{"id":"https://openalex.org/W1965407102","doi":"https://doi.org/10.1002/jmri.22321","title":"Fat\u2010water separation in dynamic objects using an UNFOLD\u2010like temporal processing","display_name":"Fat\u2010water separation in dynamic objects using an UNFOLD\u2010like temporal processing","publication_year":2010,"publication_date":"2010-09-29","ids":{"openalex":"https://openalex.org/W1965407102","doi":"https://doi.org/10.1002/jmri.22321","mag":"1965407102","pmid":"https://pubmed.ncbi.nlm.nih.gov/20882627","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/2951611"},"language":"en","primary_location":{"id":"doi:10.1002/jmri.22321","doi":"https://doi.org/10.1002/jmri.22321","is_oa":true,"landing_page_url":"https://doi.org/10.1002/jmri.22321","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.22321","source":{"id":"https://openalex.org/S132538424","display_name":"Journal of Magnetic Resonance Imaging","issn_l":"1053-1807","issn":["1053-1807","1522-2586"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"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":"Journal of Magnetic Resonance Imaging","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.22321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065835311","display_name":"Riad Ababneh","orcid":"https://orcid.org/0000-0001-8049-4140","observed_orcids":["https://orcid.org/0000-0001-8049-4140"]},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Riad Ababneh","raw_affiliation_strings":["Physics Department, Yarmouk University, Irbid, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physics Department, Yarmouk University, Irbid, Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023905379","display_name":"Jing Yuan","orcid":"https://orcid.org/0000-0001-8112-3608","observed_orcids":["https://orcid.org/0000-0001-8112-3608"]},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["Department of Diagnostic Radiology and Organ Imaging, Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology and Organ Imaging, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043690832","display_name":"Bruno Madore","orcid":"https://orcid.org/0000-0002-5606-8771","observed_orcids":["https://orcid.org/0000-0002-5606-8771"]},"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/I121934306","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":"Bruno Madore","raw_affiliation_strings":["Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA","Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, 75 Francis St., Boston, MA 02115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Harvard Medical School, Brigham and Women's Hospital, Department of Radiology, 75 Francis St., Boston, MA 02115","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043690832"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"],"apc_list":{"value":3680,"currency":"USD","value_usd":3680},"apc_paid":null,"fwci":0.4288,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64358234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"4","first_page":"962","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/water-fat-separation","display_name":"water-fat separation","score":0.9800000190734863},{"id":"https://openalex.org/keywords/dynamic-mri","display_name":"dynamic MRI","score":0.7310000061988831},{"id":"https://openalex.org/keywords/unfold","display_name":"UNFOLD","score":0.6600000262260437},{"id":"https://openalex.org/keywords/temporal-coding","display_name":"temporal coding","score":0.5329999923706055},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"temporal resolution","score":0.5239999890327454},{"id":"https://openalex.org/keywords/cardiac-cine-mri","display_name":"cardiac cine MRI","score":0.6949999928474426},{"id":"https://openalex.org/keywords/steady-state-free-precession","display_name":"steady-state free precession","score":0.9710000157356262}],"concepts":[{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.6875320672988892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264966726303101},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6104550361633301},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5220839381217957},{"id":"https://openalex.org/C3019323268","wikidata":"https://www.wikidata.org/wiki/Q48790829","display_name":"Gradient echo","level":3,"score":0.5151513814926147},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4901774525642395},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4481010138988495},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4412713646888733},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43311816453933716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3688587248325348},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.36370253562927246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35929542779922485},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3038538694381714},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22663599252700806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2209172248840332},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1296883523464203},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12912556529045105},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11199581623077393},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019028","descriptor_name":"Magnetic Resonance