{"id":"https://openalex.org/W4221128607","doi":"https://doi.org/10.1109/tbme.2022.3158904","title":"Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging","display_name":"Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging","publication_year":2022,"publication_date":"2022-03-15","ids":{"openalex":"https://openalex.org/W4221128607","doi":"https://doi.org/10.1109/tbme.2022.3158904","pmid":"https://pubmed.ncbi.nlm.nih.gov/35290182"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2022.3158904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2022.3158904","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":null,"display_name":"Yihang Zhou","orcid":"https://orcid.org/0000-0001-6354-1259"},"institutions":[{"id":"https://openalex.org/I4210100061","display_name":"Hong Kong Sanatorium and Hospital","ror":"https://ror.org/010mjn423","country_code":"HK","type":"funder","lineage":["https://openalex.org/I4210100061"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yihang Zhou","raw_affiliation_strings":["Research Department, Hong Kong Sanatorium & Hospital, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6354-1259","affiliations":[{"raw_affiliation_string":"Research Department, Hong Kong Sanatorium & Hospital, Hong Kong","institution_ids":["https://openalex.org/I4210100061"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haifeng Wang","orcid":"https://orcid.org/0000-0003-4229-3668"},"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":"Haifeng Wang","raw_affiliation_strings":["Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, 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 Science, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0003-0131-2519"},"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":"Yuanyuan Liu","raw_affiliation_strings":["Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China"],"raw_orcid":"https://orcid.org/0000-0003-0131-2519","affiliations":[{"raw_affiliation_string":"Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dong Liang","orcid":"https://orcid.org/0000-0001-6257-0875"},"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":["Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6257-0875","affiliations":[{"raw_affiliation_string":"Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":null,"display_name":"Leslie Ying","orcid":"https://orcid.org/0000-0001-9801-1362"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leslie Ying","raw_affiliation_strings":["Department of Electrical Engineering and Department of Biomedical Engineering, The State University of New York at Buffalo, USA"],"raw_orcid":"https://orcid.org/0000-0001-9801-1362","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Department of Biomedical Engineering, The State University of New York at Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0424,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73296955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"69","issue":"10","first_page":"2996","last_page":"3007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.5370000004768372,"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":0.5370000004768372,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.16609999537467957,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.12809999287128448,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6615999937057495},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6586999893188477},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.642799973487854},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6032000184059143},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.565500020980835},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5303999781608582},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5289999842643738},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5012000203132629},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4943999946117401},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47369998693466187}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6615999937057495},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6586999893188477},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.642799973487854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633400022983551},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6032000184059143},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.565500020980835},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5303999781608582},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4943999946117401},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4652999937534332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4499000012874603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44519999623298645},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4399999976158142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4187000095844269},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4097000062465668},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.40779998898506165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.31540000438690186},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26409998536109924},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2538999915122986}],"mesh":[{"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":"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":"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":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2022.3158904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2022.3158904","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:35290182","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35290182","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/G1829827949","display_name":"\u57fa\u4e8e\u975e\u7ebf\u6027\u68af\u5ea6\u7f16\u7801\u7684\u78c1\u5171\u632f\u5feb\u901f\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871373","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1929700766","display_name":null,"funder_award_id":"2020B1212060051","funder_id":"https://openalex.org/F4320327665","funder_display_name":"Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province"},{"id":"https://openalex.