{"id":"https://openalex.org/W2165975630","doi":"https://doi.org/10.1109/isbi.2012.6235714","title":"A model-based registration approach of preoperative MRI with 3D ultrasound of the liver for Interventional guidance procedures","display_name":"A model-based registration approach of preoperative MRI with 3D ultrasound of the liver for Interventional guidance procedures","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2165975630","doi":"https://doi.org/10.1109/isbi.2012.6235714","mag":"2165975630"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235714","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":true,"oa_status":"green","oa_url":"http://resolver.tudelft.nl/uuid:c640e0b1-d86e-491f-8c74-da0a1157bb04","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039187492","display_name":"Samuel Kadoury","orcid":"https://orcid.org/0000-0002-3048-4291"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Kadoury","raw_affiliation_strings":["Philips Research North America, Briarcliff Manor, NY, USA"],"affiliations":[{"raw_affiliation_string":"Philips Research North America, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063731421","display_name":"Lyubomir Zagorchev","orcid":"https://orcid.org/0000-0001-6239-9641"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Zagorchev","raw_affiliation_strings":["Philips Research North America, Briarcliff Manor, NY, USA"],"affiliations":[{"raw_affiliation_string":"Philips Research North America, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026470145","display_name":"Bradford J. Wood","orcid":"https://orcid.org/0000-0002-4297-0051"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. J. Wood","raw_affiliation_strings":["Center of Interventional Oncology, National Institutes of Health DHHS, Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center of Interventional Oncology, National Institutes of Health DHHS, Bethesda, MD, USA","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047017840","display_name":"Aradhana M. Venkatesan","orcid":"https://orcid.org/0000-0002-5033-0820"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Venkatesan","raw_affiliation_strings":["Center of Interventional Oncology, National Institutes of Health DHHS, Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center of Interventional Oncology, National Institutes of Health DHHS, Bethesda, MD, USA","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111430320","display_name":"Juergen Weese","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162505","display_name":"Philips (Germany)","ror":"https://ror.org/05san5604","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210162505"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Weese","raw_affiliation_strings":["Philips Research Europe, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Philips Research Europe, Hamburg, Germany","institution_ids":["https://openalex.org/I4210162505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003386294","display_name":"James Jago","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Jago","raw_affiliation_strings":["Philips Healthcare, Bothell, WA, USA"],"affiliations":[{"raw_affiliation_string":"Philips Healthcare, Bothell, WA, USA","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015221922","display_name":"Jochen Kruecker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Kruecker","raw_affiliation_strings":["Philips Research North America, Briarcliff Manor, NY, USA"],"affiliations":[{"raw_affiliation_string":"Philips Research North America, Briarcliff Manor, NY, USA","institution_ids":["https://openalex.org/I4210131230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039187492"],"corresponding_institution_ids":["https://openalex.org/I4210131230"],"apc_list":null,"apc_paid":null,"fwci":0.5551,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71249255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"952","last_page":"955"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996399998664856,"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/robustness","display_name":"Robustness (evolution)","score":0.713835597038269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6880665421485901},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.684417724609375},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.676166296005249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527895331382751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6369084119796753},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6188832521438599},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4980661869049072},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.474616676568985},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4679471552371979},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.43632203340530396},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4251607060432434},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4204620122909546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36036574840545654},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.27906596660614014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23461037874221802},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15305647253990173}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.713835597038269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6880665421485901},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.684417724609375},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.676166296005249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527895331382751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6369084119796753},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6188832521438599},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4980661869049072},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.474616676568985},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4679471552371979},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.43632203340530396},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4251607060432434},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4204620122909546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36036574840545654},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.27906596660614014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23461037874221802},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15305647253990173},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2012.6235714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235714","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"},{"id":"pmh:philips:oai:tudelft.nl:uuid:c640e0b1-d86e-491f-8c74-da0a1157bb04","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:c640e0b1-d86e-491f-8c74-da0a1157bb04","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:philips:oai:tudelft.nl:uuid:c640e0b1-d86e-491f-8c74-da0a1157bb04","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:c640e0b1-d86e-491f-8c74-da0a1157bb04","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencepaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1585757362","https://openalex.org/W2069574917","https://openalex.org/W2112773824","https://openalex.org/W2135420923","https://openalex.org/W2135450288","https://openalex.org/W2135981539","https://openalex.org/W2154226209","https://openalex.org/W2158479150","https://openalex.org/W2171157356","https://openalex.org/W2171963641","https://openalex.org/W6676728604"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W4243161226","https://openalex.org/W2052388267","https://openalex.org/W2471562626","https://openalex.org/W2461863667","https://openalex.org/W2295804706","https://openalex.org/W3168515805"],"abstract_inverted_index":{"In":[0],"this":[1,27,63],"paper,":[2],"we":[3],"present":[4],"a":[5,46,65,93,108,120,125,141,146,162],"novel":[6],"approach":[7,48],"to":[8,30,82,107],"rigidly":[9,50],"register":[10],"intraoperative":[11],"electromagnetically":[12],"tracked":[13],"ultrasound":[14],"(US)":[15],"with":[16,124,140,145,156,168],"pre-operative":[17],"contrast-enhanced":[18],"magnetic":[19],"resonance":[20],"(MR)":[21],"images.":[22],"The":[23,111,150,172],"clinical":[24,203],"rationale":[25],"for":[26,201],"work":[28],"is":[29,80,114,138,198],"allow":[31],"accurate":[32,187],"needle":[33],"placement":[34],"during":[35],"thermal":[36],"ablations":[37],"of":[38,73,133,165,176],"liver":[39,53,85,112],"metastases":[40],"using":[41],"multimodal":[42,59],"imaging.":[43],"We":[44],"adopt":[45],"model-based":[47],"that":[49],"matches":[51],"segmented":[52],"surface":[54,68,86,135],"shapes":[55],"obtained":[56],"from":[57,87,116],"the":[58,71,84,88,101,105,177],"image":[60],"volumes.":[61],"Towards":[62],"end,":[64],"shape-constrained":[66],"deformable":[67,75],"model":[69,106,153],"combining":[70],"strengths":[72],"both":[74],"and":[76,103,159,174,194,197],"active":[77],"shape":[78,95],"models":[79],"used":[81],"segment":[83],"MR":[89,151],"scan.":[90],"It":[91],"incorporates":[92],"priori":[94],"information":[96],"while":[97],"external":[98],"forces":[99],"guide":[100],"deformation":[102],"adapts":[104],"target":[109],"structure.":[110],"boundary":[113],"extracted":[115],"US":[117],"by":[118,181],"merging":[119],"dynamic":[121],"region-growing":[122],"method":[123,178],"graph-based":[126],"segmentation":[127,152],"framework":[128],"anchored":[129],"on":[130,161],"adaptive":[131],"priors":[132],"neighboring":[134],"points.":[136],"Registration":[137],"performed":[139],"weighted":[142],"ICP":[143],"algorithm":[144],"physiological":[147],"penalizing":[148],"term.":[149],"was":[154],"trained":[155],"30":[157],"datasets":[158],"validated":[160],"separate":[163],"cohort":[164],"10":[166],"patients":[167],"corresponding":[169],"ground":[170],"truth.":[171],"accuracy":[173],"robustness":[175],"were":[179],"assessed":[180],"registering":[182],"four":[183],"US/MR":[184],"datasets,":[185],"yielding":[186],"landmark":[188],"registration":[189],"errors":[190],"(3.7":[191],"\u00b1":[192],"0.69mm)":[193],"high":[195],"robustness,":[196],"thus":[199],"acceptable":[200],"radiofrequency":[202],"applications.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}