{"id":"https://openalex.org/W3202320502","doi":"https://doi.org/10.1145/3473465.3473467","title":"Static MRI Reconstruction Based on K-space and Image-domain Information","display_name":"Static MRI Reconstruction Based on K-space and Image-domain Information","publication_year":2021,"publication_date":"2021-06-23","ids":{"openalex":"https://openalex.org/W3202320502","doi":"https://doi.org/10.1145/3473465.3473467","mag":"3202320502"},"language":"en","primary_location":{"id":"doi:10.1145/3473465.3473467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473465.3473467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Information Technology and Computer Communications","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/A5067178136","display_name":"Zhenjing Li","orcid":"https://orcid.org/0000-0002-9380-4790"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjing Li","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102760399","display_name":"Jinxu Tao","orcid":"https://orcid.org/0009-0007-1004-046X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxu Tao","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002927395","display_name":"Wajiha Kainat","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wajiha Kainat","raw_affiliation_strings":["University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067178136"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17938443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI 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"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI 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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726988673210144},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6534109711647034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435588002204895},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6158150434494019},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5866507291793823},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5737504959106445},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.5228619575500488},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5187204480171204},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.486606240272522},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47905075550079346},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43968555331230164},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43407729268074036},{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.4301931858062744},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42319145798683167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35856887698173523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1443396806716919},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0786777138710022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726988673210144},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6534109711647034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435588002204895},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6158150434494019},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5866507291793823},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5737504959106445},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.5228619575500488},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5187204480171204},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.486606240272522},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47905075550079346},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43968555331230164},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43407729268074036},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.4301931858062744},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42319145798683167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35856887698173523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1443396806716919},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0786777138710022},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3473465.3473467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473465.3473467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Information Technology and Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G5501572480","display_name":null,"funder_award_id":"81527802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W212537071","https://openalex.org/W2141168890","https://openalex.org/W2742774307","https://openalex.org/W2757509933","https://openalex.org/W2795380527","https://openalex.org/W2889651574","https://openalex.org/W2889738717","https://openalex.org/W2991684829","https://openalex.org/W4234914952","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W1979782214","https://openalex.org/W2030107647","https://openalex.org/W2944761405","https://openalex.org/W2141440728","https://openalex.org/W2907262162","https://openalex.org/W2339684922","https://openalex.org/W2187562763","https://openalex.org/W36742526","https://openalex.org/W1996797998"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,103,142],"accelerate":[3],"the":[4,19,45,80,117,144],"imaging":[5],"process":[6],"of":[7,22,47,65,79,97],"MRI":[8,85,106,157],"(Magnetic":[9],"Resonance":[10,16],"Imaging),":[11],"CS-MRI":[12],"(Compressed":[13],"Sensing":[14],"Magnetic":[15],"Imaging)":[17],"utilizes":[18],"prior":[20],"information":[21,131],"MR":[23,28,118],"images":[24,29,119],"and":[25,39,52,62,123,129,139],"reconstructs":[26,116],"under-sampled":[27],"by":[30],"solving":[31],"an":[32,36,88],"optimization":[33,54],"problem":[34],"through":[35,59],"iterative":[37],"algorithm,":[38],"it":[40],"is":[41,93],"time":[42],"consuming.":[43],"With":[44],"emergence":[46],"deep":[48],"learning":[49],"technology,":[50],"more":[51,53],"problems":[55],"can":[56],"be":[57],"solved":[58],"well-designed":[60],"networks":[61],"large":[63],"amounts":[64],"training":[66],"data.":[67],"Therefore,":[68],"DL-Based":[69],"(Deep":[70],"Learning-Based)":[71],"methods":[72],"have":[73],"attracted":[74],"much":[75],"attention.":[76],"However,":[77],"most":[78],"current":[81],"work":[82],"simply":[83],"treats":[84],"reconstruction":[86],"as":[87],"image-to-image":[89],"task,":[90],"so":[91],"there":[92],"still":[94],"a":[95,111],"lot":[96],"room":[98],"for":[99],"improvement":[100],"in":[101,120],"how":[102],"better":[104],"integrate":[105],"information.":[107],"This":[108],"paper":[109],"proposes":[110],"new":[112],"DL-based":[113],"method,":[114],"which":[115],"both":[121],"k-space":[122],"image":[124],"domain":[125],"using":[126],"several":[127],"sub-networks":[128],"fuses":[130],"among":[132],"different":[133],"sub-networks.":[134],"We":[135],"also":[136],"used":[137],"down-sampling":[138],"up-sampling":[140],"pairs":[141],"reduce":[143],"computational":[145],"complexity.":[146],"Our":[147],"proposed":[148],"architecture":[149],"obtained":[150],"promising":[151],"experimental":[152],"results":[153],"on":[154],"Calgary-Campinas":[155],"Brain":[156],"datasets.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}