{"id":"https://openalex.org/W4401609038","doi":"https://doi.org/10.1109/icasspw62465.2024.10626185","title":"Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction","display_name":"Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4401609038","doi":"https://doi.org/10.1109/icasspw62465.2024.10626185"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw62465.2024.10626185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw62465.2024.10626185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},"type":"article","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/A5087444643","display_name":"Ander Biguri","orcid":"https://orcid.org/0000-0002-2636-3032"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ander Biguri","raw_affiliation_strings":["University of Cambridge,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035377071","display_name":"Subhadip Mukherjee","orcid":"https://orcid.org/0000-0001-8324-3865"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhadip Mukherjee","raw_affiliation_strings":["IIT-Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT-Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1395,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75715137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9993000030517578,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9988999962806702,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9884999990463257,"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/computed-tomography","display_name":"Computed tomography","score":0.7268431186676025},{"id":"https://openalex.org/keywords/cone-beam-computed-tomography","display_name":"Cone beam computed tomography","score":0.6658161878585815},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.478727787733078},{"id":"https://openalex.org/keywords/image-guided-radiation-therapy","display_name":"Image-guided radiation therapy","score":0.4510079622268677},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43633753061294556},{"id":"https://openalex.org/keywords/beam","display_name":"Beam (structure)","score":0.4305153489112854},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.38913387060165405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3819604516029358},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.37013158202171326},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.34570538997650146},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3004899322986603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2742283344268799},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24872764945030212},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.24205651879310608}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.7268431186676025},{"id":"https://openalex.org/C2779813781","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam computed tomography","level":3,"score":0.6658161878585815},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.478727787733078},{"id":"https://openalex.org/C9267231","wikidata":"https://www.wikidata.org/wiki/Q15841445","display_name":"Image-guided radiation therapy","level":3,"score":0.4510079622268677},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43633753061294556},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.4305153489112854},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.38913387060165405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3819604516029358},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.37013158202171326},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.34570538997650146},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3004899322986603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2742283344268799},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24872764945030212},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.24205651879310608}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw62465.2024.10626185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw62465.2024.10626185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2574952845","https://openalex.org/W2738743584","https://openalex.org/W2963399478","https://openalex.org/W3103586216","https://openalex.org/W3133902371","https://openalex.org/W3207346509","https://openalex.org/W4313526320","https://openalex.org/W4401597520","https://openalex.org/W4401609033","https://openalex.org/W4401609039","https://openalex.org/W4401609048","https://openalex.org/W4401609560","https://openalex.org/W6888546781"],"related_works":["https://openalex.org/W1980524935","https://openalex.org/W2115301928","https://openalex.org/W4296345545","https://openalex.org/W84412365","https://openalex.org/W1967626448","https://openalex.org/W2606807491","https://openalex.org/W2740844648","https://openalex.org/W4293073787","https://openalex.org/W2768843469","https://openalex.org/W2614950993"],"abstract_inverted_index":{"Image":[0],"reconstruction":[1,145],"from":[2,26,128],"the":[3,23,54,68,93,100,113,140,147],"X-ray":[4],"attenuation":[5],"measurement":[6],"in":[7,22,137],"computed":[8],"tomography":[9],"(CT)":[10],"can":[11,61],"be":[12],"formulated":[13],"as":[14],"an":[15],"inverse":[16],"problem":[17],"for":[18,41,107],"recovering":[19],"a":[20,38,50,72,80],"function":[21],"3D":[24],"space":[25],"its":[27],"line":[28],"integrals.":[29],"Variational":[30],"regularization":[31],"with":[32,53],"model-based":[33],"regularizers":[34],"has":[35,85],"traditionally":[36],"been":[37,87],"successful":[39],"approach":[40,52],"CT":[42,109,120],"reconstruction.":[43],"Recently,":[44],"researchers":[45],"have":[46],"shown":[47],"that":[48],"combining":[49],"model-driven":[51],"power":[55],"of":[56,75,92,103,118,139,144],"machine":[57],"learning":[58],"and":[59,122,125],"computation":[60],"improve":[62],"image":[63],"quality":[64],"significantly":[65],"while":[66],"reducing":[67],"radiation":[69],"dose.":[70],"However,":[71],"systematic":[73],"evaluation":[74],"deep":[76],"learning-based":[77],"approaches":[78,106],"on":[79],"publicly":[81],"available":[82],"benchmark":[83],"dataset":[84,115],"not":[86],"undertaken.":[88],"The":[89,133],"main":[90],"objective":[91],"challenge":[94],"is":[95],"to":[96],"gain":[97],"insights":[98],"into":[99],"empirical":[101],"performance":[102],"different":[104],"data-driven":[105],"clinical":[108],"imaging.":[110],"We":[111],"utilize":[112],"LIDC-IDRI":[114],"[1]":[116],"consisting":[117],"chest":[119],"scans,":[121],"simulate":[123],"clinical-":[124],"low-dose":[126],"projections":[127],"these":[129],"scans":[130],"(ground":[131],"truth).":[132],"algorithms":[134],"are":[135],"evaluated":[136],"terms":[138],"mean-squared":[141],"error":[142],"(MSE)":[143],"w.r.t.":[146],"reference":[148],"ground-truth":[149],"scans.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}