{"id":"https://openalex.org/W3211066167","doi":"https://doi.org/10.3390/s21217112","title":"Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration","display_name":"Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3211066167","doi":"https://doi.org/10.3390/s21217112","mag":"3211066167","pmid":"https://pubmed.ncbi.nlm.nih.gov/34770418"},"language":"en","primary_location":{"id":"doi:10.3390/s21217112","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21217112","pdf_url":"https://www.mdpi.com/1424-8220/21/21/7112/pdf?version=1635494342","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/21/7112/pdf?version=1635494342","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015106313","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0001-5988-4021"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan 250061, China"],"raw_orcid":"https://orcid.org/0000-0001-5988-4021","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000865830","display_name":"Shunbo Hu","orcid":"https://orcid.org/0000-0002-1442-0976"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunbo Hu","raw_affiliation_strings":["School of Information Science and Engineering, Linyi University, Linyi 276005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Linyi University, Linyi 276005, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107678784","display_name":"Changchun Liu","orcid":"https://orcid.org/0000-0003-3424-7151"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changchun Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan 250061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000865830","https://openalex.org/A5107678784"],"corresponding_institution_ids":["https://openalex.org/I154099455","https://openalex.org/I15823474"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7537,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73620681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"21","first_page":"7112","last_page":"7112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9955000281333923,"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/weighting","display_name":"Weighting","score":0.7700214385986328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6510970592498779},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5790764093399048},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5290659666061401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5243437886238098},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5117902159690857},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4986379146575928},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.48448488116264343},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4647041857242584},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.45801371335983276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44554463028907776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4001879096031189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3522093892097473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23361346125602722},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09869149327278137},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.0735979974269867}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7700214385986328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6510970592498779},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5790764093399048},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5290659666061401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5243437886238098},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5117902159690857},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4986379146575928},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.48448488116264343},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4647041857242584},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.45801371335983276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44554463028907776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4001879096031189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3522093892097473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23361346125602722},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09869149327278137},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.0735979974269867},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21217112","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21217112","pdf_url":"https://www.mdpi.com/1424-8220/21/21/7112/pdf?version=1635494342","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34770418","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34770418","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:56b425c8a2fe41db9ecf974c9ba42573","is_oa":true,"landing_page_url":"https://doaj.org/article/56b425c8a2fe41db9ecf974c9ba42573","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 21, p 7112 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/21/7112/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21217112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 21; Issue 21; Pages: 7112","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8588231","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8588231","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21217112","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21217112","pdf_url":"https://www.mdpi.com/1424-8220/21/21/7112/pdf?version=1635494342","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6786645331","display_name":null,"funder_award_id":"P01 AG003991","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G7696250148","display_name":"\u57fa\u4e8e\u7ed3\u6784\u968f\u673a\u56de\u5f52\u68ee\u6797\u4f30\u8ba1\u5f62\u6001\u548c\u7070\u5ea6\u7684\u5a74\u5e7c\u513f\u8111\u90e8\u6838\u78c1\u5171\u632f\u56fe\u50cf\u975e\u521a\u4f53\u914d\u51c6\u7814\u7a76","funder_award_id":"61771230","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/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211066167.pdf","grobid_xml":"https://content.openalex.org/works/W3211066167.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2071357012","https://openalex.org/W2604920239","https://openalex.org/W2795659077","https://openalex.org/W2816936748","https://openalex.org/W2891631795","https://openalex.org/W2963196212","https://openalex.org/W2978457402","https://openalex.org/W2980754856","https://openalex.org/W2991831678","https://openalex.org/W2995808388","https://openalex.org/W3010958984","https://openalex.org/W3013056581","https://openalex.org/W3104164805","https://openalex.org/W3169902296","https://openalex.org/W3173512372","https://openalex.org/W4238688913","https://openalex.org/W6750363397"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Patch-based":[0],"medical":[1],"image":[2],"registration":[3,204],"has":[4],"been":[5],"well":[6],"explored":[7],"in":[8,31,48,72,112],"recent":[9],"decades.":[10],"However,":[11],"the":[12,21,26,35,49,52,57,62,93,107,110,113,117,121,134,139,143,156,161,171,182],"patch":[13,66,98,122,135,174],"fusion":[14,175,195],"process":[15],"can":[16,197],"generate":[17],"grid-like":[18,76,89,178],"artifacts":[19,179],"along":[20],"edge":[22],"of":[23,38,51,75,95,120,163,189],"patches":[24],"for":[25],"following":[27],"two":[28],"reasons:":[29],"firstly,":[30],"order":[32],"to":[33,87,105,116,131,137,159,187],"ensure":[34],"same":[36],"size":[37],"input":[39],"and":[40,180],"output,":[41],"zero-padding":[42],"is":[43],"used,":[44],"which":[45],"causes":[46],"uncertainty":[47,94,140],"edges":[50],"output":[53],"feature":[54,58],"map":[55],"during":[56],"extraction":[59,65],"process;":[60],"secondly,":[61],"sliding":[63],"window":[64],"with":[67,201],"different":[68,73],"strides":[69],"will":[70],"result":[71],"degrees":[74],"artifacts.":[77,90],"In":[78],"this":[79,150],"paper,":[80],"we":[81,100],"propose":[82],"an":[83,102],"exponential-distance-weighted":[84],"(EDW)":[85],"method":[86,176,196],"remove":[88],"To":[91],"consider":[92],"predictions":[96],"near":[97,133],"edges,":[99,136],"used":[101,155,199],"exponential":[103],"function":[104],"convert":[106],"distance":[108],"from":[109],"point":[111,119],"overlapping":[114],"regions":[115],"center":[118],"into":[123],"a":[124],"weighting":[125,152],"coefficient.":[126],"This":[127],"gave":[128],"lower":[129],"weights":[130],"areas":[132],"decrease":[138],"predictions.":[141],"Finally,":[142],"dense":[144],"displacement":[145],"field":[146],"was":[147],"obtained":[148],"by":[149],"EDW":[151,173],"method.":[153,165],"We":[154],"OASIS-3":[157],"dataset":[158],"evaluate":[160],"performance":[162],"our":[164],"The":[166,193],"experimental":[167],"results":[168],"show":[169],"that":[170],"proposed":[172,194],"removed":[177],"improved":[181],"dice":[183],"similarity":[184],"coefficient":[185],"superior":[186],"those":[188],"several":[190],"state-of-the-art":[191],"methods.":[192],"be":[198],"together":[200],"any":[202],"patch-based":[203],"model.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}