{"id":"https://openalex.org/W4224280692","doi":"https://doi.org/10.1109/tmi.2022.3168436","title":"Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes","display_name":"Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes","publication_year":2022,"publication_date":"2022-04-18","ids":{"openalex":"https://openalex.org/W4224280692","doi":"https://doi.org/10.1109/tmi.2022.3168436","pmid":"https://pubmed.ncbi.nlm.nih.gov/35436186"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3168436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3168436","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.02335","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100332455","display_name":"Hongyan Liu","orcid":"https://orcid.org/0000-0002-1319-0419"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Hongyan Liu","raw_affiliation_strings":["Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1319-0419","affiliations":[{"raw_affiliation_string":"Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054636051","display_name":"Oscar van der Heide","orcid":"https://orcid.org/0000-0002-8451-525X"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Oscar van der Heide","raw_affiliation_strings":["Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-8451-525X","affiliations":[{"raw_affiliation_string":"Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031255001","display_name":"Stefano Mandija","orcid":"https://orcid.org/0000-0002-4612-5509"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Stefano Mandija","raw_affiliation_strings":["Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4612-5509","affiliations":[{"raw_affiliation_string":"Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024509184","display_name":"Cornelis A. T. van den Berg","orcid":"https://orcid.org/0000-0002-5565-6889"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cornelis A. T. van den Berg","raw_affiliation_strings":["Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-5565-6889","affiliations":[{"raw_affiliation_string":"Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040712144","display_name":"Alessandro Sbrizzi","orcid":"https://orcid.org/0000-0003-3276-4542"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alessandro Sbrizzi","raw_affiliation_strings":["Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-3276-4542","affiliations":[{"raw_affiliation_string":"Center for Image Sciences, University Medical Center, Utrecht, CX, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100332455"],"corresponding_institution_ids":["https://openalex.org/I3018483916"],"apc_list":null,"apc_paid":null,"fwci":1.4438,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80061481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"41","issue":"10","first_page":"2681","last_page":"2692"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9961000084877014,"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/hessian-matrix","display_name":"Hessian matrix","score":0.755153477191925},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6327368021011353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5922831892967224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837604999542236},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.5385891199111938},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.535152018070221},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4548337161540985},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4228758215904236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33767688274383545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2557230293750763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2267231047153473},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1658887267112732}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.755153477191925},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6327368021011353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5922831892967224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837604999542236},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.5385891199111938},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.535152018070221},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4548337161540985},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4228758215904236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33767688274383545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2557230293750763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2267231047153473},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1658887267112732},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2022.3168436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3168436","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35436186","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35436186","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2205.02335","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.02335","pdf_url":"https://arxiv.org/pdf/2205.02335","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dspace.library.uu.nl:1874/447530","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/447530","pdf_url":null,"source":{"id":"https://openalex.org/S4306401649","display_name":"Utrecht