{"id":"https://openalex.org/W2107336483","doi":"https://doi.org/10.1109/isbi.2011.5872708","title":"Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints","display_name":"Compressed sensing of diffusion MRI data using spatial regularization and positivity constraints","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2107336483","doi":"https://doi.org/10.1109/isbi.2011.5872708","mag":"2107336483"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"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/A5021030041","display_name":"Sudipto Dolui","orcid":"https://orcid.org/0000-0002-9035-3795"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sudipto Dolui","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","Department of Electrical and Computer Engineering, University of Waterloo, Ontario N2L 3G1, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Ontario N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060926838","display_name":"Oleg Michailovich","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Oleg V. Michailovich","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","Department of Electrical and Computer Engineering, University of Waterloo, Ontario N2L 3G1, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Ontario N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037057278","display_name":"Yogesh Rathi","orcid":"https://orcid.org/0000-0002-9946-2314"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh Rathi","raw_affiliation_strings":["Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA","\u2002Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]},{"raw_affiliation_string":"\u2002Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021030041"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.2542,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63569942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1597","last_page":"1601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9995999932289124,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7212070226669312},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7046399116516113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927313208580017},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6901445984840393},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.6356737613677979},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5770676136016846},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.559497594833374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5429480075836182},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.49610981345176697},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.42111700773239136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3714507520198822},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35194137692451477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3448781371116638},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3302372097969055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25335121154785156},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.15746602416038513},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07702493667602539}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7212070226669312},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7046399116516113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927313208580017},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6901445984840393},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6356737613677979},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5770676136016846},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.559497594833374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5429480075836182},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.49610981345176697},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.42111700773239136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3714507520198822},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35194137692451477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3448781371116638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3302372097969055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25335121154785156},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.15746602416038513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07702493667602539},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1530581289","https://openalex.org/W1964802316","https://openalex.org/W1977252496","https://openalex.org/W1984216864","https://openalex.org/W1996287810","https://openalex.org/W1996830635","https://openalex.org/W1997161422","https://openalex.org/W2005089986","https://openalex.org/W2067685645","https://openalex.org/W2086858670","https://openalex.org/W2100556411","https://openalex.org/W2128207744","https://openalex.org/W2129841144","https://openalex.org/W2145096794"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W2339684922","https://openalex.org/W1979782214","https://openalex.org/W36742526","https://openalex.org/W2030107647","https://openalex.org/W2944761405","https://openalex.org/W2187562763","https://openalex.org/W3080267150","https://openalex.org/W2283114046","https://openalex.org/W4231969046"],"abstract_inverted_index":{"In":[0,75],"recent":[1],"years,":[2],"there":[3],"has":[4],"been":[5],"an":[6,146],"ever":[7],"increasing":[8],"number":[9,54,91],"of":[10,16,19,26,29,51,55,68,92,100,178],"works":[11],"reporting":[12],"the":[13,17,24,48,66,90,108,115,125,135,163,175],"successful":[14],"application":[15,41],"theory":[18,34],"compressed":[20],"sensing":[21],"(CS)":[22],"to":[23,36,42,59,64,119,129,139,161],"problem":[25],"time-efficient":[27],"reconstruction":[28,82,113],"MRI":[30,44,56],"scans.":[31],"The":[32,166],"CS":[33],"seems":[35],"be":[37,60,130,140,159],"particularly":[38],"advantageous":[39],"in":[40,62,89,114],"diffusion":[43,70,93,104,116,126,136],"(dMRI),":[45],"where,":[46],"for":[47,97],"same":[49],"region":[50],"interest,":[52],"a":[53,80,86,111],"scans":[57],"need":[58],"acquired":[61],"order":[63],"assess":[65],"strength":[67],"water":[69],"along":[71],"different":[72],"spatial":[73],"directions.":[74],"this":[76],"paper,":[77],"we":[78,144],"propose":[79],"CS-based":[81,112],"method":[83,109],"which":[84,157,173],"allows":[85],"substantial":[87],"reduction":[88],"encoding":[94],"gradients":[95],"required":[96],"reliable":[98],"estimation":[99],"high":[101],"angular":[102],"resolution":[103],"imaging":[105],"signals.":[106],"Specifically,":[107],"performs":[110],"domain":[117],"subject":[118],"two":[120],"additional":[121],"constraints,":[122],"namely:":[123],"1)":[124],"signals":[127,137],"have":[128,138],"spatially":[131],"regular,":[132],"and":[133,154],"2)":[134],"non-negative":[141],"valued.":[142],"Additionally,":[143],"detail":[145],"efficient":[147],"numerical":[148],"solution":[149],"based":[150],"on":[151],"variable":[152],"splitting":[153],"proximity":[155],"operations,":[156],"can":[158],"used":[160],"perform":[162],"proposed":[164],"reconstruction.":[165],"paper":[167],"is":[168],"concluded":[169],"with":[170],"experimental":[171],"results":[172],"support":[174],"practical":[176],"value":[177],"our":[179],"methodology.":[180]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}