{"id":"https://openalex.org/W3092322049","doi":"https://doi.org/10.1109/access.2020.3028877","title":"Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction","display_name":"Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3092322049","doi":"https://doi.org/10.1109/access.2020.3028877","mag":"3092322049"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3028877","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028877","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3028877","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101909884","display_name":"Abdul Wahid","orcid":"https://orcid.org/0000-0003-3922-1591"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Abdul Wahid","raw_affiliation_strings":["International Islamic University, Islamabad, Pakistan","ORCiD","Department of Electrical Engineering, International Islamic University, Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-3922-1591","affiliations":[{"raw_affiliation_string":"International Islamic University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, International Islamic University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000529350","display_name":"Jawad Ali Shah","orcid":"https://orcid.org/0000-0002-0339-4370"},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Jawad Ali Shah","raw_affiliation_strings":["Electronic Section, UniKL British Malaysian Institute, Kuala Lumpur, Malaysia","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-0339-4370","affiliations":[{"raw_affiliation_string":"Electronic Section, UniKL British Malaysian Institute, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015646547","display_name":"Adnan Umar Khan","orcid":"https://orcid.org/0000-0002-0179-8320"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Adnan Umar Khan","raw_affiliation_strings":["International Islamic University, Islamabad, Pakistan","Department of Electrical Engineering, International Islamic University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Islamic University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]},{"raw_affiliation_string":"Department of Electrical Engineering, International Islamic University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026837722","display_name":"Manzoor Ahmed","orcid":"https://orcid.org/0000-0002-0459-9845"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manzoor Ahmed","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-0459-9845","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031114945","display_name":"Hanif Razali","orcid":null},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hanif Razali","raw_affiliation_strings":["Electronic Section, UniKL British Malaysian Institute, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Section, UniKL British Malaysian Institute, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101909884"],"corresponding_institution_ids":["https://openalex.org/I121243025"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1567,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86700945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"186222","last_page":"186232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8713957071304321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829201221466064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.681997537612915},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6747758388519287},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.6152418255805969},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5832759141921997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.519740104675293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44546568393707275},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44035103917121887},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4364529252052307},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4346391558647156},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4198532998561859},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3919776678085327},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.37702086567878723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2913215756416321},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2913111448287964},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.08180201053619385},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0690700113773346}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8713957071304321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829201221466064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.681997537612915},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6747758388519287},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.6152418255805969},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5832759141921997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.519740104675293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44546568393707275},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44035103917121887},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4364529252052307},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4346391558647156},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4198532998561859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3919776678085327},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.37702086567878723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2913215756416321},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2913111448287964},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.08180201053619385},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0690700113773346},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3028877","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028877","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0f99a9b6256d4122baa3bc01a9e6bffa","is_oa":true,"landing_page_url":"https://doaj.org/article/0f99a9b6256d4122baa3bc01a9e6bffa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 