{"id":"https://openalex.org/W2036155249","doi":"https://doi.org/10.1002/(sici)1098-1098(1999)10:2<151::aid-ima6>3.0.co;2-y","title":"Near-optimal spatial encoding for dynamically adaptive MRI: Mathematical principles and computational methods","display_name":"Near-optimal spatial encoding for dynamically adaptive MRI: Mathematical principles and computational methods","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W2036155249","doi":"https://doi.org/10.1002/(sici)1098-1098(1999)10:2<151::aid-ima6>3.0.co;2-y","mag":"2036155249"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1098-1098(1999)10:2<151::aid-ima6>3.0.co;2-y","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1098-1098(1999)10:2<151::aid-ima6>3.0.co;2-y","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-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/A5048324242","display_name":"Gary P. Zientara","orcid":null},"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":true,"raw_author_name":"Gary P. Zientara","raw_affiliation_strings":["Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106077142","display_name":"Lawrence P. Panych","orcid":"https://orcid.org/0000-0002-7719-1357"},"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":"Lawrence P. Panych","raw_affiliation_strings":["Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109106701","display_name":"Ferenc A. J\u00f3lesz","orcid":null},"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":"Ferenc A. Jolesz","raw_affiliation_strings":["Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048324242"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.4002,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64657201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":"2","first_page":"151","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.9977999925613403,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9973000288009644,"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":0.9972000122070312,"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/encoding","display_name":"Encoding (memory)","score":0.6976742744445801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401779651641846},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.612721860408783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5954015851020813},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5659449696540833},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5457280874252319},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4680124521255493},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4418642222881317},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4254893660545349},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4153834879398346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28061503171920776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28058189153671265},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09214034676551819}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6976742744445801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401779651641846},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.612721860408783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5954015851020813},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5659449696540833},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5457280874252319},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4680124521255493},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4418642222881317},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4254893660545349},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4153834879398346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28061503171920776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28058189153671265},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09214034676551819},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/(sici)1098-1098(1999)10:2<151::aid-ima6>3.0.co;2-y","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1098-1098(1999)10:2<151::aid-ima6>3.0.co;2-y","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W101236918","https://openalex.org/W1975302149","https://openalex.org/W1977642150","https://openalex.org/W1977732568","https://openalex.org/W1978726697","https://openalex.org/W1980357388","https://openalex.org/W1981467185","https://openalex.org/W1987442276","https://openalex.org/W1990099508","https://openalex.org/W1995605620","https://openalex.org/W1996369530","https://openalex.org/W2000977302","https://openalex.org/W2004568910","https://openalex.org/W2005061357","https://openalex.org/W2005423095","https://openalex.org/W2008205484","https://openalex.org/W2009193081","https://openalex.org/W2013737143","https://openalex.org/W2019743436","https://openalex.org/W2020727186","https://openalex.org/W2021325625","https://openalex.org/W2028164504","https://openalex.org/W2028213769","https://openalex.org/W2028510080","https://openalex.org/W2032918887","https://openalex.org/W2035527253","https://openalex.org/W2036229846","https://openalex.org/W2048566309","https://openalex.org/W2048659456","https://openalex.org/W2052917854","https://openalex.org/W2054276177","https://openalex.org/W2067152104","https://openalex.org/W2067936205","https://openalex.org/W2068105919","https://openalex.org/W2068633006","https://openalex.org/W2069793971","https://openalex.org/W2070462538","https://openalex.org/W2074135298","https://openalex.org/W2074833624","https://openalex.org/W2075419202","https://openalex.org/W2078841894","https://openalex.org/W2082232887","https://openalex.org/W2083602018","https://openalex.org/W2084018195","https://openalex.org/W2087399108","https://openalex.org/W2088028877","https://openalex.org/W2088307891","https://openalex.org/W2088774650","https://openalex.org/W2092016980","https://openalex.org/W2102472393","https://openalex.org/W2103681669","https://openalex.org/W2116955553","https://openalex.org/W2130739159","https://openalex.org/W2133884101","https://openalex.org/W2135622428","https://openalex.org/W2138488051","https://openalex.org/W2141244461","https://openalex.org/W2142251675","https://openalex.org/W2148632362","https://openalex.org/W2149182442","https://openalex.org/W2153234727","https://openalex.org/W2171256890","https://openalex.org/W2333189058","https://openalex.org/W2562463829","https://openalex.org/W3022136271","https://openalex.org/W3030910590","https://openalex.org/W3046452920","https://openalex.org/W3096692202","https://openalex.org/W4206454995","https://openalex.org/W4242776319","https://openalex.org/W4255444560","https://openalex.org/W6804831793"],"related_works":["https://openalex.org/W1979161989","https://openalex.org/W2950200016","https://openalex.org/W4300495377","https://openalex.org/W2766855804","https://openalex.org/W1653012935","https://openalex.org/W2968452750","https://openalex.org/W4288263693","https://openalex.org/W2043758472","https://openalex.org/W4294560976","https://openalex.org/W1544336137"],"abstract_inverted_index":{"The":[0,66],"mathematical":[1],"principles":[2],"of":[3,21,28,34,53,69,93,127,132,145],"near-optimal":[4,120,133],"two-dimensional":[5],"spatial":[6,57],"encoding":[7,83,99,134],"for":[8,25,50,114,158],"dynamically":[9],"adaptive":[10,55],"magnetic":[11],"resonance":[12],"imaging":[13],"(MRI)":[14],"are":[15,38,47,61,122],"presented":[16,62,136],"together":[17],"with":[18],"a":[19],"survey":[20],"numerical":[22],"methods":[23,71,113],"applicable":[24],"the":[26,51,87,128,138,146],"computation":[27],"these":[29,70],"encodes.":[30],"Two":[31],"main":[32],"classes":[33],"linear":[35],"algebraic":[36],"techniques":[37],"identified\u2014rank":[39],"revealing":[40],"orthogonal":[41],"decompositions":[42],"and":[43,89,130,150],"Krylov":[44],"subspace":[45],"methods\u2014that":[46],"specially":[48],"suited":[49],"determination":[52],"efficient":[54],"non-Fourier":[56],"encoding.":[58],"Simulation":[59],"results":[60],"to":[63,75],"demonstrate":[64],"usage.":[65],"key":[67],"property":[68],"is":[72,102,135],"their":[73],"ability":[74],"compute":[76],"reduced":[77],"vector":[78,91,142],"basis":[79,143],"sets,":[80],"used":[81,157],"as":[82],"profiles,":[84],"that":[85,151],"span":[86],"column":[88],"row":[90],"subspaces":[92],"an":[94,153],"image":[95,149,154],"estimate":[96,155],"array.":[97],"Efficient":[98],"in":[100],"MRI":[101],"possible":[103],"since":[104],"MR":[105],"images":[106],"typically":[107],"represent":[108],"rank":[109],"deficient":[110],"matrices.":[111],"New":[112],"computing":[115],"hybrid":[116],"encodings":[117],"based":[118],"on":[119],"encodes":[121],"also":[123],"described.":[124],"An":[125],"analysis":[126],"applicability":[129],"efficiency":[131],"using":[137],"principal":[139],"angles":[140],"between":[141],"sets":[144],"theoretical":[147],"ideal":[148],"from":[152],"actually":[156],"acquisition.":[159],"\u00a9":[160],"1999":[161,174],"John":[162],"Wiley":[163],"&":[164],"Sons,":[165],"Inc.":[166],"Int":[167],"J":[168],"Imaging":[169],"Syst":[170],"Technol,":[171],"10,":[172],"151\u2013165,":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
