{"id":"https://openalex.org/W4391147879","doi":"https://doi.org/10.1109/jbhi.2024.3357784","title":"Radial Undersampled MRI Reconstruction Using Deep Learning With Mutual Constraints Between Real and Imaginary Components of K-Space","display_name":"Radial Undersampled MRI Reconstruction Using Deep Learning With Mutual Constraints Between Real and Imaginary Components of K-Space","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391147879","doi":"https://doi.org/10.1109/jbhi.2024.3357784","pmid":"https://pubmed.ncbi.nlm.nih.gov/38261493"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3357784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3357784","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5005180358","display_name":"Zhaotong Li","orcid":"https://orcid.org/0000-0002-6947-0065"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaotong Li","raw_affiliation_strings":["Laboratory of Digital Medicine, Department of Medical Informatics, Medical School of Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-6947-0065","affiliations":[{"raw_affiliation_string":"Laboratory of Digital Medicine, Department of Medical Informatics, Medical School of Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402697","display_name":"Sha Li","orcid":"https://orcid.org/0000-0002-2297-9569"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210093964","display_name":"Peking University Cancer Hospital","ror":"https://ror.org/00nyxxr91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Li","raw_affiliation_strings":["Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital &amp; Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2297-9569","affiliations":[{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital &amp; Institute, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072310751","display_name":"Zeru Zhang","orcid":"https://orcid.org/0000-0002-3711-5173"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeru Zhang","raw_affiliation_strings":["Institute of Medical Technology, Peking University Health Science Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3711-5173","affiliations":[{"raw_affiliation_string":"Institute of Medical Technology, Peking University Health Science Center, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104668693","display_name":"Wang Fei","orcid":"https://orcid.org/0000-0002-2675-2791"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210093964","display_name":"Peking University Cancer Hospital","ror":"https://ror.org/00nyxxr91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital &amp; Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2675-2791","affiliations":[{"raw_affiliation_string":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital &amp; Institute, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210093964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104668980","display_name":"Fengliang Wu","orcid":"https://orcid.org/0000-0002-0372-0148"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengliang Wu","raw_affiliation_strings":["Beijing Key Laboratory of Spinal Disease Research, Engineering Research Center of Bone and Joint Precision Medicine, Department of Orthopedics, Peking University Third Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0372-0148","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Spinal Disease Research, Engineering Research Center of Bone and Joint Precision Medicine, Department of Orthopedics, Peking University Third Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100680634","display_name":"Song Gao","orcid":"https://orcid.org/0000-0003-2585-6748"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Gao","raw_affiliation_strings":["Institute of Medical Technology, Peking University Health Science Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2585-6748","affiliations":[{"raw_affiliation_string":"Institute of Medical Technology, Peking University Health Science Center, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005180358"],"corresponding_institution_ids":["https://openalex.org/I199305430"],"apc_list":null,"apc_paid":null,"fwci":2.307,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87297953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"28","issue":"6","first_page":"3583","last_page":"3596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.998199999332428,"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":0.9954000115394592,"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/undersampling","display_name":"Undersampling","score":0.8201582431793213},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6002494692802429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974381566047668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5791600942611694},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5494107007980347},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5219497084617615},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47776877880096436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46253588795661926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4031195640563965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3897828757762909},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1774284541606903}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8201582431793213},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6002494692802429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974381566047668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791600942611694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5494107007980347},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5219497084617615},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47776877880096436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46253588795661926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4031195640563965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3897828757762909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1774284541606903}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":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":"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":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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":"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":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3357784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3357784","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38261493","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38261493","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G117916477","display_name":null,"funder_award_id":"82071280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6265080113","display_name":null,"funder_award_id":"12075011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G725652646","display_name":null,"funder_award_id":"23KJB310019","funder_id":"https://openalex.org/F4320335440","funder_display_name":"Natural