{"id":"https://openalex.org/W2914760232","doi":"https://doi.org/10.57675/imist.prsm/ijist-v2i2.37","title":"An Agile and Robust Sparse Recovery Method for MR Images Based on Selective k-space Acquisition and Artifacts Suppression","display_name":"An Agile and Robust Sparse Recovery Method for MR Images Based on Selective k-space Acquisition and Artifacts Suppression","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2914760232","doi":"https://doi.org/10.57675/imist.prsm/ijist-v2i2.37","mag":"2914760232"},"language":"en","primary_location":{"id":"pmh:oai:innove.org/ijist:article/37","doi":null,"is_oa":true,"landing_page_url":"https://www.innove.org/ijist/index.php/ijist/article/view/37","pdf_url":"https://www.innove.org/ijist/index.php/ijist/article/download/37/23","source":{"id":"https://openalex.org/S7407067855","display_name":"International Journal of Information Science and Technology","issn_l":"2550-5114","issn":["2550-5114"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2550-5114","raw_type":"info:eu-repo/semantics/article"},"parent_works":[],"lineage":["https://openalex.org/W2914760232"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.innove.org/ijist/index.php/ijist/article/download/37/23","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038311286","display_name":"Henry Kiragu","orcid":"https://orcid.org/0009-0008-9976-2713","observed_orcids":["https://orcid.org/0009-0008-9976-2713"]},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Kiragu, Henry Macharia","raw_affiliation_strings":["University of nairobi ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of nairobi ,","institution_ids":["https://openalex.org/I12859529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119309908","display_name":"Elijah Mwangi","orcid":"https://orcid.org/0009-0007-3212-2482","observed_orcids":["https://orcid.org/0009-0007-3212-2482"]},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Mwangi, Elijah","raw_affiliation_strings":["University of nairobi ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of nairobi ,","institution_ids":["https://openalex.org/I12859529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005174948","display_name":"George Kamucha","orcid":"https://orcid.org/0000-0002-3959-7153","observed_orcids":["https://orcid.org/0000-0002-3959-7153"]},"institutions":[{"id":"https://openalex.org/I12859529","display_name":"University of Nairobi","ror":"https://ror.org/02y9nww90","country_code":"KE","type":"education","lineage":["https://openalex.org/I12859529"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Kamucha, George","raw_affiliation_strings":["University of nairobi ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of nairobi ,","institution_ids":["https://openalex.org/I12859529"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12859529"],"apc_list":null,"apc_paid":null,"fwci":0.1513,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45368316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2","issue":"2","first_page":"3","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.5321999788284302,"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":0.5321999788284302,"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":0.4496999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.00860000029206276,"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/magnetic-resonance-imaging","display_name":"magnetic resonance imaging","score":0.8550000190734863},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.7670000195503235},{"id":"https://openalex.org/keywords/sparse-signal-recovery","display_name":"sparse signal recovery","score":0.9369999766349792},{"id":"https://openalex.org/keywords/k-space-undersampling","display_name":"k-space undersampling","score":0.8220000267028809},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"greedy algorithm","score":0.7639999985694885},{"id":"https://openalex.org/keywords/artifact-removal","display_name":"artifact removal","score":0.843999981880188},{"id":"https://openalex.org/keywords/high-pass-filter","display_name":"high-pass filter","score":0.9020000100135803},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.6869999766349792},{"id":"https://openalex.org/keywords/scan-time-reduction","display_name":"scan time