{"id":"https://openalex.org/W2057204524","doi":"https://doi.org/10.1109/isbi.2014.6867803","title":"Retrospective detection of interleaved slice acquisition parameters from fMRI data","display_name":"Retrospective detection of interleaved slice acquisition parameters from fMRI data","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2057204524","doi":"https://doi.org/10.1109/isbi.2014.6867803","mag":"2057204524","pmid":"https://pubmed.ncbi.nlm.nih.gov/26161244"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4494742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011068938","display_name":"David Parker","orcid":"https://orcid.org/0000-0001-8550-909X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Parker","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, New York, NY 10032. USA","Department of Biomedical Engineering,  Columbia University,  New York,  NY 10032,  USA;"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, New York, NY 10032. USA","institution_ids":[]},{"raw_affiliation_string":"Department of Biomedical Engineering,  Columbia University,  New York,  NY 10032,  USA;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036375889","display_name":"Georges Rotival","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georges Rotival","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, New York, NY 10032. USA","Department of Biomedical Engineering,  Columbia University,  New York,  NY 10032,  USA;"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, New York, NY 10032. USA","institution_ids":[]},{"raw_affiliation_string":"Department of Biomedical Engineering,  Columbia University,  New York,  NY 10032,  USA;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090489079","display_name":"Andrew F. Laine","orcid":"https://orcid.org/0000-0003-3797-0628"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Laine","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, New York, NY 10032. USA","Department of Biomedical Engineering,  Columbia University,  New York,  NY 10032,  USA;"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, New York, NY 10032. USA","institution_ids":[]},{"raw_affiliation_string":"Department of Biomedical Engineering,  Columbia University,  New York,  NY 10032,  USA;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090360945","display_name":"Qolamreza Razlighi","orcid":"https://orcid.org/0000-0001-9588-8062"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qolamreza R. Razlighi","raw_affiliation_strings":["Department of Neurology, and Biomedical Engineering, Columbia University, New York, NY 10032. USA"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, and Biomedical Engineering, Columbia University, New York, NY 10032. USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011068938"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.5224,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69415629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2014","issue":null,"first_page":"37","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.718085527420044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007992029190063},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.5915241241455078},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5286111235618591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45808401703834534},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.45281898975372314},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4383704960346222},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4298785328865051},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18185827136039734},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11094069480895996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08664479851722717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718085527420044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007992029190063},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.5915241241455078},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5286111235618591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45808401703834534},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.45281898975372314},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4383704960346222},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4298785328865051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18185827136039734},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11094069480895996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08664479851722717},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2014.6867803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:26161244","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26161244","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. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4494742","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4494742","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4494742","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4494742","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2008607322","https://openalex.org/W2051222601","https://openalex.org/W2224081466","https://openalex.org/W6689110111"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2191886813","https://openalex.org/W1986317414","https://openalex.org/W2163394011","https://openalex.org/W2795976185","https://openalex.org/W2353606679"],"abstract_inverted_index":{"To":[0],"minimize":[1],"slice":[2,9,20,30,95],"excitation":[3],"leakage":[4],"to":[5,35,61],"adjacent":[6],"slices,":[7],"interleaved":[8,19,94],"acquisition":[10,96],"is":[11,32,73,97],"nowadays":[12],"performed":[13],"regularly":[14],"in":[15,70,108,128,142],"fMRI":[16,52,112,147],"scanners.":[17],"In":[18,54],"acquisition,":[21],"the":[22,37,40,49,64,68,79,82,90,109,123],"number":[23],"of":[24,42,51,81,111,125,132,139],"slices":[25],"skipped":[26],"between":[27],"two":[28],"consecutive":[29],"acquisitions":[31],"often":[33],"referred":[34],"as":[36,115],"'interleave":[38],"parameter';":[39],"loss":[41],"this":[43,55,101,126],"parameter":[44,66],"can":[45],"be":[46],"catastrophic":[47],"for":[48],"analysis":[50],"data.":[53],"article":[56],"we":[57],"present":[58],"a":[59],"method":[60,76,102,127],"retrospectively":[62],"detect":[63],"interleave":[65,133],"and":[67,105,135],"axis":[69,91],"which":[71,86,93],"it":[72],"applied.":[74,98],"Our":[75],"relies":[77],"on":[78,92,103],"smoothness":[80],"temporal-distance":[83],"correlation":[84],"function,":[85],"becomes":[87],"disrupted":[88],"along":[89],"We":[99,120],"examined":[100,122],"simulated":[104],"real":[106,146],"data":[107],"presence":[110],"artifacts":[113],"such":[114],"physiological":[116],"noise,":[117],"motion,":[118],"etc.":[119],"also":[121],"reliability":[124],"detecting":[129],"different":[130],"types":[131],"parameters":[134],"demonstrated":[136],"an":[137],"accuracy":[138],"about":[140],"94%":[141],"more":[143],"than":[144],"1000":[145],"scans.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}