{"id":"https://openalex.org/W3078928940","doi":"https://doi.org/10.1109/tmi.2020.3017450","title":"High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction","display_name":"High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction","publication_year":2020,"publication_date":"2020-08-18","ids":{"openalex":"https://openalex.org/W3078928940","doi":"https://doi.org/10.1109/tmi.2020.3017450","mag":"3078928940","pmid":"https://pubmed.ncbi.nlm.nih.gov/32809938"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.3017450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3017450","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7751316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085173463","display_name":"Shouchang Guo","orcid":"https://orcid.org/0000-0002-0329-1638"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shouchang Guo","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027207271","display_name":"Jeffrey A. Fessler","orcid":"https://orcid.org/0000-0001-9998-3315"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey A. Fessler","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063426924","display_name":"Douglas C. Noll","orcid":"https://orcid.org/0000-0002-0983-3805"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas C. Noll","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085173463"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.4317,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84855932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"39","issue":"12","first_page":"4357","last_page":"4368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9998000264167786,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9998000264167786,"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/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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/temporal-resolution","display_name":"Temporal resolution","score":0.7372833490371704},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.63287353515625},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5745043158531189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420194268226624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5109469294548035},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4854017198085785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4351470470428467},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41142353415489197},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4104839563369751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37963801622390747},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3186911642551422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19856059551239014},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14341223239898682}],"concepts":[{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.7372833490371704},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.63287353515625},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5745043158531189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420194268226624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5109469294548035},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4854017198085785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4351470470428467},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41142353415489197},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4104839563369751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37963801622390747},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3186911642551422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19856059551239014},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14341223239898682},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2020.3017450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3017450","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:32809938","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32809938","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},{"id":"pmh:oai:pubmedcentral.nih.gov:7751316","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7751316","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7751316","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7751316","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7237414253","display_name":null,"funder_award_id":"R01 EB023618","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G8318897483","display_name":null,"funder_award_id":"U01 EB026977","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"}],"funders":[{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1599938249","https://openalex.org/W1964808148","https://openalex.org/W2011190331","https://openalex.org/W2013561127","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2027937852","https://openalex.org/W2042962221","https://openalex.org/W2058915241","https://openalex.org/W2061354873","https://openalex.org/W2071881327","https://openalex.org/W2078677240","https://openalex.org/W2091449379","https://openalex.org/W2101675075","https://openalex.org/W2110505738","https://openalex.org/W2117649283","https://openalex.org/W2121570028","https://openalex.org/W2135718700","https://openalex.org/W2151354228","https://openalex.org/W2164278908","https://openalex.org/W2168903001","https://openalex.org/W2262653947","https://openalex.org/W2338760177","https://openalex.org/W2475100904","https://openalex.org/W2531472376","https://openalex.org/W2569021273","https://openalex.org/W2619307443","https://openalex.org/W2724729237","https://openalex.org/W2765405778","https://openalex.org/W2797196654","https://openalex.org/W2912009603","https://openalex.org/W2918763530","https://openalex.org/W2963439178","https://openalex.org/W2966115511","https://openalex.org/W2972385478","https://openalex.org/W2989504803","https://openalex.org/W2998739471","https://openalex.org/W3016021663","https://openalex.org/W3142828467","https://openalex.org/W4292363360","https://openalex.org/W4300256566","https://openalex.org/W6665608999","https://openalex.org/W6766439154"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771","https://openalex.org/W4286971555"],"abstract_inverted_index":{"The":[0,51,128],"goals":[1],"of":[2,46,55,77,99,114],"fMRI":[3,26],"acquisition":[4,27,116],"include":[5],"high":[6,13,38,132],"spatial":[7,47,107,122],"and":[8,48,108,118],"temporal":[9,49,109,133,165],"resolutions":[10,110],"with":[11,34,88,111,135,151,167],"a":[12,24,67,83,112],"signal":[14],"to":[15,71,143],"noise":[16],"ratio":[17],"(SNR).":[18],"Oscillating":[19],"Steady-State":[20],"Imaging":[21],"(OSSI)":[22],"is":[23],"new":[25],"method":[28,98],"that":[29],"provides":[30],"large":[31],"oscillating":[32],"signals":[33],"the":[35,44,73,144,152],"potential":[36],"for":[37,62,92],"SNR,":[39],"but":[40],"does":[41],"so":[42],"at":[43],"expense":[45],"resolutions.":[50],"unique":[52],"oscillation":[53],"pattern":[54],"OSSI":[56,78,106,157],"images":[57],"makes":[58],"it":[59],"well":[60],"suited":[61],"high-dimensional":[63],"modeling.":[64],"We":[65,80],"propose":[66],"patch-tensor":[68],"low-rank":[69,140],"model":[70,130,159],"exploit":[72],"local":[74],"spatial-temporal":[75,154],"low-rankness":[76],"images.":[79],"also":[81],"develop":[82],"practical":[84],"sparse":[85],"sampling":[86,90],"scheme":[87],"improved":[89],"incoherence":[91],"OSSI.":[93],"With":[94],"an":[95],"alternating":[96],"direction":[97],"multipliers":[100],"(ADMM)":[101],"based":[102],"algorithm,":[103],"we":[104],"improve":[105],"factor":[113],"12":[115],"acceleration":[117],"1.3":[119],"mm":[120],"isotropic":[121],"resolution":[123],"in":[124],"prospectively":[125],"undersampled":[126],"experiments.":[127],"proposed":[129],"yields":[131],"SNR":[134,166],"more":[136,170],"activation":[137],"than":[138],"other":[139],"methods.":[141],"Compared":[142],"standard":[145],"grad-":[146],"ient":[147],"echo":[148],"(GRE)":[149],"imaging":[150],"same":[153],"resolution,":[155],"3D":[156],"tensor":[158],"reconstruction":[160],"demonstrates":[161],"2":[162,168],"times":[163,169],"higher":[164],"functional":[171],"activation.":[172]},"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":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
