{"id":"https://openalex.org/W2525092671","doi":"https://doi.org/10.1007/978-3-319-46726-9_65","title":"Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation","display_name":"Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2525092671","doi":"https://doi.org/10.1007/978-3-319-46726-9_65","mag":"2525092671","pmid":"https://pubmed.ncbi.nlm.nih.gov/28066844"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46726-9_65","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-46726-9_65","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015071060","display_name":"Pew\u2010Thian Yap","orcid":"https://orcid.org/0000-0003-1489-2102"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pew-Thian Yap","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035683291","display_name":"Bin Dong","orcid":"https://orcid.org/0000-0003-1295-3362"},"institutions":[{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Dong","raw_affiliation_strings":["Beijing International Center for Mathematical Research, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing International Center for Mathematical Research, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419856","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-1777-788X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Department of Psychiatry & Behavioral Sciences, Stanford University, U.S.A","Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry & Behavioral Sciences, Stanford University, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015071060"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":5.5907,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9667332,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9902","issue":null,"first_page":"561","last_page":"569"},"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":0.9993000030517578,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9958000183105469,"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":0.6692327260971069},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5811317563056946},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5424178242683411},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46927133202552795},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38235923647880554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34911829233169556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692327260971069},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5811317563056946},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5424178242683411},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46927133202552795},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38235923647880554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34911829233169556},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":"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":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","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":"D015203","descriptor_name":"Reproducibility of Results","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":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-46726-9_65","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmid:28066844","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28066844","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":"Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:5207480","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5207480","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,"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":"Med Image Comput Comput Assist Interv","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-46726-9_65","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_65","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W67362084","https://openalex.org/W1866611211","https://openalex.org/W1983772857","https://openalex.org/W1988954604","https://openalex.org/W1989368986","https://openalex.org/W2025263014","https://openalex.org/W2067685645","https://openalex.org/W2080616291","https://openalex.org/W2146842127","https://openalex.org/W2158787690","https://openalex.org/W2223269260","https://openalex.org/W2963292690","https://openalex.org/W2963347434","https://openalex.org/W2963579802","https://openalex.org/W3098742616"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W4313731559","https://openalex.org/W2062195135"],"abstract_inverted_index":{"In":[0],"diffusion":[1,49],"MRI,":[2],"the":[3,16,77,124,130,141],"outcome":[4],"of":[5,18,48,90,94,108,129,143,185],"estimation":[6],"problems":[7],"can":[8,101,117],"often":[9],"be":[10,102,118],"improved":[11],"by":[12],"taking":[13],"into":[14],"account":[15],"correlation":[17],"diffusion-weighted":[19],"images":[20],"scanned":[21],"with":[22,195,202],"neighboring":[23],"wavevectors":[24],"in":[25,32,71,154,161,179],"<i>q</i>-space.":[26,72],"For":[27],"this":[28,33,144],"purpose,":[29],"we":[30,149],"propose":[31],"paper":[34],"to":[35,135],"employ":[36],"tight":[37],"wavelet":[38,95,112],"frames":[39,78],"constructed":[40,80],"on":[41,64,68,82,98],"non-flat":[42],"domains":[43],"for":[44,56,126],"multi-scale":[45],"sparse":[46],"representation":[47,52,107],"signals.":[50],"This":[51],"is":[53,188],"well":[54],"suited":[55],"signals":[57],"sampled":[58],"regularly":[59],"or":[60,67],"irregularly,":[61],"such":[62],"as":[63,104],"a":[65,91,105,175],"grid":[66],"multiple":[69],"shells,":[70],"Using":[73],"spectral":[74],"graph":[75,131,152,186],"theory,":[76],"are":[79],"based":[81],"quasi-affine":[83],"systems":[84],"(i.e.,":[85],"generalized":[86],"dilations":[87],"and":[88,114,121,159,173,199],"shifts":[89],"finite":[92],"collection":[93],"functions)":[96],"defined":[97],"graphs,":[99],"which":[100],"seen":[103],"discrete":[106],"manifolds.":[109],"The":[110,166,183],"associated":[111,167],"analysis":[113],"synthesis":[115],"transforms":[116],"computed":[119],"efficiently":[120],"accurately":[122],"without":[123],"need":[125],"explicit":[127],"eigen-decomposition":[128],"Laplacian,":[132],"allowing":[133],"scalability":[134],"very":[136],"large":[137],"problems.":[138],"We":[139],"demonstrate":[140],"effectiveness":[142,184],"representation,":[145],"generated":[146],"using":[147,163,192],"what":[148],"call":[150],"<i>tight":[151],"framelets</i>,":[153],"two":[155],"specific":[156],"applications:":[157],"denoising":[158],"super-resolution":[160],"<i>q</i>-space":[162],"\u2113<sub>0</sub>":[164],"regularization.":[165],"optimization":[168],"problem":[169,178],"involves":[170],"only":[171],"thresholding":[172],"solving":[174],"trivial":[176],"inverse":[177],"an":[180],"iterative":[181],"manner.":[182],"framelets":[187],"confirmed":[189],"via":[190],"evaluation":[191],"synthetic":[193],"data":[194,201],"noncentral":[196],"chi":[197],"noise":[198],"real":[200],"repeated":[203],"scans.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-10-07T00:00:00"}
