{"id":"https://openalex.org/W2005171018","doi":"https://doi.org/10.1117/12.2043300","title":"Prostate segmentation in MRI using fused T2-weighted and elastography images","display_name":"Prostate segmentation in MRI using fused T2-weighted and elastography images","publication_year":2014,"publication_date":"2014-03-21","ids":{"openalex":"https://openalex.org/W2005171018","doi":"https://doi.org/10.1117/12.2043300","mag":"2005171018"},"language":"en","primary_location":{"id":"doi:10.1117/12.2043300","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2043300","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/A5102790803","display_name":"Guy Nir","orcid":"https://orcid.org/0000-0002-8688-5270"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Guy Nir","raw_affiliation_strings":["The Univ. of British Columbia (Canada)","the University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"the University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029994125","display_name":"Ramin S. Sahebjavaher","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ramin S. Sahebjavaher","raw_affiliation_strings":["The Univ. of British Columbia (Canada)","the University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"the University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103543556","display_name":"Ali Baghani","orcid":"https://orcid.org/0000-0002-8423-970X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Baghani","raw_affiliation_strings":["Ultrasonix Medical Corp. (Canada)"],"affiliations":[{"raw_affiliation_string":"Ultrasonix Medical Corp. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066891388","display_name":"Ralph Sinkus","orcid":"https://orcid.org/0000-0002-6093-1654"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ralph Sinkus","raw_affiliation_strings":["King's College London (United Kingdom)","King's College London UNITED KINGDOM"],"affiliations":[{"raw_affiliation_string":"King's College London (United Kingdom)","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"King's College London UNITED KINGDOM","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028375560","display_name":"Septimiu E. Salcudean","orcid":"https://orcid.org/0000-0001-8826-8025"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Septimiu E. Salcudean","raw_affiliation_strings":["The Univ. of British Columbia (Canada)","the University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"The Univ. of British Columbia (Canada)","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"the University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102790803"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07867332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9034","issue":null,"first_page":"90340C","last_page":"90340C"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9865000247955322,"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":0.9778000116348267,"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/contouring","display_name":"Contouring","score":0.8070617914199829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704108476638794},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6514157056808472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6247231364250183},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5807971954345703},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.569713294506073},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5154772400856018},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.469157338142395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44096267223358154},{"id":"https://openalex.org/keywords/magnetic-resonance-elastography","display_name":"Magnetic resonance elastography","score":0.43774744868278503},{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.4295371174812317},{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.3533768057823181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27910470962524414},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22726410627365112},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.1775520145893097},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15813297033309937},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09232550859451294}],"concepts":[{"id":"https://openalex.org/C2779104521","wikidata":"https://www.wikidata.org/wiki/Q23058469","display_name":"Contouring","level":2,"score":0.8070617914199829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704108476638794},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6514157056808472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247231364250183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5807971954345703},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.569713294506073},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5154772400856018},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.469157338142395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44096267223358154},{"id":"https://openalex.org/C2779124084","wikidata":"https://www.wikidata.org/wiki/Q6731597","display_name":"Magnetic resonance elastography","level":4,"score":0.43774744868278503},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.4295371174812317},{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.3533768057823181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27910470962524414},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22726410627365112},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.1775520145893097},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15813297033309937},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09232550859451294},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2043300","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2043300","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":[{"id":"https://metadata.un.org/sdg/3","score":0.8100000023841858,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319885","display_name":"British Columbia Innovation Council","ror":"https://ror.org/05n22dr57"},{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1564621636","https://openalex.org/W1606460608","https://openalex.org/W1991113069","https://openalex.org/W2026786928","https://openalex.org/W2083039650","https://openalex.org/W2104095591","https://openalex.org/W2109011174","https://openalex.org/W2116040950","https://openalex.org/W2141404119","https://openalex.org/W2141787796","https://openalex.org/W2143620145","https://openalex.org/W2144585946","https://openalex.org/W2147427282","https://openalex.org/W2147484997","https://openalex.org/W2149832588","https://openalex.org/W3211330693","https://openalex.org/W6633661576","https://openalex.org/W6636307640","https://openalex.org/W6676569587","https://openalex.org/W6680984722","https://openalex.org/W6681155703","https://openalex.org/W6682162758"],"related_works":["https://openalex.org/W1964359360","https://openalex.org/W2895174236","https://openalex.org/W3101514091","https://openalex.org/W4387357496","https://openalex.org/W2350108069","https://openalex.org/W1968096881","https://openalex.org/W4401727964","https://openalex.org/W1969583173","https://openalex.org/W2416613095","https://openalex.org/W3189128635"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,18,31,44,59,76,96,106,160,171],"the":[2,32,45,56,60,63,71,77,94,100,103,107,149,169,172],"prostate":[3,19,23,46],"in":[4,47,99,139],"medical":[5],"imaging":[6,78],"is":[7,112,124,137,154,166,175],"a":[8,39,83,157],"challenging":[9],"and":[10,16,29,62,73,102,114,136,151,168],"important":[11],"task":[12],"for":[13,41],"surgical":[14],"planning":[15],"delivery":[17],"cancer":[20],"treatment.":[21],"Automatic":[22],"segmentation":[24,43,173],"can":[25],"improve":[26],"speed,":[27],"reproducibility":[28],"consistency":[30],"process.":[33],"In":[34],"this":[35],"work,":[36],"we":[37],"propose":[38],"method":[40,54,111],"automatic":[42,150],"magnetic":[48],"resonance":[49],"elastography":[50],"(MRE)":[51],"images.":[52],"The":[53,110,121,144,162],"utilizes":[55],"complementary":[57],"property":[58],"elastogram":[61,101],"corresponding":[64],"T2-weighted":[65,108],"image,":[66],"which":[67],"are":[68],"obtained":[69],"from":[70,131],"phase":[72],"magnitude":[74],"components":[75],"signal,":[79],"respectively.":[80],"It":[81],"follows":[82],"variational":[84],"approach":[85],"to":[86],"propagate":[87],"an":[88],"active":[89],"contour":[90],"model":[91],"based":[92],"on":[93,126],"combination":[95],"region":[97],"statistics":[98],"edge":[104],"map":[105],"image.":[109],"fast":[113],"does":[115],"not":[116],"require":[117],"prior":[118],"shape":[119],"information.":[120],"proposed":[122],"algorithm":[123],"tested":[125],"35":[127],"clinical":[128],"image":[129],"pairs":[130],"five":[132],"MRE":[133],"data":[134],"sets,":[135],"evaluated":[138],"comparison":[140],"with":[141,156],"manual":[142,152],"contouring.":[143],"mean":[145],"absolute":[146],"distance":[147,159],"between":[148],"contours":[153],"1.8mm,":[155],"maximum":[158],"5.6mm.":[161],"relative":[163],"area":[164],"error":[165],"7.6%,":[167],"duration":[170],"process":[174],"2s":[176],"per":[177],"slice.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
