{"id":"https://openalex.org/W2903659349","doi":"https://doi.org/10.1109/tmi.2018.2884093","title":"SEGUE: A Speedy rEgion-Growing Algorithm for Unwrapping Estimated Phase","display_name":"SEGUE: A Speedy rEgion-Growing Algorithm for Unwrapping Estimated Phase","publication_year":2018,"publication_date":"2018-12-11","ids":{"openalex":"https://openalex.org/W2903659349","doi":"https://doi.org/10.1109/tmi.2018.2884093","mag":"2903659349","pmid":"https://pubmed.ncbi.nlm.nih.gov/30561341"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2884093","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2884093","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_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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmi.2018.2884093","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021623039","display_name":"Anita Karsa","orcid":"https://orcid.org/0000-0002-8648-3853"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anita Karsa","raw_affiliation_strings":["Department of Medical Physics and Biomedical Engineering, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8648-3853","affiliations":[{"raw_affiliation_string":"Department of Medical Physics and Biomedical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006887531","display_name":"Karin Shmueli","orcid":"https://orcid.org/0000-0001-7520-2975"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karin Shmueli","raw_affiliation_strings":["Department of Medical Physics and Biomedical Engineering, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7520-2975","affiliations":[{"raw_affiliation_string":"Department of Medical Physics and Biomedical Engineering, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021623039"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":{"value":1131,"currency":"EUR","value_usd":1219},"fwci":4.1616,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.95161667,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"38","issue":"6","first_page":"1347","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/phase-unwrapping","display_name":"Phase unwrapping","score":0.6778923273086548},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6210963726043701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5708640813827515},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.44940775632858276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3858552575111389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3681510090827942},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.13393738865852356},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12394216656684875},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10155099630355835}],"concepts":[{"id":"https://openalex.org/C3020654733","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Phase unwrapping","level":3,"score":0.6778923273086548},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6210963726043701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708640813827515},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.44940775632858276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3858552575111389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3681510090827942},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.13393738865852356},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12394216656684875},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10155099630355835},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","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},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2018.2884093","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2884093","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_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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:30561341","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30561341","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10065154","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10065154/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Transactions on Medical Imaging       (2018)      ","raw_type":"Article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10081079","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10081079/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the ISMRM 26th Annual Meeting &amp; Exhibition.    