{"id":"https://openalex.org/W4412171145","doi":"https://doi.org/10.1109/memea65319.2025.11067966","title":"Automated Septum Detection in Echocardiographic Images Using Hough Transform","display_name":"Automated Septum Detection in Echocardiographic Images Using Hough Transform","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4412171145","doi":"https://doi.org/10.1109/memea65319.2025.11067966"},"language":"en","primary_location":{"id":"doi:10.1109/memea65319.2025.11067966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11067966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements & Applications (MeMeA)","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/A5022600700","display_name":"Edoardo Spairani","orcid":"https://orcid.org/0009-0005-1113-0075"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Edoardo Spairani","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118519573","display_name":"Francesco Podda","orcid":null},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Podda","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114097668","display_name":"Edoardo Bosco","orcid":null},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Edoardo Bosco","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008721736","display_name":"Michela Ferrari","orcid":"https://orcid.org/0009-0005-6066-2051"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michela Ferrari","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084121392","display_name":"Marco Piastra","orcid":"https://orcid.org/0000-0003-2556-5254"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Piastra","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016355934","display_name":"Giulia Matrone","orcid":"https://orcid.org/0000-0003-3171-3348"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Matrone","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049021803","display_name":"Giovanni Magenes","orcid":"https://orcid.org/0000-0002-7558-1490"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Magenes","raw_affiliation_strings":["University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Department of Electrical, Computer and Biomedical Engineering,Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022600700"],"corresponding_institution_ids":["https://openalex.org/I25217355"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33499847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.7621999979019165,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.7621999979019165,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/hough-transform","display_name":"Hough transform","score":0.8147097229957581},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6941034197807312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253165602684021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191186904907227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30373626947402954}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8147097229957581},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6941034197807312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253165602684021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191186904907227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30373626947402954}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea65319.2025.11067966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11067966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements & Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2095905764","https://openalex.org/W2915232829","https://openalex.org/W3214614989"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Echocardiography":[0],"is":[1,19],"a":[2,33,65,158],"non-invasive":[3],"imaging":[4,18],"modality":[5],"used":[6],"for":[7,69,144,180],"assessing":[8],"cardiac":[9,57],"structure":[10,116],"and":[11,22,96,124,170,176,198],"function.":[12],"A":[13,104],"critical":[14],"challenge":[15],"in":[16,36,147,195],"echocardiographic":[17,148,193],"the":[20,42,53,71,75,109,112,154,186,190],"consistent":[21],"accurate":[23],"visualization":[24],"of":[25,41,55,111,161,192],"anatomical":[26],"structures.":[27],"The":[28,150],"interventricular":[29,72],"septum":[30,43,73],"serves":[31],"as":[32],"key":[34],"landmark":[35],"some":[37],"apical":[38],"views.":[39],"Misalignment":[40],"due":[44],"to":[45,99,188],"probe":[46],"positioning":[47],"or":[48,137],"operator":[49],"expertise":[50],"can":[51],"affect":[52],"reliability":[54,191],"derived":[56],"parameters.":[58],"To":[59],"address":[60],"this":[61],"issue,":[62],"we":[63],"propose":[64],"novel,":[66],"annotation-free":[67],"method":[68,156,184],"tracking":[70,110],"using":[74],"Hough":[76],"Transform":[77],"(HT)":[78],"combined":[79],"with":[80],"traditional":[81],"image":[82],"processing":[83],"techniques.":[84],"Our":[85],"approach":[86,131],"enhances":[87],"septal":[88,115,181],"detection":[89,98],"by":[90],"integrating":[91],"Gaussian":[92],"filtering,":[93],"adaptive":[94],"thresholding,":[95],"edge":[97],"extract":[100],"dominant":[101],"structural":[102],"features.":[103],"histogram-based":[105],"selection":[106],"strategy":[107],"ensures":[108],"most":[113],"stable":[114],"across":[117,165],"multiple":[118],"frames,":[119],"filtering":[120],"out":[121],"transient":[122],"artifacts":[123],"noise.":[125],"Unlike":[126],"deep":[127],"learning-based":[128],"methods,":[129],"our":[130,183],"does":[132],"not":[133],"require":[134],"pre-trained":[135],"models":[136],"extensive":[138],"datasets,":[139,167],"making":[140],"it":[141],"particularly":[142],"suited":[143],"real-time":[145],"applications":[146],"analysis.":[149],"results":[151],"demonstrate":[152],"that":[153],"proposed":[155],"achieves":[157],"high":[159],"level":[160],"accuracy":[162],"(>":[163],"0.88)":[164],"different":[166],"both":[168,196],"public":[169],"proprietary.":[171],"By":[172],"providing":[173],"an":[174],"automated":[175],"computationally":[177],"efficient":[178],"solution":[179],"tracking,":[182],"has":[185],"potential":[187],"enhance":[189],"analyses":[194],"clinical":[197],"research":[199],"settings.":[200]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}