{"id":"https://openalex.org/W2765499685","doi":"https://doi.org/10.1109/tbme.2017.2770088","title":"Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification","display_name":"Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification","publication_year":2017,"publication_date":"2017-11-03","ids":{"openalex":"https://openalex.org/W2765499685","doi":"https://doi.org/10.1109/tbme.2017.2770088","mag":"2765499685","pmid":"https://pubmed.ncbi.nlm.nih.gov/29989957"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2017.2770088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2017.2770088","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-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/A5010489255","display_name":"Saideh Ferdowsi","orcid":"https://orcid.org/0000-0002-8887-0339"},"institutions":[{"id":"https://openalex.org/I176861719","display_name":"University of Shahrood","ror":"https://ror.org/00yqvtm78","country_code":"IR","type":"education","lineage":["https://openalex.org/I176861719"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saideh Ferdowsi","raw_affiliation_strings":["Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran","institution_ids":["https://openalex.org/I176861719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024631330","display_name":"Vahid Abolghasemi","orcid":"https://orcid.org/0000-0002-2151-5180"},"institutions":[{"id":"https://openalex.org/I176861719","display_name":"University of Shahrood","ror":"https://ror.org/00yqvtm78","country_code":"IR","type":"education","lineage":["https://openalex.org/I176861719"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Vahid Abolghasemi","raw_affiliation_strings":["Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran","institution_ids":["https://openalex.org/I176861719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I176861719"],"apc_list":null,"apc_paid":null,"fwci":0.4387,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67670714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"65","issue":"8","first_page":"1717","last_page":"1724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.7469065189361572},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5633847713470459},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5321340560913086},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.508456826210022},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.499495267868042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4858400523662567},{"id":"https://openalex.org/keywords/metabolite","display_name":"Metabolite","score":0.4672170877456665},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.46147534251213074},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42666006088256836},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4145238697528839},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40840601921081543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3952365517616272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3762884736061096},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29652872681617737},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.18192270398139954},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.09491842985153198}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7469065189361572},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5633847713470459},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5321340560913086},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.508456826210022},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.499495267868042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4858400523662567},{"id":"https://openalex.org/C2777477808","wikidata":"https://www.wikidata.org/wiki/Q407595","display_name":"Metabolite","level":2,"score":0.4672170877456665},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.46147534251213074},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42666006088256836},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4145238697528839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40840601921081543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3952365517616272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3762884736061096},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29652872681617737},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.18192270398139954},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.09491842985153198},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, 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":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2017.2770088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2017.2770088","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:29989957","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29989957","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 bio-medical engineering","raw_type":null},{"id":"pmh:oai:repository.essex.ac.uk:27065","is_oa":false,"landing_page_url":"http://repository.essex.ac.uk/27065/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322667","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1193367581","https://openalex.org/W1866575336","https://openalex.org/W1993029710","https://openalex.org/W1995933760","https://openalex.org/W1997224684","https://openalex.org/W1997352747","https://openalex.org/W2003167205","https://openalex.org/W2033061754","https://openalex.org/W2037856229","https://openalex.org/W2051783722","https://openalex.org/W2052802018","https://openalex.org/W2053923225","https://openalex.org/W2057570479","https://openalex.org/W2062229924","https://openalex.org/W2065691495","https://openalex.org/W2066284085","https://openalex.org/W2083585474","https://openalex.org/W2095930741","https://openalex.org/W2121371800","https://openalex.org/W2121905812","https://openalex.org/W2125135670","https://openalex.org/W2135458133","https://openalex.org/W2140958581","https://openalex.org/W2159022845","https://openalex.org/W2170787621","https://openalex.org/W2309028480","https://openalex.org/W2318650256","https://openalex.org/W2503233733","https://openalex.org/W3124054211"],"related_works":["https://openalex.org/W1964120219","https://openalex.org/W2353818130","https://openalex.org/W2023535731","https://openalex.org/W2012637221","https://openalex.org/W2071304338","https://openalex.org/W3156280873","https://openalex.org/W2543161807","https://openalex.org/W2979479914","https://openalex.org/W2623077852","https://openalex.org/W2741031216"],"abstract_inverted_index":{"An":[0],"observed":[1,82,116],"magnetic":[2,57,118],"resonance":[3,58,119],"(MR)":[4],"spectrum":[5,25,50],"is":[6,53,65,73,109,177],"composed":[7],"of":[8,11,18,20,32,89,103,126,144,158,163,173,192,203],"a":[9,42,74,105,168],"set":[10],"metabolites":[12,19,88,102,202],"spectrum,":[13],"baseline,":[14],"and":[15,84,121,154,182,200],"noise.":[16],"Quantification":[17],"interest":[21,90,159],"in":[22,67,134],"the":[23,115,127,141,149,164,174,190,193],"MR":[24],"provides":[26],"great":[27],"opportunity":[28],"for":[29],"early":[30],"diagnosis":[31],"dangerous":[33],"disease":[34],"such":[35],"as":[36],"brain":[37],"tumors.":[38],"In":[39,61,95],"this":[40,68],"paper,":[41],"novel":[43,151,169],"spectral":[44,76],"factorization":[45,77],"approach":[46],"based":[47,147],"on":[48,148],"singular":[49],"analysis":[51],"(SSA)":[52],"proposed":[54,71,128,175,194],"to":[55,91,97,196],"quantify":[56],"spectroscopy":[59],"(MRS).":[60],"addition,":[62],"baseline":[63,133,199],"removal":[64],"performed":[66],"study.":[69],"The":[70,124,186],"method":[72,129,176],"semiblind":[75],"algorithm":[78],"that":[79,111],"jointly":[80],"uses":[81],"signal":[83,120,146],"prior":[85,99,122],"knowledge":[86,100],"about":[87,101],"improve":[92],"metabolite":[93,157],"separation.":[94],"order":[96],"incorporate":[98],"interest,":[104],"new":[106],"covariance":[107,152],"matrix":[108],"suggested":[110,150],"exploits":[112],"correlation":[113],"between":[114],"nuclear":[117],"knowledge.":[123],"objectives":[125],"are":[130],"1)":[131],"removing":[132],"frequency":[135],"domain":[136],"using":[137,167,179],"SSA;":[138],"2)":[139],"extracting":[140],"underlying":[142],"components":[143,166],"MRS":[145,184,204],"matrix;":[153],"3)":[155],"reconstructing":[156],"by":[160],"combining":[161],"some":[162],"extracted":[165],"cost":[170],"function.":[171],"Performance":[172],"evaluated":[178],"both":[180],"synthetic":[181],"real":[183],"signals.":[185],"obtained":[187],"results":[188],"show":[189],"effectiveness":[191],"technique":[195],"accurately":[197],"remove":[198],"extract":[201],"signal.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
