{"id":"https://openalex.org/W7135083454","doi":"https://doi.org/10.1109/camsap66162.2025.11423991","title":"Network-Regularized Diffusion Sampling For 3D Computed Tomography","display_name":"Network-Regularized Diffusion Sampling For 3D Computed Tomography","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7135083454","doi":"https://doi.org/10.1109/camsap66162.2025.11423991"},"language":null,"primary_location":{"id":"doi:10.1109/camsap66162.2025.11423991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap66162.2025.11423991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 10th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5128890560","display_name":"Shijun Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shijun Liang","raw_affiliation_strings":["University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003538946","display_name":"Ismail Alkhouri","orcid":"https://orcid.org/0000-0002-5754-5509"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ismail Alkhouri","raw_affiliation_strings":["University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128868360","display_name":"Qing Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Qu","raw_affiliation_strings":["Michigan State University,Department of Computational Mathematics, Science & Engineering,EastLansing,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Computational Mathematics, Science & Engineering,EastLansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128870398","display_name":"Rongrong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongrong Wang","raw_affiliation_strings":["Michigan State University,Department of Computational Mathematics, Science & Engineering,EastLansing,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Computational Mathematics, Science & Engineering,EastLansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128868000","display_name":"Saiprasad Ravishankar","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saiprasad Ravishankar","raw_affiliation_strings":["Michigan State University,Department of Computational Mathematics, Science & Engineering,EastLansing,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Computational Mathematics, Science & Engineering,EastLansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79036054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.16089999675750732,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.16089999675750732,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.12870000302791595,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.08320000022649765,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4837999939918518},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4742000102996826},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.40959998965263367},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.32330000400543213},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2976999878883362}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4837999939918518},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31150001287460327},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26930001378059387},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2678999900817871},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap66162.2025.11423991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap66162.2025.11423991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 10th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Numerous":[0],"diffusion":[1,36,43,77],"model":[2],"(DM)-based":[3],"methods":[4,47],"have":[5,48],"been":[6],"proposed":[7],"for":[8,79],"solving":[9],"inverse":[10],"imaging":[11],"problems.":[12],"Among":[13],"these,":[14],"a":[15],"recent":[16],"line":[17],"of":[18,127],"work":[19],"has":[20],"demonstrated":[21],"strong":[22],"performance":[23],"by":[24,83],"formulating":[25],"sampling":[26,78],"as":[27,65],"an":[28,85],"optimization":[29,90,113],"procedure":[30],"that":[31,147],"enforces":[32],"measurement":[33],"consistency,":[34,37],"forward":[35],"and":[38,41,54,103,130],"both":[39],"step-wise":[40],"backward":[42],"consistency.":[44],"However,":[45],"these":[46],"only":[49],"considered":[50],"2D":[51],"reconstruction":[52,62],"tasks":[53],"do":[55],"not":[56],"directly":[57],"extend":[58],"to":[59,115],"3D":[60,80,143],"image":[61],"problems,":[63],"such":[64],"in":[66],"Computed":[67],"Tomography":[68],"(CT).":[69],"To":[70],"bridge":[71],"this":[72],"gap,":[73],"we":[74,109],"propose":[75],"NEtwork-Regularized":[76],"CT":[81,144],"(NERD)":[82],"incorporating":[84],"$\\ell_{1}$":[86],"regularization":[87],"into":[88],"the":[89,117,123,134],"objective.":[91],"This":[92],"regularizer":[93],"encourages":[94],"spatial":[95],"continuity":[96],"across":[97],"adjacent":[98],"slices,":[99],"reducing":[100],"inter-slice":[101],"artifacts":[102],"promoting":[104],"coherent":[105],"volumetric":[106],"reconstructions.":[107],"Additionally,":[108],"introduce":[110],"two":[111],"efficient":[112],"strategies":[114],"solve":[116],"resulting":[118],"objective:":[119],"one":[120],"based":[121,132],"on":[122,133,141],"Alternating":[124],"Direction":[125],"Method":[126],"Multipliers":[128],"(ADMM)":[129],"another":[131],"Primal-Dual":[135],"Hybrid":[136],"Gradient":[137],"(PDHG)":[138],"method.":[139],"Experiments":[140],"medical":[142],"data":[145],"demonstrate":[146],"our":[148],"approach":[149],"achieves":[150],"either":[151],"state-of-the-art":[152],"or":[153],"highly":[154],"competitive":[155],"results.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-13T00:00:00"}