{"id":"https://openalex.org/W2904520850","doi":"https://doi.org/10.1109/tbme.2018.2885436","title":"A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration","display_name":"A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration","publication_year":2018,"publication_date":"2018-12-07","ids":{"openalex":"https://openalex.org/W2904520850","doi":"https://doi.org/10.1109/tbme.2018.2885436","mag":"2904520850","pmid":"https://pubmed.ncbi.nlm.nih.gov/30530309"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2018.2885436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2885436","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6764422","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101553435","display_name":"Zhenyu Tang","orcid":"https://orcid.org/0000-0002-6998-2669"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhenyu Tang","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill"],"raw_orcid":"https://orcid.org/0000-0002-6998-2669","affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015071060","display_name":"Pew\u2010Thian Yap","orcid":"https://orcid.org/0000-0003-1489-2102"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pew-Thian Yap","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill"],"raw_orcid":"https://orcid.org/0000-0003-1489-2102","affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101553435"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.2125,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57993607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"8","first_page":"2192","last_page":"2199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9944999814033508,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9822999835014343,"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/shortest-path-problem","display_name":"Shortest path problem","score":0.6944558620452881},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6066827774047852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.605367124080658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5608291625976562},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.540475070476532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5283071994781494},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5058221817016602},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4627862572669983},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4475725293159485},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.4346565008163452},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43144312500953674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3890568017959595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33775556087493896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32711726427078247},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.179426372051239},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07956492900848389}],"concepts":[{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.6944558620452881},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6066827774047852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605367124080658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5608291625976562},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.540475070476532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5283071994781494},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5058221817016602},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4627862572669983},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4475725293159485},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.4346565008163452},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43144312500953674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3890568017959595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33775556087493896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32711726427078247},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.179426372051239},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07956492900848389},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2018.2885436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2885436","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:30530309","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30530309","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":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6764422","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6764422","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6764422","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6764422","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3145881039","display_name":null,"funder_award_id":"61502002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W94826918","https://openalex.org/W1492949916","https://openalex.org/W1495315487","https://openalex.org/W1570420153","https://openalex.org/W1881549354","https://openalex.org/W1904464160","https://openalex.org/W1968736638","https://openalex.org/W1970928383","https://openalex.org/W1985258161","https://openalex.org/W1987869189","https://openalex.org/W2013930726","https://openalex.org/W2019836674","https://openalex.org/W2038689732","https://openalex.org/W2070339004","https://openalex.org/W2074304319","https://openalex.org/W2083099567","https://openalex.org/W2117914607","https://openalex.org/W2135046866","https://openalex.org/W2141746436","https://openalex.org/W2148726987","https://openalex.org/W2150601424","https://openalex.org/W2154158661","https://openalex.org/W2164278908","https://openalex.org/W2169528473","https://openalex.org/W2281793849","https://openalex.org/W2544894372","https://openalex.org/W2604920239","https://openalex.org/W2729562325","https://openalex.org/W2752729515","https://openalex.org/W2752785527","https://openalex.org/W2795659077","https://openalex.org/W2963196212","https://openalex.org/W2996268748","https://openalex.org/W4292363360","https://openalex.org/W6639490048"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W2375480909","https://openalex.org/W4304185162","https://openalex.org/W2353314428","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W1992974870","https://openalex.org/W1982036645","https://openalex.org/W1552514824"],"abstract_inverted_index":{"Graph-based":[0],"groupwise":[1],"image":[2,20,43,62,67,97,100],"registration":[3,78,224],"(G-GIR)":[4],"aims":[5],"to":[6,26,50,63,110,131,162],"register":[7],"a":[8,28,40,173,205],"group":[9,41,65],"of":[10,79,89,134],"input":[11],"images":[12,33,53,81,217],"accurately":[13],"without":[14],"any":[15],"bias.":[16],"In":[17,168],"G-GIR,":[18,177],"an":[19],"similarity":[21],"metric":[22],"(ISM)":[23],"is":[24,106],"used":[25,91],"construct":[27],"graph":[29,35],"that":[30,75,219],"links":[31],"similar":[32],"with":[34,200,212],"edges.":[36],"From":[37],"the":[38,45,64,83,116,120,132,138,180,183,187],"graph,":[39],"center":[42,66],"and":[44,105,160,215],"shortest":[46,85,121,143,188],"paths":[47,122,189],"linking":[48],"it":[49],"all":[51],"other":[52],"can":[54,68,102,123,156,190],"be":[55,69,103,163,191],"determined.":[56],"The":[57,87,125,209],"deformation":[58,111,135],"field":[59],"aligning":[60],"each":[61,142],"obtained":[70],"by":[71,178],"composing":[72],"sub-deformation":[73,117,139,184],"fields":[74,118,140,185],"come":[76],"from":[77],"adjacent":[80],"along":[82,119,141,186],"corresponding":[84,152],"path.":[86],"majority":[88],"ISMs":[90,203],"in":[92,115,137,165,182,198],"G-GIR":[93,158,207],"are":[94,145],"based":[95],"on":[96],"intensity.":[98],"Since":[99],"intensity":[101],"ambiguous":[104],"not":[107],"directly":[108],"related":[109],"directions,":[112],"inconsistency":[113],"problem":[114,155],"occur.":[124],"word":[126],"``inconsistency''":[127],"mentioned":[128],"here":[129],"refers":[130],"directions":[133],"vectors":[136],"path":[144],"significantly":[146,192,222],"different":[147],"or":[148],"even":[149],"opposite":[150],"at":[151],"locations.":[153],"Such":[154],"make":[157],"inefficient":[159],"easily":[161],"trapped":[164],"local":[166],"minimum.":[167],"this":[169],"paper,":[170],"we":[171],"propose":[172],"new":[174],"ISM":[175],"for":[176],"which":[179],"consistency":[181],"improved.":[193],"We":[194],"evaluate":[195],"our":[196,220],"method":[197,221],"comparison":[199],"three":[201],"state-of-the-art":[202],"using":[204],"common":[206],"framework.":[208],"experimental":[210],"results":[211],"both":[213],"toy":[214],"real":[216],"show":[218],"improves":[223],"accuracy.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
