{"id":"https://openalex.org/W4281572265","doi":"https://doi.org/10.48550/arxiv.2205.11952","title":"3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture","display_name":"3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4281572265","doi":"https://doi.org/10.48550/arxiv.2205.11952"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2205.11952","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.11952","pdf_url":"https://arxiv.org/pdf/2205.11952","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":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.11952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003156285","display_name":"Jevgenija Rudzusika","orcid":"https://orcid.org/0000-0002-6648-2378"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rudzusika, Jevgenija","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003122955","display_name":"Buda Baji\u0107","orcid":"https://orcid.org/0000-0001-8754-7436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baji\u0107, Buda","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Koehler, Thomas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koehler, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078374818","display_name":"Ozan \u00d6ktem","orcid":"https://orcid.org/0000-0002-1118-6483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00d6ktem, Ozan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003156285"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9926000237464905,"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":0.7262070178985596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.691231369972229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6146456599235535},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5342304706573486},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5090479254722595},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4820762276649475},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47655895352363586},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47394800186157227},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4719112515449524},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47069501876831055},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4306509494781494},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4223087430000305},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4199552536010742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3788212239742279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2409610152244568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09106576442718506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262070178985596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.691231369972229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6146456599235535},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5342304706573486},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5090479254722595},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4820762276649475},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47655895352363586},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47394800186157227},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4719112515449524},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47069501876831055},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4306509494781494},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4223087430000305},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4199552536010742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3788212239742279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2409610152244568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09106576442718506},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2205.11952","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.11952","pdf_url":"https://arxiv.org/pdf/2205.11952","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":"","raw_type":null},{"id":"doi:10.48550/arxiv.2205.11952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2205.11952","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2205.11952","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.11952","pdf_url":"https://arxiv.org/pdf/2205.11952","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":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","ror":"https://ror.org/01kd5m353"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"},{"id":"https://openalex.org/F4320322729","display_name":"Ministarstvo Prosvete, Nauke i Tehnolo\u0161kog Razvoja","ror":"https://ror.org/01znas443"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281572265.pdf","grobid_xml":"https://content.openalex.org/works/W4281572265.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2220635983","https://openalex.org/W2004988775","https://openalex.org/W4223555864","https://openalex.org/W3092344832"],"abstract_inverted_index":{"Deep":[0],"learning":[1,131,201],"based":[2,132],"computed":[3],"tomography":[4],"(CT)":[5],"reconstruction":[6,133,161,204],"has":[7,124],"demonstrated":[8],"outstanding":[9],"performance":[10],"on":[11,134,205,228],"simulated":[12],"2D":[13],"low-dose":[14],"CT":[15,33,215],"data.":[16],"This":[17,139],"applies":[18],"in":[19,63,89,93,162,211],"particular":[20],"to":[21,110,120,128,160,181,196],"domain":[22,143],"adapted":[23,144],"neural":[24,145],"networks,":[25],"which":[26,67],"incorporate":[27],"a":[28,112,142,229],"handcrafted":[29],"physics":[30],"model":[31],"for":[32,45,75,88,203],"imaging.":[34,77],"Empirical":[35],"evidence":[36],"shows":[37],"that":[38,59,153],"employing":[39],"such":[40],"architectures":[41],"reduces":[42],"the":[43,69,101,104,118,148,170,177,186,194,212],"demand":[44],"training":[46,54,115,223],"data":[47,80,219],"and":[48,158,175,217,224],"improves":[49],"upon":[50],"generalisation.":[51],"However,":[52],"their":[53],"requires":[55],"large":[56],"computational":[57],"resources":[58],"quickly":[60],"become":[61],"prohibitive":[62],"3D":[64,136],"helical":[65,137,171],"CT,":[66],"is":[68,193,226],"most":[70,99],"common":[71],"acquisition":[72],"geometry":[73],"used":[74],"medical":[76],"Furthermore,":[78],"clinical":[79,135,207],"also":[81],"comes":[82],"with":[83,117,233],"other":[84],"challenges":[85],"not":[86],"accounted":[87],"simulations,":[90],"like":[91,209],"errors":[92],"flux":[94],"measurement,":[95],"resolution":[96],"mismatch":[97],"and,":[98],"importantly,":[100],"absence":[102],"of":[103,188,235],"real":[105],"ground":[106],"truth.":[107],"The":[108],"necessity":[109],"have":[111],"computationally":[113],"feasible":[114],"combined":[116],"need":[119],"address":[121],"these":[122],"issues":[123],"made":[125],"it":[126,154],"difficult":[127],"evaluate":[129],"deep":[130,200],"CT.":[138],"paper":[140],"modifies":[141],"network":[146],"architecture,":[147],"Learned":[149],"Primal-Dual":[150],"(LPD),":[151],"so":[152],"can":[155],"be":[156],"trained":[157],"applied":[159],"this":[163,167,191],"setting.":[164],"We":[165],"achieve":[166],"by":[168],"splitting":[169],"trajectory":[172],"into":[173],"sections":[174,183],"applying":[176],"unrolled":[178,199],"LPD":[179],"iterations":[180],"those":[182,210],"sequentially.":[184],"To":[185],"best":[187],"our":[189],"knowledge,":[190],"work":[192],"first":[195],"apply":[197],"an":[198],"architecture":[202],"full-sized":[206],"data,":[208],"Low":[213],"dose":[214],"image":[216],"projection":[218],"set":[220],"(LDCT).":[221],"Moreover,":[222],"testing":[225],"done":[227],"single":[230],"GPU":[231],"card":[232],"24GB":[234],"memory.":[236]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-05-27T00:00:00"}
