乐胖代购免代理版

{"id":"https://openalex.org/W2031356270","doi":"https://doi.org/10.1109/42.611345","title":"Multishot rosette trajectories for spectrally selective MR imaging","display_name":"Multishot rosette trajectories for spectrally selective MR imaging","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W2031356270","doi":"https://doi.org/10.1109/42.611345","mag":"2031356270","pmid":"https://pubmed.ncbi.nlm.nih.gov/9262995"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/42.611345","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"review","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"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/A5063426924","display_name":"Douglas C. Noll","orcid":"https://orcid.org/0000-0002-0983-3805"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"funder","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D.C. Noll","raw_affiliation_strings":["Dept. of Radiol., Pittsburgh Univ., PA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Radiol., Pittsburgh Univ., PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063426924"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.754,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":134,"citation_normalized_percentile":{"value":0.913257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"372","last_page":"377"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI 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/T10378","display_name":"Advanced MRI 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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.999,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11809","display_name":"Advanced NMR Techniques and Applications","score":0.9984,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.56180465},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48326355}],"concepts":[{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.56180465},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5266566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.48964792},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.48909265},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48326355},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4695609},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.46622303},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.46327755},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.44254875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41078955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34631264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3332019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27734604},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.14385343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11746174},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/42.611345","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/9262995","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"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":21,"referenced_works":["https://openalex.org/W1971571088","https://openalex.org/W1974670830","https://openalex.org/W1975099967","https://openalex.org/W1983744542","https://openalex.org/W2000229085","https://openalex.org/W2020623316","https://openalex.org/W2020961426","https://openalex.org/W2021925329","https://openalex.org/W2049600766","https://openalex.org/W2049863502","https://openalex.org/W2066125032","https://openalex.org/W2068518679","https://openalex.org/W2093857101","https://openalex.org/W2105672294","https://openalex.org/W2127195823","https://openalex.org/W2134879150","https://openalex.org/W2151456335","https://openalex.org/W2161823534","https://openalex.org/W2735156122","https://openalex.org/W3042062779","https://openalex.org/W4248742846"],"related_works":["https://openalex.org/W3106540953","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2560215812","https://openalex.org/W2434806794","https://openalex.org/W2292360832","https://openalex.org/W2137541921","https://openalex.org/W2102909376","https://openalex.org/W1996797998","https://openalex.org/W1994141795"],"abstract_inverted_index":{"In":[0,26],"nuclear":[1],"magnetic":[2,49,158],"resonance,":[3],"different":[4,10],"spectral":[5,16,73,165],"components":[6],"often":[7],"correspond":[8],"to":[9,90,133],"chemical":[11],"species":[12],"and":[13,44,59,64,178],"as":[14],"such,":[15],"selectivity":[17,166],"can":[18],"be":[19],"a":[20,31,82,98,111,151,172,184],"valuable":[21],"tool":[22],"for":[23,46,55,75,105,139,154],"diagnostic":[24],"imaging.":[25],"the":[27,56,91,114,136,164],"work":[28],"presented":[29],"here,":[30],"multishot":[32,67],"image":[33,143],"acquisition":[34],"method":[35,78,95,122,145,153],"based":[36,146],"upon":[37],"rosette":[38],"k-space":[39],"trajectories":[40],"has":[41],"been":[42],"developed":[43],"implemented":[45],"spectrally":[47],"selective":[48],"resonance":[50],"imaging":[51,77,186],"(MRI).":[52],"Parametric":[53],"forms":[54],"gradient":[57,68],"waveforms":[58],"design":[60,69],"constraints":[61],"are":[62,88,108,126,181],"derived,":[63],"an":[65],"example":[66],"is":[70,79,116,131,161,167],"presented.":[71],"The":[72],"behaviour":[74],"this":[76,94],"analyzed":[80],"in":[81,97,169,171,174],"simulation":[83],"model.":[84],"For":[85],"frequencies":[86,106],"that":[87,107],"near":[89],"resonant":[92],"frequency,":[93],"results":[96],"lower":[99],"intensity,":[100],"but":[101],"undistorted":[102],"image,":[103],"while":[104],"off-resonance":[109],"by":[110,123,128],"large":[112],"amount,":[113],"object":[115],"incoherently":[117],"dephased":[118],"into":[119],"noise.":[120],"A":[121],"which":[124,175],"acquisitions":[125],"delayed":[127],"small":[129,155],"amounts":[130,156],"introduced":[132],"further":[134],"reduce":[135],"residual":[137],"intensity":[138],"off-resonant":[140],"signals.":[141],"An":[142],"reconstruction":[144],"on":[147],"convolution":[148],"gridding,":[149],"including":[150],"correction":[152],"of":[157],"field":[159],"inhomogeneity,":[160],"implemented.":[162],"Finally,":[163],"demonstrated":[168],"vivo":[170],"study":[173],"both":[176],"water":[177],"lipid":[179],"images":[180],"generated":[182],"from":[183],"single":[185],"data":[187],"set.":[188]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2031356270","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-04-06T10:41:00.266315","created_date":"2016-06-24"}