{"id":"https://openalex.org/W2013455189","doi":"https://doi.org/10.1109/isbi.2012.6235830","title":"Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints","display_name":"Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2013455189","doi":"https://doi.org/10.1109/isbi.2012.6235830","mag":"2013455189"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"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/A5085245155","display_name":"Fan Lam","orcid":"https://orcid.org/0000-0002-4124-0663"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Lam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA","Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107868098","display_name":"S. Derin Babacan","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Derin Babacan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA","Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031370363","display_name":"Justin P. Haldar","orcid":"https://orcid.org/0000-0002-1838-0211"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin P. Haldar","raw_affiliation_strings":["Signal and Image Processing Institute, the Dornsife Cognitive Neuroscience Imaging Center, and the Brain and Creativity Institute, University of Southern California, USA","Signal and Image Processing Institute, the Dornsife Cognitive Neuroscience Imaging Center, and the Brain and Creativity Institute, University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, the Dornsife Cognitive Neuroscience Imaging Center, and the Brain and Creativity Institute, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute, the Dornsife Cognitive Neuroscience Imaging Center, and the Brain and Creativity Institute, University of Southern California","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044485966","display_name":"Norbert Schuff","orcid":null},"institutions":[{"id":"https://openalex.org/I1315708478","display_name":"San Francisco VA Medical Center","ror":"https://ror.org/049peqw80","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1315708478","https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210125474","https://openalex.org/I4210143381"]},{"id":"https://openalex.org/I180670191","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54","country_code":"US","type":"education","lineage":["https://openalex.org/I180670191"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norbert Schuff","raw_affiliation_strings":["Department of Radiology and Biomedical Imaging, VA Medical Center, University of California, San Francisco, USA","Department of Radiology and Biomedical Imaging, University of California and VA Medical Center, San Francisco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, VA Medical Center, University of California, San Francisco, USA","institution_ids":["https://openalex.org/I1315708478","https://openalex.org/I180670191"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, University of California and VA Medical Center, San Francisco","institution_ids":["https://openalex.org/I1315708478"]}]},{"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":"education","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 for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA","Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1401","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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":1.0,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9189000129699707,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.916100025177002,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/diffusion-mri","display_name":"Diffusion MRI","score":0.7047938704490662},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6970158815383911},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.678191065788269},{"id":"https://openalex.org/keywords/magnitude","display_name":"Magnitude (astronomy)","score":0.6657919883728027},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5665954351425171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.542198657989502},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5019359588623047},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4983057975769043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49796032905578613},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49060073494911194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481374055147171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4555552899837494},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.4521583914756775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4059242606163025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.359803169965744},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.21059376001358032},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14663904905319214},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.07460913062095642}],"concepts":[{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.7047938704490662},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6970158815383911},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.678191065788269},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.6657919883728027},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5665954351425171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542198657989502},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5019359588623047},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4983057975769043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49796032905578613},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49060073494911194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481374055147171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4555552899837494},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.4521583914756775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4059242606163025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.359803169965744},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.21059376001358032},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14663904905319214},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.07460913062095642},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1593077517","https://openalex.org/W1661703005","https://openalex.org/W1873802445","https://openalex.org/W1899329334","https://openalex.org/W1970948570","https://openalex.org/W1999795676","https://openalex.org/W2000789223","https://openalex.org/W2059784307","https://openalex.org/W2073549551","https://openalex.org/W2096154138","https://openalex.org/W2098576660","https://openalex.org/W2115221929","https://openalex.org/W2117406892","https://openalex.org/W2120259577","https://openalex.org/W2131064896","https://openalex.org/W2132140814","https://openalex.org/W2155075588","https://openalex.org/W2155246606","https://openalex.org/W2326346057","https://openalex.org/W4300448178"],"related_works":["https://openalex.org/W2376418092","https://openalex.org/W2072983018","https://openalex.org/W1016952678","https://openalex.org/W2257644995","https://openalex.org/W1513444457","https://openalex.org/W2088646524","https://openalex.org/W2475096862","https://openalex.org/W2379232376","https://openalex.org/W1991530541","https://openalex.org/W2071165097"],"abstract_inverted_index":{"This":[0],"paper":[1,19],"addresses":[2],"the":[3,53,62,80],"denoising":[4,26],"problem":[5,83],"associated":[6,81],"with":[7],"diffusion":[8,98],"MR":[9],"imaging.":[10],"Building":[11],"on":[12],"previous":[13],"approaches":[14],"to":[15,46,78],"this":[16,18],"problem,":[17],"presents":[20],"a":[21,28,39,41,48,57,67],"new":[22],"method":[23,37,89],"for":[24],"joint":[25,72],"of":[27,30],"sequence":[29],"diffusion-weighted":[31],"(DW)":[32],"magnitude":[33,55],"images.":[34],"The":[35,87],"proposed":[36,88],"uses":[38],"maximum":[40],"posteriori":[42],"(MAP)":[43],"estimation":[44],"formulation":[45],"incorporate":[47],"Rician":[49],"likelihood":[50],"(for":[51,61,70],"modeling":[52],"noisy":[54],"data),":[56],"low":[58],"rank":[59],"model":[60],"DW":[63],"image":[64],"sequences)":[65],"and":[66,96,110],"spatial":[68],"prior":[69],"imposing":[71],"edge":[73],"constraints).":[74],"An":[75],"efficient":[76],"algorithm":[77],"solve":[79],"optimization":[82],"is":[84],"also":[85],"described.":[86],"has":[90],"been":[91],"evaluated":[92],"using":[93],"both":[94,108],"simulated":[95],"experimental":[97],"tensor":[99],"imaging":[100],"(DTI)":[101],"data,":[102],"which":[103],"yields":[104],"very":[105],"encouraging":[106],"results":[107],"qualitatively":[109],"quantitatively.":[111]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
