{"id":"https://openalex.org/W4402982369","doi":"https://doi.org/10.1109/icme57554.2024.10687808","title":"HFF-Net: A High-Frequency Fidelity Model for Accelerated Parallel MRI Reconstruction","display_name":"HFF-Net: A High-Frequency Fidelity Model for Accelerated Parallel MRI Reconstruction","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402982369","doi":"https://doi.org/10.1109/icme57554.2024.10687808"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687808","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687808","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 Multimedia and Expo (ICME)","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/A5100773735","display_name":"Zhenggang Yang","orcid":"https://orcid.org/0000-0001-9014-2245"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenggang Yang","raw_affiliation_strings":["East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044588347","display_name":"Faming Fang","orcid":"https://orcid.org/0000-0003-4511-4813"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Fang","raw_affiliation_strings":["East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046357019","display_name":"Qiaosi Yi","orcid":"https://orcid.org/0000-0001-9720-4322"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaosi Yi","raw_affiliation_strings":["East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010406288","display_name":"Fang Li","orcid":"https://orcid.org/0000-0001-6804-2651"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":["Normal University,School of Mathematical Sciences East China,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Normal University,School of Mathematical Sciences East China,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100773735"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28834749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9811000227928162,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6456766724586487},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.5071132183074951},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4558994472026825},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.43674778938293457},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.140394926071167},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.13250049948692322},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08259573578834534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.061721861362457275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456766724586487},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.5071132183074951},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4558994472026825},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.43674778938293457},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.140394926071167},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.13250049948692322},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08259573578834534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.061721861362457275},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687808","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687808","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W4224231624","https://openalex.org/W2332512904","https://openalex.org/W2319626700"],"abstract_inverted_index":{"Magnetic":[0,64],"Resonance":[1,65],"Imaging":[2,46],"(MRI)":[3],"plays":[4],"a":[5,73,84],"crucial":[6],"role":[7],"in":[8,63],"diagnosing":[9],"and":[10,27,44,61,145],"treating":[11],"various":[12],"diseases.":[13],"However,":[14,50],"the":[15,58,89,94,102,107,114,118],"long":[16],"acquisition":[17],"time":[18],"of":[19,96],"MRI":[20,32,79],"scans":[21],"often":[22],"leads":[23],"to":[24,47,55],"patient":[25],"discomfort":[26],"motion":[28],"artifacts.":[29],"Consequently,":[30],"accelerating":[31],"speed":[33],"is":[34,121],"essential.":[35],"Researchers":[36],"have":[37],"combined":[38],"Deep":[39],"Learning":[40],"with":[41,142],"Compressed":[42],"Sensing":[43],"Parallel":[45],"advance":[48],"MRI.":[49],"many":[51],"existing":[52],"methods":[53],"fail":[54],"effectively":[56],"recover":[57],"fine":[59,146],"details":[60],"structures":[62],"images.":[66],"To":[67],"address":[68],"these":[69],"challenges,":[70],"we":[71,100],"propose":[72],"novel":[74],"model":[75,82,120],"for":[76],"accelerated":[77],"parallel":[78],"reconstruction.":[80],"Our":[81],"incorporates":[83],"high-frequency":[85,97],"fidelity":[86],"method":[87,134],"into":[88],"reconstruction":[90],"process,":[91],"explicitly":[92],"emphasizing":[93],"recovery":[95],"information.":[98],"Additionally,":[99],"consider":[101],"joint":[103],"priori":[104],"distribution":[105],"between":[106],"reconstructed":[108],"images":[109,141],"from":[110],"each":[111],"coil.":[112],"Using":[113],"variable":[115],"splitting":[116],"approach,":[117],"proposed":[119],"unrolled":[122],"as":[123],"an":[124],"end-to-end":[125],"network":[126],"termed":[127],"HFF-Net.":[128],"Experimental":[129],"results":[130],"demonstrate":[131],"that":[132],"our":[133],"outperforms":[135],"state-of-the-art":[136],"techniques,":[137],"yielding":[138],"high-quality":[139],"MR":[140],"enhanced":[143],"detail":[144],"structure":[147],"recovery.":[148]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}