{"id":"https://openalex.org/W4385544432","doi":"https://doi.org/10.58530/2022/0842","title":"An untrained deep learning method with model-based regularization for reconstructing dynamic MR images from retrospectively accelerated data","display_name":"An untrained deep learning method with model-based regularization for reconstructing dynamic MR images from retrospectively accelerated data","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4385544432","doi":"https://doi.org/10.58530/2022/0842"},"language":"en","primary_location":{"id":"doi:10.58530/2022/0842","doi":"https://doi.org/10.58530/2022/0842","is_oa":false,"landing_page_url":"https://doi.org/10.58530/2022/0842","pdf_url":null,"source":{"id":"https://openalex.org/S4393917449","display_name":"Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition","issn_l":"1524-6965","issn":["1524-6965","1545-4428"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISMRM Annual Meeting","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076555201","display_name":"Kalina P. Slavkova","orcid":"https://orcid.org/0000-0003-4311-2355","observed_orcids":["https://orcid.org/0000-0003-4311-2355"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kalina Slavkova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045307599","display_name":"Julie C. DiCarlo","orcid":"https://orcid.org/0000-0002-6965-3611","observed_orcids":["https://orcid.org/0000-0002-6965-3611"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julie DiCarlo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014249426","display_name":"Viraj Wadhwa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viraj Wadhwa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027619317","display_name":"Thomas E. Yankeelov","orcid":"https://orcid.org/0000-0001-6201-3913","observed_orcids":["https://orcid.org/0000-0001-6201-3913"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Yankeelov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056163027","display_name":"Jonathan I. Tamir","orcid":"https://orcid.org/0000-0001-9113-9566","observed_orcids":["https://orcid.org/0000-0001-9113-9566"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Tamir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.18148108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T10688","display_name":"Image and Signal Denoising Methods","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/physics-based-regularization","display_name":"physics-based regularization","score":0.9259999990463257},{"id":"https://openalex.org/keywords/dynamic-mri-reconstruction","display_name":"dynamic MRI reconstruction","score":0.7570000290870667},{"id":"https://openalex.org/keywords/t1-mapping","display_name":"T1 mapping","score":0.9700000286102295},{"id":"https://openalex.org/keywords/quantitative-mri","display_name":"quantitative MRI","score":0.6520000100135803},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.6380000114440918},{"id":"https://openalex.org/keywords/low-rank-reconstruction","display_name":"low-rank reconstruction","score":0.8970000147819519},{"id":"https://openalex.org/keywords/brain-mri","display_name":"brain MRI","score":0.6349999904632568}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.8272273540496826},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.6100247502326965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6004180908203125},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.593280017375946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824506878852844},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.488359659910202},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4481913447380066},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.4302871525287628},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.42211097478866577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41895225644111633},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4161859452724457},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4126533567905426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37540900707244873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1935790479183197},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13423192501068115},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.58530/2022/0842","doi":"https://doi.org/10.58530/2022/0842","is_oa":false,"landing_page_url":"https://doi.org/10.58530/2022/0842","pdf_url":null,"source":{"id":"https://openalex.org/S4393917449","display_name":"Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition","issn_l":"1524-6965","issn":["1524-6965","1545-4428"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISMRM Annual Meeting","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4310626927","https://openalex.org/W2442117232","https://openalex.org/W3214344246","https://openalex.org/W2425975151","https://openalex.org/W2805885902","https://openalex.org/W2525737706","https://openalex.org/W2131425457","https://openalex.org/W7214395640","https://openalex.org/W4412212841","https://openalex.org/W4402643263"],"abstract_inverted_index":{"Acquiring":[0],"high-resolution":[1],"MRI":[2,36],"data":[3,37,82],"for":[4,8,41,72],"tissue":[5],"parameter":[6,85],"mapping":[7,86],"quantitative":[9],"imaging":[10],"requires":[11],"additional":[12],"scan":[13],"time.":[14],"As":[15],"a":[16,28,69],"proof-of-principle,":[17],"we":[18],"evaluated":[19],"the":[20,23,39,79],"ability":[21],"of":[22,38,45],"ConvDecoder":[24,63],"architecture":[25],"regularized":[26],"with":[27,64],"physical":[29],"model":[30],"to":[31,50],"reconstruct":[32],"accelerated":[33],"variable-flip":[34],"angle":[35],"brain":[40],"T1-mapping.":[42],"The":[43],"performance":[44],"our":[46],"method":[47],"was":[48],"compared":[49],"non-regularized":[51],"ConvDecoder,":[52],"low":[53],"rank":[54],"reconstruction,":[55],"and":[56],"compressed":[57],"sensing.":[58],"Our":[59],"results":[60],"suggest":[61],"that":[62,74],"physics-based":[65],"regularization":[66],"may":[67],"provide":[68],"stopping":[70],"condition":[71],"training":[73],"is":[75],"not":[76],"dependent":[77],"on":[78],"ground":[80],"truth":[81],"while":[83],"improving":[84],"at":[87],"higher":[88],"accelerations.":[89]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2023-08-04T00:00:00"}