{"id":"https://openalex.org/W2880631390","doi":"https://doi.org/10.1117/12.2317789","title":"Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning","display_name":"Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2880631390","doi":"https://doi.org/10.1117/12.2317789","mag":"2880631390"},"language":"en","primary_location":{"id":"doi:10.1117/12.2317789","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2317789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","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/A5097240861","display_name":"Syed A. Qadir","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Syed A. Qadir","raw_affiliation_strings":["Illinois Institute of Technology (United States)"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology (United States)","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001618124","display_name":"Amin Zarshenas","orcid":"https://orcid.org/0000-0002-3797-3960"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amin Zarshenas","raw_affiliation_strings":["Illinois Institute of Technology (United States)"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology (United States)","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085818786","display_name":"Limin Yang","orcid":"https://orcid.org/0000-0001-5652-9382"},"institutions":[{"id":"https://openalex.org/I2802216851","display_name":"University of Iowa Hospitals and Clinics","ror":"https://ror.org/04g2swc55","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I126307644","https://openalex.org/I2802216851"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Limin Yang","raw_affiliation_strings":["The Univ. of Iowa Hospitals and Clinics (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa Hospitals and Clinics (United States)","institution_ids":["https://openalex.org/I2802216851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023207685","display_name":"Junchi Liu","orcid":"https://orcid.org/0000-0003-1024-8117"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junchi Liu","raw_affiliation_strings":["Illinois Institute of Technology (United States)"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology (United States)","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023887141","display_name":"Laurie L. Fajardo","orcid":"https://orcid.org/0000-0001-6853-4832"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laurie Fajardo","raw_affiliation_strings":["The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050949810","display_name":"Kenji Suzuki","orcid":"https://orcid.org/0000-0002-3993-8309"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenji Suzuki","raw_affiliation_strings":["Illinois Institute of Technology (United States)"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology (United States)","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5097240861"],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":0.7267,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73317573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"15","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10862","display_name":"AI in cancer detection","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.992900013923645,"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/convolution","display_name":"Convolution (computer science)","score":0.7904568910598755},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6438995599746704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.583725094795227},{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.5010783672332764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4953874349594116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48545557260513306},{"id":"https://openalex.org/keywords/radiation-dose","display_name":"Radiation dose","score":0.45534926652908325},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.3387320041656494},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.25136566162109375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20739290118217468},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1471627652645111},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.11241477727890015}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7904568910598755},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6438995599746704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.583725094795227},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.5010783672332764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4953874349594116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48545557260513306},{"id":"https://openalex.org/C2987700449","wikidata":"https://www.wikidata.org/wiki/Q186161","display_name":"Radiation