{"id":"https://openalex.org/W4401879484","doi":"https://doi.org/10.1109/access.2024.3449811","title":"MRI Denoising Using Pixel-Wise Threshold Selection","display_name":"MRI Denoising Using Pixel-Wise Threshold Selection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401879484","doi":"https://doi.org/10.1109/access.2024.3449811","pmid":"https://pubmed.ncbi.nlm.nih.gov/39640512"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3449811","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3449811","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3449811","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106752589","display_name":"Nimesh Srivastava","orcid":"https://orcid.org/0000-0002-5878-0738"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nimesh Srivastava","raw_affiliation_strings":["Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103147332","display_name":"Gyana Ranjan Sahoo","orcid":"https://orcid.org/0000-0002-9857-4314"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gyana Ranjan Sahoo","raw_affiliation_strings":["Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021823169","display_name":"Henning U. Voss","orcid":"https://orcid.org/0000-0003-2811-2074"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4210144145","display_name":"New York State University College of Human Ecology","ror":"https://ror.org/047g2xp14","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4210144145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henning U. Voss","raw_affiliation_strings":["Cornell MRI Facility, College of Human Ecology, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell MRI Facility, College of Human Ecology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I4210144145","https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007071549","display_name":"Sumit N. Niogi","orcid":"https://orcid.org/0000-0002-6432-0017"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4210144145","display_name":"New York State University College of Human Ecology","ror":"https://ror.org/047g2xp14","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4210144145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit N. Niogi","raw_affiliation_strings":["Cornell MRI Facility, College of Human Ecology, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell MRI Facility, College of Human Ecology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I4210144145","https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016966558","display_name":"Jack H. Freed","orcid":"https://orcid.org/0000-0003-4288-2585"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack H. Freed","raw_affiliation_strings":["Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082585459","display_name":"Madhur Srivastava","orcid":"https://orcid.org/0000-0002-2095-0412"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madhur Srivastava","raw_affiliation_strings":["Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5106752589"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9762,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76636518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"135730","last_page":"135745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9922000169754028,"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/noise-reduction","display_name":"Noise reduction","score":0.6835199594497681},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6509878635406494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5559892654418945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.553442120552063},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5155922770500183},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5120363831520081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42982080578804016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.387123167514801}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6835199594497681},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6509878635406494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5559892654418945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553442120552063},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5155922770500183},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5120363831520081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42982080578804016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.387123167514801}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2024.3449811","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3449811","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmid:39640512","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39640512","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 access : practical innovations, open solutions","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11619618","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11619618","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11619618/pdf/nihms-2026798.pdf","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:146f1c0091304813947bb1c32bfb0777","is_oa":true,"landing_page_url":"https://doaj.org/article/146f1c0091304813947bb1c32bfb0777","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 135730-135745 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3449811","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3449811","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1474942673","display_name":null,"funder_award_id":"R35GM151218","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G1631749026","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320310071","funder_display_name":"Indian Institute of