7350178360939026},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.642099142074585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5583624839782715},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5463254451751709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5454348921775818},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4857907295227051},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.47842174768447876},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.44955310225486755},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.4370661675930023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2201066017150879}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7350178360939026},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.642099142074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5583624839782715},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5463254451751709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5454348921775818},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4857907295227051},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.47842174768447876},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.44955310225486755},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.4370661675930023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2201066017150879}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2007094","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007094","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2030418251","https://openalex.org/W2032051785","https://openalex.org/W2053227246","https://openalex.org/W2160225702","https://openalex.org/W2172803778"],"related_works":["https://openalex.org/W2609539975","https://openalex.org/W2030040825","https://openalex.org/W2786600129","https://openalex.org/W2161554919","https://openalex.org/W2101536388","https://openalex.org/W2949493976","https://openalex.org/W2132200263","https://openalex.org/W2072360209","https://openalex.org/W4248584426","https://openalex.org/W2102106825"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"automatically":[4,204],"segment":[5,42,108],"the":[6,15,43,61,87,96,109,112,122,135,144,201,211,233],"left":[7],"ventricle":[8],"(LV)":[9],"in":[10,14,94,111],"cardiac":[11],"MR":[12],"images":[13,58],"end-diastole":[16],"(ED)":[17],"and":[18,29,65,132,139,170,177,206,216,226,235,244],"end-systole":[19],"(ES)":[20],"phases":[21],"using":[22,128,137,210],"a":[23,78,92,118,160,184],"novel":[24],"approach":[25,154],"that":[26],"combines":[27],"statistical":[28],"deterministic":[30],"deformable":[31,119],"models.":[32],"A":[33,68],"3D":[34],"Active":[35],"Appearance":[36],"Model":[37],"(AAM)":[38],"is":[39,50,74,99,197,222,240],"used":[40,75,100],"to":[41,59,76,82,91,101,121],"ED":[44,80,225,243],"phase.":[45],"The":[46,164,180,192,219,237],"AAM":[47,88,123],"texture":[48],"model":[49,73,89,98],"trained":[51,69],"on":[52,159],"radial":[53],"samples":[54],"from":[55,148],"gradient":[56],"magnitude":[57],"make":[60],"fitting":[62,117],"process":[63],"faster":[64],"more":[66],"discriminative.":[67],"ED-to-ES":[70],"shape":[71,81,93,125,146,190],"correspondence":[72,97,149],"map":[77],"given":[79],"an":[83,103],"ES":[84,105,113,145,229],"shape.":[85,106],"Once":[86],"converges":[90],"ED,":[95],"get":[102],"approximate":[104],"We":[107,151],"LV":[110,136],"phase":[114],"by":[115,155,199],"first":[116],"superquadric":[120],"converged":[124],"(in":[126],"ED)":[127],"data":[129,140,165,186],"range":[130,141],"forces":[131,142],"then":[133],"tracking":[134],"image":[138],"(for":[143],"obtained":[147],"model).":[150],"test":[152],"our":[153,195],"performing":[156],"leave-one-out":[157],"training":[158],"35":[161],"patient":[162],"datasets.":[163],"comprises":[166],"19":[167],"normal":[168],"patients":[169,172],"16":[171],"having":[173],"heart":[174],"abnormalities":[175],"(cardiomyopathy":[176],"myocardial":[178],"infarction).":[179],"composition":[181],"makes":[182],"it":[183],"challenging":[185],"collection":[187],"with":[188],"significant":[189],"variation.":[191],"performance":[193],"of":[194],"method":[196],"evaluated":[198],"measuring":[200],"mismatch":[202],"between":[203],"segmented":[205],"expert":[207],"delineated":[208],"contours":[209],"Mean":[212],"Perpendicular":[213],"Distance":[214],"(MPD)":[215],"Dice":[217,239],"metrics.":[218],"average":[220,238],"MPD":[221],"2.6mm":[223],"for":[224,228,242,246,253],"3.7mm":[227],"(error":[230],"mostly":[231],"towards":[232],"apex":[234],"base).":[236],"0.9":[241],"0.8":[245],"ES.":[247],"These":[248],"results":[249],"show":[250],"good":[251],"potential":[252],"clinical":[254],"use.":[255]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
