{"id":"https://openalex.org/W3164294465","doi":"https://doi.org/10.1186/s12880-021-00677-2","title":"Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction","display_name":"Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction","publication_year":2021,"publication_date":"2021-10-10","ids":{"openalex":"https://openalex.org/W3164294465","doi":"https://doi.org/10.1186/s12880-021-00677-2","mag":"3164294465","pmid":"https://pubmed.ncbi.nlm.nih.gov/34629049"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-021-00677-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-021-00677-2","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-021-00677-2.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s12880-021-00677-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034138684","display_name":"Haesung Yoon","orcid":"https://orcid.org/0000-0003-0581-8656"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I2799970807","display_name":"Severance Hospital","ror":"https://ror.org/044kjp413","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I2799970807","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haesung Yoon","raw_affiliation_strings":["Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0581-8656","affiliations":[{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I2799970807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391615","display_name":"Jisoo Kim","orcid":"https://orcid.org/0000-0002-3481-127X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I2799970807","display_name":"Severance Hospital","ror":"https://ror.org/044kjp413","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I2799970807","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jisoo Kim","raw_affiliation_strings":["Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3481-127X","affiliations":[{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I2799970807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027292502","display_name":"Hyun Ji Lim","orcid":"https://orcid.org/0000-0001-5537-2360"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I2799970807","display_name":"Severance Hospital","ror":"https://ror.org/044kjp413","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I2799970807","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Ji Lim","raw_affiliation_strings":["Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5537-2360","affiliations":[{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I2799970807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012857489","display_name":"Mi\u2010Jung Lee","orcid":"https://orcid.org/0000-0003-3244-9171"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I2799970807","display_name":"Severance Hospital","ror":"https://ror.org/044kjp413","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I2799970807","https://openalex.org/I4210160791"]},{"id":"https://openalex.org/I4210160791","display_name":"Yonsei University Health System","ror":"https://ror.org/04sze3c15","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mi-Jung Lee","raw_affiliation_strings":["Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. mjl1213@yuhs.ac","Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3244-9171","affiliations":[{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. mjl1213@yuhs.ac","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I2799970807","https://openalex.org/I4210160791"]},{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I2799970807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012857489"],"corresponding_institution_ids":["https://openalex.org/I193775966","https://openalex.org/I2799970807","https://openalex.org/I4210160791"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":2.9139,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91530616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"146","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10844","display_name":"Radiation Dose and Imaging","score":0.6324999928474426,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.6324999928474426,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.20329999923706055,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.05909999832510948,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6712624430656433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.635847806930542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301536560058594},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6257237792015076},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6106368899345398},{"id":"https://openalex.org/keywords/abdomen","display_name":"Abdomen","score":0.505450963973999},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.455074667930603},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.43743813037872314},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4326569736003876},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4259990453720093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42491504549980164},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.41659659147262573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.376817524433136}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6712624430656433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.635847806930542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301536560058594},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6257237792015076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6106368899345398},{"id":"https://openalex.org/C2779983558","wikidata":"https://www.wikidata.org/wiki/Q9597","display_name":"Abdomen","level":2,"score":0.505450963973999},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.455074667930603},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.43743813037872314},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4326569736003876},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4259990453720093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42491504549980164},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.41659659147262573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.376817524433136}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12880-021-00677-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-021-00677-2","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-021-00677-2.