Science"},{"id":"https://openalex.org/G4292667474","display_name":null,"funder_award_id":"2044599","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5270737256","display_name":null,"funder_award_id":"20445","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7991945102","display_name":null,"funder_award_id":"R24GM146107","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"},{"id":"https://openalex.org/F4320320251","display_name":"Royal Society of Chemistry","ror":"https://ror.org/025sbr097"},{"id":"https://openalex.org/F4320327182","display_name":"Indian Institute of Science Education and Research Mohali","ror":"https://ror.org/01vztzd79"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332622","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W208252763","https://openalex.org/W1812579945","https://openalex.org/W1899329334","https://openalex.org/W1978284443","https://openalex.org/W1983752053","https://openalex.org/W1989011241","https://openalex.org/W1995050389","https://openalex.org/W2001234856","https://openalex.org/W2001697618","https://openalex.org/W2003430666","https://openalex.org/W2012489043","https://openalex.org/W2014940628","https://openalex.org/W2024052501","https://openalex.org/W2033330967","https://openalex.org/W2034464268","https://openalex.org/W2046372571","https://openalex.org/W2056370875","https://openalex.org/W2059784307","https://openalex.org/W2073660032","https://openalex.org/W2089589639","https://openalex.org/W2099440229","https://openalex.org/W2105057406","https://openalex.org/W2105281165","https://openalex.org/W2105672072","https://openalex.org/W2108207814","https://openalex.org/W2109577576","https://openalex.org/W2112598800","https://openalex.org/W2114487863","https://openalex.org/W2123223785","https://openalex.org/W2131752914","https://openalex.org/W2132140814","https://openalex.org/W2133665775","https://openalex.org/W2134920263","https://openalex.org/W2137954509","https://openalex.org/W2138018102","https://openalex.org/W2141268261","https://openalex.org/W2144783994","https://openalex.org/W2148566313","https://openalex.org/W2150134853","https://openalex.org/W2150419410","https://openalex.org/W2155654390","https://openalex.org/W2160637922","https://openalex.org/W2165170333","https://openalex.org/W2324298973","https://openalex.org/W2341765229","https://openalex.org/W2596157620","https://openalex.org/W2749807356","https://openalex.org/W2767194403","https://openalex.org/W2773708533","https://openalex.org/W2790034322","https://openalex.org/W2791025323","https://openalex.org/W2793332263","https://openalex.org/W2903793907","https://openalex.org/W2927769236","https://openalex.org/W2946923551","https://openalex.org/W2963780177","https://openalex.org/W3007558288","https://openalex.org/W3014516197","https://openalex.org/W3105835428","https://openalex.org/W3213061890","https://openalex.org/W4287891158","https://openalex.org/W4315489147","https://openalex.org/W4364321988","https://openalex.org/W4380607244","https://openalex.org/W4382935305","https://openalex.org/W4386245957","https://openalex.org/W4399855060"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4312627788","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1,70,117],"imaging":[2],"(MRI)":[3],"has":[4,223],"emerged":[5],"as":[6,85],"a":[7,53,110],"promising":[8],"technique":[9,214],"for":[10,175,199],"non-invasive":[11],"medical":[12],"imaging.":[13],"The":[14,73,101,121,139,167,210],"primary":[15],"challenge":[16],"in":[17,135,141],"MRI":[18,30,200,231],"is":[19,79,91,104,184],"the":[20,39,94,99,115,136,155,180,187,193,203,207,216,224],"trade-off":[21],"between":[22],"image":[23,31,48],"visual":[24,126,164],"quality":[25,127,165,238],"and":[26,128,144,151,163,222,236],"acquisition":[27],"time.":[28],"Current":[29],"denoising":[32,46,201,213],"algorithms":[33],"employ":[34],"global":[35],"thresholding":[36,57,75],"to":[37,44,67,226,233],"denoise":[38,68],"whole":[40],"image,":[41],"which":[42,90],"leads":[43],"inadequate":[45],"or":[47],"distortion.":[49],"This":[50],"study":[51],"introduces":[52],"novel":[54],"pixel-wise":[55,74,212],"(localized)":[56],"approach":[58],"of":[59,76,109,148,154,172,206],"singular":[60,64,77,83],"vectors,":[61],"obtained":[62],"from":[63],"value":[65],"decomposition,":[66],"magnetic":[69,116],"(MR)":[71],"images.":[72,239],"vectors":[78],"performed":[80],"using":[81],"separate":[82],"values":[84,147],"thresholds":[86],"at":[87],"each":[88],"pixel,":[89],"advantageous":[92],"given":[93],"spatial":[95],"noise":[96,161],"variation":[97],"throughout":[98],"image.":[100,138],"method":[102],"presented":[103,188,208,211],"validated":[105],"on":[106],"MR":[107],"images":[108,123,177],"standard":[111,194],"phantom":[112],"approved":[113],"by":[114,219],"accreditation":[118],"program":[119],"(MRAP).":[120],"denoised":[122,156,176],"display":[124],"superior":[125,204],"recover":[129],"minute":[130],"structural":[131,168,182],"information":[132,183],"otherwise":[133],"suppressed":[134],"noisy":[137],"increase":[140],"peak-signal-to-noise-ratio":[142],"(PSNR)":[143],"contrast-to-noise-ratio":[145],"(CNR)":[146],"\u2265":[149,152,173],"18%":[150],"200%":[153],"images,":[157],"respectively,":[158],"imply":[159],"efficient":[160],"removal":[162],"enhancement.":[166],"similarity":[169],"index":[170],"(SSIM)":[171],"0.95":[174],"indicates":[178],"that":[179],"crucial":[181],"recovered":[185],"through":[186],"method.":[189,209],"A":[190],"comparison":[191],"with":[192],"filtering":[195],"methods":[196],"widely":[197],"used":[198],"establishes":[202],"performance":[205],"reduces":[215],"scan":[217],"time":[218],"2-3":[220],"times":[221],"potential":[225],"be":[227],"integrated":[228],"into":[229],"any":[230],"system":[232],"obtain":[234],"faster":[235],"better":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
