{"id":"https://openalex.org/W2901822719","doi":"https://doi.org/10.1109/iisr.2018.8535814","title":"Accelerating Noise-Free MRI Reconstruction for Image-Guided Medical Robot Interventions","display_name":"Accelerating Noise-Free MRI Reconstruction for Image-Guided Medical Robot Interventions","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2901822719","doi":"https://doi.org/10.1109/iisr.2018.8535814","mag":"2901822719"},"language":"en","primary_location":{"id":"doi:10.1109/iisr.2018.8535814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisr.2018.8535814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)","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/A5100381793","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0002-7651-7730"},"institutions":[{"id":"https://openalex.org/I4210143338","display_name":"Yuxi Normal University","ror":"https://ror.org/048fp0x47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143338"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["The School of Physics and Electronic Engineering, Yuxi Normal University. Yuxi, Yunnan, P. R. China"],"affiliations":[{"raw_affiliation_string":"The School of Physics and Electronic Engineering, Yuxi Normal University. Yuxi, Yunnan, P. R. China","institution_ids":["https://openalex.org/I4210143338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061607840","display_name":"Zhenzhou An","orcid":"https://orcid.org/0000-0002-4032-5390"},"institutions":[{"id":"https://openalex.org/I4210143338","display_name":"Yuxi Normal University","ror":"https://ror.org/048fp0x47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhou An","raw_affiliation_strings":["The School of Mathematics and Information Technology, Yuxi Normal University, Yuxi, Yunnan, P. R. China"],"affiliations":[{"raw_affiliation_string":"The School of Mathematics and Information Technology, Yuxi Normal University, Yuxi, Yunnan, P. R. China","institution_ids":["https://openalex.org/I4210143338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015746241","display_name":"Haifeng Wang","orcid":"https://orcid.org/0000-0003-4229-3668"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, P. R. China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001829437","display_name":"Yuchou Chang","orcid":"https://orcid.org/0000-0002-9349-4008"},"institutions":[{"id":"https://openalex.org/I16277215","display_name":"University of Houston - Downtown","ror":"https://ror.org/05mj6fy81","country_code":"US","type":"education","lineage":["https://openalex.org/I16277215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchou Chang","raw_affiliation_strings":["Computer Science and Engineering Technology Department, University of Houston - Downtown, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Technology Department, University of Houston - Downtown, Houston, TX, USA","institution_ids":["https://openalex.org/I16277215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100381793"],"corresponding_institution_ids":["https://openalex.org/I4210143338"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19748734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"413","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI 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/T10378","display_name":"Advanced MRI 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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9988999962806702,"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/infinite-impulse-response","display_name":"Infinite impulse response","score":0.8094445466995239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7351878881454468},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5559511184692383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5275513529777527},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5179761648178101},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4674089252948761},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4621909558773041},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4462663531303406},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.42875492572784424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4184165596961975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3628457486629486},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2544250190258026},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2157832682132721},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20434284210205078},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.1873663365840912}],"concepts":[{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.8094445466995239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351878881454468},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5559511184692383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5275513529777527},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5179761648178101},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4674089252948761},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4621909558773041},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4462663531303406},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.42875492572784424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4184165596961975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3628457486629486},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2544250190258026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2157832682132721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20434284210205078},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.1873663365840912},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisr.2018.8535814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisr.2018.8535814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)","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":26,"referenced_works":["https://openalex.org/W1901667619","https://openalex.org/W1965646345","https://openalex.org/W1982985832","https://openalex.org/W1984303422","https://openalex.org/W2014547837","https://openalex.org/W2037653592","https://openalex.org/W2038103816","https://openalex.org/W2104021551","https://openalex.org/W2109577576","https://openalex.org/W2111388536","https://openalex.org/W2114678653","https://openalex.org/W2131529433","https://openalex.org/W2133551956","https://openalex.org/W2133758130","https://openalex.org/W2138005451","https://openalex.org/W2139257179","https://openalex.org/W2146059660","https://openalex.org/W2167233877","https://openalex.org/W2169851606","https://openalex.org/W2310913313","https://openalex.org/W2553971959","https://openalex.org/W2576414711","https://openalex.org/W2799221872","https://openalex.org/W4210583703","https://openalex.org/W4249760698","https://openalex.org/W6680110068"],"related_works":["https://openalex.org/W4300627070","https://openalex.org/W2065338826","https://openalex.org/W2505723433","https://openalex.org/W2417440389","https://openalex.org/W360219038","https://openalex.org/W2129450128","https://openalex.org/W4244157427","https://openalex.org/W2077525098","https://openalex.org/W1527797645","https://openalex.org/W2144778520"],"abstract_inverted_index":{"Image-guided":[0],"medical":[1,7],"robot":[2],"interventions":[3],"require":[4],"high":[5,12],"quality":[6,23],"image":[8,25,54],"as":[9,11],"well":[10],"imaging":[13,19],"speed.":[14],"Parallel":[15],"MRI":[16],"reconstruction":[17,55,68],"accelerates":[18],"speed":[20],"with":[21,196],"keeping":[22],"of":[24,59,97,177],"content.":[26],"An":[27],"infinite":[28],"impulse":[29,40],"response":[30,41],"(IIR)":[31],"model":[32,128,141,160],"has":[33,72,162],"been":[34,163],"proposed":[35,154,187],"to":[36,64,80,124,142],"improve":[37,65],"the":[38,73,84,88,98,111,118,126,144,157,186],"finite":[39],"(FIR)":[42],"model,":[43],"which":[44,161],"is":[45,95,109],"applied":[46,164],"in":[47,83,102,149,165,181],"generalized":[48],"auto-calibrating":[49],"partially":[50],"parallel":[51],"acquisitions":[52],"(GRAPPA)":[53],"method.":[56],"Recursive":[57],"terms":[58],"IIR":[60,150,200],"GRAPPA":[61,67,151,167,198,201],"are":[62],"able":[63],"conventional":[66,166,197],"quality.":[69],"However":[70],"it":[71],"limitation":[74],"that":[75],"outliers":[76],"and":[77,121,129,146,172,180,192,199],"noise":[78,145,191],"lead":[79],"poor":[81],"estimation":[82,123],"recursive":[85,171],"coefficients.":[86],"On":[87],"other":[89],"hand,":[90],"auto-regressive":[91],"moving":[92],"average":[93],"(ARMA)":[94],"one":[96],"most":[99],"common":[100],"models":[101],"time":[103,113],"series":[104,107,114],"analysis.":[105],"Time":[106],"analysis":[108],"using":[110,137],"system":[112],"data":[115],"obtained":[116],"by":[117,168],"curve":[119],"fitting":[120],"parameter":[122],"establish":[125],"mathematical":[127],"theoretical":[130],"methods.":[131],"We":[132],"propose":[133],"a":[134],"novel":[135],"scheme":[136],"nonlinear":[138,173],"ARMA":[139],"(NLARMA)":[140],"address":[143],"outlier":[147],"problems":[148],"reconstruction.":[152,202],"The":[153,175],"method":[155,188],"extends":[156],"linear":[158],"MA":[159],"incorporating":[169],"both":[170],"terms.":[174],"results":[176],"experimental":[178],"phantom":[179],"vivo":[182],"brain":[183],"datasets":[184],"illustrate":[185],"can":[189],"decrease":[190],"aliasing":[193],"artifacts":[194],"comparing":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
