{"id":"https://openalex.org/W2421411742","doi":"https://doi.org/10.1109/isbi.2016.7493270","title":"Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization","display_name":"Spatio-temporal MRI reconstruction by enforcing local and global regularity via dynamic total variation and nuclear norm minimization","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2421411742","doi":"https://doi.org/10.1109/isbi.2016.7493270","mag":"2421411742"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","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/A5029523375","display_name":"\u00c7a\u011fda\u015f Ula\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129213","display_name":"gec-co Global Engineering & Consulting (Germany)","ror":"https://ror.org/03jp18535","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129213"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cagdas Ulas","raw_affiliation_strings":["Department of Computer Science, TU M\u00fcnchen, Munich, Germany","GE Global Research, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, TU M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"GE Global Research, Munich, Germany","institution_ids":["https://openalex.org/I4210129213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101871174","display_name":"Pedro A. G\u00f3mez","orcid":"https://orcid.org/0000-0003-3709-3557"},"institutions":[{"id":"https://openalex.org/I4210129213","display_name":"gec-co Global Engineering & Consulting (Germany)","ror":"https://ror.org/03jp18535","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129213"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pedro A. Gomez","raw_affiliation_strings":["Department of Computer Science, TU M\u00fcnchen, Munich, Germany","GE Global Research, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, TU M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"GE Global Research, Munich, Germany","institution_ids":["https://openalex.org/I4210129213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080977311","display_name":"Jonathan I. Sperl","orcid":"https://orcid.org/0000-0003-4528-1507"},"institutions":[{"id":"https://openalex.org/I4210129213","display_name":"gec-co Global Engineering & Consulting (Germany)","ror":"https://ror.org/03jp18535","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129213"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonathan I. Sperl","raw_affiliation_strings":["GE Global Research, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Munich, Germany","institution_ids":["https://openalex.org/I4210129213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025630358","display_name":"Christine Preibisch","orcid":"https://orcid.org/0000-0003-4067-1928"},"institutions":[{"id":"https://openalex.org/I2802619606","display_name":"TUM Klinikum","ror":"https://ror.org/04jc43x05","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802619606","https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christine Preibisch","raw_affiliation_strings":["Klinikum rechts der Isar der TU M\u00fcnchen, Neuroradiology, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Klinikum rechts der Isar der TU M\u00fcnchen, Neuroradiology, Munich, Germany","institution_ids":["https://openalex.org/I2802619606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002068604","display_name":"Bjoern Menze","orcid":"https://orcid.org/0000-0003-4136-5690"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern H. Menze","raw_affiliation_strings":["Department of Computer Science, TU M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, TU M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5369,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8159292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"306","last_page":"309"},"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":0.9998999834060669,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.6309909820556641},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6217028498649597},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.5427364110946655},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5389929413795471},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5329989194869995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.519303023815155},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4570356607437134},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4133346974849701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33529409766197205},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.32164955139160156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26898908615112305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309909820556641},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6217028498649597},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.5427364110946655},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5389929413795471},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5329989194869995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.519303023815155},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4570356607437134},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4133346974849701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33529409766197205},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.32164955139160156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26898908615112305},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W140844899","https://openalex.org/W2008257035","https://openalex.org/W2056775112","https://openalex.org/W2101675075","https://openalex.org/W2117882039","https://openalex.org/W2125624314","https://openalex.org/W2156739854","https://openalex.org/W2293415239","https://openalex.org/W2339666411","https://openalex.org/W2762625016","https://openalex.org/W6703697878"],"related_works":["https://openalex.org/W1495042958","https://openalex.org/W2494338568","https://openalex.org/W2122678784","https://openalex.org/W2282510344","https://openalex.org/W139987158","https://openalex.org/W2183994405","https://openalex.org/W1875646599","https://openalex.org/W1976807322","https://openalex.org/W2349023125","https://openalex.org/W2163502240"],"abstract_inverted_index":{"In":[0,106],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,51],"new":[6],"spatio-temporal":[7],"reconstruction":[8,13,124],"scheme":[9],"for":[10,54],"the":[11,38,48,60,80,115],"fast":[12],"of":[14,41,63,118,123],"dynamic":[15,99],"magnetic":[16],"resonance":[17],"imaging":[18],"(dMRI)":[19],"data":[20],"from":[21],"undersampled":[22],"k-space":[23],"measurements.":[24],"To":[25],"utilize":[26],"both":[27],"spatial":[28,44],"and":[29,57,98],"temporal":[30],"redundancy":[31],"in":[32,84,121],"dMRI":[33],"sequences,":[34],"our":[35,119],"method":[36,90,120],"investigates":[37],"potential":[39],"benefits":[40],"enforcing":[42],"local":[43],"sparsity":[45],"constraints":[46],"on":[47,93],"difference":[49],"to":[50,108],"reference":[52],"image":[53],"each":[55],"frame":[56],"additionally":[58],"exploiting":[59],"low-rank":[61],"property":[62],"global":[64],"spatiotemporal":[65],"signal":[66],"via":[67],"nuclear":[68],"norm":[69],"(NN)":[70],"minimization.":[71],"We":[72],"present":[73],"here":[74],"an":[75,85],"iterative":[76],"algorithm":[77],"that":[78],"solves":[79],"convex":[81],"optimization":[82],"problem":[83],"alternating":[86],"fashion.":[87],"The":[88],"proposed":[89],"is":[91],"tested":[92],"in-vivo":[94],"3D":[95],"cardiac":[96],"MRI":[97],"susceptibility":[100],"contrast":[101],"(DSC)-MRI":[102],"brain":[103],"perfusion":[104],"datasets.":[105],"comparison":[107],"two":[109],"state-of-the-art":[110],"methods,":[111],"numerical":[112],"experiments":[113],"demonstrate":[114],"superior":[116],"performance":[117],"terms":[122],"accuracy.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}