{"id":"https://openalex.org/W4390970430","doi":"https://doi.org/10.1109/tmi.2024.3354925","title":"PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal Artifact Reduction","display_name":"PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal Artifact Reduction","publication_year":2024,"publication_date":"2024-01-18","ids":{"openalex":"https://openalex.org/W4390970430","doi":"https://doi.org/10.1109/tmi.2024.3354925","pmid":"https://pubmed.ncbi.nlm.nih.gov/38236665"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3354925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3354925","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","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/A5101968584","display_name":"J Xia","orcid":"https://orcid.org/0009-0004-1071-5824"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinqiu Xia","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-1071-5824","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081905097","display_name":"Y. Zhou","orcid":"https://orcid.org/0009-0007-4106-7761"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Zhou","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-4106-7761","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101629843","display_name":"Deng Wen-xin","orcid":"https://orcid.org/0009-0002-6303-6230"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Deng","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-6303-6230","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102874408","display_name":"Jing Kang","orcid":"https://orcid.org/0009-0000-0748-8297"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Kang","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-0748-8297","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059518747","display_name":"Wangjiang Wu","orcid":"https://orcid.org/0000-0002-3745-7800"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangjiang Wu","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3745-7800","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003562467","display_name":"Mengke Qi","orcid":"https://orcid.org/0000-0001-7161-6759"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengke Qi","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7161-6759","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Linghong Zhou","orcid":"https://orcid.org/0009-0005-9647-487X"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linghong Zhou","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-9647-487X","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107062690","display_name":"Jianhui Ma","orcid":"https://orcid.org/0009-0008-9433-9916"},"institutions":[{"id":"https://openalex.org/I4210103346","display_name":"Nanfang Hospital","ror":"https://ror.org/01eq10738","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103346"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Ma","raw_affiliation_strings":["Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-9433-9916","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834","https://openalex.org/I4210103346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071075462","display_name":"Yuan Xu","orcid":"https://orcid.org/0000-0002-2308-3748"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Xu","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2308-3748","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101968584"],"corresponding_institution_ids":["https://openalex.org/I58200834"],"apc_list":null,"apc_paid":null,"fwci":2.0909,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85816877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"6","first_page":"2125","last_page":"2136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":1.0,"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":0.9973999857902527,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9965000152587891,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7106543779373169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685650646686554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5194537043571472},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4857352375984192},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4671074151992798},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4454765319824219},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4347718060016632},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4342867434024811},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4320881962776184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3532717525959015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27744072675704956}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7106543779373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685650646686554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5194537043571472},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4857352375984192},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4671074151992798},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4454765319824219},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4347718060016632},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4342867434024811},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4320881962776184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3532717525959015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27744072675704956}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D000465","descriptor_name":"Algorithms","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":"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":"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":"D008670","descriptor_name":"Metals","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","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},{"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":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019736","descriptor_name":"Prostheses and Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3354925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3354925","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38236665","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38236665","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G2413400352","display_name":null,"funder_award_id":"2023A1515010537","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2552383827","display_name":null,"funder_award_id":"82272131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4202655311","display_name":null,"funder_award_id":"61971463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8190201995","display_name":null,"funder_award_id":"82202960","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8475944286","display_name":null,"funder_award_id":"2022YFA1204203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W319611471","https://openalex.org/W971131603","https://openalex.org/W1224056095","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1972664446","https://openalex.org/W2003327790","https://openalex.org/W2023160828","https://openalex.org/W2041616298","https://openalex.org/W2079127706","https://openalex.org/W2095757123","https://openalex.org/W2098494036","https://openalex.org/W2102353889","https://openalex.org/W2137092348","https://openalex.org/W2154129661","https://openalex.org/W2160416946","https://openalex.org/W2167890826","https://openalex.org/W2168730277","https://openalex.org/W2278475848","https://openalex.org/W2520526731","https://openalex.org/W2601466153","https://openalex.org/W2753044865","https://openalex.org/W2775397671","https://openalex.org/W2784480683","https://openalex.org/W2902232758","https://openalex.org/W2907750714","https://openalex.org/W2948149465","https://openalex.org/W2962793481","https://openalex.org/W2963132150","https://openalex.org/W2963891322","https://openalex.org/W2970437588","https://openalex.org/W2979562958","https://openalex.org/W3043538452","https://openalex.org/W3087119976","https://openalex.org/W3099147628","https://openalex.org/W3103454039","https://openalex.org/W3105608025","https://openalex.org/W3130850522","https://openalex.org/W3147951899","https://openalex.org/W3179295462","https://openalex.org/W3185548153","https://openalex.org/W3185953395","https://openalex.org/W3202641460","https://openalex.org/W3203107667","https://openalex.org/W3204387889","https://openalex.org/W4288055293","https://openalex.org/W4312220823","https://openalex.org/W4387211398","https://openalex.org/W6625316471","https://openalex.org/W6628006433","https://openalex.org/W6631190155","https://openalex.org/W6841357031"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"Metal":[0],"artifacts":[1,67,85,137],"caused":[2],"by":[3],"the":[4,11,22,27,56,60,80,120,133,139,144,163,180,187,192],"presence":[5],"of":[6,13,29,51,72,83,148,183],"metallic":[7],"implants":[8],"tremendously":[9],"degrade":[10],"quality":[12],"reconstructed":[14],"computed":[15],"tomography":[16],"(CT)":[17],"images":[18],"and":[19,32,124,135,146,190,205,222],"therefore":[20],"affect":[21],"clinical":[23,152,223],"diagnosis":[24],"or":[25],"reduce":[26,132],"accuracy":[28],"organ":[30],"delineation":[31],"dose":[33],"calculation":[34],"in":[35,105,138,162,186],"radiotherapy.":[36],"Although":[37],"various":[38],"deep":[39],"learning":[40],"methods":[41],"have":[42],"been":[43],"proposed":[44],"for":[45,103],"metal":[46,61,73,84],"artifact":[47,122,164],"reduction":[48],"(MAR),":[49],"most":[50],"them":[52],"aim":[53],"to":[54,118,131,167,178,199],"restore":[55],"corrupted":[57],"sinogram":[58,114,195,201],"within":[59],"trace,":[62],"which":[63,86],"removes":[64],"beam":[65],"hardening":[66],"but":[68],"ignores":[69],"other":[70],"components":[71],"artifacts.":[74],"In":[75],"this":[76],"paper,":[77],"based":[78],"on":[79,151,220],"physical":[81],"property":[82],"is":[87],"verified":[88],"via":[89],"Monte":[90],"Carlo":[91],"(MC)":[92],"simulation,":[93],"we":[94,109,155,172],"propose":[95],"a":[96,111,157],"novel":[97,112],"physics-inspired":[98],"non-local":[99,113],"dual-domain":[100],"network":[101,116,129,160],"(PND-Net)":[102],"MAR":[104,231],"CT":[106,153],"imaging.":[107],"Specifically,":[108],"design":[110,173],"decomposition":[115],"(NSD-Net)":[117],"acquire":[119],"weighted":[121],"component":[123],"develop":[125],"an":[126,174],"image":[127,140,188],"restoration":[128],"(IR-Net)":[130],"residual":[134],"secondary":[136],"domain.":[141],"To":[142],"facilitate":[143],"generalization":[145],"robustness":[147],"our":[149,227],"method":[150,228],"images,":[154],"employ":[156],"trainable":[158],"fusion":[159],"(F-Net)":[161],"synthesis":[165],"path":[166],"achieve":[168],"unpaired":[169],"learning.":[170],"Furthermore,":[171],"internal":[175],"consistency":[176],"loss":[177],"ensure":[179],"data":[181,224],"fidelity":[182],"anatomical":[184],"structures":[185],"domain":[189],"introduce":[191],"linear":[193],"interpolation":[194],"as":[196],"prior":[197],"knowledge":[198],"guide":[200],"decomposition.":[202],"NSD-Net,":[203],"IR-Net,":[204],"F-Net":[206],"are":[207],"jointly":[208],"trained":[209],"so":[210],"that":[211,226],"they":[212],"can":[213],"benefit":[214],"from":[215],"one":[216],"another.":[217],"Extensive":[218],"experiments":[219],"simulation":[221],"demonstrate":[225],"outperforms":[229],"state-of-the-art":[230],"methods.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
