{"id":"https://openalex.org/W4363647918","doi":"https://doi.org/10.1117/12.2654304","title":"Effects of non-stationary blur on texture biomarkers of bone using ultra-high resolution CT","display_name":"Effects of non-stationary blur on texture biomarkers of bone using ultra-high resolution CT","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4363647918","doi":"https://doi.org/10.1117/12.2654304","pmid":"https://pubmed.ncbi.nlm.nih.gov/38226358"},"language":"en","primary_location":{"id":"doi:10.1117/12.2654304","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10788132/pdf/nihms-1957389.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023100829","display_name":"Gengxin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gengxin Shi","raw_affiliation_strings":["Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205","Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2799853436"]},{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070989038","display_name":"Fernando J. Quevedo Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-6521-8754"},"institutions":[{"id":"https://openalex.org/I1281539108","display_name":"Hospital for Special Surgery","ror":"https://ror.org/03zjqec80","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1281539108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando Quevedo Gonzalez","raw_affiliation_strings":["Department of Biomechanics, Hospital for Special Surgery, New York, NY USA 10021","Hospital for Special Surgery (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomechanics, Hospital for Special Surgery, New York, NY USA 10021","institution_ids":["https://openalex.org/I1281539108"]},{"raw_affiliation_string":"Hospital for Special Surgery (United States)","institution_ids":["https://openalex.org/I1281539108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079627739","display_name":"Ryan Breighneer","orcid":null},"institutions":[{"id":"https://openalex.org/I1281539108","display_name":"Hospital for Special Surgery","ror":"https://ror.org/03zjqec80","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1281539108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Breighneer","raw_affiliation_strings":["Hospital for Special Surgery (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital for Special Surgery (United States)","institution_ids":["https://openalex.org/I1281539108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007488006","display_name":"John A. Carrino","orcid":"https://orcid.org/0000-0003-3472-2469"},"institutions":[{"id":"https://openalex.org/I1281539108","display_name":"Hospital for Special Surgery","ror":"https://ror.org/03zjqec80","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1281539108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Carrino","raw_affiliation_strings":["Hospital for Special Surgery, Radiology & Imaging, New York, NY USA 10021","Hospital for Special Surgery (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital for Special Surgery, Radiology & Imaging, New York, NY USA 10021","institution_ids":["https://openalex.org/I1281539108"]},{"raw_affiliation_string":"Hospital for Special Surgery (United States)","institution_ids":["https://openalex.org/I1281539108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108753671","display_name":"J. H. Siewerdsen","orcid":null},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffery H. Siewerdsen","raw_affiliation_strings":["MD Anderson Cancer Center, Houston, TX USA 77030"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MD Anderson Cancer Center, Houston, TX USA 77030","institution_ids":["https://openalex.org/I1343551460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079368329","display_name":"Wojciech Zbijewski","orcid":"https://orcid.org/0000-0001-7593-5394"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wojciech Zbijewski","raw_affiliation_strings":["Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205","Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2799853436"]},{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61276058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12468","issue":null,"first_page":"38","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.4447000026702881,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.4447000026702881,"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/T11363","display_name":"Dental Radiography and Imaging","score":0.17900000512599945,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10071","display_name":"Bone health and osteoporosis research","score":0.12210000306367874,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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":0.5851474404335022},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5538460612297058},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.46938177943229675},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45858168601989746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4243497848510742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41469836235046387},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3890713155269623},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.37845978140830994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13349872827529907},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08341601490974426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5851474404335022},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5538460612297058},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.46938177943229675},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45858168601989746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4243497848510742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41469836235046387},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3890713155269623},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.37845978140830994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13349872827529907},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08341601490974426}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2654304","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"},{"id":"pmid:38226358","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38226358","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 