{"id":"https://openalex.org/W4362604051","doi":"https://doi.org/10.1117/12.2654371","title":"Distance map supervised landmark localization for MR-TRUS registration","display_name":"Distance map supervised landmark localization for MR-TRUS registration","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362604051","doi":"https://doi.org/10.1117/12.2654371"},"language":"en","primary_location":{"id":"doi:10.1117/12.2654371","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Image Processing","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/A5064618152","display_name":"Xinrui Song","orcid":"https://orcid.org/0000-0001-5570-1056"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinrui Song","raw_affiliation_strings":["Rensselaer Polytechnic Institute (United States)"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute (United States)","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057836774","display_name":"Xuanang Xu","orcid":"https://orcid.org/0000-0002-6045-8457"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuanang Xu","raw_affiliation_strings":["Rensselaer Polytechnic Institute (United States)"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute (United States)","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604665","display_name":"Sheng Xu","orcid":"https://orcid.org/0000-0002-6507-9122"},"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":"Sheng Xu","raw_affiliation_strings":["National Institutes of Health (United States)"],"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022455023","display_name":"Bar\u0131\u015f T\u00fcrkbey","orcid":"https://orcid.org/0000-0003-0853-6494"},"institutions":[{"id":"https://openalex.org/I4210140884","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884"]},{"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":"Baris Turkbey","raw_affiliation_strings":["National Cancer Institute, National Institutes of Health (United States)"],"affiliations":[{"raw_affiliation_string":"National Cancer Institute, National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238","https://openalex.org/I4210140884"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014017269","display_name":"Thomas Sanford","orcid":null},"institutions":[{"id":"https://openalex.org/I20388574","display_name":"SUNY Upstate Medical University","ror":"https://ror.org/040kfrw16","country_code":"US","type":"education","lineage":["https://openalex.org/I20388574"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Sanford","raw_affiliation_strings":["SUNY Upstate Medical Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"SUNY Upstate Medical Univ. (United States)","institution_ids":["https://openalex.org/I20388574"]}]},{"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":"Bradford J. Wood","raw_affiliation_strings":["National Institutes of Health (United States)"],"affiliations":[{"raw_affiliation_string":"National Institutes of Health (United States)","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054075262","display_name":"Pingkun Yan","orcid":"https://orcid.org/0000-0002-9779-2141"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pingkun Yan","raw_affiliation_strings":["Rensselaer Polytechnic Institute (United States)"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute (United States)","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5064618152"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.8824,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79527103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9958999752998352,"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":0.9851999878883362,"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/landmark","display_name":"Landmark","score":0.934180498123169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7043746113777161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.679821252822876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6621165871620178},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6030409336090088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35851407051086426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12662994861602783}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.934180498123169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7043746113777161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.679821252822876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621165871620178},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6030409336090088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35851407051086426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12662994861602783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2654371","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2128019145","https://openalex.org/W2134012543","https://openalex.org/W2134560790","https://openalex.org/W2808034017","https://openalex.org/W2816936748","https