186222-186232 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3028877","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028877","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W2001587991","https://openalex.org/W2025950086","https://openalex.org/W2093621384","https://openalex.org/W2100556411","https://openalex.org/W2100926764","https://openalex.org/W2101675075","https://openalex.org/W2115706991","https://openalex.org/W2118103795","https://openalex.org/W2132742494","https://openalex.org/W2146420155","https://openalex.org/W2163973643","https://openalex.org/W2164278908","https://openalex.org/W2168668658","https://openalex.org/W2219727625","https://openalex.org/W2304034118","https://openalex.org/W2442117232","https://openalex.org/W2508457857","https://openalex.org/W2552808051","https://openalex.org/W2574952845","https://openalex.org/W2576230203","https://openalex.org/W2604388535","https://openalex.org/W2617128058","https://openalex.org/W2625429595","https://openalex.org/W2738743584","https://openalex.org/W2751669091","https://openalex.org/W2763081248","https://openalex.org/W2773335402","https://openalex.org/W2778924750","https://openalex.org/W2795198316","https://openalex.org/W2798559986","https://openalex.org/W2883105305","https://openalex.org/W2902719825","https://openalex.org/W2951236102","https://openalex.org/W2963047604","https://openalex.org/W2963197835","https://openalex.org/W2963288922","https://openalex.org/W2963676935","https://openalex.org/W2963747696","https://openalex.org/W2964121744","https://openalex.org/W2964251511","https://openalex.org/W2964268434","https://openalex.org/W2980868302","https://openalex.org/W2982448051","https://openalex.org/W3005368325","https://openalex.org/W3015993445","https://openalex.org/W3034223847","https://openalex.org/W3037946967","https://openalex.org/W3100075319","https://openalex.org/W3101326879","https://openalex.org/W3102722370","https://openalex.org/W3103372211","https://openalex.org/W3103586216","https://openalex.org/W3111988465","https://openalex.org/W4235713725","https://openalex.org/W4292363360","https://openalex.org/W4322615131","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6677645113","https://openalex.org/W6724411756","https://openalex.org/W6739495466"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2169904627","https://openalex.org/W2382972663","https://openalex.org/W2388133936","https://openalex.org/W2436826437","https://openalex.org/W2340242818","https://openalex.org/W2103001330","https://openalex.org/W2465351041","https://openalex.org/W2241396314","https://openalex.org/W2946877649"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"is":[3,16,65],"a":[4,87,112],"widely":[5],"used":[6],"technique":[7,15],"in":[8,141],"biomedical":[9],"signal":[10,28],"acquisition":[11,21],"and":[12,30,37,100,118,148],"reconstruction.":[13],"The":[14],"especially":[17],"useful":[18],"for":[19,23,52,109],"reducing":[20],"time":[22,53],"magnetic":[24],"resonance":[25],"imaging":[26],"(MRI)":[27],"acquisitions":[29],"reconstruction,":[31],"where":[32,62],"effects":[33],"of":[34,124,133,143,157],"patient":[35,45],"fatigue":[36],"Claustrophobia":[38],"need":[39],"mitigation.":[40],"In":[41],"addition":[42],"to":[43,79,154],"improving":[44],"experience,":[46],"faster":[47,144],"MRI":[48,139],"scans":[49],"are":[50],"important":[51],"sensitive":[54],"imaging,":[55],"such":[56],"as":[57,152],"functional":[58],"or":[59],"cardiac":[60],"MRI,":[61],"target":[63],"movement":[64],"unavoidable.":[66],"Inspired":[67],"from":[68,96],"recent":[69],"research":[70],"works":[71],"on":[72,116,137],"multi-layer":[73,88],"convolutional":[74],"sparse":[75],"coding":[76],"(ML-CSC)":[77],"theory":[78],"model":[80],"deep":[81,101],"neural":[82],"networks,":[83],"this":[84],"work":[85],"proposes":[86],"basis":[89],"pursuit":[90],"framework":[91,115,136],"which":[92],"combines":[93],"the":[94,125,131,134,155,158],"benefit":[95],"objective-based":[97],"CS":[98,163],"reconstructions":[99],"learning-based":[102],"reconstruction":[103],"by":[104],"employing":[105],"iterative":[106],"thresholding":[107],"algorithms":[108],"successfully":[110],"training":[111],"CS-MRI":[113],"restoration":[114,150],"GPU":[117],"reconstruct":[119],"test":[120],"images":[121],"using":[122],"parameters":[123],"trained":[126],"model.":[127],"Extensive":[128],"experiments":[129],"show":[130],"effectiveness":[132],"proposed":[135],"four":[138],"datasets":[140],"terms":[142],"convergence,":[145],"improved":[146],"PSNR/SSIM,":[147],"better":[149],"efficiency":[151],"compared":[153],"state":[156],"art":[159],"frameworks":[160],"with":[161],"different":[162],"ratios.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}