of SPIE--the International Society for Optical Engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10788132","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10788132","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10788132/pdf/nihms-1957389.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 SPIE Int Soc Opt Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10788132","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10788132","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10788132/pdf/nihms-1957389.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 SPIE Int Soc Opt Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1767428960","display_name":null,"funder_award_id":"R01 EB029446","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G1818302779","display_name":"Quantitative bone radiomics using Ultra-High Resolution CT","funder_award_id":"5r01eb029446-04","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4363647918.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2007641014","https://openalex.org/W2091947045","https://openalex.org/W2525756510","https://openalex.org/W2791506213","https://openalex.org/W2807418591","https://openalex.org/W2902807692","https://openalex.org/W3119018598","https://openalex.org/W3129502052","https://openalex.org/W3134352583"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W2158056054","https://openalex.org/W3023086044","https://openalex.org/W2906353151","https://openalex.org/W2294441925","https://openalex.org/W2142226356"],"abstract_inverted_index":{"Purpose:":[0],"To":[1],"advance":[2],"the":[3,12,89,97,103,107,145,152,179,199,216,274,309,336],"development":[4],"of":[5,8,24,64,134,185,237,245,255,276,294,297,313],"radiomic":[6,235],"models":[7,312],"bone":[9,26,187,299,314],"quality":[10,315],"using":[11],"recently":[13],"introduced":[14],"Ultra-High":[15],"Resolution":[16],"CT":[17,46,83,288,319],"(UHR":[18],"CT),":[19],"we":[20,105],"investigate":[21],"inter-scan":[22,292],"reproducibility":[23,293],"trabecular":[25,132,186,246,298],"texture":[27,126,162,192,295],"features":[28,48,127,163,207,236,296],"to":[29,67,110,221,241,271,325],"spatially-variant":[30,180],"azimuthal":[31],"and":[32,40,53,99,120,168,172,205,225,263,282],"radial":[33,86,114,250],"blurs":[34,109,181,231,290],"associated":[35],"with":[36,57,112],"focal":[37,61],"spot":[38],"elongation":[39],"gantry":[41],"rotation.":[42],"Methods:":[43],"The":[44,195,229],"UHR":[45,82,301,318],"system":[47,289],"250\u00d7250":[49],"\u03bcm":[50,69],"detector":[51],"pixels":[52],"an":[54,252],"x-ray":[55],"source":[56],"a":[58],"0.4\u00d70.5":[59],"mm":[60],"spot.":[62],"Visualization":[63],"details":[65],"down":[66],"~150":[68],"has":[70],"been":[71],"reported":[72],"for":[73,203,223,227,273,304],"this":[74],"device.":[75],"A":[76],"cadaveric":[77],"femur":[78],"was":[79,267],"imaged":[80],"on":[81,190],"at":[84,141,151,164,169,210,321],"three":[85],"locations":[87,143,305],"within":[88],"field-of-view:":[90],"0":[91,165,200,261,280],"cm":[92,95,101,138,166,171,201,262,265,281,284,307],"(isocenter),":[93],"9":[94,170,211,264],"from":[96,102,130,308,317],"isocenter,":[98],"18":[100,173,214,283],"isocenter;":[104],"expect":[106],"non-stationary":[108,230],"worsen":[111],"increasing":[113],"displacement.":[115],"Gray":[116],"level":[117,122],"cooccurrence":[118],"(GLCM)":[119],"gray":[121],"run":[123],"length":[124],"(GLRLM)":[125],"were":[128,208,219],"extracted":[129],"237":[131],"regions":[133],"interest":[135],"(ROIs,":[136],"5":[137],"diameter)":[139],"placed":[140],"corresponding":[142,256,277],"in":[144,148,234,243,300,330],"femoral":[146],"head":[147],"scans":[149],"obtained":[150],"different":[153,249],"shifts.":[154],"We":[155,175],"evaluated":[156],"concordance":[157],"correlation":[158],"coefficient":[159],"(CCC)":[160],"between":[161,248,260,279],"(reference)":[167],"cm.":[174,212],"also":[176],"investigated":[177],"whether":[178],"affect":[182],"K-means":[183],"clustering":[184,244],"ROIs":[188,247],"based":[189],"their":[191],"features.":[193],"Results:":[194],"average":[196,217],"CCCs":[197,218],"(against":[198],"reference)":[202],"GLCM":[204,224],"GLRM":[206],"~0.7":[209],"At":[213],"cm,":[215],"reduced":[220],"~0.17":[222],"~0.26":[226],"GLRM.":[228],"are":[232],"incorporated":[233],"cancellous":[238],"bone,":[239],"leading":[240],"inconsistencies":[242],"locations:":[251],"intersection-over-union":[253],"overlap":[254],"(most":[257],"similar)":[258],"clusters":[259,278],"shift":[266],">70%,":[268],"but":[269],"dropped":[270],"<60%":[272],"majority":[275],"shift.":[285],"Conclusion:":[286],"Non-stationary":[287],"reduce":[291],"CT,":[302],"especially":[303],">15":[306],"isocenter.":[310],"Radiomic":[311],"derived":[316],"measurements":[320],"isocenter":[322],"might":[323],"need":[324],"be":[326],"revised":[327],"before":[328],"application":[329],"peripheral":[331],"body":[332],"sites":[333],"such":[334],"as":[335],"hips.":[337]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}