{"id":"https://openalex.org/W2954862903","doi":"https://doi.org/10.1109/msp.2019.2940062","title":"Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging","display_name":"Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2954862903","doi":"https://doi.org/10.1109/msp.2019.2940062","mag":"2954862903","pmid":"https://pubmed.ncbi.nlm.nih.gov/33746469"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2019.2940062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2019.2940062","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.11410","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jonathan I. Tamir","orcid":"https://orcid.org/0000-0001-9113-9566"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan I. Tamir","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California"],"raw_orcid":"https://orcid.org/0000-0001-9113-9566","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Frank Ong","orcid":"https://orcid.org/0000-0002-9789-8683"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Ong","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University"],"raw_orcid":"https://orcid.org/0000-0002-9789-8683","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Suma Anand","orcid":null},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suma Anand","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ekin Karasan","orcid":null},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ekin Karasan","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ke Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Wang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"last","author":{"id":null,"display_name":"Michael Lustig","orcid":null},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Lustig","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California","institution_ids":["https://openalex.org/I2803209242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1728,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80964072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"37","issue":"1","first_page":"94","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.7074000239372253,"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":0.7074000239372253,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.188400000333786,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.01600000075995922,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7803000211715698},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6718999743461609},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6190999746322632},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5099999904632568},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47110000252723694},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.446399986743927},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.40130001306533813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39969998598098755},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.3986999988555908},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7803000211715698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718999981880188},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6718999743461609},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6190999746322632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5331000089645386},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5099999904632568},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4027000069618225},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40130001306533813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3693999946117401},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.366100013256073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3653999865055084},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3447999954223633},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2996000051498413},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.2858000099658966},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C105125183","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Statistical signal processing","level":4,"score":0.25859999656677246},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.25690001249313354},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.25220000743865967}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/msp.2019.2940062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2019.2940062","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},{"id":"pmid:33746469","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33746469","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 signal processing magazine","raw_type":null},{"id":"pmh:oai:arXiv.org:1906.11410","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.11410","pdf_url":"https://arxiv.org/pdf/1906.11410","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7977016","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7977016","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Mag","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.11410","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.11410","pdf_url":"https://arxiv.org/pdf/1906.11410","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1930815627","display_name":null,"funder_award_id":"R01 EB009690","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7622154002","display_name":null,"funder_award_id":"R01EB009690","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320306151","display_name":"Alfred P. Sloan Foundation","ror":"https://ror.org/052csg198"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1539262087","https://openalex.org/W1959070854","https://openalex.org/W1963427860","https://openalex.org/W1974528356","https://openalex.org/W2029816571","https://openalex.org/W2055285572","https://openalex.org/W2058915241","https://openalex.org/W2075358160","https://openalex.org/W2087332491","https://openalex.org/W2097522630","https://openalex.org/W2117406892","https://openalex.org/W2117546700","https://openalex.org/W2144288697","https://openalex.org/W2146481498","https://openalex.org/W2154108863","https://openalex.org/W2262653947","https://openalex.org/W2264117138","https://openalex.org/W2297755274","https://openalex.org/W2529694149","https://openalex.org/W2606182999","https://openalex.org/W2608930246","https://openalex.org/W2762336051","https://openalex.org/W2766748446","https://openalex.org/W2773850766","https://openalex.org/W2797196654","https://openalex.org/W2798774029","https://openalex.org/W2909266217","https://openalex.org/W2922622565","https://openalex.org/W2964120646","https://openalex.org/W4235425095","https://openalex.org/W6763985134"],"related_works":[],"abstract_inverted_index":{"Compressed":[0],"sensing":[1,139],"takes":[2,24],"advantage":[3,180],"of":[4,27,169,181,187],"low-dimensional":[5],"signal":[6,63,85],"structure":[7],"to":[8,96,162],"reduce":[9],"sampling":[10],"requirements":[11],"far":[12],"below":[13],"the":[14,25,52,55,59,106,118,170,185],"Nyquist":[15],"rate.":[16],"In":[17],"magnetic":[18],"resonance":[19],"imaging":[20,189],"(MRI),":[21],"this":[22,182],"often":[23],"form":[26],"sparsity":[28],"through":[29],"wavelet":[30],"transform,":[31],"finite":[32],"differences,":[33],"and":[34,47,75,83,128,143,190],"low":[35],"rank":[36],"extensions.":[37],"Though":[38],"powerful,":[39],"these":[40],"image":[41,56,141],"priors":[42,78,86],"are":[43,65],"phenomenological":[44],"in":[45,91,126,135],"nature":[46],"do":[48],"not":[49],"account":[50],"for":[51,79,112,140,184],"mechanism":[53],"behind":[54],"formation.":[57],"On":[58],"other":[60],"hand,":[61],"MRI":[62,127,176],"dynamics":[64],"governed":[66],"by":[67],"physical":[68,171],"laws,":[69],"which":[70],"can":[71,87,132],"be":[72,88,133],"explicitly":[73],"modeled":[74],"used":[76,134],"as":[77,151,153],"reconstruction.":[80],"These":[81],"explicit":[82],"implicit":[84],"synergistically":[89],"combined":[90],"an":[92],"inverse":[93],"problem":[94],"framework":[95,183],"recover":[97],"sharp,":[98],"multi-contrast":[99,188],"images":[100],"from":[101,117],"highly":[102],"accelerated":[103],"scans.":[104],"Furthermore,":[105],"physics-based":[107,123],"constraints":[108,125],"provide":[109],"a":[110],"recipe":[111],"recovering":[113],"quantitative,":[114],"bio-physical":[115],"parameters":[116,166],"data.":[119],"This":[120],"article":[121],"introduces":[122],"modeling":[124],"shows":[129],"how":[130],"they":[131],"conjunction":[136],"with":[137],"compressed":[138],"reconstruction":[142],"quantitative":[144,149,191],"imaging.":[145],"We":[146,158,173],"describe":[147],"model-based":[148],"MRI,":[150],"well":[152],"its":[154],"linear":[155],"subspace":[156],"approximation.":[157],"also":[159],"discuss":[160],"approaches":[161],"selecting":[163],"user-controllable":[164],"scan":[165],"given":[167],"knowledge":[168],"model.":[172],"present":[174],"several":[175],"applications":[177],"that":[178],"take":[179],"purpose":[186],"mapping.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2019-07-12T00:00:00"}