University Repository (Utrecht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193662353","host_organization_name":"Utrecht University","host_organization_lineage":["https://openalex.org/I193662353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2205.02335","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.02335","pdf_url":"https://arxiv.org/pdf/2205.02335","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6913910114","display_name":null,"funder_award_id":"201807720088","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1600055553","https://openalex.org/W1854566075","https://openalex.org/W1963427860","https://openalex.org/W2009238259","https://openalex.org/W2015583343","https://openalex.org/W2061708033","https://openalex.org/W2144288697","https://openalex.org/W2152788151","https://openalex.org/W2164278908","https://openalex.org/W2226146394","https://openalex.org/W2271840356","https://openalex.org/W2281493160","https://openalex.org/W2324009747","https://openalex.org/W2341948006","https://openalex.org/W2510165053","https://openalex.org/W2550323446","https://openalex.org/W2613279989","https://openalex.org/W2747122024","https://openalex.org/W2767396100","https://openalex.org/W2799761118","https://openalex.org/W2891118307","https://openalex.org/W2918763530","https://openalex.org/W2972976643","https://openalex.org/W2990136468","https://openalex.org/W3003929624","https://openalex.org/W3014660340","https://openalex.org/W3037123415","https://openalex.org/W3049596695","https://openalex.org/W3100694778","https://openalex.org/W3125800648","https://openalex.org/W4292363360","https://openalex.org/W6631190155","https://openalex.org/W6694517276","https://openalex.org/W6776115042"],"related_works":["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","https://openalex.org/W2061033783","https://openalex.org/W1994141795"],"abstract_inverted_index":{"MR-STAT":[0,43,58,97,139,171,244],"is":[1,51,107,141,204],"an":[2,94],"emerging":[3],"quantitative":[4],"magnetic":[5],"resonance":[6],"imaging":[7],"technique":[8],"which":[9],"aims":[10],"at":[11,193],"obtaining":[12],"multi-parametric":[13],"tissue":[14,28],"parameter":[15],"maps":[16],"from":[17],"single":[18],"short":[19],"scans.":[20],"It":[21],"describes":[22],"the":[23,26,31,68,89,115,121,127,134,137,149,160,178,183,189,241],"relationship":[24],"between":[25],"spatial-domain":[27],"parameters":[29],"and":[30,75,143,165,168,188,201,206,226,237],"time-domain":[32,123],"measured":[33],"signal":[34,117],"by":[35,66,148],"using":[36,60,177],"a":[37,46,104,110,213,234],"comprehensive,":[38],"volumetric":[39],"forward":[40],"model.":[41],"The":[42,155,219],"reconstruction":[44,59,175,190,217],"solves":[45],"large-scale":[47],"nonlinear":[48],"problem,":[49],"thus":[50],"very":[52],"computationally":[53],"challenging.":[54],"In":[55,88],"previous":[56,184],"work,":[57,91],"Cartesian":[61,96,138],"readout":[62],"data":[63,229],"was":[64],"accelerated":[65,95],"approximating":[67],"Hessian":[69,186],"matrix":[70],"with":[71,84,212],"sparse,":[72],"banded":[73],"blocks,":[74],"can":[76],"be":[77],"done":[78],"on":[79,133,233],"high":[80],"performance":[81],"CPU":[82],"clusters":[83],"tens":[85],"of":[86,153,243],"minutes.":[87],"current":[90],"we":[92],"propose":[93],"algorithm":[98,180,221],"incorporating":[99],"two":[100],"different":[101],"strategies:":[102],"firstly,":[103],"neural":[105],"network":[106],"trained":[108],"as":[109],"fast":[111],"surrogate":[112,135],"to":[113,182],"learn":[114],"magnetization":[116],"not":[118],"only":[119],"in":[120,126,216,245],"full":[122],"but":[124],"also":[125],"compressed":[128],"low-rank":[129],"domain;":[130],"secondly,":[131],"based":[132],"model,":[136],"problem":[140],"re-formulated":[142],"split":[144],"into":[145],"smaller":[146],"sub-problems":[147],"alternating":[150],"direction":[151],"method":[152,157],"multipliers.":[154],"proposed":[156,179,220],"substantially":[158],"reduces":[159],"computational":[161],"requirements":[162],"for":[163,208],"runtime":[164],"memory.":[166],"Simulated":[167],"in-vivo":[169,228],"balanced":[170,225],"experiments":[172],"show":[173],"similar":[174],"results":[176],"compared":[181],"sparse":[185],"method,":[187],"times":[191,196],"are":[192],"least":[194],"40":[195],"shorter.":[197],"Incorporating":[198],"sensitivity":[199],"encoding":[200],"regularization":[202],"terms":[203],"straightforward,":[205],"allows":[207],"better":[209],"image":[210],"quality":[211],"negligible":[214],"increase":[215],"time.":[218],"could":[222,238],"reconstruct":[223],"both":[224],"gradient-spoiled":[227],"within":[230],"3":[231],"minutes":[232],"desktop":[235],"PC,":[236],"thereby":[239],"facilitate":[240],"translation":[242],"clinical":[246],"settings.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}