{"id":"https://openalex.org/W2098576660","doi":"https://doi.org/10.1109/isbi.2011.5872539","title":"Spatiotemporal denoising of MR spectroscopic imaging data by low-rank approximations","display_name":"Spatiotemporal denoising of MR spectroscopic imaging data by low-rank approximations","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2098576660","doi":"https://doi.org/10.1109/isbi.2011.5872539","mag":"2098576660"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","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/A5102985295","display_name":"Hien M. Nguyen","orcid":"https://orcid.org/0000-0002-4881-325X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"funder","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hien M. Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622048","display_name":"Xi Peng","orcid":"https://orcid.org/0000-0003-1898-9964"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"funder","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"funder","lineage":["https://openalex.org/I37461747"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xi Peng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA","School of Electronic Information, Wuhan University of China, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Electronic Information, Wuhan University of China, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005908865","display_name":"N. Minh","orcid":"https://orcid.org/0000-0001-5132-4986"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"funder","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh N. Do","raw_affiliation_strings":["Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019294923","display_name":"Zhi\u2010Pei Liang","orcid":"https://orcid.org/0000-0003-4586-3056"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"funder","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Pei Liang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.897,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":19,"citation_normalized_percentile":{"value":0.892349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":null,"issue":null,"first_page":"857","last_page":"860"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995,"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":0.9982,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5151881}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.69875073},{"id":"https://openalex.org/C96781048","wikidata":"https://www.wikidata.org/wiki/Q6731601","display_name":"Magnetic resonance spectroscopic imaging","level":3,"score":0.625039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.57748514},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5476753},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5258998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5239418},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5151881},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5059921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45887342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45711282},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.28680515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2817909},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25432175},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09249675},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1977900532","https://openalex.org/W1987997176","https://openalex.org/W1992364570","https://openalex.org/W1996827560","https://openalex.org/W1999795676","https://openalex.org/W2003430327","https://openalex.org/W2013186713","https://openalex.org/W2024971034","https://openalex.org/W2045900488","https://openalex.org/W2051607590","https://openalex.org/W2060581589","https://openalex.org/W2064782205","https://openalex.org/W2084184095","https://openalex.org/W2117406892","https://openalex.org/W2118682956","https://openalex.org/W2133120229","https://openalex.org/W2136396015","https://openalex.org/W2136637647","https://openalex.org/W2137622120","https://openalex.org/W2157549219","https://openalex.org/W2319645837","https://openalex.org/W2500050372","https://openalex.org/W2527475712","https://openalex.org/W4246406957"],"related_works":["https://openalex.org/W4385545089","https://openalex.org/W4367628250","https://openalex.org/W4291951920","https://openalex.org/W3034789145","https://openalex.org/W2349674371","https://openalex.org/W2152992791","https://openalex.org/W2112835755","https://openalex.org/W2097495471","https://openalex.org/W1696545756","https://openalex.org/W1452996403"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,44,58],"denoising":[4],"problem":[5],"associated":[6],"with":[7],"magnetic":[8],"resonance":[9],"spectroscopic":[10],"imaging":[11],"(MRSI),":[12],"where":[13],"low":[14],"signal-to-noise":[15],"ratio":[16],"(SNR)":[17],"has":[18],"been":[19],"a":[20,74],"critical":[21],"problem.":[22],"A":[23],"new":[24],"scheme":[25],"is":[26,46],"proposed,":[27],"which":[28],"exploits":[29],"two":[30],"low-rank":[31],"structures":[32],"that":[33,57],"exist":[34],"in":[35,73],"MRSI":[36,67],"data,":[37],"one":[38],"due":[39,47],"to":[40,48,65],"partial":[41],"separability":[42],"and":[43],"other":[45],"linear":[49],"predictability.":[50],"Experimental":[51],"results":[52],"from":[53],"practical":[54],"data":[55,68],"demonstrate":[56],"proposed":[59],"method":[60],"provides":[61],"an":[62],"effective":[63],"way":[64],"denoise":[66],"while":[69],"preserving":[70],"spatial-spectral":[71],"features":[72],"wide":[75],"range":[76],"of":[77],"SNR":[78],"values.":[79]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2098576660","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-04-21T02:29:12.060323","created_date":"2016-06-24"}