Science Research of Jiangsu Higher Education Institutions 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/F4320335440","display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1530618081","https://openalex.org/W1567359605","https://openalex.org/W1580389772","https://openalex.org/W1975962763","https://openalex.org/W1986363410","https://openalex.org/W1992451931","https://openalex.org/W2014547837","https://openalex.org/W2059784307","https://openalex.org/W2061272711","https://openalex.org/W2086739368","https://openalex.org/W2091719438","https://openalex.org/W2100809985","https://openalex.org/W2113524221","https://openalex.org/W2119047398","https://openalex.org/W2145020729","https://openalex.org/W2146287569","https://openalex.org/W2167227980","https://openalex.org/W2442117232","https://openalex.org/W2562637781","https://openalex.org/W2611467245","https://openalex.org/W2773850766","https://openalex.org/W2789027062","https://openalex.org/W2795380527","https://openalex.org/W2796670799","https://openalex.org/W2802141570","https://openalex.org/W2836501717","https://openalex.org/W2896021921","https://openalex.org/W2899718102","https://openalex.org/W2900954917","https://openalex.org/W2909751838","https://openalex.org/W2919234133","https://openalex.org/W2963682501","https://openalex.org/W2995128483","https://openalex.org/W2996927594","https://openalex.org/W2997574889","https://openalex.org/W2999252316","https://openalex.org/W3001319253","https://openalex.org/W3003441641","https://openalex.org/W3015788359","https://openalex.org/W3034514764","https://openalex.org/W3088080397","https://openalex.org/W3090390301","https://openalex.org/W3100730608","https://openalex.org/W3101674918","https://openalex.org/W3103790380","https://openalex.org/W3118383176","https://openalex.org/W3136263382","https://openalex.org/W3137984567","https://openalex.org/W3153805335","https://openalex.org/W3201851419","https://openalex.org/W3211907256","https://openalex.org/W4205284436","https://openalex.org/W4223439149","https://openalex.org/W4226029600","https://openalex.org/W4226133625","https://openalex.org/W4249006986","https://openalex.org/W4307824392","https://openalex.org/W4313443445","https://openalex.org/W4381332772","https://openalex.org/W4390578148","https://openalex.org/W6681096077","https://openalex.org/W6738884980"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W2887783772","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2061033783","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W1994141795"],"abstract_inverted_index":{"The":[0,67,80,178],"deep":[1,25],"learning":[2,26],"method":[3,163],"is":[4,55,226],"an":[5],"efficient":[6],"solution":[7],"for":[8,103,129,156,219],"improving":[9],"the":[10,29,33,59,87,113,133,151,168,232],"quality":[11],"of":[12,38,170,181,190,234],"undersampled":[13,60],"magnetic":[14],"resonance":[15],"(MR)":[16],"image":[17,236],"reconstruction":[18],"while":[19],"reducing":[20],"lengthy":[21],"data":[22,62,130],"acquisition.":[23],"Most":[24],"methods":[27],"neglect":[28],"mutual":[30,88],"constraints":[31,89],"between":[32,90],"real":[34,91],"and":[35,63,74,92,95,100,120,172,192,209,217,221],"imaginary":[36,93],"components":[37],"complex-valued":[39,47,122,134],"k-space":[40,61,104,123,157,176],"data.":[41,105,124,177],"In":[42],"this":[43],"paper,":[44],"a":[45,146,160,187],"new":[46],"convolutional":[48],"neural":[49],"network,":[50],"namely,":[51],"Dense-U-Dense":[52],"Net":[53],"(DUD-Net),":[54],"proposed":[56,68,114,165],"to":[57,85,111,166],"interpolate":[58],"reconstruct":[64],"MR":[65,118,135,235],"images.":[66,144],"network":[69],"comprises":[70],"dense":[71,76,81],"layers,":[72],"U-Net,":[73],"other":[75,198],"layers":[77,82],"in":[78,175],"sequence.":[79],"are":[83],"used":[84,110,155],"simulate":[86],"components,":[94],"U-Net":[96],"performs":[97],"feature":[98],"sparsity":[99],"interpolation":[101],"estimation":[102],"Two":[106],"MRI":[107],"datasets":[108],"were":[109,127,137,202,205,213],"evaluate":[112],"method:":[115],"brain":[116],"magnitude-only":[117,143],"images":[119,136],"knee":[121],"Several":[125],"operations":[126],"conducted":[128],"preprocessing.":[131],"First,":[132],"synthesized":[138],"by":[139,207,215],"phase":[140,222],"modulation":[141],"on":[142,150,186],"Second,":[145],"radial":[147],"trajectory":[148],"based":[149,185],"golden":[152],"angle":[153],"was":[154,164,183],"undersampling,":[158],"whereby":[159],"reversible":[161],"normalization":[162],"balance":[167],"distribution":[169],"positive":[171],"negative":[173],"values":[174],"optimal":[179],"performance":[180,233],"DUD-Net":[182,229],"demonstrated":[184],"quantitative":[188],"evaluation":[189],"inter-method":[191],"intra-method":[193],"comparisons.":[194],"When":[195],"compared":[196],"with":[197],"methods,":[199],"significant":[200],"improvements":[201],"achieved,":[203],"PSNRs":[204],"increased":[206],"10.78":[208],"5.74dB,":[210],"whereas":[211],"RMSEs":[212],"decreased":[214],"71.53%":[216],"30.31%":[218],"magnitude":[220],"image,":[223],"respectively.":[224],"It":[225],"concluded":[227],"that":[228],"significantly":[230],"improves":[231],"reconstruction.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
