{"id":"https://openalex.org/W2791685204","doi":"https://doi.org/10.1117/12.2294984","title":"Assessment of DBT acquisition parameters for 2D and 3D search tasks","display_name":"Assessment of DBT acquisition parameters for 2D and 3D search tasks","publication_year":2018,"publication_date":"2018-03-07","ids":{"openalex":"https://openalex.org/W2791685204","doi":"https://doi.org/10.1117/12.2294984","mag":"2791685204"},"language":"en","primary_location":{"id":"doi:10.1117/12.2294984","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2294984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment","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/A5032527429","display_name":"Howard C. Gifford","orcid":"https://orcid.org/0000-0001-6664-9943"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Howard C. Gifford","raw_affiliation_strings":["Univ of Houston (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ of Houston (United States)","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061814059","display_name":"Mini Das","orcid":"https://orcid.org/0000-0001-6591-4768"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mini Das","raw_affiliation_strings":["Univ. of Houston (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Houston (United States)","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02765383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8668","issue":null,"first_page":"17","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991999864578247,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6680853366851807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32373517751693726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6680853366851807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32373517751693726}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2294984","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2294984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2004298112","https://openalex.org/W2010135030","https://openalex.org/W2027350185","https://openalex.org/W2032852933","https://openalex.org/W2034984003","https://openalex.org/W2041066345","https://openalex.org/W2073128216","https://openalex.org/W2077195075","https://openalex.org/W2084804876","https://openalex.org/W2157812230","https://openalex.org/W2161190560","https://openalex.org/W2290987211","https://openalex.org/W2594521865","https://openalex.org/W6658927038","https://openalex.org/W6734978522"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"A":[0,138],"concern":[1],"with":[2,123,186],"using":[3],"mathematical":[4],"model":[5,141],"observers":[6],"to":[7,15,39,50,117,133,161],"gauge":[8],"medical":[9],"image":[10,82],"quality":[11],"is":[12,49],"whether":[13],"and":[14,42,84,89,128,131,149],"what":[16],"degree":[17],"task":[18],"simplifications":[19],"can":[20,61],"affect":[21],"study":[22],"outcomes.":[23],"Researchers":[24],"are":[25],"interested":[26],"in":[27,166],"assessments":[28],"based":[29,79],"on":[30,80],"clinically":[31],"realistic":[32],"tasks,":[33],"but":[34],"routinely":[35],"implement":[36],"simplified":[37],"tasks":[38],"manage":[40],"time":[41],"computation.":[43],"The":[44,153,169],"goal":[45],"of":[46,54,67,106,111,175],"this":[47],"work":[48],"examine":[51],"how":[52],"optimization":[53],"digital":[55,91],"breast":[56,92],"tomosynthesis":[57],"(DBT)":[58],"acquisition":[59,104],"parameters":[60],"be":[62],"influenced":[63],"by":[64,173],"the":[65,109,124,147,187,192],"consideration":[66],"2D":[68,148,156],"or":[69],"3D":[70,150,188],"search":[71],"tasks.":[72],"Localization":[73],"ROC":[74],"(LROC)":[75],"observer":[76,142,154],"studies":[77],"were":[78,121,171],"simulated":[81],"slices":[83],"volumes":[85,120],"obtained":[86],"from":[87,115],"low-":[88],"medium-density":[90],"phantoms":[93],"containing":[94],"8-mm":[95],"spherical":[96],"masses.":[97],"An":[98],"analytic":[99],"cone-beam":[100],"projector":[101],"used":[102,155],"an":[103,167],"arc":[105],"60°":[107],"while":[108],"number":[110],"angular":[112],"projections":[113],"varied":[114],"3":[116],"51.":[118],"Image":[119],"reconstructed":[122],"Feldkamp":[125],"FBP":[126],"algorithm":[127],"then":[129],"postfiltered":[130],"thresholded":[132],"eliminate":[134],"negative":[135],"pixel":[136],"values.":[137],"visual-search":[139],"(VS)":[140],"was":[143],"applied":[144],"for":[145,191],"both":[146],"LROC":[151],"studies.":[152],"spatial":[157],"derivatives":[158],"as":[159],"features":[160],"find":[162],"suspicious":[163],"candidate":[164],"locations":[165],"image.":[168],"candidates":[170],"compared":[172],"means":[174],"a":[176],"binary":[177],"Hotelling":[178],"discriminant.":[179],"Preliminary":[180],"results":[181],"indicated":[182],"substantially":[183],"reduced":[184],"performance":[185],"task,":[189],"particularly":[190],"more-dense":[193],"cases.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}