{"id":"https://openalex.org/W2222186733","doi":"https://doi.org/10.1109/tbme.2016.2550487","title":"Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric","display_name":"Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric","publication_year":2016,"publication_date":"2016-04-21","ids":{"openalex":"https://openalex.org/W2222186733","doi":"https://doi.org/10.1109/tbme.2016.2550487","mag":"2222186733","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113189"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2016.2550487","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2550487","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"hybrid","oa_url":"https://doi.org/10.1109/tbme.2016.2550487","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018821263","display_name":"Devis Peressutti","orcid":"https://orcid.org/0000-0002-4660-0576"},"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"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Devis Peressutti","raw_affiliation_strings":["Division of Imaging Sciences and Biomedical Engineering, King's College London, London, U.K","Division of Imaging Sciences and Biomedical Engineering, King's College London, UK"],"raw_orcid":"https://orcid.org/0000-0002-4660-0576","affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London, London, U.K","institution_ids":["https://openalex.org/I183935753","https://openalex.org/I4210119896"]},{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030694361","display_name":"Alberto G\u00f3mez","orcid":"https://orcid.org/0000-0002-7897-7589"},"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":"Alberto Gomez","raw_affiliation_strings":["Division of Imaging Sciences and Biomedical Engineering, King's College London","Division of Imaging Sciences and Biomedical Engineering, King's College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034568985","display_name":"Graeme Penney","orcid":null},"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":"Graeme P. Penney","raw_affiliation_strings":["Division of Imaging Sciences and Biomedical Engineering, King's College London","Division of Imaging Sciences and Biomedical Engineering, King's College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033570737","display_name":"Andrew P. King","orcid":"https://orcid.org/0000-0002-9965-7015"},"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":"Andrew P. King","raw_affiliation_strings":["Division of Imaging Sciences and Biomedical Engineering, King's College London","Division of Imaging Sciences and Biomedical Engineering, King's College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Division of Imaging Sciences and Biomedical Engineering, King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018821263"],"corresponding_institution_ids":["https://openalex.org/I183935753","https://openalex.org/I4210119896"],"apc_list":null,"apc_paid":{"value":1802,"currency":"EUR","value_usd":1943},"fwci":0.8286,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79019641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"64","issue":"2","first_page":"352","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6628000140190125,"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":0.6628000140190125,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.026599999517202377,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.02449999935925007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7591718435287476},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7575769424438477},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7217699885368347},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7174803018569946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6454163789749146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5914285182952881},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.46916159987449646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43904754519462585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4291017949581146},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41413623094558716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3410987854003906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3300459384918213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18607467412948608},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11942687630653381}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7591718435287476},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7575769424438477},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7217699885368347},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7174803018569946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6454163789749146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914285182952881},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.46916159987449646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43904754519462585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4291017949581146},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41413623094558716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3410987854003906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3300459384918213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18607467412948608},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11942687630653381},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":"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":"D019560","descriptor_name":"Echocardiography, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019560","descriptor_name":"Echocardiography, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019560","descriptor_name":"Echocardiography, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tbme.2016.2550487","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2550487","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:28113189","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113189","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:kclpure.kcl.ac.uk:publications/44a35767-f81c-4e28-a4a0-465ed4180792","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85014966677&partnerID=8YFLogxK","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/51265886/07456216.