{"id":"https://openalex.org/W1993303983","doi":"https://doi.org/10.1109/embc.2013.6609772","title":"Aortic valve segmentation from ultrasound images based on shape constraint CV model","display_name":"Aortic valve segmentation from ultrasound images based on shape constraint CV model","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1993303983","doi":"https://doi.org/10.1109/embc.2013.6609772","mag":"1993303983","pmid":"https://pubmed.ncbi.nlm.nih.gov/24109959"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6609772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101178521","display_name":"Bin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]},{"id":"https://openalex.org/I4210140680","display_name":"Affiliated Hospital of Hebei University","ror":"https://ror.org/049vsq398","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140680"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Dong","raw_affiliation_strings":["Affiliated Hospital of Hebei University, Baoding City, Hebei, China","Affiliated Hosp. of Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"Affiliated Hospital of Hebei University, Baoding City, Hebei, China","institution_ids":["https://openalex.org/I4210140680"]},{"raw_affiliation_string":"Affiliated Hosp. of Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029885091","display_name":"Yiting Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]},{"id":"https://openalex.org/I4210140680","display_name":"Affiliated Hospital of Hebei University","ror":"https://ror.org/049vsq398","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140680"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiting Guo","raw_affiliation_strings":["Affiliated Hospital of Hebei University, Baoding City, Hebei, China","Biomed. Multidiscipl. Res. Center of Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"Affiliated Hospital of Hebei University, Baoding City, Hebei, China","institution_ids":["https://openalex.org/I4210140680"]},{"raw_affiliation_string":"Biomed. Multidiscipl. Res. Center of Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382517","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0002-6549-8837"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["College of Mathematics and Computer Science, Hebei University, Baoding City, Hebei, China","Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Hebei University, Baoding City, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Math. & Comput. Sci., HeBei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006404871","display_name":"Lixu Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixu Gu","raw_affiliation_strings":["Biomedical Multidisciplinary Research Center of Hebei University, Baoding City, Hebei, China","Biomed. Multidiscipl. Res. Center of Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"Biomedical Multidisciplinary Research Center of Hebei University, Baoding City, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Biomed. Multidiscipl. Res. Center of Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101178521"],"corresponding_institution_ids":["https://openalex.org/I4210140680","https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.5956,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71888657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2013","issue":null,"first_page":"1402","last_page":"1405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9957000017166138,"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"}},"topics":[{"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.98089998960495,"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9330000281333923,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.7133274674415588},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6362383365631104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5826436281204224},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5620797872543335},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5175289511680603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5046542882919312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4822317063808441},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4739002287387848},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44686761498451233},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.439306378364563},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.42936253547668457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37003353238105774},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.178275465965271},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13418573141098022},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09189653396606445}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7133274674415588},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6362383365631104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5826436281204224},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5620797872543335},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5175289511680603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5046542882919312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4822317063808441},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4739002287387848},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44686761498451233},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.439306378364563},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.42936253547668457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37003353238105774},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.178275465965271},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13418573141098022},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09189653396606445},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001021","descriptor_name":"Aortic Valve","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001021","descriptor_name":"Aortic Valve","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001021","descriptor_name":"Aortic Valve","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004452","descriptor_name":"Echocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014465","descriptor_name":"Ultrasonics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014465","descriptor_name":"Ultrasonics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014465","descriptor_name":"Ultrasonics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6609772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24109959","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24109959","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1554403683","https://openalex.org/W2040472108","https://openalex.org/W2043986201","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2116440302","https://openalex.org/W2119249988","https://openalex.org/W2121248855","https://openalex.org/W2153431772","https://openalex.org/W2171011709","https://openalex.org/W7074135002"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"Image":[0],"Guided":[1],"Intervention":[2],"for":[3,44],"valvular":[4],"heart":[5],"disease":[6],"is":[7,26,72,90,108],"increasingly":[8],"making":[9],"progress":[10],"in":[11,59,126,145,160],"minimally":[12],"invasive":[13],"manner,":[14],"where":[15,129],"effective":[16],"and":[17,56,105,148,176],"accurate":[18],"segmentation":[19,122],"of":[20,65],"aortic":[21],"valve":[22],"(AV)":[23],"from":[24,48,87,110],"echocardiography":[25],"fundamental":[27],"to":[28,79,96],"improve":[29],"the":[30,46,53,63,66,69,76,80,97,106,111,116,127,130,166],"intra":[31],"operative":[32],"location":[33],"accuracy.":[34],"This":[35],"paper":[36],"proposes":[37],"a":[38,101],"shape":[39,77,85,167],"constraint":[40,78,95,168],"Chan-Vese":[41],"(CV)":[42],"model":[43,170],"segmenting":[45],"AV":[47,60,88,107,121,147,173],"ultrasound":[49],"(US)":[50],"images.":[51],"Considering":[52],"poor":[54],"quality":[55],"speckle":[57],"noise":[58],"US":[61,112],"images,":[62],"problem":[64],"overflow":[67],"at":[68],"weak":[70],"edge":[71],"solved":[73],"by":[74,114],"adding":[75],"CV":[81,169],"model.":[82],"The":[83],"predefined":[84],"constructed":[86],"region":[89],"applied":[91],"as":[92],"an":[93],"energy":[94,98,117],"function":[99],"through":[100],"signed":[102],"distance":[103],"map,":[104],"detected":[109],"image":[113],"minimizing":[115],"function.":[118],"A":[119],"hundred":[120],"results":[123],"are":[124,133],"analyzed":[125],"experiment,":[128],"evaluation":[131],"parameters":[132],"95.38":[134],"\u00b1":[135,138,142,150,153,157],"2.7%,":[136],"1.4":[137],"0.5":[139],"mm,":[140,155],"2.07":[141],"1.3":[143],"mm":[144,159],"transthoracic":[146],"97.21":[149],"1.6%,":[151],"0.7":[152],"0.15":[154],"1.04":[156],"0.6":[158],"transesophageal":[161],"AV,":[162],"which":[163],"reveal":[164],"that":[165],"can":[171],"segment":[172],"accurately,":[174],"efficiently":[175],"robustly.":[177]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
