{"id":"https://openalex.org/W2096120349","doi":"https://doi.org/10.1109/mmbia.2012.6164759","title":"Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions","display_name":"Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2096120349","doi":"https://doi.org/10.1109/mmbia.2012.6164759","mag":"2096120349","pmid":"https://pubmed.ncbi.nlm.nih.gov/25356442"},"language":"en","primary_location":{"id":"doi:10.1109/mmbia.2012.6164759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmbia.2012.6164759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis","raw_type":"proceedings-article"},"type":"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/A5066921588","display_name":"Beno\u00eet Scherrer","orcid":"https://orcid.org/0000-0002-8798-8562"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benoit Scherrer","raw_affiliation_strings":["Department of Radiology, Children's Hospital, Boston, Boston, MA, USA","Children's Hospital Boston, Department of Radiology, 300 Longwood Avenue, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Children's Hospital, Boston, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113"]},{"raw_affiliation_string":"Children's Hospital Boston, Department of Radiology, 300 Longwood Avenue, MA, 02115, USA","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058812679","display_name":"Ali Gholipour","orcid":"https://orcid.org/0000-0001-7699-4564"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Gholipour","raw_affiliation_strings":["Department of Radiology, Children's Hospital, Boston, Boston, MA, USA","Children's Hospital Boston, Department of Radiology, 300 Longwood Avenue, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Children's Hospital, Boston, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113"]},{"raw_affiliation_string":"Children's Hospital Boston, Department of Radiology, 300 Longwood Avenue, MA, 02115, USA","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054913205","display_name":"Simon K. Warfield","orcid":"https://orcid.org/0000-0002-7659-3880"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon K. Warfield","raw_affiliation_strings":["Department of Radiology, Children's Hospital, Boston, Boston, MA, USA","Children's Hospital Boston, Department of Radiology, 300 Longwood Avenue, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Children's Hospital, Boston, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113"]},{"raw_affiliation_string":"Children's Hospital Boston, Department of Radiology, 300 Longwood Avenue, MA, 02115, USA","institution_ids":["https://openalex.org/I1288882113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066921588"],"corresponding_institution_ids":["https://openalex.org/I1288882113"],"apc_list":null,"apc_paid":null,"fwci":0.4981,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70699566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2012","issue":null,"first_page":"249","last_page":"254"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9987000226974487,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7161918878555298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814144611358643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5634490251541138},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.5486673712730408},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5334734320640564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5288986563682556},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.5112087726593018},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.5084737539291382},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4827551245689392},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4426077902317047},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.31636515259742737},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2527095079421997},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09845727682113647},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.09357011318206787},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06980976462364197}],"concepts":[{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7161918878555298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814144611358643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634490251541138},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.5486673712730408},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5334734320640564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5288986563682556},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.5112087726593018},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5084737539291382},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4827551245689392},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4426077902317047},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.31636515259742737},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2527095079421997},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09845727682113647},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.09357011318206787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06980976462364197},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mmbia.2012.6164759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmbia.2012.6164759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis","raw_type":"proceedings-article"},{"id":"pmid:25356442","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25356442","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,"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":"Proceedings. Workshop on Mathematical Methods in Biomedical Image Analysis","raw_type":null},{"id":"pmh:oai:europepmc.org:3176469","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4209701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2052288235","https://openalex.org/W2071472234","https://openalex.org/W2084086452","https://openalex.org/W2099547782","https://openalex.org/W2127564428","https://openalex.org/W2156740093","https://openalex.org/W2169309971"],"related_works":["https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W2122976425","https://openalex.org/W2088773039","https://openalex.org/W4382753160","https://openalex.org/W2284229495","https://openalex.org/W1994881304","https://openalex.org/W2028697747","https://openalex.org/W2537408670","https://openalex.org/W2034232486"],"abstract_inverted_index":{"Increasing":[0],"the":[1,17,34,78,82,88,117,166,184,204],"spatial":[2],"resolution":[3,58,196],"in":[4,67,198,210],"diffusion-weighted":[5],"imaging":[6,209],"(DWI)":[7],"is":[8,103,122],"challenging":[9],"with":[10,50,142],"a":[11,108,125,127,133,161],"single-shot":[12],"EPI":[13],"acquisition":[14,24,106,159,168],"because":[15],"of":[16,25,33,81,107,116,160],"decreased":[18],"SNR":[19],"and":[20,29,85,99,130,153,177,200,213],"T2*":[21],"relaxation.":[22],"Recently,":[23],"orthogonal":[26,68],"anisotropic":[27,144],"acquisitions":[28],"super-resolution":[30],"reconstruction":[31],"(SRR)":[32],"underlying":[35],"high-resolution":[36],"image":[37,135],"has":[38],"been":[39,48],"proposed":[40],"to":[41,72,95,206],"achieve":[42,207],"higher":[43],"resolution.":[44],"Promising":[45],"results":[46,157],"have":[47],"shown":[49],"simulations.":[51],"However,":[52],"practical":[53],"evidence":[54,186],"that":[55,149,187],"SRR":[56,121,154,172],"enables":[57],"enhancement":[59,197],"remains":[60],"unclear.":[61],"Particularly,":[62],"real":[63,143],"DWI":[64],"scans":[65],"acquired":[66],"directions":[69],"are":[70],"subject":[71],"very":[73],"different":[74],"distortion.":[75],"This":[76,181],"makes":[77],"precise":[79],"alignment":[80],"images":[83],"impossible":[84],"strongly":[86],"perturbs":[87],"reconstruction.":[89],"In":[90],"this":[91],"work":[92,182],"we":[93,147],"propose":[94],"combine":[96],"distortion":[97,151],"compensation":[98,102,152],"SRR.":[100],"Distortion":[101],"achieved":[104],"by":[105],"dual":[109],"echo":[110],"field":[111,118],"map,":[112],"providing":[113],"an":[114],"estimate":[115],"inhomogeneity.":[119],"The":[120,171],"formulated":[123],"as":[124],"maximum":[126],"posteriori":[128],"problem":[129],"relies":[131],"on":[132],"realistic":[134],"generation":[136],"model.":[137],"We":[138],"evaluate":[139],"our":[140],"approach":[141],"acquisitions.":[145],"Importantly,":[146],"demonstrate":[148],"combining":[150],"provides":[155,173,183],"better":[156,178],"than":[158],"single":[162],"isotropic":[163],"scan":[164],"for":[165],"same":[167],"duration":[169],"time.":[170],"more":[174],"detailed":[175],"structures":[176],"tractography":[179],"results.":[180],"first":[185],"SRR,":[188],"which":[189],"employs":[190],"conventional":[191],"SS-EPI":[192],"techniques,":[193],"may":[194,201],"enable":[195],"DWI,":[199],"dramatically":[202],"impact":[203],"way":[205],"DW":[208],"both":[211],"neuroscience":[212],"clinical":[214],"applications.":[215]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}