{"id":"https://openalex.org/W1527431889","doi":"https://doi.org/10.1109/isbi.2015.7164184","title":"Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention","display_name":"Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1527431889","doi":"https://doi.org/10.1109/isbi.2015.7164184","mag":"1527431889","pmid":"https://pubmed.ncbi.nlm.nih.gov/26405508"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7164184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7164184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5083553196","display_name":"John A. Onofrey","orcid":"https://orcid.org/0000-0002-9432-0448"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John A. Onofrey","raw_affiliation_strings":["Department of Diagnostic Radiology, Yale University, New Haven, CT, USA","Departments of Diagnostic Radiology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Departments of Diagnostic Radiology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078494006","display_name":"Lawrence H. Staib","orcid":"https://orcid.org/0000-0002-9516-5136"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence H. Staib","raw_affiliation_strings":["Department of Diagnostic Radiology, Yale University, New Haven, CT, USA ; Department of Biomedical Engineering, Yale University, New Haven, CT, USA ; Department of Electrical Engineering, Yale University, New Haven, CT, USA","Biomedical Engineering","Electrical Engineering, Yale University, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Yale University, New Haven, CT, USA ; Department of Biomedical Engineering, Yale University, New Haven, CT, USA ; Department of Electrical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Biomedical Engineering","institution_ids":[]},{"raw_affiliation_string":"Electrical Engineering, Yale University, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103745980","display_name":"Saradwata Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145712","display_name":"Applied Design Labs (United States)","ror":"https://ror.org/0439dh211","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saradwata Sarkar","raw_affiliation_strings":["Department of Eigen, Grass Valley, CA, USA","Eigen, Grass Valley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Eigen, Grass Valley, CA, USA","institution_ids":["https://openalex.org/I4210145712"]},{"raw_affiliation_string":"Eigen, Grass Valley, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102921911","display_name":"Rajesh Venkataraman","orcid":"https://orcid.org/0009-0001-2554-4130"},"institutions":[{"id":"https://openalex.org/I4210145712","display_name":"Applied Design Labs (United States)","ror":"https://ror.org/0439dh211","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajesh Venkataraman","raw_affiliation_strings":["Department of Eigen, Grass Valley, CA, USA","Eigen, Grass Valley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Eigen, Grass Valley, CA, USA","institution_ids":["https://openalex.org/I4210145712"]},{"raw_affiliation_string":"Eigen, Grass Valley, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026211955","display_name":"Xenophon Papademetris","orcid":"https://orcid.org/0000-0001-7711-3335"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xenophon Papademetris","raw_affiliation_strings":["Department of Diagnostic Radiology, Yale University, New Haven, CT, USA ; Department of Biomedical Engineering, Yale University, New Haven, CT, USA","Biomedical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Yale University, New Haven, CT, USA ; Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Biomedical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6268,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95473954,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2879","issue":null,"first_page":"1592","last_page":"1595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.994700014591217,"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":0.9846000075340271,"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/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.7408721446990967},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.7242785692214966},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6194267272949219},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.5838627219200134},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5607220530509949},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.5141122937202454},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.509206235408783},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.48423266410827637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4639894962310791},{"id":"https://openalex.org/keywords/prostate-biopsy","display_name":"Prostate biopsy","score":0.43022122979164124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3908635973930359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3726617097854614},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2722404897212982},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1334698498249054}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.7408721446990967},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.7242785692214966},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6194267272949219},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.5838627219200134},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5607220530509949},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5141122937202454},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.509206235408783},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.48423266410827637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4639894962310791},{"id":"https://openalex.org/C2781217009","wikidata":"https://www.wikidata.org/wiki/Q4086927","display_name":"Prostate biopsy","level":4,"score":0.43022122979164124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3908635973930359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3726617097854614},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2722404897212982},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1334698498249054},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2015.7164184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7164184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:26405508","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26405508","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:3552018","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4578171","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G4055540376","display_name":null,"funder_award_id":"R41 CA186414","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W95913851","https://openalex.org/W303948879","https://openalex.org/W1604152368","https://openalex.org/W2008437871","https://openalex.org/W2016302913","https://openalex.org/W2057775191","https://openalex.org/W2064130501","https://openalex.org/W2072513344","https://openalex.org/W2086538808","https://openalex.org/W2113576511","https://openalex.org/W2124539070","https://openalex.org/W2128907102","https://openalex.org/W2143620145","https://openalex.org/W2167014760","https://openalex.org/W2171490473","https://openalex.org/W4246096830","https://openalex.org/W6636083083","https://openalex.org/W6676524165"],"related_works":["https://openalex.org/W2088520467","https://openalex.org/W2075763133","https://openalex.org/W2376423713","https://openalex.org/W1583600832","https://openalex.org/W2566665866","https://openalex.org/W2358184952","https://openalex.org/W2936837947","https://openalex.org/W3115500073","https://openalex.org/W3096156950","https://openalex.org/W2414890839"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"and":[3,16,35,71,105],"validates":[4],"a":[5,61,113,124,133],"low-dimensional":[6],"nonrigid":[7,90,116],"registration":[8,117],"method":[9],"for":[10,85],"fusing":[11],"magnetic":[12],"resonance":[13],"imaging":[14,78],"(MRI)":[15],"trans-rectal":[17],"ultrasound":[18],"(TRUS)":[19],"in":[20,43,45,101],"image-guided":[21],"prostate":[22,56,100],"biopsy.":[23],"Prostate":[24],"cancer":[25,34],"is":[26,60],"one":[27],"of":[28,33,40,63,83,98,128],"the":[29,36,46,99,103],"most":[30],"prevalent":[31],"forms":[32],"second":[37],"leading":[38],"cause":[39],"cancer-related":[41],"death":[42],"men":[44],"United":[47],"States.":[48],"Conventional":[49],"clinical":[50,134],"practice":[51],"uses":[52],"TRUS":[53,77,106],"to":[54,79,119],"guide":[55],"biopsies":[57],"when":[58],"there":[59],"suspicion":[62],"cancer.":[64],"Pre-procedural":[65],"MRI":[66,104],"information":[67],"can":[68],"reveal":[69],"lesions":[70,84],"may":[72],"be":[73],"fused":[74],"with":[75],"intra-procedure":[76],"provide":[80],"patient-specific,":[81],"localization":[82],"targeting.":[86],"The":[87],"state-of-the-art":[88],"MRI-TRUS":[89,120],"image":[91],"fusion":[92,121],"process":[93],"relies":[94],"upon":[95],"semi-automated":[96],"segmentation":[97],"both":[102],"images.":[107],"In":[108],"this":[109],"paper,":[110],"we":[111],"develop":[112],"fast,":[114],"automated":[115],"approach":[118],"based":[122],"on":[123],"statistical":[125],"deformation":[126],"model":[127],"intra-procedural":[129],"deformations":[130],"derived":[131],"from":[132],"sample.":[135]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}