{"id":"https://openalex.org/W4414934286","doi":"https://doi.org/10.1109/tbme.2025.3618476","title":"Physics-Guided Self-Supervised Implicit Neural Representation for Accelerated $\\text{T}_{1\\rho }$ Mapping","display_name":"Physics-Guided Self-Supervised Implicit Neural Representation for Accelerated $\\text{T}_{1\\rho }$ Mapping","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4414934286","doi":"https://doi.org/10.1109/tbme.2025.3618476","pmid":"https://pubmed.ncbi.nlm.nih.gov/41052172"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2025.3618476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3618476","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","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/A5101792590","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0003-0131-2519"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Liu","raw_affiliation_strings":["Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-0131-2519","affiliations":[{"raw_affiliation_string":"Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109370340","display_name":"Jinwen Xie","orcid":null},"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":"Jinwen Xie","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590956","display_name":"J. Wu","orcid":"https://orcid.org/0000-0002-3173-0802"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhao Wu","raw_affiliation_strings":["Peng Cheng Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023484910","display_name":"Zhuo\u2010Xu Cui","orcid":"https://orcid.org/0000-0001-9283-881X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo-Xu Cui","raw_affiliation_strings":["Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-9283-881X","affiliations":[{"raw_affiliation_string":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066166951","display_name":"Qingyong Zhu","orcid":"https://orcid.org/0000-0002-7817-3679"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyong Zhu","raw_affiliation_strings":["Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-7817-3679","affiliations":[{"raw_affiliation_string":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078397516","display_name":"Jing Cheng","orcid":"https://orcid.org/0000-0001-9098-8048"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Cheng","raw_affiliation_strings":["Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-9098-8048","affiliations":[{"raw_affiliation_string":"Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015746241","display_name":"Haifeng Wang","orcid":"https://orcid.org/0000-0003-4229-3668"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Wang","raw_affiliation_strings":["Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-4229-3668","affiliations":[{"raw_affiliation_string":"Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102832735","display_name":"Zhen Song","orcid":"https://orcid.org/0000-0002-2035-2420"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Song","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3823-2646","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107191592","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0003-1358-9777"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":["Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-6257-0875","affiliations":[{"raw_affiliation_string":"Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087850504","display_name":"Yanjie Zhu","orcid":"https://orcid.org/0000-0002-9131-689X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Zhu","raw_affiliation_strings":["Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9131-689X","affiliations":[{"raw_affiliation_string":"Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12985525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":"5","first_page":"1961","last_page":"1974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6801000237464905},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5759999752044678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5356000065803528},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5031999945640564},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4406000077724457},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4368000030517578},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42100000381469727},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4163999855518341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708299994468689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858999729156494},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6801000237464905},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5759999752044678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5356000065803528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44350001215934753},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4368000030517578},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36550000309944153},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.35910001397132874},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3379000127315521},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2508000135421753}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine 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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2025.3618476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3618476","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:41052172","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41052172","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 bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2144404278","display_name":null,"funder_award_id":"12226008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2431576955","display_name":null,"funder_award_id":"62206273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2635204501","display_name":null,"funder_award_id":"62201561","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3137806788","display_name":null,"funder_award_id":"62476268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G347410417","display_name":null,"funder_award_id":"62531024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3834103512","display_name":null,"funder_award_id":"62331028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5261752650","display_name":null,"funder_award_id":"82430062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5731778259","display_name":null,"funder_award_id":"62322119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7963847922","display_name":null,"funder_award_id":"2023A1515110476","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8132990397","display_name":null,"funder_award_id":"2025A1515012966","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8966054533","display_name":null,"funder_award_id":"62125111","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/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":39,"referenced_works":["https://openalex.org/W1539262087","https://openalex.org/W1567097703","https://openalex.org/W1878263927","https://openalex.org/W2047544187","https://openalex.org/W2090510996","https://openalex.org/W2094597486","https://openalex.org/W2101675075","https://openalex.org/W2106859661","https://openalex.org/W2111388536","https://openalex.org/W2117649283","https://openalex.org/W2165142794","https://openalex.org/W2168903001","https://openalex.org/W2258557663","https://openalex.org/W2773850766","https://openalex.org/W2887450728","https://openalex.org/W2889995282","https://openalex.org/W2891118307","https://openalex.org/W2918763530","https://openalex.org/W2963446712","https://openalex.org/W2985826626","https://openalex.org/W3012906128","https://openalex.org/W3039236647","https://openalex.org/W3133487499","https://openalex.org/W3188455524","https://openalex.org/W3195875706","https://openalex.org/W3203806429","https://openalex.org/W4221128607","https://openalex.org/W4221151978","https://openalex.org/W4249760698","https://openalex.org/W4312767838","https://openalex.org/W4321022109","https://openalex.org/W4321231556","https://openalex.org/W4382199651","https://openalex.org/W4386080732","https://openalex.org/W4389665200","https://openalex.org/W4390603762","https://openalex.org/W4401051899","https://openalex.org/W4401990391","https://openalex.org/W4405300133"],"related_works":[],"abstract_inverted_index":{"Quantitative":[0],"$\\text{T}_{1\\rho":[1,63,68,103],"}$":[2,69,104],"mapping":[3,105],"has":[4],"shown":[5],"promise":[6],"in":[7,26,42,153],"clinical":[8],"and":[9,66,106,114,130,148,158],"research":[10],"studies.":[11],"However,":[12,32],"it":[13,139],"suffers":[14],"from":[15,71],"long":[16],"scan":[17],"times.":[18],"Deep":[19],"learning-based":[20],"techniques":[21],"have":[22],"been":[23],"successfully":[24],"applied":[25],"accelerated":[27],"quantitative":[28],"MR":[29,95],"parameter":[30],"mapping.":[31],"most":[33],"methods":[34,152],"require":[35],"fully-sampled":[36],"training":[37],"dataset,":[38],"which":[39,76],"is":[40,59],"impractical":[41],"the":[43,55,82,85,94,99,110,115,150,160],"clinic.":[44],"In":[45],"this":[46],"study,":[47],"a":[48,141],"novel":[49],"scan-specific":[50],"self-supervised":[51],"method":[52,87,124],"based":[53],"on":[54],"implicit":[56,90],"neural":[57,91],"representation":[58,92],"proposed":[60,86,123],"to":[61,146],"reconstruct":[62],"}$-weighted":[64],"images":[65,96],"generate":[67],"map":[70],"highly":[72],"undersampled":[73,132],"$k$-space":[74,133],"data,":[75],"only":[77],"takes":[78],"spatiotemporal":[79],"coordinates":[80],"as":[81],"input.":[83],"Specifically,":[84],"learns":[88],"an":[89],"of":[93,102,117,155],"guided":[97],"by":[98],"physical":[100],"model":[101],"two":[107],"explicit":[108],"priors:":[109],"signal":[111],"relaxation":[112],"prior":[113],"self-consistency":[116],"$k$-t":[118],"space":[119],"data":[120],"prior.":[121],"The":[122],"was":[125],"verified":[126],"using":[127],"both":[128],"retrospective":[129],"prospective":[131],"data.":[134],"Experiment":[135],"results":[136],"demonstrate":[137],"that":[138],"achieves":[140],"high":[142],"acceleration":[143],"factor":[144],"up":[145],"14,":[147],"outperforms":[149],"state-of-the-art":[151],"terms":[154],"suppressing":[156],"artifacts":[157],"achieving":[159],"lowest":[161],"error.":[162]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
