{"id":"https://openalex.org/W1997498399","doi":"https://doi.org/10.1117/12.2006836","title":"Prostate segmentation in 3D TRUS using convex optimization with shape constraint","display_name":"Prostate segmentation in 3D TRUS using convex optimization with shape constraint","publication_year":2013,"publication_date":"2013-03-13","ids":{"openalex":"https://openalex.org/W1997498399","doi":"https://doi.org/10.1117/12.2006836","mag":"1997498399"},"language":"en","primary_location":{"id":"doi:10.1117/12.2006836","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006836","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5030075105","display_name":"Wu Qiu","orcid":"https://orcid.org/0000-0001-7827-8270"},"institutions":[{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wu Qiu","raw_affiliation_strings":["Robarts Research Institute (Canada)","#N##TAB##TAB##TAB##TAB# Robarts Research Institute, Canada#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Robarts Research Institute, Canada#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I4210105758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023905379","display_name":"Jing Yuan","orcid":"https://orcid.org/0000-0001-8112-3608"},"institutions":[{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["Robarts Research Institute (Canada)","#N##TAB##TAB##TAB##TAB# Robarts Research Institute, Canada#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Robarts Research Institute, Canada#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I4210105758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044454144","display_name":"Eranga Ukwatta","orcid":"https://orcid.org/0000-0003-0180-4716"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eranga Ukwatta","raw_affiliation_strings":["Robarts Research Institute (Canada)","The Univ. of Western Ontario (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066478302","display_name":"David Tessier","orcid":"https://orcid.org/0000-0002-9072-4621"},"institutions":[{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David Tessier","raw_affiliation_strings":["Robarts Research Institute (Canada)","#N##TAB##TAB##TAB##TAB# Robarts Research Institute, Canada#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# Robarts Research Institute, Canada#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I4210105758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004966232","display_name":"Aaron Fenster","orcid":"https://orcid.org/0000-0003-3525-2788"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aaron Fenster","raw_affiliation_strings":["Robarts Research Institute (Canada)","The Univ. of Western Ontario (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0582,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76302632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8669","issue":null,"first_page":"866943","last_page":"866943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9812999963760376,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9550999999046326,"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/constraint","display_name":"Constraint (computer-aided design)","score":0.6232740879058838},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5755898952484131},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5288929343223572},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5252061486244202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5039181113243103},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4743424952030182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4693782329559326},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.43707436323165894},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42452943325042725},{"id":"https://openalex.org/keywords/constrained-optimization-problem","display_name":"Constrained optimization problem","score":0.4243311583995819},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.41114598512649536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29704660177230835},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.2465393841266632},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23732486367225647},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20305010676383972},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1299053132534027},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.0798749029636383}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6232740879058838},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5755898952484131},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5288929343223572},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5252061486244202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5039181113243103},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4743424952030182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4693782329559326},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.43707436323165894},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42452943325042725},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.4243311583995819},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.41114598512649536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29704660177230835},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2465393841266632},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23732486367225647},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20305010676383972},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1299053132534027},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0798749029636383},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2006836","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006836","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W194567576","https://openalex.org/W1531336152","https://openalex.org/W1994539652","https://openalex.org/W2016302913","https://openalex.org/W2031113857","https://openalex.org/W2031120324","https://openalex.org/W2043253481","https://openalex.org/W2058973101","https://openalex.org/W2079690285","https://openalex.org/W2096090700","https://openalex.org/W2098979973","https://openalex.org/W2118020555","https://openalex.org/W2118625479","https://openalex.org/W2134491911","https://openalex.org/W2135779729","https://openalex.org/W2143830140","https://openalex.org/W2145179397","https://openalex.org/W2148946811","https://openalex.org/W2158734599","https://openalex.org/W2160201029","https://openalex.org/W2167654583","https://openalex.org/W2172011289","https://openalex.org/W2915543933"],"related_works":["https://openalex.org/W2807251790","https://openalex.org/W2799406489","https://openalex.org/W3153752017","https://openalex.org/W2349580982","https://openalex.org/W4323525939","https://openalex.org/W4296622583","https://openalex.org/W1983388990","https://openalex.org/W3154369540","https://openalex.org/W212237665","https://openalex.org/W2135273954"],"abstract_inverted_index":{"An":[0],"efficient":[1],"and":[2,19,58,95,99,211,244,251],"accurate":[3],"segmentation":[4,63,71,97,220],"of":[5,21,50,55,68,75,195,201,207,214,241],"3D":[6,22,43,62,79,181],"end-firing":[7],"transrectal":[8],"ultrasound":[9],"(TRUS)":[10],"images":[11,185],"plays":[12],"a":[13,32,66,108,135,155,170,174,193,199,205,212],"central":[14],"role":[15],"in":[16,229],"the":[17,51,60,78,87,118,125,142,164,188,223,239,248],"planning":[18],"treatment":[20],"TRUS":[23,44,80,182],"guided":[24],"prostate":[25,40,56,121,184],"biopsy.":[26],"In":[27,82],"this":[28,84],"paper,":[29],"we":[30,106],"propose":[31],"novel":[33],"convex":[34,110],"optimization":[35,111],"based":[36,112,254],"approach":[37,190],"to":[38,65,116,124,140,144,160,172,231,247],"delineate":[39],"boundaries":[41],"from":[42],"images.":[45,81],"The":[46,129,218],"technique":[47],"makes":[48],"use":[49],"approximate":[52],"rotational":[53],"symmetry":[54],"shapes":[57],"reduces":[59],"original":[61],"problem":[64],"sequence":[67],"simple":[69],"2D":[70,103,119],"sub-problems":[72],"by":[73],"means":[74],"rotationally":[76],"reslicing":[77],"practice,":[83],"significantly":[85],"decreases":[86],"computational":[88],"load,":[89],"facilitates":[90],"introducing":[91],"learned":[92],"shape":[93,127],"information":[94],"improves":[96],"efficiency":[98,243],"accuracy.":[100],"For":[101],"each":[102,150],"resliced":[104],"frame,":[105],"introduce":[107],"new":[109],"contour":[113,131,143,253],"evolution":[114,132],"method":[115,133,237],"locate":[117],"slicewise":[120],"boundary":[122],"subject":[123],"additional":[126],"constraint.":[128],"proposed":[130,165,189,236],"provides":[134],"fully":[136],"time":[137,158,221],"implicit":[138],"scheme":[139],"move":[141],"its":[145],"globally":[146],"optimal":[147],"position":[148],"at":[149],"discrete":[151],"time,":[152],"which":[153],"allows":[154],"large":[156],"evolving":[157],"step-size":[159],"accelerate":[161],"convergence.":[162],"Moreover,":[163],"algorithm":[166],"is":[167],"implemented":[168],"on":[169,179],"GPU":[171],"achieve":[173],"high":[175],"performance.":[176],"Quantitative":[177],"validations":[178],"twenty":[180],"patient":[183],"demonstrate":[186],"that":[187],"can":[191],"obtain":[192],"DSC":[194],"93:7":[196],"±":[197,203,209,216,227],"2:5%,":[198],"sensitivity":[200],"91:2":[202],"3:1%,":[204],"MAD":[206],"1:37":[208],"0:3mm,":[210],"MAXD":[213],"3:02":[215],"0:44mm.":[217],"mean":[219],"for":[222,233],"dataset":[224],"was":[225],"18:3":[226],"2:5s,":[228],"addition":[230],"25s":[232],"initialization.":[234],"Our":[235],"exhibits":[238],"advantages":[240],"accuracy,":[242],"robustness":[245],"compared":[246],"level":[249],"set":[250],"active":[252],"methods.":[255]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}