{"id":"https://openalex.org/W3217774167","doi":"https://doi.org/10.1109/icstcc52150.2021.9607186","title":"Statistical Filters for Processing and Reconstruction of 3D Brain MRI","display_name":"Statistical Filters for Processing and Reconstruction of 3D Brain MRI","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3217774167","doi":"https://doi.org/10.1109/icstcc52150.2021.9607186","mag":"3217774167"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc52150.2021.9607186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc52150.2021.9607186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5055477695","display_name":"Lenu\u021ba Pan\u0103","orcid":null},"institutions":[{"id":"https://openalex.org/I3122748864","display_name":"\"Dunarea de Jos\" University of Galati","ror":"https://ror.org/052sta926","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122748864"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Lenuta Pana","raw_affiliation_strings":["Faculty of Sciences and Environment The Modelling & Simulation Laboratory, Dunarea de Jos University of Galati, Galati, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Environment The Modelling & Simulation Laboratory, Dunarea de Jos University of Galati, Galati, Romania","institution_ids":["https://openalex.org/I3122748864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082973301","display_name":"Simona Moldovanu","orcid":"https://orcid.org/0000-0002-5934-329X"},"institutions":[{"id":"https://openalex.org/I3122748864","display_name":"\"Dunarea de Jos\" University of Galati","ror":"https://ror.org/052sta926","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122748864"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Simona Moldovanu","raw_affiliation_strings":["Faculty of Automation, Computers Sciences, Electronics and Electrical The Modelling & Simulation Laboratory, Dunarea de Jos University of Galati, Galati, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Automation, Computers Sciences, Electronics and Electrical The Modelling & Simulation Laboratory, Dunarea de Jos University of Galati, Galati, Romania","institution_ids":["https://openalex.org/I3122748864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035935386","display_name":"Lumini\u021ba Moraru","orcid":"https://orcid.org/0000-0002-9121-5714"},"institutions":[{"id":"https://openalex.org/I3122748864","display_name":"\"Dunarea de Jos\" University of Galati","ror":"https://ror.org/052sta926","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122748864"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Luminita Moraru","raw_affiliation_strings":["Faculty of Sciences and Environmen The Modelling & Simulation Laboratory, Dunarea de Jos University of Galati, Galati, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Environmen The Modelling & Simulation Laboratory, Dunarea de Jos University of Galati, Galati, Romania","institution_ids":["https://openalex.org/I3122748864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055477695"],"corresponding_institution_ids":["https://openalex.org/I3122748864"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50952614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125836610794067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7104654908180237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5822985172271729},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5782753825187683},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5578954219818115},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.546764612197876},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5126609206199646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5028323531150818},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48877736926078796},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48799461126327515},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48125025629997253},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4688504636287689},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4239365756511688},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.4190794825553894},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3146493434906006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3008819818496704},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15218695998191833},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12459611892700195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125836610794067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7104654908180237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5822985172271729},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5782753825187683},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5578954219818115},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.546764612197876},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5126609206199646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5028323531150818},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48877736926078796},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48799461126327515},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48125025629997253},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4688504636287689},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4239365756511688},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.4190794825553894},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3146493434906006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3008819818496704},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15218695998191833},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12459611892700195},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc52150.2021.9607186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc52150.2021.9607186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1262018197","https://openalex.org/W1580963329","https://openalex.org/W1968259903","https://openalex.org/W2007406620","https://openalex.org/W2028080091","https://openalex.org/W2047856763","https://openalex.org/W2139736062","https://openalex.org/W2332569964","https://openalex.org/W2603792164","https://openalex.org/W2741596282","https://openalex.org/W2792382464","https://openalex.org/W3010120753","https://openalex.org/W3151255044","https://openalex.org/W6742218538"],"related_works":["https://openalex.org/W2365412889","https://openalex.org/W996507331","https://openalex.org/W2366091560","https://openalex.org/W2368814124","https://openalex.org/W2154655659","https://openalex.org/W2547062837","https://openalex.org/W2361233022","https://openalex.org/W2007263266","https://openalex.org/W2038952732","https://openalex.org/W2801208768"],"abstract_inverted_index":{"Construction":[0],"of":[1,40,51,64,111,120,126,133,144,159],"3D":[2,65,78,122,135,148],"brain":[3,8,42,66,160],"MRI":[4,9,67,161],"images":[5,10,114,123,162],"from":[6,167],"2D":[7,112],"is":[11,31,115],"an":[12,16],"important":[13],"step":[14],"towards":[15],"accurate":[17],"diagnosis":[18],"and":[19,57,99,155,170,186],"for":[20,25,117],"a":[21,32,93,100,156],"correct":[22],"treatment":[23],"plan":[24],"any":[26],"disease.":[27],"The":[28,131,174],"volume":[29,128,146,149],"segmentation":[30],"challenging":[33],"task":[34],"due":[35],"to":[36,47,75],"the":[37,49,52,62,77,106,118,121,127,134,142,145,178,183],"poor":[38],"quality":[39],"DTI":[41],"images.":[43,68],"This":[44],"paper":[45],"aims":[46],"evaluate":[48],"efficacy":[50],"spatial":[53],"statistical":[54],"Maximum":[55],"(Max)":[56],"Minimum":[58,175],"(Min)":[59],"filters":[60,72],"in":[61],"construction":[63,80,119,136],"These":[69],"well-known":[70],"simple":[71],"were":[73,151],"used":[74,116],"analyze":[76],"image":[79,165,184],"together":[81],"with":[82],"noise":[83],"removal":[84],"techniques":[85],"operated":[86],"by":[87,124,181],"them.":[88],"Using":[89],"these":[90],"semi-processed":[91],"images,":[92],"binarization":[94],"operation":[95],"has":[96],"been":[97],"applied":[98],"similarity":[101],"investigation":[102],"was":[103,139],"performed":[104,152],"using":[105,153],"Dice":[107],"score.":[108],"A":[109],"dataset":[110],"processing":[113],"means":[125],"imaging":[129,137],"technique.":[130],"effectiveness":[132],"algorithm":[138],"investigated":[140],"through":[141],"mean":[143],"computation.":[147],"measurements":[150],"ImageJ":[154],"real-time":[157],"database":[158],"that":[163],"contains":[164],"stacks":[166],"both":[168],"healthy":[169],"ischemic":[171],"stroke":[172],"patients.":[173],"filter":[176],"provides":[177],"best":[179],"results":[180],"keeping":[182],"characteristics":[185],"local":[187],"geometries.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}