{"id":"https://openalex.org/W2317689312","doi":"https://doi.org/10.1117/12.2217079","title":"3D prostate MR-TRUS non-rigid registration using dual optimization with volume-preserving constraint","display_name":"3D prostate MR-TRUS non-rigid registration using dual optimization with volume-preserving constraint","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2317689312","doi":"https://doi.org/10.1117/12.2217079","mag":"2317689312"},"language":"en","primary_location":{"id":"doi:10.1117/12.2217079","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217079","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":"conference-paper","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/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wu Qiu","raw_affiliation_strings":["Western Univ. (Canada)","Univ. of Calgary (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]},{"raw_affiliation_string":"Univ. of Calgary (Canada)","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023905379","display_name":"Jing Yuan","orcid":"https://orcid.org/0000-0001-8112-3608"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["Western Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004966232","display_name":"Aaron Fenster","orcid":"https://orcid.org/0000-0003-3525-2788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Fenster","raw_affiliation_strings":["Western Univ. (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9784","issue":null,"first_page":"97841P","last_page":"97841P"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9936000108718872,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/constraint","display_name":"Constraint (computer-aided design)","score":0.6112940311431885},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5999159812927246},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5823583602905273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5548641085624695},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5104061961174011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44224196672439575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38972729444503784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2304556965827942},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12750646471977234},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09407299757003784},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07578569650650024}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6112940311431885},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5999159812927246},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5823583602905273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5548641085624695},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5104061961174011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44224196672439575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38972729444503784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2304556965827942},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12750646471977234},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09407299757003784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07578569650650024},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2217079","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217079","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W784778127","https://openalex.org/W1983592655","https://openalex.org/W1989978030","https://openalex.org/W2011088608","https://openalex.org/W2012255096","https://openalex.org/W2028328613","https://openalex.org/W2034161927","https://openalex.org/W2051684526","https://openalex.org/W2057775191","https://openalex.org/W2078344737","https://openalex.org/W2106033751","https://openalex.org/W2118625479","https://openalex.org/W2127412835","https://openalex.org/W2134012543","https://openalex.org/W2142761958","https://openalex.org/W2157814660","https://openalex.org/W3087273884"],"related_works":["https://openalex.org/W2798121181","https://openalex.org/W2016805743","https://openalex.org/W4242592912","https://openalex.org/W435830328","https://openalex.org/W2087896742","https://openalex.org/W1989025965","https://openalex.org/W2317351040","https://openalex.org/W2328676785","https://openalex.org/W2322380964","https://openalex.org/W630305881"],"abstract_inverted_index":{"We":[0,111],"introduce":[1],"an":[2,172,180],"efficient":[3],"and":[4,20,82,116,139,179,189],"novel":[5],"convex":[6,54],"optimization-based":[7],"approach":[8],"to":[9,32,57,163],"the":[10,35,42,60,68,77,95,107,114,123,129,149,153,159,164,167],"challenging":[11],"non-rigid":[12],"registration":[13,85,97,160],"of":[14,37,80,128,176,183,186,191],"3D":[15,43],"prostate":[16,46,109,120],"magnetic":[17],"resonance":[18],"(MR)":[19],"transrectal":[21],"ultrasound":[22],"(TRUS)":[23],"images,":[24],"which":[25],"incorporates":[26],"a":[27,51],"new":[28],"volume":[29],"preserving":[30],"constraint":[31],"essentially":[33],"improve":[34],"accuracy":[36,86,161],"targeting":[38],"suspicious":[39],"regions":[40],"during":[41],"TRUS":[44,117],"guided":[45],"biopsy.":[47],"Especially,":[48],"we":[49],"propose":[50],"fast":[52],"sequential":[53],"optimization":[55],"scheme":[56],"efficiently":[58],"minimize":[59],"employed":[61],"highly":[62],"nonlinear":[63],"image":[64],"fidelity":[65],"function":[66],"using":[67,89,100],"robust":[69],"multi-channel":[70],"modality":[71],"independent":[72],"neighborhood":[73],"descriptor":[74],"(MIND)":[75],"across":[76],"two":[78],"modalities":[79],"MR":[81,115],"TRUS.":[83],"The":[84],"was":[87],"evaluated":[88],"10":[90],"patient":[91],"images":[92,125],"by":[93,170],"calculating":[94],"target":[96],"error":[98],"(TRE)":[99],"manually":[101,118],"identified":[102],"corresponding":[103],"intrinsic":[104],"fiducials":[105],"in":[106,122,126],"whole":[108],"gland.":[110],"also":[112],"compared":[113],"segmented":[119],"surfaces":[121],"registered":[124],"terms":[127],"Dice":[130],"similarity":[131],"coefficient":[132],"(DSC),":[133],"mean":[134,174],"absolute":[135,141],"surface":[136,142],"distance":[137,143],"(MAD),":[138],"maximum":[140],"(MAXD).":[144],"Experimental":[145],"results":[146],"showed":[147],"that":[148],"proposed":[150],"method":[151,165],"with":[152],"introduced":[154],"volume-preserving":[155,168],"prior":[156],"significantly":[157],"improves":[158],"comparing":[162],"without":[166],"constraint,":[169],"yielding":[171],"overall":[173],"TRE":[175],"2:0&plusmn;0:7":[177],"mm,":[178],"average":[181],"DSC":[182],"86:5&plusmn;3:5%,":[184],"MAD":[185],"1:4&plusmn;0:6":[187],"mm":[188],"MAXD":[190],"6:5&plusmn;3:5":[192],"mm.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