reduction","score":0.9520000219345093}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7740931510925293},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.6222286820411682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.604785144329071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.578174889087677},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5727246403694153},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.535847544670105},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5252596735954285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.504475474357605},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4808940887451172},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4598027765750885},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.36934131383895874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3581533432006836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28263068199157715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20380237698554993},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.19833651185035706},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:innove.org/ijist:article/37","doi":null,"is_oa":true,"landing_page_url":"https://www.innove.org/ijist/index.php/ijist/article/view/37","pdf_url":"https://www.innove.org/ijist/index.php/ijist/article/download/37/23","source":{"id":"https://openalex.org/S7407067855","display_name":"International Journal of Information Science and Technology","issn_l":"2550-5114","issn":["2550-5114"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2550-5114","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.57675/imist.prsm/ijist-v2i2.37","doi":"https://doi.org/10.57675/imist.prsm/ijist-v2i2.37","is_oa":true,"landing_page_url":"https://doi.org/10.57675/imist.prsm/ijist-v2i2.37","pdf_url":null,"source":{"id":"https://openalex.org/S4210198155","display_name":"International Journal of Information Science","issn_l":"2163-1921","issn":["2163-1921","2163-193X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2914760232","doi":null,"is_oa":false,"landing_page_url":"https://innove.org/ijist/index.php/ijist/article/view/37/23","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:innove.org/ijist:article/37","doi":null,"is_oa":true,"landing_page_url":"https://www.innove.org/ijist/index.php/ijist/article/view/37","pdf_url":"https://www.innove.org/ijist/index.php/ijist/article/download/37/23","source":{"id":"https://openalex.org/S7407067855","display_name":"International Journal of Information Science and Technology","issn_l":"2550-5114","issn":["2550-5114"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2550-5114","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2914760232.pdf","grobid_xml":"https://content.openalex.org/works/W2914760232.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2808261662","https://openalex.org/W3042401532","https://openalex.org/W2915484100","https://openalex.org/W2579476512","https://openalex.org/W4410513347","https://openalex.org/W2025076375","https://openalex.org/W2911788612","https://openalex.org/W2767463036","https://openalex.org/W3033839809","https://openalex.org/W2131884303"],"abstract_inverted_index":{"Magnetic":[0],"Resonance":[1],"Imaging":[2],"(MRI)":[3],"has":[4],"some":[5],"attractive":[6],"advantages":[7],"over":[8],"other":[9],"medical":[10,18],"imaging":[11],"techniques.":[12],"Its":[13],"widespread":[14],"application":[15],"as":[16,29,31,130,132],"a":[17,65,96,112,165,171,180],"diagnostic":[19],"tool":[20],"is":[21,49,89,116],"however":[22],"hindered":[23],"by":[24,63,76,161],"its":[25],"long":[26],"acquisition":[27,58],"time":[28,182],"well":[30,131],"reconstruction":[32,121,158],"artifacts.":[33,122],"A":[34],"proposed":[35,55,113,146,154,177],"Compressive":[36],"Sampling":[37],"(CS)":[38],"based":[39],"method":[40,56,100,155,178],"that":[41,74,152],"addresses":[42],"the":[43,77,86,102,107,110,120,133,142,145,153,157,176],"two":[44],"limitations":[45],"of":[46,59,68,109,144,184],"conventional":[47],"MRI":[48],"presented":[50],"in":[51,101],"this":[52],"paper.":[53],"The":[54,81,123],"involves":[57],"an":[60],"under-sampled":[61,87],"k-space":[62,88],"employing":[64],"smaller":[66],"number":[67],"phase":[69],"encoding":[70],"gradient":[71],"steps":[72],"than":[73],"dictated":[75],"Nyquist":[78],"sampling":[79],"rate.":[80],"MR":[82],"image":[83,174],"reconstructed":[84,94],"from":[85],"then":[90],"randomly":[91],"sampled":[92],"and":[93],"using":[95],"greedy":[97],"sparse":[98],"recovery":[99],"wavelet":[103],"domain.":[104],"To":[105],"improve":[106],"robustness":[108],"method,":[111],"high-pass":[114],"filter":[115],"used":[117,139],"to":[118,126,140],"suppress":[119],"Peak":[124],"Signal":[125],"Noise":[127],"Ratio":[128],"(PSNR)":[129],"Structural":[134],"SIMilarity":[135],"(SSIM)":[136],"measures":[137],"are":[138],"assess":[141],"performance":[143],"method.":[147],"Computer":[148],"simulation":[149],"results":[150],"demonstrate":[151],"reduces":[156],"concomitant":[159],"artifacts":[160],"1.75":[162],"dB":[163],"for":[164],"given":[166,172],"CS":[167],"percentage":[168],"measurement.":[169],"For":[170],"output":[173],"quality,":[175],"gives":[179],"scan":[181],"reduction":[183],"20%.":[185]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2019-02-21T00:00:00"}