dose","level":2,"score":0.45534926652908325},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.3387320041656494},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.25136566162109375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20739290118217468},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1471627652645111},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.11241477727890015},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2317789","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2317789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7200000286102295,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1601680203","https://openalex.org/W1938908299","https://openalex.org/W1988264599","https://openalex.org/W1991064064","https://openalex.org/W1994127966","https://openalex.org/W2006527136","https://openalex.org/W2023522838","https://openalex.org/W2041831159","https://openalex.org/W2056370875","https://openalex.org/W2065455963","https://openalex.org/W2092183378","https://openalex.org/W2099244020","https://openalex.org/W2103311002","https://openalex.org/W2111470548","https://openalex.org/W2114973443","https://openalex.org/W2115546724","https://openalex.org/W2118857601","https://openalex.org/W2120805174","https://openalex.org/W2125449863","https://openalex.org/W2127085684","https://openalex.org/W2127109751","https://openalex.org/W2128392486","https://openalex.org/W2133665775","https://openalex.org/W2138128938","https://openalex.org/W2138517967","https://openalex.org/W2160547390","https://openalex.org/W2167762696","https://openalex.org/W2235523093","https://openalex.org/W2240773480","https://openalex.org/W2461640426","https://openalex.org/W2485747647","https://openalex.org/W2731899572","https://openalex.org/W2751968568","https://openalex.org/W2793212712","https://openalex.org/W2794232224","https://openalex.org/W4212861049","https://openalex.org/W6636045111","https://openalex.org/W6675077989","https://openalex.org/W6743448504","https://openalex.org/W6749723964","https://openalex.org/W7073779106"],"related_works":["https://openalex.org/W1970477251","https://openalex.org/W1514924336","https://openalex.org/W2801932203","https://openalex.org/W2002967116","https://openalex.org/W2622419930","https://openalex.org/W3091146503","https://openalex.org/W2895170744","https://openalex.org/W4401958832","https://openalex.org/W2024400191","https://openalex.org/W2291599349"],"abstract_inverted_index":{"To":[0,140],"reduce":[1],"cumulative":[2],"radiation":[3,24,157],"exposure":[4],"and":[5,72,162,204,230],"lifetime":[6],"risks":[7],"for":[8,23],"radiation-induced":[9],"cancer":[10,13],"from":[11],"breast":[12,29,90,261],"screening,":[14],"we":[15,146,191,264],"developed":[16],"neural":[17,38],"network":[18,39],"convolution":[19],"(NNC)":[20],"deep":[21,34],"learning":[22,35],"dose":[25,143,186,267],"reduction":[26,144,268],"in":[27,41],"digital":[28],"tomosynthesis":[30,52,133],"(DBT).":[31],"Our":[32,178,232],"NNC":[33,57,106,233],"employed":[36],"patched-based":[37],"regression":[40],"a":[42,89,95,136,142],"convolutional":[43],"manner":[44],"to":[45,49,117,173,184,243,250],"convert":[46],"lower-dose":[47],"(LD)":[48],"higher-dose":[50,75],"(HD)":[51,76],"images.":[53,111,130],"We":[54,131],"trained":[55],"our":[56,255],"with":[58,94,221],"quarter-dose":[59],"(25%":[60],"of":[61,79,88,150,195,207,217,227,238,259],"the":[62,80,125,175,196,208,222,239,271],"standard":[63,81,197,209],"dose:":[64,82,198,210],"12":[65],"mAs":[66,84,200,212],"at":[67,85,154,201,213,225],"32":[68,86],"kVp)":[69,87,203],"raw-projection":[70],"images":[71,77,116,118,216,237,246],"corresponding":[73],"\u201cteaching\u201d":[74],"(200%":[78],"99":[83],"cadaver":[91,179],"phantom":[92,153,180],"acquired":[93,147],"DBT":[96,138,223,236,245,252],"system":[97,224],"(Selenia":[98],"Dimensions,":[99],"Hologic,":[100],"Inc,":[101],"Bedford,":[102],"MA).":[103],"Once":[104],"trained,":[105],"no":[107],"longer":[108],"requires":[109],"HD":[110,122,128],"It":[112],"converts":[113],"new":[114],"LD":[115],"that":[119,247],"look":[120],"like":[121],"images;":[123],"thus":[124],"term":[126],"\u201cvirtual\u201d":[127],"(VHD)":[129],"reconstructed":[132],"slices":[134],"on":[135],"research":[137],"system.":[139],"determine":[141],"rate,":[145],"4":[148,155],"studies":[149],"another":[151],"test":[152],"different":[156],"doses":[158],"(1.35,":[159],"2.7,":[160],"4.04,":[161],"5.39":[163],"mGy":[164],"entrance":[165],"dose).":[166],"Structural":[167],"SIMilarity":[168],"(SSIM)":[169],"index":[170],"was":[171],"used":[172],"evaluate":[174],"image":[176,272],"quality.":[177,273],"experiment":[181],"demonstrated":[182],"up":[183],"79%":[185],"reduction.":[187],"For":[188],"further":[189],"testing,":[190],"collected":[192],"half-dose":[193,235],"(50%":[194],"32±14":[199],"33±5":[202,214],"full-dose":[205,251],"(100%":[206],"68±23":[211],"kvp)":[215],"10":[218,240,260],"clinical":[219,241],"cases":[220,242],"University":[226],"Iowa":[228],"Hospitals":[229],"Clinics.":[231],"converted":[234],"VHD":[244],"were":[248],"equivalent":[249],"images,":[253],"according":[254],"observer":[256],"rating":[257],"study":[258],"radiologists.":[262],"Thus,":[263],"achieved":[265],"50%":[266],"without":[269],"sacrificing":[270]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}