org/G235029948","display_name":null,"funder_award_id":"U1805261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3138754842","display_name":null,"funder_award_id":"12026603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3673919701","display_name":null,"funder_award_id":"81971611","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4511200576","display_name":null,"funder_award_id":"81901736","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G529727672","display_name":null,"funder_award_id":"81729003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7256473627","display_name":null,"funder_award_id":"2021A1515110540","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7302166570","display_name":"\u8111\u5352\u4e2d\u76f8\u5173\u8840\u7ba1\u5e8a\u7ca5\u6837\u786c\u5316\u6591\u5757\u7684\u5feb\u901f\u78c1\u5171\u632f\u6210\u50cf\u53ca\u667a\u80fd\u8bca\u65ad\u7814\u7a76","funder_award_id":"81830056","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/F4320327665","display_name":"Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province","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":79,"referenced_works":["https://openalex.org/W1539262087","https://openalex.org/W1548804022","https://openalex.org/W1553234812","https://openalex.org/W1560724230","https://openalex.org/W1587559447","https://openalex.org/W1847612160","https://openalex.org/W1878263927","https://openalex.org/W1929303897","https://openalex.org/W1970948570","https://openalex.org/W1972898607","https://openalex.org/W1982563696","https://openalex.org/W1982985832","https://openalex.org/W1986382203","https://openalex.org/W1998143450","https://openalex.org/W2014351445","https://openalex.org/W2043591149","https://openalex.org/W2048273977","https://openalex.org/W2051151469","https://openalex.org/W2055285572","https://openalex.org/W2056469265","https://openalex.org/W2061143012","https://openalex.org/W2075358160","https://openalex.org/W2080737598","https://openalex.org/W2087332491","https://openalex.org/W2087572827","https://openalex.org/W2095865158","https://openalex.org/W2097522630","https://openalex.org/W2099801199","https://openalex.org/W2101675075","https://openalex.org/W2113606819","https://openalex.org/W2117546700","https://openalex.org/W2123031198","https://openalex.org/W2132122471","https://openalex.org/W2133396101","https://openalex.org/W2134884567","https://openalex.org/W2140095548","https://openalex.org/W2142058898","https://openalex.org/W2144288697","https://openalex.org/W2145096794","https://openalex.org/W2146420155","https://openalex.org/W2148462611","https://openalex.org/W2151235197","https://openalex.org/W2153557925","https://openalex.org/W2158424582","https://openalex.org/W2162029555","https://openalex.org/W2168668658","https://openalex.org/W2211925052","https://openalex.org/W2226146394","https://openalex.org/W2258557663","https://openalex.org/W2297755274","https://openalex.org/W2330484003","https://openalex.org/W2331176748","https://openalex.org/W2344612275","https://openalex.org/W2442117232","https://openalex.org/W2594014149","https://openalex.org/W2611467245","https://openalex.org/W2626325717","https://openalex.org/W2726168645","https://openalex.org/W2770360373","https://openalex.org/W2791004067","https://openalex.org/W2799761118","https://openalex.org/W2887450728","https://openalex.org/W2889378572","https://openalex.org/W2891118307","https://openalex.org/W2891839185","https://openalex.org/W2911290743","https://openalex.org/W2922528425","https://openalex.org/W2963789209","https://openalex.org/W2972061446","https://openalex.org/W2989830205","https://openalex.org/W3098020164","https://openalex.org/W3123383680","https://openalex.org/W3186335016","https://openalex.org/W4229001723","https://openalex.org/W4241103821","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W6676014314","https://openalex.org/W6790560385"],"related_works":[],"abstract_inverted_index":{"In":[0,133],"this":[1],"study,":[2],"we":[3,20],"present":[4],"a":[5,22,40,49],"novel":[6],"method":[7,150,169,190],"to":[8,25,46,48,83,108,142,172],"reconstruct":[9],"the":[10,28,61,72,76,79,84,88,100,103,109,114,145,167,173],"MR":[11,30,197],"parametric":[12,62],"maps":[13],"from":[14,55],"highly":[15],"undersampled":[16],"k-space":[17],"data.":[18,163],"Specifically,":[19],"utilize":[21],"nonlinear":[23],"model":[24],"sparsely":[26],"represent":[27],"unknown":[29],"parameter-weighted":[31],"images":[32,57,77],"in":[33,78,157,179],"high-dimensional":[34],"feature":[35,80],"space.":[36],"Each":[37],"image":[38],"at":[39],"specific":[41],"time":[42],"point":[43],"is":[44,53,67,106,111,121,151,170],"assumed":[45],"belong":[47],"low-dimensional":[50],"manifold":[51,110],"which":[52],"learned":[54],"training":[56],"created":[58],"based":[59],"on":[60,153],"model.":[63],"The":[64,117,148,188],"final":[65],"reconstruction":[66,146,177],"carried":[68],"out":[69],"by":[70],"venturing":[71],"sparse":[73,126],"representation":[74],"of":[75,96,181],"space":[81],"back":[82],"input":[85],"space,":[86],"using":[87,123],"pre-imaging":[89],"technique.":[90],"Particularly,":[91],"among":[92],"an":[93],"infinite":[94],"number":[95],"solutions":[97],"that":[98,105,166],"satisfy":[99],"data":[101],"consistency,":[102],"one":[104],"closest":[107],"selected":[112],"as":[113],"desired":[115],"solution.":[116],"underlying":[118],"optimization":[119],"problem":[120],"solved":[122],"kernel":[124],"trick,":[125],"coding,":[127],"and":[128,137,156,184],"split":[129],"Bregman":[130],"iteration":[131],"algorithm.":[132],"addition,":[134],"both":[135,154],"spatial":[136],"temporal":[138],"regularizations":[139],"are":[140],"utilized":[141],"further":[143],"improve":[144],"quality.":[147],"proposed":[149,168,189],"validated":[152],"phantom":[155],"vivo":[158],"human":[159],"brain":[160],"T2":[161],"mapping":[162],"Results":[164],"suggest":[165],"superior":[171],"conventional":[174],"linear":[175],"model-based":[176],"methods,":[178],"terms":[180],"artifact":[182],"removal":[183],"quantitative":[185,196],"estimation":[186],"accuracy.":[187],"could":[191],"be":[192],"potentially":[193],"beneficial":[194],"for":[195],"applications.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2022-04-03T00:00:00"}