{"id":"https://openalex.org/W2295976185","doi":"https://doi.org/10.1109/embc.2015.7320127","title":"A novel 3D Cartesian random sampling strategy for Compressive Sensing Magnetic Resonance Imaging","display_name":"A novel 3D Cartesian random sampling strategy for Compressive Sensing Magnetic Resonance Imaging","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2295976185","doi":"https://doi.org/10.1109/embc.2015.7320127","mag":"2295976185","pmid":"https://pubmed.ncbi.nlm.nih.gov/26738027"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7320127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7320127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084685554","display_name":"Giuseppe Valvano","orcid":"https://orcid.org/0000-0001-5452-5708"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I4387153402","display_name":"Regione Toscana","ror":"https://ror.org/02r6c6d62","country_code":null,"type":"government","lineage":["https://openalex.org/I4387153402"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giuseppe Valvano","raw_affiliation_strings":["CNR-Regione Toscana, Pisa, PI, Italy","Department of Information Engineering, University of Pisa, Pisa, PI, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-Regione Toscana, Pisa, PI, Italy","institution_ids":["https://openalex.org/I4387153402"]},{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, PI, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006232447","display_name":"Nicola Martini","orcid":"https://orcid.org/0000-0003-3008-0163"},"institutions":[{"id":"https://openalex.org/I4387153402","display_name":"Regione Toscana","ror":"https://ror.org/02r6c6d62","country_code":null,"type":"government","lineage":["https://openalex.org/I4387153402"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Martini","raw_affiliation_strings":["CNR-Regione Toscana, Pisa, PI, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-Regione Toscana, Pisa, PI, Italy","institution_ids":["https://openalex.org/I4387153402"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044785782","display_name":"Maria Filomena Santarelli","orcid":"https://orcid.org/0000-0001-8332-7006"},"institutions":[{"id":"https://openalex.org/I4387153402","display_name":"Regione Toscana","ror":"https://ror.org/02r6c6d62","country_code":null,"type":"government","lineage":["https://openalex.org/I4387153402"]},{"id":"https://openalex.org/I4210106076","display_name":"Istituto di Fisiologia Clinica","ror":"https://ror.org/01kdj2848","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106076","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Filomena Santarelli","raw_affiliation_strings":["CNR, Institute of Clinical Physiology, Pisa, PI, Italy","CNR-Regione Toscana, Pisa, PI, Italy"],"affiliations":[{"raw_affiliation_string":"CNR, Institute of Clinical Physiology, Pisa, PI, Italy","institution_ids":["https://openalex.org/I4210106076"]},{"raw_affiliation_string":"CNR-Regione Toscana, Pisa, PI, Italy","institution_ids":["https://openalex.org/I4387153402"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051816288","display_name":"Dante Chiappino","orcid":"https://orcid.org/0009-0005-1314-7073"},"institutions":[{"id":"https://openalex.org/I4387153402","display_name":"Regione Toscana","ror":"https://ror.org/02r6c6d62","country_code":null,"type":"government","lineage":["https://openalex.org/I4387153402"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dante Chiappino","raw_affiliation_strings":["CNR-Regione Toscana, Pisa, PI, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-Regione Toscana, Pisa, PI, Italy","institution_ids":["https://openalex.org/I4387153402"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015471641","display_name":"Luigi Landini","orcid":"https://orcid.org/0000-0002-2534-2651"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Landini","raw_affiliation_strings":["Universita degli Studi di Pisa, Pisa, Toscana, IT"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Pisa, Pisa, Toscana, IT","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084685554"],"corresponding_institution_ids":["https://openalex.org/I108290504","https://openalex.org/I4387153402"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17005302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"471","issue":null,"first_page":"7502","last_page":"7505"},"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/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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9983000159263611,"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":0.9284307956695557},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.7008900046348572},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6788488030433655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6719939708709717},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6472668647766113},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.6159398555755615},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5324426889419556},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5073263049125671},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4626978039741516},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.447780042886734},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4108756184577942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35940390825271606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33692842721939087},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.2869015336036682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2175658643245697},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10522803664207458}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.9284307956695557},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.7008900046348572},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6788488030433655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719939708709717},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6472668647766113},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.6159398555755615},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5324426889419556},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5073263049125671},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4626978039741516},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.447780042886734},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4108756184577942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35940390825271606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33692842721939087},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.2869015336036682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2175658643245697},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10522803664207458},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2015.7320127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7320127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26738027","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26738027","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:arpi.unipi.it:11568/782362","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/782362","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2011710850","https://openalex.org/W2053313273","https://openalex.org/W2101675075","https://openalex.org/W2117649283","https://openalex.org/W2119667497","https://openalex.org/W2130320505","https://openalex.org/W2168399082","https://openalex.org/W2779572367","https://openalex.org/W2962904605"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W2896778670"],"abstract_inverted_index":{"In":[0,45,64],"this":[1],"work":[2],"we":[3],"propose":[4],"a":[5,23,101,150,159],"novel":[6],"acquisition":[7,139],"strategy":[8,19],"for":[9],"accelerated":[10],"3D":[11,24,40],"Compressive":[12,106,144],"Sensing":[13,107,145],"Magnetic":[14],"Resonance":[15],"Imaging":[16],"(CS-MRI).":[17],"This":[18,147],"is":[20,53,72],"based":[21],"on":[22],"cartesian":[25],"sampling":[26,41,125],"with":[27,35,56],"random":[28],"switching":[29],"of":[30,58,79,88,119,126,134,153],"the":[31,46,49,59,65,68,77,80,86,89,111,116,123,137,142,154],"frequency":[32,50,69,128],"encoding":[33,51,62,70],"direction":[34,52,71],"other":[36],"K-space":[37],"directions.":[38,63],"Two":[39],"strategies":[42,83,113,140],"are":[43],"presented.":[44],"first":[47],"strategy,":[48,67],"randomly":[54,73],"switched":[55],"one":[57],"two":[60],"phase":[61],"second":[66],"chosen":[74],"between":[75],"all":[76],"directions":[78],"K-Space.":[81],"These":[82],"can":[84,114],"lower":[85],"coherence":[87],"acquisition,":[90],"in":[91,149,158],"order":[92],"to":[93,99,122],"produce":[94],"reduced":[95],"aliasing":[96],"artifacts":[97],"and":[98,157],"achieve":[100],"better":[102,151],"image":[103],"quality":[104,152],"after":[105],"(CS)":[108],"reconstruction.":[109],"Furthermore,":[110],"proposed":[112,138],"reduce":[115],"typical":[117],"smoothing":[118],"CS":[120],"due":[121],"limited":[124],"high":[127],"locations.":[129],"We":[130],"demonstrated":[131],"by":[132],"means":[133],"simulations":[135],"that":[136],"outperformed":[141],"standard":[143],"acquisition.":[146],"results":[148],"reconstructed":[155],"images":[156],"greater":[160],"achievable":[161],"acceleration.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