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34629049","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34629049","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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:669e3ec46ea944888203d414dcb376ed","is_oa":true,"landing_page_url":"https://doaj.org/article/669e3ec46ea944888203d414dcb376ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)","raw_type":"article"},{"id":"pmh:oai:ir.ymlib.yonsei.ac.kr:22282913/185975","is_oa":true,"landing_page_url":"https://ir.ymlib.yonsei.ac.kr/handle/22282913/185975","pdf_url":null,"source":{"id":"https://openalex.org/S4306400691","display_name":"YUHSpace (Yonsei University Medical Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193775966","host_organization_name":"Yonsei University","host_organization_lineage":["https://openalex.org/I193775966"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8503996","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8503996","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-021-00677-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-021-00677-2","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-021-00677-2.pdf","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321314","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96"},{"id":"https://openalex.org/F4320335295","display_name":"Yonsei University College of Medicine","ror":"https://ror.org/01wjejq96"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164294465.pdf","grobid_xml":"https://content.openalex.org/works/W3164294465.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1966364402","https://openalex.org/W1988604645","https://openalex.org/W1994233992","https://openalex.org/W1999325277","https://openalex.org/W2034903235","https://openalex.org/W2052829179","https://openalex.org/W2059710083","https://openalex.org/W2127416880","https://openalex.org/W2129241337","https://openalex.org/W2134471668","https://openalex.org/W2141834520","https://openalex.org/W2159642028","https://openalex.org/W2162987941","https://openalex.org/W2320212003","https://openalex.org/W2744056307","https://openalex.org/W2746168118","https://openalex.org/W2799851267","https://openalex.org/W2936378778","https://openalex.org/W2946539594","https://openalex.org/W2971089102","https://openalex.org/W3000953045","https://openalex.org/W3006526713","https://openalex.org/W3006578793","https://openalex.org/W3007407399","https://openalex.org/W3015948052","https://openalex.org/W3092367716","https://openalex.org/W3092795189","https://openalex.org/W3099029995","https://openalex.org/W3129055040"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"BACKGROUND:":[0],"Efforts":[1],"to":[2,30,34,48,79,127,142,148],"reduce":[3],"the":[4,36,50,181,185,193,282,314,320],"radiation":[5],"dose":[6,182],"have":[7,27],"continued":[8],"steadily,":[9],"with":[10,129,212,239,247,264,324,333],"new":[11],"reconstruction":[12,25,33,40,121,302],"techniques.":[13],"Recently,":[14],"image":[15,32,54,155,279],"denoising":[16],"algorithms":[17],"using":[18,166,206],"artificial":[19],"neural":[20],"networks,":[21],"termed":[22],"deep":[23],"learning":[24],"(DLR),":[26],"been":[28],"applied":[29],"CT":[31,65,74,96,102,109,235,253,257,262,331],"overcome":[35],"drawbacks":[37],"of":[38,44,56,184,209,277,312,316,345],"iterative":[39,120],"(IR).":[41],"The":[42,274],"purpose":[43],"our":[45,190],"study":[46,70],"was":[47,178,198,245,284,295],"compare":[49],"objective":[51],"and":[52,58,63,88,106,132,136,146,158,173,192,201,215,224,233,259,271,281],"subjective":[53,275],"quality":[55,280],"DLR":[57,133,220,244,288,307,327],"IR":[59],"on":[60,83,287],"pediatric":[61,72,231,329],"abdomen":[62,108,234,261],"chest":[64,95,101,232,252,256],"images.":[66,236],"METHODS:":[67],"This":[68],"retrospective":[69],"included":[71],"body":[73,330],"images":[75,113,124,128,187,289,332],"from":[76],"February":[77],"2020":[78],"October":[80],"2020,":[81],"performed":[82,179],"51":[84],"patients":[85],"(34":[86],"boys":[87],"17":[89],"girls;":[90],"age":[91],"1-18":[92],"years).":[93],"Non-contrast":[94],"(n":[97,103,110],"=":[98,104,111],"16),":[99],"contrast-enhanced":[100,107,255,260],"12),":[105],"23)":[112],"were":[114,125,152,160,204,339],"included.":[115],"Standard":[116],"50%":[117,227,240,325],"adaptive":[118],"statistical":[119],"V":[122],"(ASIR-V)":[123],"compared":[126,205,238],"100%":[130],"ASIR-V":[131,228],"at":[134,268],"medium":[135],"high":[137,242],"strengths.":[138],"Attenuation,":[139],"noise,":[140],"contrast":[141],"noise":[143,149,159,194,248,283,317,335],"ratio":[144],"(CNR),":[145],"signal":[147],"(SNR)":[150],"measurements":[151],"performed.":[153],"Overall":[154],"quality,":[156],"artifacts,":[157],"subjectively":[161],"assessed":[162],"by":[163,342],"two":[164],"radiologists":[165],"a":[167,310],"four-point":[168],"scale":[169],"(superior,":[170],"average,":[171],"suboptimal,":[172],"unacceptable).":[174],"A":[175],"phantom":[176],"scan":[177],"including":[180],"range":[183],"clinical":[186],"used":[188],"in":[189,229,250,266,299],"study,":[191],"power":[195],"spectrum":[196],"(NPS)":[197],"calculated.":[199],"Quantitative":[200],"qualitative":[202],"parameters":[203],"repeated-measures":[207],"analysis":[208],"variance":[210],"(ANOVA)":[211],"Bonferroni":[213],"correction":[214],"Wilcoxon":[216],"signed-rank":[217],"tests.":[218],"RESULTS:":[219],"had":[221],"better":[222,286],"CNR":[223,267],"SNR":[225],"than":[226],"both":[230],"When":[237],"ASIR-V,":[241,326],"strength":[243],"associated":[246],"reduction":[249],"non-contrast":[251],"(33.0%),":[254],"(39.6%),":[258],"(38.7%)":[263],"increases":[265],"149.1%,":[269],"105.8%,":[270],"53.1%":[272],"respectively.":[273],"assessment":[276],"overall":[278],"also":[285],"(p":[290],"<":[291],"0.001).":[292],"However,":[293,337],"there":[294],"no":[296],"significant":[297,334],"difference":[298],"artifacts":[300,338],"between":[301],"methods.":[303],"From":[304],"NPS":[305],"analysis,":[306],"methods":[308],"showed":[309],"pattern":[311],"reducing":[313],"magnitude":[315],"while":[318],"maintaining":[319],"texture.":[321],"CONCLUSION:":[322],"Compared":[323],"improved":[328,341],"reduction.":[336],"not":[340],"DLR,":[343],"regardless":[344],"strength.":[346]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}