{"id":"https://openalex.org/W2523850218","doi":"https://doi.org/10.1007/978-3-319-46726-9_68","title":"XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching","display_name":"XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2523850218","doi":"https://doi.org/10.1007/978-3-319-46726-9_68","mag":"2523850218","pmid":"https://pubmed.ncbi.nlm.nih.gov/28090604"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46726-9_68","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_68","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46726-9_68.pdf","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":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46726-9_68.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100765638","display_name":"Geng Chen","orcid":"https://orcid.org/0000-0001-8350-6581"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Chen","raw_affiliation_strings":["Data Processing Center, Northwestern Polytechnical University, Xi'an, China; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","Data Processing Center, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Processing Center, Northwestern Polytechnical University, Xi'an, China; Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Data Processing Center, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091678461","display_name":"Yafeng Wu","orcid":"https://orcid.org/0009-0007-3157-5340"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafeng Wu","raw_affiliation_strings":["Data Processing Center, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Processing Center, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I114027177"]},{"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":2,"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":null,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9902","issue":null,"first_page":"587","last_page":"595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9829000234603882,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9394000172615051,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6527934670448303},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6171814203262329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607761800289154},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.517240583896637},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.492877721786499},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.48401138186454773},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46617579460144043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4578842222690582},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4530590772628784},{"id":"https://openalex.org/keywords/equidistant","display_name":"Equidistant","score":0.45083722472190857},{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.4453344941139221},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40733593702316284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3463858366012573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2938869595527649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24102190136909485},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13880467414855957},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13720914721488953},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1332952082157135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12528574466705322}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6527934670448303},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6171814203262329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607761800289154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.517240583896637},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.492877721786499},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.48401138186454773},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46617579460144043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4578842222690582},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4530590772628784},{"id":"https://openalex.org/C158245278","wikidata":"https://www.wikidata.org/wiki/Q4386982","display_name":"Equidistant","level":2,"score":0.45083722472190857},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.4453344941139221},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40733593702316284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3463858366012573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2938869595527649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24102190136909485},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13880467414855957},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13720914721488953},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1332952082157135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12528574466705322},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":"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":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-46726-9_68","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_68","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46726-9_68.pdf","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:28090604","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28090604","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:5223578","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5223578","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_68","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_68","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-319-46726-9_68.pdf","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":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1222441513","display_name":null,"funder_award_id":"R01 NS093842","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G1520354424","display_name":null,"funder_award_id":"R01 AG041721","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G1529334509","display_name":null,"funder_award_id":"R01 EB008374","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2391590095","display_name":null,"funder_award_id":"R01 MH100217","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G6623160951","display_name":null,"funder_award_id":"R01 EB006733","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7662282662","display_name":null,"funder_award_id":"R01 EB009634","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2523850218.pdf","grobid_xml":"https://content.openalex.org/works/W2523850218.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1867481500","https://openalex.org/W2073660032","https://openalex.org/W2080616291","https://openalex.org/W2136396015","https://openalex.org/W2142592339","https://openalex.org/W2148459430","https://openalex.org/W2169013230","https://openalex.org/W2196103734"],"related_works":["https://openalex.org/W2055230676","https://openalex.org/W2373708349","https://openalex.org/W2370379095","https://openalex.org/W2064284991","https://openalex.org/W2385837322","https://openalex.org/W2546071705","https://openalex.org/W2354382931","https://openalex.org/W3119520998","https://openalex.org/W2750128132","https://openalex.org/W2122029179"],"abstract_inverted_index":{"Noise":[0],"is":[1,189],"a":[2,94],"major":[3],"issue":[4],"influencing":[5],"quantitative":[6],"analysis":[7],"in":[8,32,93,132,138],"diffusion":[9,72,90],"MRI.":[10],"The":[11],"effects":[12],"of":[13,69,98,109,146],"noise":[14],"can":[15,29,134],"be":[16,30,135,195],"reduced":[17],"by":[18,180,184],"repeated":[19],"acquisitions,":[20],"but":[21],"this":[22,36,112],"leads":[23],"to":[24,45,57,71,116,119],"long":[25],"acquisition":[26],"times":[27],"that":[28,89,163],"unrealistic":[31],"clinical":[33],"settings.":[34],"For":[35],"reason,":[37],"post-acquisition":[38],"denoising":[39],"methods":[40],"have":[41],"been":[42,55,75],"widely":[43],"used":[44],"improve":[46],"SNR.":[47],"Among":[48],"existing":[49],"methods,":[50],"non-local":[51],"means":[52],"(NLM)":[53],"has":[54,74],"shown":[56],"produce":[58],"good":[59],"image":[60],"quality":[61],"with":[62,143],"edge":[63],"preservation.":[64],"However,":[65],"currently":[66],"the":[67,79,83,87,99,103,107,144,164,173,185,192,198],"application":[68],"NLM":[70,118,170],"MRI":[73],"mostly":[76],"focused":[77],"on":[78,156],"spatial":[80],"space":[81,96,108,142,169],"(i.e.,":[82,106],"x":[84,100,121,139,166],"-space),":[85],"despite":[86],"fact":[88],"data":[91,161],"live":[92],"combined":[95],"consisting":[97],"-space":[101,105,122],"and":[102,123,150,159,182,191],"q":[104,124,141,168],"wavevectors).":[110],"In":[111],"paper,":[113],"we":[114],"propose":[115],"extend":[117],"both":[120,157],"-space.":[125],"We":[126],"show":[127],"how":[128],"patch-matching,":[129],"as":[130,197],"required":[131],"NLM,":[133],"performed":[136],"concurrently":[137],"-":[140,167],"help":[145],"azimuthal":[147],"equidistant":[148],"projection":[149],"rotation":[151],"invariant":[152],"features.":[153],"Extensive":[154],"experiments":[155],"synthetic":[158],"real":[160],"confirm":[162],"proposed":[165],"(XQ-NLM)":[171],"outperforms":[172],"classic":[174],"NLM.":[175],"These":[176],"keywords":[177,193],"were":[178],"added":[179],"machine":[181],"not":[183],"authors.":[186],"This":[187],"process":[188],"experimental":[190],"may":[194],"updated":[196],"learning":[199],"algorithm":[200],"improves.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-10-07T00:00:00"}
