{"id":"https://openalex.org/W2524194278","doi":"https://doi.org/10.1007/978-3-319-46726-9_34","title":"Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student\u2019s t-Distributions","display_name":"Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student\u2019s t-Distributions","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2524194278","doi":"https://doi.org/10.1007/978-3-319-46726-9_34","mag":"2524194278"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46726-9_34","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-46726-9_34","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059834153","display_name":"Serkan \u00c7imen","orcid":"https://orcid.org/0000-0003-1632-4926"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Serkan \u00c7imen","raw_affiliation_strings":["Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","institution_ids":[]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026149680","display_name":"Ali Gooya","orcid":"https://orcid.org/0000-0001-5135-4800"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Gooya","raw_affiliation_strings":["Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","institution_ids":[]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073918042","display_name":"Nishant Ravikumar","orcid":"https://orcid.org/0000-0003-0134-107X"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nishant Ravikumar","raw_affiliation_strings":["Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","Department of Mechanical Engineering, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","institution_ids":[]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055587668","display_name":"Zeike A. Taylor","orcid":"https://orcid.org/0000-0002-0718-1663"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zeike A. Taylor","raw_affiliation_strings":["Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","Department of Mechanical Engineering, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","institution_ids":[]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049192404","display_name":"Alejandro F. Frangi","orcid":"https://orcid.org/0000-0002-2675-528X"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alejandro F. Frangi","raw_affiliation_strings":["Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Center for Computational Imaging and Simulation Technologies in Biomedicine, Sheffield, UK","institution_ids":[]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059834153"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.556,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8347725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"291","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/robustness","display_name":"Robustness (evolution)","score":0.7831867933273315},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7026779055595398},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6040084362030029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5933356881141663},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5764756202697754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5587037205696106},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5295549035072327},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.5199257731437683},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.5010578632354736},{"id":"https://openalex.org/keywords/coronary-arteries","display_name":"Coronary arteries","score":0.48150429129600525},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.46085280179977417},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44012659788131714},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4130250811576843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40696096420288086},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3298148512840271},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2881947159767151},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.25769665837287903},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.20118945837020874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1831737458705902},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09773886203765869}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7831867933273315},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7026779055595398},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6040084362030029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933356881141663},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5764756202697754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587037205696106},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5295549035072327},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.5199257731437683},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.5010578632354736},{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.48150429129600525},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.46085280179977417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44012659788131714},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4130250811576843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40696096420288086},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3298148512840271},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2881947159767151},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.25769665837287903},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.20118945837020874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1831737458705902},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09773886203765869},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-46726-9_34","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:eprints.gla.ac.uk:278029","is_oa":false,"landing_page_url":"https://eprints.gla.ac.uk/278029/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Sections"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/0346c905-3c89-47c3-89d9-e9cda1b8dfeb","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/0346c905-3c89-47c3-89d9-e9cda1b8dfeb","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\u00c7imen, S, Gooya, A, Ravikumar, N, Taylor, Z A & Frangi, A F 2016, Reconstruction of coronary artery centrelines from X-ray angiography using a mixture of student\u2019s t-distributions. in L Joskowicz, M R Sabuncu, W Wells, G Unal & S Ourselin (eds), Medical Image Computing and Computer-Assisted Intervention : MICCAI 2016 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9902 LNCS, Springer-Verlag Italia, pp. 291-299. https://doi.org/10.1007/978-3-319-46726-9_34","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-46726-9_34","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1965101186","https://openalex.org/W1983281817","https://openalex.org/W1988615825","https://openalex.org/W2033819227","https://openalex.org/W2034486968","https://openalex.org/W2048486843","https://openalex.org/W2081427671","https://openalex.org/W2129764136","https://openalex.org/W2137971377","https://openalex.org/W2165023525","https://openalex.org/W2209124607","https://openalex.org/W2295244092"],"related_works":["https://openalex.org/W2417440389","https://openalex.org/W4385556839","https://openalex.org/W2734382758","https://openalex.org/W4378746257","https://openalex.org/W2109481748","https://openalex.org/W2381719890","https://openalex.org/W2144778520","https://openalex.org/W2330365033","https://openalex.org/W2128367053","https://openalex.org/W1551815774"],"abstract_inverted_index":{"Three-dimensional":[0],"reconstructions":[1],"of":[2,8,11,20,75,86,95,117,121],"coronary":[3,31,51,67],"arteries":[4,96],"can":[5,143],"overcome":[6],"some":[7],"the":[9,79,87,92,106,111,118,140],"limitations":[10],"2D":[12,30,93,98,112],"X-ray":[13,57,99,133],"angiography,":[14],"namely":[15],"artery":[16,32,52,68],"overlap/foreshortening":[17],"and":[18,34,78,131,147],"lack":[19],"depth":[21],"information.":[22],"Model-based":[23],"arterial":[24],"reconstruction":[25,80,126],"algorithms":[26],"usually":[27],"rely":[28],"on":[29,60],"segmentations":[33,94,113],"require":[35],"good":[36],"robustness":[37,104,120],"to":[38,49],"outliers.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45,61,73],"novel":[46],"probabilistic":[47,62],"method":[48,102,142],"reconstruct":[50],"centrelines":[53,69],"from":[54,97],"retrospectively":[55],"gated":[56],"images":[58],"based":[59],"mixture":[63,74,88],"model.":[64],"Specifically,":[65],"3D":[66],"are":[70],"described":[71],"by":[72,114],"Student\u2019s":[76],"t-distributions,":[77],"is":[81],"formulated":[82],"as":[83],"maximum-likelihood":[84],"estimation":[85],"model":[89],"parameters,":[90],"given":[91],"images.":[100],"Our":[101],"provides":[103],"against":[105],"erroneously":[107],"segmented":[108],"parts":[109],"in":[110],"taking":[115],"advantage":[116],"inherent":[119],"t-distributions.":[122],"We":[123],"validate":[124],"our":[125],"results":[127,137],"using":[128],"synthetic":[129],"phantom":[130],"clinical":[132],"angiography":[134],"data.":[135,150],"The":[136],"show":[138],"that":[139],"proposed":[141],"cope":[144],"with":[145],"imperfect":[146],"noisy":[148],"segmentation":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}