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Peressutti , D , Gomez , A , Penney , G P & King , A P 2017 , ' Registration of multiview echocardiography sequences using a subspace error metric ' , IEEE Transactions on Biomedical Engineering , vol. 64 , no. 2 , 7456216 , pp. 352-361 . https://doi.org/10.1109/TBME.2016.2550487","raw_type":"article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/44a35767-f81c-4e28-a4a0-465ed4180792","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/44a35767-f81c-4e28-a4a0-465ed4180792","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Peressutti, D, Gomez, A, Penney, G P & King, A P 2017, 'Registration of multiview echocardiography sequences using a subspace error metric', IEEE Transactions on Biomedical Engineering, vol. 64, no. 2, 7456216, pp. 352-361. https://doi.org/10.1109/TBME.2016.2550487","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/tbme.2016.2550487","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2016.2550487","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1843243792","display_name":null,"funder_award_id":"EP/K030523/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5871485652","display_name":null,"funder_award_id":"EP/K030310/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5880636046","display_name":"Using Machine Learning to Identify Noninvasive Motion-Based Biomarkers of Cardiac Function","funder_award_id":"EP/K030523/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6591918239","display_name":"Using Machine Learning to Identify Noninvasive Motion-Based Biomarkers of Cardiac Function","funder_award_id":"EP/K030310/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320312400","display_name":"King's College Hospital NHS Foundation Trust","ror":"https://ror.org/01n0k5m85"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320319994","display_name":"Department of Health and Social Care","ror":"https://ror.org/03sbpja79"},{"id":"https://openalex.org/F4320320285","display_name":"King's College London","ror":"https://ror.org/0220mzb33"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1484388325","https://openalex.org/W1753280301","https://openalex.org/W1964816689","https://openalex.org/W1976333764","https://openalex.org/W1979209017","https://openalex.org/W1983592655","https://openalex.org/W1983804050","https://openalex.org/W1984908684","https://openalex.org/W1987930419","https://openalex.org/W1996626226","https://openalex.org/W2028911404","https://openalex.org/W2054693510","https://openalex.org/W2059029077","https://openalex.org/W2068075086","https://openalex.org/W2070939367","https://openalex.org/W2073878448","https://openalex.org/W2098976840","https://openalex.org/W2104443850","https://openalex.org/W2112995297","https://openalex.org/W2116679539","https://openalex.org/W2119249988","https://openalex.org/W2122313934","https://openalex.org/W2130519749","https://openalex.org/W2132029469","https://openalex.org/W2140139548","https://openalex.org/W2152872102","https://openalex.org/W3099514962","https://openalex.org/W3145074154"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2167092671","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W2130386332","https://openalex.org/W1120847856","https://openalex.org/W1982036645"],"abstract_inverted_index":{"OBJECTIVE:":[0],"3-D":[1],"+t":[2],"echocardiography":[3],"(3DtE)":[4],"is":[5],"widely":[6],"employed":[7],"for":[8,67,104,203,236],"the":[9,18,28,33,88,91,105,108,112,120,144,158,175,204,222,228],"assessment":[10],"of":[11,36,39,73,94,100,107,114,143,174,179,188,206,212,221,242],"left":[12],"ventricular":[13],"anatomy":[14],"and":[15,32,58,70,117,126,140,181,199,215,239],"function.":[16],"However,":[17],"information":[19],"derived":[20],"from":[21,49],"3DtE":[22,41,76,96,155,208,244],"images":[23,48],"can":[24],"be":[25],"affected":[26],"by":[27],"poor":[29],"image":[30,56,115,233],"quality":[31,57],"limited":[34],"field":[35],"view.":[37],"Registration":[38],"multiview":[40,74,95,154,207,243],"sequences":[42,209],"has":[43,227],"been":[44],"proposed":[45,80,145,159,192,223],"to":[46,86,162,230],"compound":[47],"different":[50],"acoustic":[51],"windows,":[52],"therefore":[53],"improving":[54],"both":[55],"coverage.":[59],"We":[60],"propose":[61],"a":[62,101,133,164,237],"novel":[63],"subspace":[64,103,193,224],"error":[65,109,160,167,178,194,201,225,234],"metric":[66,81,110,161,195,226],"an":[68,182],"automatic":[69,240],"robust":[71,127,238],"registration":[72,121,146,177,205,241],"intrasubject":[75],"sequences.":[77,97,245],"METHODS:":[78],"The":[79,98,137,191,219],"employs":[82],"linear":[83],"dimensionality":[84],"reduction":[85],"exploit":[87],"similarity":[89],"in":[90,124,171,184,210],"temporal":[92],"variation":[93],"use":[99,220],"low-dimensional":[102],"computation":[106],"reduces":[111],"influence":[113],"artefacts":[116],"noise":[118],"on":[119,151],"optimization,":[122],"resulting":[123],"fast":[125],"registrations":[128,156],"that":[129],"do":[130],"not":[131],"require":[132],"starting":[134],"estimate.":[135],"RESULTS:":[136],"accuracy,":[138,213],"robustness,":[139,214],"execution":[141,186,216],"time":[142,187],"were":[147],"thoroughly":[148],"validated.":[149],"Results":[150],"48":[152],"pairwise":[153],"show":[157],"outperform":[163],"state-of-the-art":[165],"phase-based":[166,200],"metric,":[168],"with":[169],"improvements":[170],"median/75th":[172],"percentile":[173],"target":[176],"21%/31%":[180],"improvement":[183],"mean":[185],"45%.":[189],"CONCLUSION:":[190],"outperforms":[196],"sum-of-squared":[197],"differences":[198],"metrics":[202,235],"terms":[211],"time.":[217],"SIGNIFICANCE:":[218],"potential":[229],"replace":[231],"standard":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-10T07:45:09.275182","created_date":"2025-10-10T00:00:00"}