{"id":"https://openalex.org/W4401748941","doi":"https://doi.org/10.1109/isbi56570.2024.10635855","title":"Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks","display_name":"Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401748941","doi":"https://doi.org/10.1109/isbi56570.2024.10635855","pmid":"https://pubmed.ncbi.nlm.nih.gov/39831102"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635855","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11736015/pdf/nihms-2045870.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041178960","display_name":"Toygan K\u0131l\u0131\u00e7","orcid":"https://orcid.org/0000-0001-7969-5738"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Toygan Kilic","raw_affiliation_strings":["University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060843293","display_name":"J\u00fcrgen Herrler","orcid":"https://orcid.org/0000-0002-4620-8216"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Herrler","raw_affiliation_strings":["Siemens Healthcare GmbH,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthcare GmbH,Erlangen,Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019284468","display_name":"Patrick Liebig","orcid":"https://orcid.org/0000-0001-7342-3715"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Liebig","raw_affiliation_strings":["Siemens Healthcare GmbH,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthcare GmbH,Erlangen,Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075833789","display_name":"\u00d6mer Burak Demirel","orcid":"https://orcid.org/0000-0003-4726-0590"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"\u00d6mer Burak Demirel","raw_affiliation_strings":["University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070246576","display_name":"Armin M. Nagel","orcid":"https://orcid.org/0000-0003-0948-1421"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Armin Nagel","raw_affiliation_strings":["University Hospital Erlangen, Friedrich-Alexander-Universit&#x00E4;t, Erlangen-N&#x00FC;rnberg (FAU),Institute of Radiology,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hospital Erlangen, Friedrich-Alexander-Universit&#x00E4;t, Erlangen-N&#x00FC;rnberg (FAU),Institute of Radiology,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210088053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633783","display_name":"Mingyi Hong","orcid":"https://orcid.org/0000-0003-1263-9365"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyi Hong","raw_affiliation_strings":["University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054800712","display_name":"K\u01cemil U\u01e7urbil","orcid":"https://orcid.org/0000-0002-8475-9334"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210158702","display_name":"Resonance Research (United States)","ror":"https://ror.org/05t871q54","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158702"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamil Ugurbil","raw_affiliation_strings":["University of Minnesota,Center for Magnetic Resonance Research,Minneapolis,MN,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Center for Magnetic Resonance Research,Minneapolis,MN,United States","institution_ids":["https://openalex.org/I4210158702","https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044571053","display_name":"Mehmet Ak\u00e7akaya","orcid":"https://orcid.org/0000-0001-6400-7736"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet Ak\u00e7akaya","raw_affiliation_strings":["University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Electrical and Computer Engineering,Minneapolis,MN,United States","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3579,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6337364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"5"},"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6119897365570068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5585447549819946},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5351536870002747},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.36748838424682617},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.337858647108078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21171355247497559},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09429365396499634}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6119897365570068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5585447549819946},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5351536870002747},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.36748838424682617},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.337858647108078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21171355247497559},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09429365396499634},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635855","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:39831102","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39831102","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11736015","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11736015","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11736015/pdf/nihms-2045870.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11736015","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11736015","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11736015/pdf/nihms-2045870.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G123192704","display_name":null,"funder_award_id":"P41 EB027061","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2518119838","display_name":"CCSS: Online Learning for IoT Monitoring and Management","funder_award_id":"2126052","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2883019545","display_name":null,"funder_award_id":"P41EB027061","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3623847887","display_name":null,"funder_award_id":"U01EB025144","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G562151038","display_name":null,"funder_award_id":"U01 EB025144","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G6057461636","display_name":null,"funder_award_id":"R01 EB032830","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7144051204","display_name":"CIF: III: Medium: MoDL+: Analytical Foundations for Deep Learning and Inference over Graphs","funder_award_id":"2212318","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8143002666","display_name":null,"funder_award_id":"R01EB032830","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401748941.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1562336190","https://openalex.org/W1918832467","https://openalex.org/W2041719988","https://openalex.org/W2075846276","https://openalex.org/W2103350699","https://openalex.org/W2108833512","https://openalex.org/W2270204079","https://openalex.org/W2280165375","https://openalex.org/W2604996334","https://openalex.org/W2791530104","https://openalex.org/W2948226226","https://openalex.org/W2954841746","https://openalex.org/W2973862381","https://openalex.org/W3039305152","https://openalex.org/W3120763770","https://openalex.org/W3124679691","https://openalex.org/W3158092725","https://openalex.org/W4210504275","https://openalex.org/W4250589301","https://openalex.org/W4308322187","https://openalex.org/W4391109121","https://openalex.org/W6790879498"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885"],"abstract_inverted_index":{"Parallel":[0],"transmission":[1],"(pTx)":[2],"is":[3,92],"an":[4,20,59],"important":[5],"technique":[6],"for":[7,23],"reducing":[8],"transmit":[9],"field":[10],"inhomogeneities":[11],"at":[12],"ultrahigh-field":[13],"(UHF)":[14],"MRI.":[15],"pTx":[16],"typically":[17],"involves":[18],"solving":[19],"optimization":[21,99],"problem":[22],"radiofrequency":[24],"pulse":[25],"design,":[26],"with":[27,83],"hard":[28,50],"constraints":[29,51],"on":[30],"specific-absorption":[31],"rate":[32],"(SAR)":[33],"and/or":[34],"power,":[35],"which":[36],"may":[37],"be":[38],"time-consuming.":[39],"In":[40],"this":[41],"work,":[42],"we":[43],"propose":[44],"a":[45,84],"novel":[46],"approach":[47],"towards":[48],"incorporating":[49],"to":[52,96],"physics-driven":[53],"neural":[54,85],"networks.":[55],"Our":[56],"method":[57,76,91],"unrolls":[58],"extension":[60],"of":[61],"the":[62,66,73],"log-barrier":[63],"method,":[64],"where":[65],"central":[67],"path":[68],"problems":[69],"are":[70,81],"solved":[71],"via":[72],"gradient":[74],"descent":[75],"whose":[77],"optimal":[78],"step":[79],"sizes":[80],"learned":[82],"network.":[86],"Results":[87],"indicate":[88],"that":[89],"our":[90],"substantially":[93],"faster":[94],"compared":[95],"traditional":[97],"convex":[98],"techniques,":[100],"while":[101],"achieving":[102],"similar":[103],"performance.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
