{"id":"https://openalex.org/W4367701183","doi":"https://doi.org/10.48550/arxiv.2305.00892","title":"A Novel Low-Rank Tensor Method for Undersampling Artifact Removal in Respiratory Motion-Resolved Multi-Echo 3D Cones MRI","display_name":"A Novel Low-Rank Tensor Method for Undersampling Artifact Removal in Respiratory Motion-Resolved Multi-Echo 3D Cones MRI","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4367701183","doi":"https://doi.org/10.48550/arxiv.2305.00892"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.00892","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.00892","pdf_url":"https://arxiv.org/pdf/2305.00892","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.00892","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103071480","display_name":"Seongho Jeong","orcid":"https://orcid.org/0000-0002-7242-8837","observed_orcids":["https://orcid.org/0000-0002-7242-8837"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]},{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Jeong, Seongho","raw_affiliation_strings":["Kyungpook National University , South Korea","Memorial Sloan Kettering Cancer Center , New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University , South Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center , New York , NY , USA","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071966584","display_name":"MungSoo Kang","orcid":"https://orcid.org/0000-0001-7492-6664","observed_orcids":["https://orcid.org/0000-0001-7492-6664"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang, MungSoo","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center , New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center , New York , NY , USA","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005782233","display_name":"Gerald G Behr","orcid":"https://orcid.org/0000-0002-2987-0005","observed_orcids":["https://orcid.org/0000-0002-2987-0005"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behr, Gerald","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center , New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center , New York , NY , USA","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jeong, Heechul","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong, Heechul","raw_affiliation_strings":["Kyungpook National University , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University , South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015132482","display_name":"Youngwook Kee","orcid":"https://orcid.org/0000-0001-7211-9711","observed_orcids":["https://orcid.org/0000-0001-7211-9711"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kee, Youngwook","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center , New York , NY , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center , New York , NY , USA","institution_ids":["https://openalex.org/I1334819555"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9976000189781189,"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":0.9976000189781189,"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/T12303","display_name":"Tensor decomposition and applications","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.00019999999494757503,"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/low-rank-tensor","display_name":"low-rank tensor","score":0.7670000195503235},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.6840000152587891},{"id":"https://openalex.org/keywords/k-space-undersampling","display_name":"k-space undersampling","score":0.6589999794960022},{"id":"https://openalex.org/keywords/r2-mapping","display_name":"R2* mapping","score":0.7360000014305115},{"id":"https://openalex.org/keywords/quantitative-susceptibility-mapping","display_name":"quantitative susceptibility mapping","score":1.0},{"id":"https://openalex.org/keywords/iron-overload","display_name":"iron overload","score":0.8500000238418579}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.977205753326416},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7165427803993225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041667461395264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5808009505271912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480924844741821},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5433914661407471},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5336542725563049},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5281156301498413},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4913090765476227},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4635554850101471},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43128523230552673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4296179413795471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29579102993011475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2933366894721985},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.00892","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.00892","pdf_url":"https://arxiv.org/pdf/2305.00892","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.00892","doi":"https://doi.org/10.48550/arxiv.2305.00892","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.00892","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.00892","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.00892","pdf_url":"https://arxiv.org/pdf/2305.00892","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.504800021648407,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367701183.pdf","grobid_xml":"https://content.openalex.org/works/W4367701183.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4361194088","https://openalex.org/W4401571131","https://openalex.org/W2507398220","https://openalex.org/W2338760177","https://openalex.org/W2936328018","https://openalex.org/W2531472376","https://openalex.org/W7082371007","https://openalex.org/W2519218857","https://openalex.org/W2121252799","https://openalex.org/W2787711722"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,19,64,114],"novel":[3],"low-rank":[4,43],"tensor":[5,22,44],"method":[6,77,112],"for":[7,69,123],"respiratory":[8,84,103],"motion-resolved":[9,104],"multi-echo":[10,37,132],"image":[11,21,108],"reconstruction.":[12],"The":[13],"key":[14],"idea":[15],"is":[16],"to":[17,46,101],"construct":[18],"3-way":[20],"(space":[23],"$\\times$":[24,26],"echo":[25,128],"motion":[27],"state)":[28],"from":[29,49],"the":[30,110,127,131],"conventional":[31,102],"gridding":[32],"reconstruction":[33,115],"of":[34],"highly":[35],"undersampled":[36],"k-space":[38],"raw":[39],"data,":[40],"and":[41,54,61,95],"exploit":[42],"structure":[45],"separate":[47],"it":[48],"undersampling":[50,81],"artifacts.":[51],"Healthy":[52],"volunteers":[53],"patients":[55],"with":[56],"iron":[57],"overload":[58],"were":[59],"recruited":[60],"imaged":[62],"on":[63],"3T":[65],"clinical":[66],"MRI":[67],"system":[68],"this":[70],"study.":[71],"Results":[72],"show":[73],"that":[74],"our":[75],"proposed":[76,111],"Successfully":[78],"reduced":[79],"severe":[80],"artifacts":[82],"in":[83,130],"motion-state":[85],"resolved":[86],"complex":[87],"source":[88],"images,":[89],"as":[90,92],"well":[91],"subsequent":[93],"R2*":[94],"quantitative":[96],"susceptibility":[97],"mapping":[98],"(QSM).":[99],"Compared":[100],"compressed":[105],"sensing":[106],"(CS)":[107],"reconstruction,":[109],"had":[113],"time":[116],"at":[117],"least":[118],"three":[119],"times":[120],"faster,":[121],"accounting":[122],"signal":[124],"evolution":[125],"along":[126],"dimension":[129],"data.":[133]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2023-05-03T00:00:00"}