://openalex.org/W2903819949","https://openalex.org/W2963915229","https://openalex.org/W3046340864","https://openalex.org/W3099933016","https://openalex.org/W4200409436","https://openalex.org/W4226318585","https://openalex.org/W4295129660","https://openalex.org/W6631190155","https://openalex.org/W6811200531"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Image-guided":[0],"interventional":[1],"procedures":[2],"often":[3],"require":[4],"registering":[5],"multi-modal":[6],"images":[7,96],"to":[8,31,75,90,114,130,180,222,234,257,288,296,303,316,347,354,371,384],"visualize":[9],"and":[10,81,150,195,209,324,374],"analyze":[11],"complementary":[12],"information.":[13],"For":[14,338],"example,":[15],"prostate":[16,302],"cancer":[17],"biopsy":[18],"benefits":[19],"from":[20,99,189,254,332],"fusing":[21],"transrectal":[22],"ultrasound":[23],"(TRUS)":[24],"imaging":[25,30],"with":[26,172,240],"magnetic":[27],"resonance":[28],"(MR)":[29],"optimize":[32],"targeted":[33],"biopsy.":[34],"However,":[35,247],"cross-modal":[36],"image":[37,52,100,193,307],"registration":[38,117,166,174,239,330,396],"is":[39,44,168,178,251,285,364],"a":[40,71,88,111,249,272,312,319,345,356,398],"challenging":[41],"task.":[42],"This":[43,154],"especially":[45],"true":[46],"when":[47],"the":[48,63,77,92,116,160,185,202,207,210,224,258,299,305,328,333,349,361,381,386,392],"appearance":[49],"of":[50,126,143,156,162,184,260,271,301,321,335,342,360,403],"two":[51],"modalities":[53,194],"are":[54,201],"vastly":[55],"different.":[56],"Researchers":[57],"have":[58],"seeked":[59],"other":[60,289],"methods":[61,221],"bridge":[62],"modality":[64],"difference.":[65],"Haskins":[66],"et":[67,103,120,214,231,267],"al.":[68,215],"1":[69],"designed":[70,277],"deep":[72,313],"similarity":[73,225],"metric":[74],"describe":[76],"difference":[78],"between":[79,95,226],"MR":[80],"US":[82],"images.":[83,190,212,246],"Some":[84],"works":[85],"directly":[86,181,326,343],"use":[87,183,270,298,380],"DNN":[89],"regress":[91,355],"spatial":[93],"relationship":[94],".2":[97],"Aside":[98],"similarity,":[101],"Balakrishnan":[102],"al.3":[104],"also":[105],"explored":[106],"using":[107],"segmentation":[108],"DICE":[109,125],"as":[110,152],"loss":[112],"function":[113],"assess":[115],"quality.":[118],"Hu":[119],"al.4":[121],"used":[122,217],"soft":[123],"probabilistic":[124],"multiple":[127],"landmark":[128,187,273,339,350],"segmentations":[129],"provide":[131],"smoother":[132],"guidance":[133],"for":[134,237,278],"MR-TRUS":[135,238,306],"registration.":[136,308],"Such":[137],"method,":[138],"however,":[139],"requires":[140],"extensive":[141],"labeling":[142],"not":[144,286],"only":[145,203],"organs,":[146],"but":[147],"small":[148],"cysts":[149],"lesions":[151],"well.":[153],"level":[155],"requirement":[157,259],"largely":[158],"limits":[159],"feasibility":[161],"such":[163,248],"method.":[164],"Since":[165],"quality":[167],"most":[169],"reliably":[170],"evaluated":[171],"target":[173],"error":[175],"(TRE),":[176],"it":[177],"sensible":[179],"make":[182],"anatomical":[186,199,228],"targets":[188],"Moreover,":[191],"while":[192],"thus":[196,375],"textures":[197],"differ,":[198],"landmarks":[200,243,300,383],"information":[204],"shared":[205],"across":[206],"moving":[208],"fixed":[211],"Song":[213],"5":[216],"contrastive":[218],"loss-guided":[219],"pre-training":[220],"maximize":[223],"similar":[227],"structures.":[229],"Sun":[230],"al.6":[232],"proposed":[233],"perform":[235],"pre-alignment":[236],"manually":[241],"labeled":[242],"on":[244],"both":[245],"procedure":[250],"still":[252],"far":[253],"automatic":[255],"due":[256],"manual":[261,394],"input":[262],"at":[263],"inference":[264],"time.":[265],"Heinrich":[266],"al.7":[268],"made":[269],"detection":[274],"method":[275],"specifically":[276],"lung":[279],"computed":[280],"tomography":[281],"(CT)":[282],"registration,":[283],"which":[284,363,390],"generalizable":[287],"tasks.":[290],"In":[291],"this":[292],"work,":[293],"we":[294,352],"propose":[295,353],"explicitly":[297],"guide":[304],"We":[309,378],"first":[310],"train":[311],"neural":[314],"network":[315,346],"automatically":[317],"localize":[318],"set":[320],"meaningful":[322],"landmarks,":[323],"then":[325,379],"generate":[327,385],"affine":[329,387],"matrix":[331],"location":[334],"these":[336],"landmarks.":[337],"localization,":[340],"instead":[341],"training":[344],"predict":[348],"coordinates,":[351],"full-resolution":[357],"distance":[358],"map":[359],"landmark,":[362],"demonstrated":[365],"effective":[366],"in":[367,401],"avoiding":[368],"statistical":[369],"bias":[370],"unsatisfactory":[372],"performance":[373],"improving":[376],"performance.":[377],"predicted":[382],"transformation":[388],"matrix,":[389],"outperforms":[391],"clinicians\u2019":[393],"rigid":[395],"by":[397],"significant":[399],"margin":[400],"terms":[402],"TRE.":[404]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}