{"id":"https://openalex.org/W2109073422","doi":"https://doi.org/10.1109/icassp.2011.5946463","title":"Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space","display_name":"Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2109073422","doi":"https://doi.org/10.1109/icassp.2011.5946463","mag":"2109073422"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006764308","display_name":"Daniel S. Weller","orcid":"https://orcid.org/0000-0001-9818-7325"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel S. Weller","raw_affiliation_strings":["Department of EECS, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043044297","display_name":"Jon\u0308athan R. Polimeni","orcid":"https://orcid.org/0000-0002-1348-1179"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan R. Polimeni","raw_affiliation_strings":["A. A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA","Department of Radiology, Harvard Medical School, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A. A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I4210127055"]},{"raw_affiliation_string":"Department of Radiology, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084386176","display_name":"Leo Grady","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leo Grady","raw_affiliation_strings":["Department of Image Analytics and Informatics, Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Image Analytics and Informatics, Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005761034","display_name":"Lawrence L. Wald","orcid":"https://orcid.org/0000-0001-8278-6307"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence L. Wald","raw_affiliation_strings":["A. A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA","Department of Radiology, Harvard Medical School, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A. A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I4210127055"]},{"raw_affiliation_string":"Department of Radiology, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021214192","display_name":"Elfar Adalsteinsson","orcid":"https://orcid.org/0000-0002-7637-2914"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elfar Adalsteinsson","raw_affiliation_strings":["Department of EECS, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064518537","display_name":"Vivek K Goyal","orcid":"https://orcid.org/0000-0001-8471-7049"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek K Goyal","raw_affiliation_strings":["Department of EECS, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"556"},"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":0.9997000098228455,"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":0.9983999729156494,"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/undersampling","display_name":"Undersampling","score":0.999294638633728},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7396758794784546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640659749507904},{"id":"https://openalex.org/keywords/magnetic-resonance-elastography","display_name":"Magnetic resonance elastography","score":0.42655065655708313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3502036929130554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3356470465660095},{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.11083301901817322},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10898438096046448},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10803729295730591}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.999294638633728},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7396758794784546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640659749507904},{"id":"https://openalex.org/C2779124084","wikidata":"https://www.wikidata.org/wiki/Q6731597","display_name":"Magnetic resonance elastography","level":4,"score":0.42655065655708313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3502036929130554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3356470465660095},{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.11083301901817322},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10898438096046448},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10803729295730591},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.432.6935","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.6935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.rle.mit.edu/stir/documents/WellerPGWAG_ICASSP2011.pdf","raw_type":"text"}],"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/W1971500825","https://openalex.org/W2013816305","https://openalex.org/W2050551672","https://openalex.org/W2101675075","https://openalex.org/W2111388536","https://openalex.org/W2145096794","https://openalex.org/W2160396672","https://openalex.org/W2296616510","https://openalex.org/W3090864985","https://openalex.org/W3099919332","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W4385544319","https://openalex.org/W3011226087","https://openalex.org/W2212041357","https://openalex.org/W2895530314","https://openalex.org/W3214931932","https://openalex.org/W1959447026","https://openalex.org/W2052082011","https://openalex.org/W2903019797","https://openalex.org/W2218273114"],"abstract_inverted_index":{"Both":[0],"compressed":[1],"sensing":[2],"(CS)":[3],"and":[4,40,50,56,59,65,71],"parallel":[5,41],"imaging":[6,19],"effectively":[7],"reconstruct":[8],"magnetic":[9],"resonance":[10],"images":[11],"from":[12],"undersampled":[13],"data.":[14,73],"Combining":[15],"both":[16,38,57,69],"methods":[17],"enables":[18],"with":[20,87,102],"greater":[21],"undersampling":[22,67,80,92],"than":[23],"accomplished":[24],"previously.":[25],"This":[26],"paper":[27],"investigates":[28],"the":[29,75,79],"choice":[30],"of":[31],"a":[32],"suitable":[33],"sampling":[34],"pattern":[35],"to":[36,52,97],"accommodate":[37],"CS":[39],"imaging.":[42],"A":[43],"combined":[44],"method":[45],"named":[46],"SpRING":[47,60,84,98],"is":[48,82,93],"described":[49],"extended":[51],"handle":[53],"random":[54,66,88,91],"undersampling,":[55],"GRAPPA":[58],"are":[61],"evaluated":[62],"for":[63,99],"uniform":[64],"using":[68],"simulated":[70,76],"real":[72,100],"For":[74],"data,":[77],"when":[78],"factor":[81],"large,":[83],"performs":[85],"better":[86],"undersampling.":[89],"However,":[90],"not":[94],"as":[95],"beneficial":[96],"data":[101],"approximate":[103],"sparsity.":[104]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}