{"id":"https://openalex.org/W2031523905","doi":"https://doi.org/10.1109/isbi.2012.6235585","title":"Level set-based tracking of the endocardium without a shape prior from 3D ultrasound images","display_name":"Level set-based tracking of the endocardium without a shape prior from 3D ultrasound images","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2031523905","doi":"https://doi.org/10.1109/isbi.2012.6235585","mag":"2031523905"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5057026417","display_name":"Yrj\u00f6 H\u00e4me","orcid":"https://orcid.org/0000-0002-0698-0295"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yrjo Hame","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NewYork, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NewYork, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038134629","display_name":"Viktor Gamarnik","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viktor Gamarnik","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NewYork, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NewYork, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081139719","display_name":"Katherine M. Parker","orcid":"https://orcid.org/0000-0001-9349-4553"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katherine M. Parker","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NewYork, NY, USA","Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NewYork, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101832571","display_name":"Jeffrey W. Holmes","orcid":"https://orcid.org/0000-0001-9125-7220"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey W. Holmes","raw_affiliation_strings":["Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090489079","display_name":"Andrew F. Laine","orcid":"https://orcid.org/0000-0003-3797-0628"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew F. Laine","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NewYork, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NewYork, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057026417"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.3726,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66453147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"153","issue":null,"first_page":"466","last_page":"469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9986000061035156,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9986000061035156,"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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/endocardium","display_name":"Endocardium","score":0.7936707735061646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7168608903884888},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7164472341537476},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6924329996109009},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6259562969207764},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6189776659011841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5968515276908875},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5729784965515137},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5233327746391296},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.4838241934776306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45464950799942017},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4395903944969177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43375471234321594},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4328185021877289},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12456008791923523},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11497828364372253}],"concepts":[{"id":"https://openalex.org/C85378888","wikidata":"https://www.wikidata.org/wiki/Q721856","display_name":"Endocardium","level":2,"score":0.7936707735061646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7168608903884888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7164472341537476},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6924329996109009},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6259562969207764},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6189776659011841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968515276908875},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5729784965515137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5233327746391296},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.4838241934776306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45464950799942017},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4395903944969177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43375471234321594},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4328185021877289},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12456008791923523},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11497828364372253},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","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":18,"referenced_works":["https://openalex.org/W1238092070","https://openalex.org/W1523518149","https://openalex.org/W1526263733","https://openalex.org/W1529218336","https://openalex.org/W1551174754","https://openalex.org/W1871223012","https://openalex.org/W1980430533","https://openalex.org/W2027868873","https://openalex.org/W2054622275","https://openalex.org/W2057185205","https://openalex.org/W2093834886","https://openalex.org/W2107855607","https://openalex.org/W2112713547","https://openalex.org/W2135129527","https://openalex.org/W2139681590","https://openalex.org/W2141072581","https://openalex.org/W6631529543","https://openalex.org/W6680971724"],"related_works":["https://openalex.org/W3208696737","https://openalex.org/W2295732440","https://openalex.org/W2347028904","https://openalex.org/W2557144187","https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2373659438","https://openalex.org/W2162755489","https://openalex.org/W1879755808","https://openalex.org/W2164781768"],"abstract_inverted_index":{"A":[0],"level":[1],"set-based":[2],"method":[3,27,104],"for":[4,48],"tracking":[5,15],"the":[6,36,55,69,78,81,103,110,122],"endocardium":[7],"from":[8],"3D":[9],"ultrasound":[10],"images":[11],"is":[12,17,58,74,86,117],"presented.":[13],"The":[14,26,84,99],"process":[16],"initialized":[18],"by":[19],"a":[20,31],"manual":[21,114],"delineation":[22],"and":[23,45,60,116],"performed":[24],"automatically.":[25],"does":[28],"not":[29],"use":[30],"shape":[32],"prior":[33],"model,":[34],"removing":[35],"requirement":[37],"of":[38,42,80,91,113],"acquiring":[39],"large":[40],"sets":[41],"training":[43],"data,":[44],"providing":[46],"adaptivity":[47],"abnormal":[49],"cases.":[50],"At":[51],"each":[52],"image":[53,82,97],"frame,":[54],"edge":[56],"strength":[57],"estimated":[59],"locations":[61],"with":[62,88,106],"strong":[63],"edges":[64],"are":[65],"used":[66],"to":[67,77,119],"compute":[68],"region-based":[70],"surface":[71],"deformation,":[72],"which":[73],"then":[75],"propagated":[76],"rest":[79],"volume.":[83],"approach":[85],"evaluated":[87],"10":[89],"sequences":[90],"canine":[92],"subjects":[93],"including":[94],"5":[95],"ischemic":[96],"sequences.":[98],"results":[100],"show":[101],"that":[102],"performs":[105],"error":[107],"values":[108],"below":[109],"interobserver":[111],"variability":[112],"segmentation,":[115],"able":[118],"robustly":[120],"follow":[121],"cardiac":[123],"wall":[124],"movement.":[125]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