Imaging, Cine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1002/jmri.22321","doi":"https://doi.org/10.1002/jmri.22321","is_oa":true,"landing_page_url":"https://doi.org/10.1002/jmri.22321","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.22321","source":{"id":"https://openalex.org/S132538424","display_name":"Journal of Magnetic Resonance Imaging","issn_l":"1053-1807","issn":["1053-1807","1522-2586"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"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":"Journal of Magnetic Resonance Imaging","raw_type":"journal-article"},{"id":"pmid:20882627","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20882627","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_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of magnetic resonance imaging : JMRI","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2951611","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC2951611/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"J Magn Reson Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1002/jmri.22321","doi":"https://doi.org/10.1002/jmri.22321","is_oa":true,"landing_page_url":"https://doi.org/10.1002/jmri.22321","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.22321","source":{"id":"https://openalex.org/S132538424","display_name":"Journal of Magnetic Resonance Imaging","issn_l":"1053-1807","issn":["1053-1807","1522-2586"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"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":"Journal of Magnetic Resonance Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3307513326","display_name":"IMAGE GUIDED THERAPY CENTER","funder_award_id":"U41RR019703","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G5678192139","display_name":"Method for faster ultrasound imaging","funder_award_id":"R21EB009503","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8691386204","display_name":"Free-Breathing 3D Cardiac MR Imaging","funder_award_id":"R01HL073319","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1965407102.pdf","grobid_xml":"https://content.openalex.org/works/W1965407102.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1973387950","https://openalex.org/W1990015886","https://openalex.org/W2017341522","https://openalex.org/W2024949718","https://openalex.org/W2026084370","https://openalex.org/W2026171866","https://openalex.org/W2050017853","https://openalex.org/W2054744318","https://openalex.org/W2066125032","https://openalex.org/W2068229928","https://openalex.org/W2080612178","https://openalex.org/W2087122578","https://openalex.org/W2088764776","https://openalex.org/W2108435398","https://openalex.org/W2110661872","https://openalex.org/W2111956481","https://openalex.org/W2123346066","https://openalex.org/W2128299740","https://openalex.org/W2140117737","https://openalex.org/W2160885096","https://openalex.org/W4239606295"],"related_works":["https://openalex.org/W2150095957","https://openalex.org/W1993613096","https://openalex.org/W1959504483","https://openalex.org/W2003839928","https://openalex.org/W2034756476","https://openalex.org/W2054539631","https://openalex.org/W2149635622","https://openalex.org/W2128047861","https://openalex.org/W2080612178","https://openalex.org/W2766289626"],"abstract_inverted_index":{"PURPOSE:":[0],"To":[1],"separate":[2],"fat":[3,20,28,98,193],"and":[4,18,29,114,148,165,171,194],"water":[5,30,117,195],"signals":[6,31,99,196],"in":[7,16,24,37,54,77,102,131,141,182,199],"dynamic":[8],"imaging.":[9],"Because":[10],"important":[11],"features":[12],"may":[13,21,32,69],"be":[14,33,111],"embedded":[15],"fat,":[17],"because":[19],"take":[22],"part":[23],"disease":[25],"processes,":[26],"separating":[27],"of":[34,40,192],"great":[35],"importance":[36],"a":[38,74,103],"number":[39],"clinical":[41],"applications.":[42],"This":[43],"work":[44],"aims":[45,149],"to":[46,58,94,96,100,179],"achieve":[47],"such":[48],"separation":[49,191],"at":[50,150,162],"nearly":[51],"no":[52],"loss":[53],"temporal":[55,78,133],"resolution":[56],"compared":[57],"usual,":[59],"nonseparated":[60],"acquisitions.":[61],"In":[62,177],"contrast,":[63],"the":[64,88,124,129,132,142],"well-known":[65],"3-point":[66],"Dixon":[67],"method":[68,159],"cause":[70],"as":[71,73],"much":[72],"3-fold":[75],"reduction":[76],"resolution.":[79],"MATERIALS":[80],"AND":[81],"METHODS:":[82],"The":[83,119,158],"proposed":[84],"approach":[85],"involves":[86,139],"modulating":[87],"echo":[89],"time":[90],"TE":[91],"from":[92,116,123,185],"frame":[93],"frame,":[95],"force":[97],"behave":[101],"conspicuous":[104],"manner":[105],"through":[106],"time,":[107],"so":[108],"they":[109],"can":[110],"readily":[112],"identified":[113],"separated":[115],"signals.":[118],"strategy":[120],"is":[121],"inspired":[122],"\"unaliasing":[125],"by":[126],"Fourier":[127],"encoding":[128],"overlaps":[130],"direction\"":[134],"(UNFOLD)":[135],"method,":[136],"although":[137],"UNFOLD":[138],"changes":[140],"sampling":[143],"function":[144],"rather":[145,154],"than":[146,155],"TE,":[147],"suppressing":[151],"aliased":[152],"material":[153],"fat.":[156],"RESULTS:":[157],"was":[160,197],"implemented":[161],"1.5":[163],"T":[164],"3":[166],"T,":[167],"on":[168],"cardiac":[169],"cine":[170],"multiframe":[172],"steady-state":[173],"free":[174],"precession":[175],"sequences.":[176],"addition":[178],"phantom":[180],"results,":[181],"vivo":[183],"results":[184],"volunteers":[186],"are":[187],"presented.":[188],"CONCLUSION:":[189],"Good":[190],"achieved":[198],"all":[200],"cases.":[201]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}