{"id":"https://openalex.org/W4406259745","doi":"https://doi.org/10.1109/bibm62325.2024.10822293","title":"Real-time R-peak detection for 5T MRI Gating based on Template Matching","display_name":"Real-time R-peak detection for 5T MRI Gating based on Template Matching","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406259745","doi":"https://doi.org/10.1109/bibm62325.2024.10822293"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062161005","display_name":"Xuanyu Zhu","orcid":"https://orcid.org/0000-0001-9140-9992"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyu Zhu","raw_affiliation_strings":["Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113342766","display_name":"Jiameng Diao","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiameng Diao","raw_affiliation_strings":["Shanghaitech University,School of Biomedical Engineering,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghaitech University,School of Biomedical Engineering,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042378665","display_name":"Zuyu Du","orcid":"https://orcid.org/0000-0002-8519-0645"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuyu Du","raw_affiliation_strings":["Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102949478","display_name":"Tangwei Cao","orcid":"https://orcid.org/0000-0001-6345-5289"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangwei Cao","raw_affiliation_strings":["Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424725","display_name":"Peng Hu","orcid":"https://orcid.org/0000-0002-2933-1239"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hu","raw_affiliation_strings":["Shanghaitech University,School of Biomedical Engineering,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghaitech University,School of Biomedical Engineering,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033083912","display_name":"Lin Xu","orcid":"https://orcid.org/0000-0001-5777-1496"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Xu","raw_affiliation_strings":["Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghaitech University,School of Information Science and Technology,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60329462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5182","last_page":"5186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9269000291824341,"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":0.9269000291824341,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.906499981880188,"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/gating","display_name":"Gating","score":0.6392725706100464},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6100526452064514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6007418036460876},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5567229390144348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3355938494205475},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12626755237579346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12561187148094177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.056386202573776245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05273285508155823}],"concepts":[{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.6392725706100464},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6100526452064514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007418036460876},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5567229390144348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3355938494205475},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12626755237579346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12561187148094177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.056386202573776245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05273285508155823},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":11,"referenced_works":["https://openalex.org/W12083621","https://openalex.org/W1522099708","https://openalex.org/W1964553479","https://openalex.org/W1981430297","https://openalex.org/W2006285698","https://openalex.org/W2100976790","https://openalex.org/W2162273778","https://openalex.org/W6683525090","https://openalex.org/W6685182997","https://openalex.org/W6705988573","https://openalex.org/W6813983695"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2031449089","https://openalex.org/W2112596406","https://openalex.org/W2125499229","https://openalex.org/W2072696177","https://openalex.org/W4387096269","https://openalex.org/W2802511870","https://openalex.org/W2372581239"],"abstract_inverted_index":{"Cardiovascular":[0],"Magnetic":[1],"Resonance":[2],"Imaging":[3],"(CMR)":[4],"is":[5],"essential":[6],"for":[7,57,105,116],"detailed":[8],"cardiac":[9],"assessment":[10],"but":[11],"faces":[12],"challenges":[13],"in":[14,34,74,120],"gating":[15,54],"accuracy":[16,109],"at":[17],"higher":[18],"magnetic":[19],"field":[20],"strengths":[21],"like":[22],"5T":[23,58],"due":[24,38],"to":[25,39,69],"magnetohydrodynamic":[26],"(MHD)":[27],"artifacts.":[28],"Current":[29],"ECG-based":[30],"methods":[31],"often":[32],"failed":[33],"detecting":[35],"precise":[36],"R-peaks":[37],"these":[40],"artifacts,":[41],"compromising":[42],"imaging":[43],"quality.":[44],"In":[45],"this":[46],"study,":[47],"we":[48],"proposed":[49],"a":[50,78,91],"novel":[51],"single-channel":[52],"ECG":[53],"framework":[55],"tailored":[56],"MRI":[59,122],"scanners.":[60],"Our":[61],"approach":[62],"integrated":[63],"template":[64],"matching":[65],"and":[66,97,110],"adaptive":[67],"thresholding":[68],"enhance":[70],"R-peak":[71],"detection":[72],"reliability":[73],"real-time.":[75],"Evaluation":[76],"on":[77],"dataset":[79],"from":[80],"21":[81],"healthy":[82],"volunteers":[83],"demonstrated":[84],"superior":[85],"performance":[86],"over":[87],"conventional":[88],"methods,":[89],"achieving":[90],"Positive":[92],"Predictive":[93],"Value":[94],"of":[95,99],"99.85%":[96],"Sensitivity":[98],"89.69%.":[100],"This":[101],"method":[102],"holds":[103],"promise":[104],"improving":[106],"CMR":[107],"synchronization":[108],"image":[111],"quality,":[112],"paving":[113],"the":[114],"way":[115],"enhanced":[117],"clinical":[118],"applications":[119],"high-field":[121],"environments.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
