{"id":"https://openalex.org/W2042203136","doi":"https://doi.org/10.1109/icarcv.2012.6485383","title":"Image reconstruction of dynamic MRI based on adaptive motion estimation","display_name":"Image reconstruction of dynamic MRI based on adaptive motion estimation","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2042203136","doi":"https://doi.org/10.1109/icarcv.2012.6485383","mag":"2042203136"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2012.6485383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2012.6485383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)","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/A5021398655","display_name":"Yujun Lin","orcid":"https://orcid.org/0000-0001-6314-1722"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yujun Lin","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, China","School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025041058","display_name":"Qiaodi Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaodi Zhuang","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, China","School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101922567","display_name":"Ran Yang","orcid":"https://orcid.org/0000-0002-3258-3947"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Yang","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, China","School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021398655"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11331383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"36","issue":null,"first_page":"1586","last_page":"1590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9984999895095825,"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":0.7444918155670166},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.709665834903717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6979503631591797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854948401451111},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6285430192947388},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5523501038551331},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4734620451927185},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47315773367881775},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.473020076751709},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4571949541568756},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.42729681730270386},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.37055277824401855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2043256163597107},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.08869197964668274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444918155670166},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.709665834903717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6979503631591797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854948401451111},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6285430192947388},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5523501038551331},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4734620451927185},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47315773367881775},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.473020076751709},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4571949541568756},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.42729681730270386},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.37055277824401855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2043256163597107},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.08869197964668274},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2012.6485383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2012.6485383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W178701193","https://openalex.org/W1990407779","https://openalex.org/W2085959686","https://openalex.org/W2109472311","https://openalex.org/W2115907784","https://openalex.org/W2118375162","https://openalex.org/W2118676212","https://openalex.org/W2158928439","https://openalex.org/W3179287972","https://openalex.org/W6607201821","https://openalex.org/W6798262351"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1530267862","https://openalex.org/W2153529351","https://openalex.org/W2016848112","https://openalex.org/W1967654336","https://openalex.org/W1541334882","https://openalex.org/W2157391823","https://openalex.org/W2040149295","https://openalex.org/W2140285056","https://openalex.org/W2169116484"],"abstract_inverted_index":{"In":[0,36],"recent":[1],"years,":[2],"dynamic":[3,10],"MRI":[4],"plays":[5],"a":[6,90],"crucial":[7],"role":[8],"in":[9,18,42],"clinical":[11],"studies.":[12],"Since":[13],"there":[14],"are":[15],"significant":[16],"correlations":[17],"temporal":[19],"dimension,":[20],"the":[21,28,50,70,80,101,110,119,132],"methods":[22],"of":[23,27,52,72,82,92,112],"making":[24],"full":[25],"use":[26],"redundancy":[29],"between":[30],"frames":[31,103],"have":[32],"been":[33],"widely":[34],"concerned.":[35],"order":[37],"to":[38,48,131],"improve":[39],"under-sampled":[40,64],"rate":[41,65],"k-space,":[43],"an":[44],"effective":[45],"way":[46],"is":[47,98],"borrow":[49],"thoughts":[51],"motion":[53,73,76,83],"estimation":[54,74],"from":[55],"video":[56],"compression":[57],"coding.":[58],"This":[59],"paper":[60,115],"aims":[61],"at":[62],"improving":[63],"and":[66,75,86],"image":[67],"quality":[68],"through":[69,107],"technique":[71,91],"compensation.":[77],"Based":[78],"on":[79,118],"conception":[81],"vector":[84],"prediction":[85],"multiple":[87,135],"reference":[88],"frames,":[89],"adaptive":[93],"size":[94],"for":[95],"block":[96],"matching":[97],"proposed.":[99],"Then":[100],"non-sampled":[102],"can":[104,127],"be":[105,129],"reconstructed":[106],"interpolation.":[108],"For":[109],"sake":[111],"clarity,":[113],"this":[114],"only":[116],"focus":[117],"cases":[120,133],"with":[121,134],"single":[122],"receiver":[123,136],"coil,":[124],"but":[125],"it":[126],"also":[128],"applied":[130],"coils.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}