International Society for Magnetic Resonance in Medicine (ISMRM): Paris. France. (2018)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"doi:10.1109/tmi.2018.2884093","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2884093","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_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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1226579590","display_name":null,"funder_award_id":"EP/K02746/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1622632528","display_name":"EPSRC Centre for Doctoral Training in Medical Imaging","funder_award_id":"EP/L016478/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320286","display_name":"University College London","ror":"https://ror.org/02jx3x895"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W985804395","https://openalex.org/W1485368148","https://openalex.org/W1879055042","https://openalex.org/W1972877268","https://openalex.org/W1974155908","https://openalex.org/W1993852907","https://openalex.org/W2008602421","https://openalex.org/W2045707972","https://openalex.org/W2050900769","https://openalex.org/W2071881327","https://openalex.org/W2080611403","https://openalex.org/W2100809985","https://openalex.org/W2110930314","https://openalex.org/W2113523152","https://openalex.org/W2122152001","https://openalex.org/W2128851781","https://openalex.org/W2146336531","https://openalex.org/W2487298868","https://openalex.org/W2516855036","https://openalex.org/W2517983054","https://openalex.org/W2533047963","https://openalex.org/W2555165521","https://openalex.org/W2559405322","https://openalex.org/W2561584446","https://openalex.org/W2567119150","https://openalex.org/W2575802093","https://openalex.org/W2590638092","https://openalex.org/W2592986629","https://openalex.org/W2598575631","https://openalex.org/W2622693279","https://openalex.org/W2701432035","https://openalex.org/W2763980391","https://openalex.org/W2903659349","https://openalex.org/W2977883299","https://openalex.org/W3174267954","https://openalex.org/W4241315565","https://openalex.org/W4242796631","https://openalex.org/W6756907526","https://openalex.org/W6797200854"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Recent":[0],"magnetic":[1,9],"resonance":[2],"imaging":[3],"(MRI)":[4],"techniques,":[5],"such":[6],"as":[7],"quantitative":[8],"susceptibility":[10],"mapping,":[11],"employ":[12],"the":[13,64,143,165,192,215],"signal":[14],"phase":[15,30,44,73,115,189],"to":[16,93,121,191,199,250],"reveal":[17],"disease-related":[18],"changes":[19],"in":[20,35,134,139,151,206,214,257],"tissue":[21],"composition,":[22],"including":[23],"iron":[24],"or":[25],"calcium":[26],"content.":[27],"The":[28],"MRI":[29,39,72],"is":[31,63,238,243],"also":[32,173],"routinely":[33],"used":[34,256],"functional":[36],"and":[37,89,132,137,146,148,155,167,169,180,213,217,219,227,252],"diffusion":[38],"for":[40,58,68,83,112,127,240],"distortion":[41],"correction.":[42],"However,":[43],"images":[45,141,209,258],"are":[46],"wrapped":[47,86,208],"into":[48],"a":[49,84,95,100,108,244],"range":[50],"of":[51,142],"2\u03c0":[52],"radians.":[53],"Phase":[54],"region":[55],"expanding":[56],"labeller":[57],"unwrapping":[59,246],"discrete":[60],"estimates":[61],"(PRELUDE)":[62],"gold":[65,193],"standard":[66,101,194],"method":[67],"robust,":[69],"spatial,":[70],"3-D,":[71],"unwrapping.":[74],"Unfortunately,":[75],"PRELUDE's":[76],"computation":[77],"time":[78],"can":[79],"reach":[80],"15":[81],"min":[82],"severely":[85,207],"brain":[87],"image":[88,98],"nearly":[90],"10":[91],"h":[92],"unwrap":[94],"full":[96],"head-and-neck":[97],"on":[99,118],"PC.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106,172],"develop":[107],"Speedy":[109],"rEgion-Growing":[110],"algorithm":[111,247],"Unwrapping":[113],"Estimated":[114],"(SEGUE)":[116],"based":[117],"similar":[119],"principles":[120],"PRELUDE,":[122,204],"implemented":[123],"with":[124,260],"additional":[125],"methods":[126],"acceleration.":[128],"We":[129],"compared":[130],"PRELUDE":[131],"SEGUE":[133,184,196,242],"numerical":[135],"phantoms,":[136],"using":[138],"vivo":[140],"brain,":[144],"head":[145,166,216],"neck,":[147,168,218],"pelvis":[149],"acquired":[150,259],"4-5":[152],"healthy":[153],"volunteers":[154],"at":[156,210],"4-6":[157],"echo":[158],"times.":[159],"To":[160],"overcome":[161],"chemical-shift-induced":[162,232],"errors":[163,233],"within":[164,178,225],"pelvic":[170,220],"images,":[171],"investigated":[174],"applying":[175],"both":[176],"techniques":[177,224],"fat":[179,226],"water":[181,228],"masks":[182,229],"separately.":[183],"provided":[185],"almost":[186],"identical":[187],"unwrapped":[188],"maps":[190],"PRELUDE.":[195],"was":[197],"(1.5":[198],"70":[200],"times)":[201],"faster":[202],"than":[203],"especially":[205],"later":[211],"echoes":[212],"images.":[221],"Applying":[222],"these":[223],"separately":[230],"removed":[231],"successfully.":[234],"SEGUE's":[235],"MATLAB":[236],"implementation":[237],"available":[239],"download.":[241],"general":[245],"not":[248],"specific":[249],"MRI,":[251],"therefore":[253],"could":[254],"be":[255],"other":[261],"modalities.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
