{"id":"https://openalex.org/W2793913097","doi":"https://doi.org/10.1117/12.2293082","title":"Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function","display_name":"Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2793913097","doi":"https://doi.org/10.1117/12.2293082","mag":"2793913097"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293082","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: 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/A5031724124","display_name":"Jiong Wu","orcid":"https://orcid.org/0009-0002-6913-4042"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiong Wu","raw_affiliation_strings":["Sun Yat-sen Univ. (China)","Sun Yat-sen Univ.-Carnegie Mellon Univ. Joint Institute of Engineering (China)"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen Univ.-Carnegie Mellon Univ. Joint Institute of Engineering (China)","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080168999","display_name":"Xiaoying Tang","orcid":"https://orcid.org/0000-0002-7549-6560"},"institutions":[{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Tang","raw_affiliation_strings":["Sun Yat-Sen Univ. (China)","Sun Yat-sen Univ.-Carnegie Mellon Univ. Joint Institute of Engineering (China)","Sun Yat-sen Univ.-Carnegie Mellon Univ. Shunde International Joint Research Institute (China)"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen Univ.-Carnegie Mellon Univ. Joint Institute of Engineering (China)","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen Univ.-Carnegie Mellon Univ. Shunde International Joint Research Institute (China)","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031724124"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.4145,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81532918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.9980000257492065,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7566307187080383},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6961052417755127},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6252765655517578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092787384986877},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5212402939796448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4768420457839966},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4607900083065033},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.45374590158462524},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.44720470905303955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3735961616039276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34095239639282227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18309912085533142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566307187080383},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6961052417755127},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6252765655517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092787384986877},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5212402939796448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4768420457839966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4607900083065033},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.45374590158462524},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.44720470905303955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3735961616039276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34095239639282227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18309912085533142},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2293082","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","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/W66834283","https://openalex.org/W1543220894","https://openalex.org/W1970928383","https://openalex.org/W1987869189","https://openalex.org/W2006302620","https://openalex.org/W2020230579","https://openalex.org/W2033318187","https://openalex.org/W2052017695","https://openalex.org/W2097110160","https://openalex.org/W2104612543","https://openalex.org/W2136145485","https://openalex.org/W2144595616","https://openalex.org/W2170167891","https://openalex.org/W2516193590","https://openalex.org/W2749890893","https://openalex.org/W6681829588","https://openalex.org/W6726485098"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2387425358","https://openalex.org/W2542788974","https://openalex.org/W2548524143"],"abstract_inverted_index":{"Large":[0],"deformation":[1],"diffeomorphic":[2],"metric":[3],"mapping":[4],"(LDDMM)":[5],"is":[6],"one":[7],"of":[8,21,39,51,56,100,103,131,135,196,208,210],"the":[9,37,46,75,77,82,87,126,157,178,182,192],"state-of-the-art":[10],"deformable":[11],"image":[12],"registration":[13,137,179,197],"algorithms":[14],"that":[15,189],"has":[16,60],"been":[17,61],"shown":[18],"to":[19,53,156],"be":[20],"superior":[22],"performance,":[23],"especially":[24],"for":[25,32,113,205],"brain":[26,104],"images.":[27,105],"LDDMM":[28,52],"was":[29],"originally":[30],"proposed":[31,109,143],"matching":[33,47,57,72,184],"intra-modality":[34],"images,":[35],"with":[36,125,166],"Sum":[38],"Squared":[40],"Difference":[41],"(SSD)":[42],"being":[43],"used":[44],"as":[45],"cost":[48,58,73,185],"function.":[49],"Extension":[50],"other":[54],"types":[55],"functions":[59],"very":[62],"limited.":[63],"In":[64,106],"this":[65],"paper,":[66],"we":[67,108,187],"systematically":[68],"evaluated":[69],"three":[70,115,183],"different":[71],"functions,":[74,186],"SSD,":[76],"Mutual":[78],"Information":[79],"(MI),":[80],"and":[81,94,122,139,145],"Cross":[83],"Correlation":[84],"(CC)":[85],"in":[86,97,133,149,194],"LDDMM-image":[88,116],"setting,":[89],"based":[90],"on":[91,162,174],"14":[92],"subcortical":[93],"ventricular":[95],"structures":[96,209],"a":[98,163,206],"total":[99],"120":[101],"pairs":[102],"addition,":[107],"an":[110,150],"efficient":[111],"implementation":[112,130],"those":[114],"settings":[117],"via":[118],"GPU-base":[119],"parallel":[120],"computing":[121],"quantitatively":[123],"compared":[124],"standard":[127,158],"open":[128,159],"source":[129,160],"LDDMM-SSD":[132],"terms":[134,195],"both":[136],"accuracy":[138],"computational":[140],"time.":[141],"The":[142],"parallelization":[144],"optimization":[146],"approach":[147],"resulted":[148],"acceleration":[151],"by":[152],"28":[153],"times,":[154],"relative":[155],"implementation,":[161],"4-core":[164],"machine":[165],"GTX970":[167],"card":[168],"(29.67":[169],"mins":[170,173],"versus":[171],"828.35":[172],"average),":[175],"without":[176],"sacrificing":[177],"accuracy.":[180],"Comparing":[181],"observed":[188],"LDDMM-CC":[190],"worked":[191],"best":[193],"accuracy,":[198],"obtaining":[199],"Dice":[200],"overlaps":[201],"larger":[202],"than":[203],"0.853":[204],"majority":[207],"interest.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}