{"id":"https://openalex.org/W4406271294","doi":"https://doi.org/10.1109/bibm62325.2024.10822431","title":"Tri-Hash Progressive Sampling Neural Attenuation Field for Sparse-View CBCT Reconstruction","display_name":"Tri-Hash Progressive Sampling Neural Attenuation Field for Sparse-View CBCT Reconstruction","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271294","doi":"https://doi.org/10.1109/bibm62325.2024.10822431"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822431","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 Bioinformatics and Biomedicine (BIBM)","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/A5100713145","display_name":"Sisi Wang","orcid":"https://orcid.org/0000-0001-9594-5370"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sisi Wang","raw_affiliation_strings":["Ningbo University,The Faculty of Electrical Engineering and Computer Science,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,The Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013717269","display_name":"Lijun Guo","orcid":"https://orcid.org/0000-0002-6133-9564"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Guo","raw_affiliation_strings":["Ningbo University,The Faculty of Electrical Engineering and Computer Science,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,The Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101618645","display_name":"Rong Zhang","orcid":"https://orcid.org/0000-0001-8019-245X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhang","raw_affiliation_strings":["Ningbo University,The Faculty of Electrical Engineering and Computer Science,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"Ningbo University,The Faculty of Electrical Engineering and Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033271171","display_name":"Wenming He","orcid":"https://orcid.org/0000-0002-6018-437X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming He","raw_affiliation_strings":["the First Affiliated Hospital of Ningbo University,The Department of Cardiology,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"the First Affiliated Hospital of Ningbo University,The Department of Cardiology,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430019","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-8686-0890"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["the Afffliated People’s Hospital of Ningbo University,The Department of Radiology,Ningbo,China"],"affiliations":[{"raw_affiliation_string":"the Afffliated People’s Hospital of Ningbo University,The Department of Radiology,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010245958","display_name":"Shangce Gao","orcid":"https://orcid.org/0000-0001-5042-3261"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shangce Gao","raw_affiliation_strings":["University of Toyama,The Faculty of Engineering,Toyama City,Japan"],"affiliations":[{"raw_affiliation_string":"University of Toyama,The Faculty of Engineering,Toyama City,Japan","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100713145"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43149686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2577","last_page":"2582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9983999729156494,"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":0.9983999729156494,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9793000221252441,"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":0.9609000086784363,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6078586578369141},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.5875625014305115},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.578460693359375},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.523039698600769},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4921557307243347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40312206745147705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.328685998916626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17564189434051514},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10866734385490417},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0624673068523407},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.05947306752204895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6078586578369141},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.5875625014305115},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.578460693359375},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.523039698600769},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4921557307243347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40312206745147705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.328685998916626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17564189434051514},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10866734385490417},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0624673068523407},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.05947306752204895},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822431","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 Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1643478239","https://openalex.org/W1972150100","https://openalex.org/W1980472285","https://openalex.org/W1986649315","https://openalex.org/W2133665775","https://openalex.org/W2146583368","https://openalex.org/W2157812230","https://openalex.org/W2501312908","https://openalex.org/W2951629090","https://openalex.org/W3134621679","https://openalex.org/W3179022832","https://openalex.org/W3186804687","https://openalex.org/W3195875706","https://openalex.org/W3198632145","https://openalex.org/W3203806429","https://openalex.org/W3213204639","https://openalex.org/W4200150166","https://openalex.org/W4205881135","https://openalex.org/W4221151978","https://openalex.org/W4295430325","https://openalex.org/W4296057677","https://openalex.org/W4312234520","https://openalex.org/W4312453532","https://openalex.org/W4312706422","https://openalex.org/W4313137167","https://openalex.org/W4372270234","https://openalex.org/W4386066388","https://openalex.org/W6631190155","https://openalex.org/W6766978945","https://openalex.org/W6780179280"],"related_works":["https://openalex.org/W2062605435","https://openalex.org/W2273182195","https://openalex.org/W2186374051","https://openalex.org/W2377963109","https://openalex.org/W2022279172","https://openalex.org/W2352247021","https://openalex.org/W2145835458","https://openalex.org/W2059332403","https://openalex.org/W2066034608","https://openalex.org/W1990381203"],"abstract_inverted_index":{"Sparse-view":[0],"CBCT":[1,13],"reconstruction":[2,37,55,79,99],"is":[3],"essential":[4],"to":[5,52,102,172,227],"reduce":[6],"the":[7,17,23,34,53,60,88,95,122,140,147,165,174,192,205,212],"X-ray":[8],"radiation":[9],"dose":[10],"in":[11,42,59,77,83,87,109],"clinical":[12,236],"imaging.":[14],"However,":[15,86],"reducing":[16],"number":[18,206],"of":[19,56,80,90,97,105,142,207],"views":[20],"often":[21],"lower":[22],"image":[24,166,229],"quality.":[25],"Existing":[26],"neural":[27,69],"radiance":[28],"field":[29,62,71],"(NeRF)":[30],"technologies":[31,51],"can":[32],"achieve":[33],"high-quality":[35],"3D":[36,54,78,143],"and":[38,156,159,168,194,201,215,231],"novel":[39,119],"view":[40],"generation":[41,169],"natural":[43],"scenes":[44],"under":[45],"sparse-view":[46],"conditions.":[47],"Nevertheless,":[48],"applying":[49],"these":[50,114],"human":[57,81,110],"tissues":[58,82],"medical":[61,84],"still":[63],"has":[64,74],"limitations.":[65],"The":[66],"recently":[67],"proposed":[68],"attenuation":[70],"(NAF)":[72],"technique":[73],"shown":[75],"progress":[76],"images.":[85],"context":[89],"sparse":[91],"views,":[92],"there":[93],"remains":[94],"issue":[96],"inferior":[98],"quality":[100,167,230],"due":[101],"insufficient":[103],"acquisition":[104],"spatial":[106,144,157],"structural":[107],"information":[108,145,158,196],"tissues.":[111],"To":[112],"address":[113],"challenges,":[115],"we":[116,131,181],"propose":[117],"a":[118,183],"framework":[120],"called":[121],"Tri-Hash":[123,135],"Progressive":[124],"Sampling":[125],"Neural":[126],"Attenuation":[127],"Field":[128],"(THP-NAF).":[129],"First,":[130],"introduced":[132],"an":[133,161],"Enhanced":[134],"Representation":[136],"mechanism":[137,152],"that":[138],"enhanced":[139],"extraction":[141],"through":[146],"2D":[148],"plane":[149],"mapping.":[150],"This":[151,189],"captures":[153],"more":[154],"contextual":[155],"achieved":[160],"optimized":[162],"balance":[163],"between":[164],"efficiency.":[170,216],"Additionally,":[171],"mitigate":[173],"sampling":[175,187,200,208,213],"inefficiency":[176],"caused":[177],"by":[178],"random":[179],"sampling,":[180],"employed":[182],"Sobel-based":[184],"adaptive":[185],"point\u2013ray":[186],"strategy.":[188],"strategy":[190],"combined":[191],"global":[193],"local":[195],"for":[197,235],"structure-aware":[198],"ray":[199],"could":[202],"dynamically":[203],"adjust":[204],"points,":[209],"thereby":[210],"enhancing":[211],"flexibility":[214],"Our":[217],"method":[218],"was":[219],"validated":[220],"across":[221],"multiple":[222],"datasets,":[223],"demonstrating":[224],"its":[225,232],"ability":[226],"improve":[228],"significant":[233],"potential":[234],"applications.":[237]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}