{"id":"https://openalex.org/W4388033130","doi":"https://doi.org/10.1186/s12880-023-01139-7","title":"Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience","display_name":"Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4388033130","doi":"https://doi.org/10.1186/s12880-023-01139-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/37904089"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-023-01139-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01139-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01139-7","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://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01139-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041315606","display_name":"Makoto Orii","orcid":"https://orcid.org/0000-0001-6444-571X"},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Makoto Orii","raw_affiliation_strings":["Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan. kori931@gmail.com","Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan. kori931@gmail.com","institution_ids":["https://openalex.org/I180680657"]},{"raw_affiliation_string":"Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062267949","display_name":"Misato Sone","orcid":null},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Misato Sone","raw_affiliation_strings":["Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029628223","display_name":"Takeshi Osaki","orcid":null},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Osaki","raw_affiliation_strings":["Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067931856","display_name":"Yuta Ueyama","orcid":null},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Ueyama","raw_affiliation_strings":["Center for Radiological Science, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Radiological Science, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041815199","display_name":"Takuya Chiba","orcid":"https://orcid.org/0000-0001-6157-7936"},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Chiba","raw_affiliation_strings":["Center for Radiological Science, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Radiological Science, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054995170","display_name":"Tadashi Sasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Sasaki","raw_affiliation_strings":["Center for Radiological Science, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Radiological Science, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038289169","display_name":"Kunihiro Yoshioka","orcid":"https://orcid.org/0000-0002-0100-042X"},"institutions":[{"id":"https://openalex.org/I180680657","display_name":"Iwate Medical University","ror":"https://ror.org/04cybtr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I180680657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunihiro Yoshioka","raw_affiliation_strings":["Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Iwate Medical University, 2-1-1, Idaidori, Yahaba, 028-3695, Japan","institution_ids":["https://openalex.org/I180680657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041315606"],"corresponding_institution_ids":["https://openalex.org/I180680657"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":2.7871,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91320819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"171","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9995999932289124,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9995999932289124,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9984999895095825,"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":0.9969000220298767,"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/medicine","display_name":"Medicine","score":0.8579073548316956},{"id":"https://openalex.org/keywords/coronary-arteries","display_name":"Coronary arteries","score":0.7232558131217957},{"id":"https://openalex.org/keywords/interquartile-range","display_name":"Interquartile range","score":0.715965211391449},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5825431942939758},{"id":"https://openalex.org/keywords/stent","display_name":"Stent","score":0.527556836605072},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.5213388204574585},{"id":"https://openalex.org/keywords/computed-tomography-angiography","display_name":"Computed tomography angiography","score":0.49604305624961853},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.49291157722473145},{"id":"https://openalex.org/keywords/contrast-to-noise-ratio","display_name":"Contrast-to-noise ratio","score":0.438755601644516},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4176703989505768},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4117542505264282},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.3388836681842804},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.28536903858184814},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.21228036284446716},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20815393328666687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10859367251396179},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06759661436080933}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.8579073548316956},{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.7232558131217957},{"id":"https://openalex.org/C119060515","wikidata":"https://www.wikidata.org/wiki/Q1916617","display_name":"Interquartile range","level":2,"score":0.715965211391449},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5825431942939758},{"id":"https://openalex.org/C2778583881","wikidata":"https://www.wikidata.org/wiki/Q1325542","display_name":"Stent","level":2,"score":0.527556836605072},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.5213388204574585},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.49604305624961853},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.49291157722473145},{"id":"https://openalex.org/C86190813","wikidata":"https://www.wikidata.org/wiki/Q5165749","display_name":"Contrast-to-noise ratio","level":4,"score":0.438755601644516},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4176703989505768},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4117542505264282},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3388836681842804},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.28536903858184814},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.21228036284446716},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20815393328666687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10859367251396179},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06759661436080933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","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":"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":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","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":"D015607","descriptor_name":"Stents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015607","descriptor_name":"Stents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015607","descriptor_name":"Stents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-023-01139-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01139-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01139-7","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:37904089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37904089","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":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10617195","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10617195","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10617195/pdf/12880_2023_Article_1139.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":"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"},{"id":"pmh:oai:doaj.org/article:23dcf8a4126a4f8bb086b62da23bdd8f","is_oa":true,"landing_page_url":"https://doaj.org/article/23dcf8a4126a4f8bb086b62da23bdd8f","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 23, Iss 1, Pp 1-10 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12880-023-01139-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-023-01139-7","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01139-7","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":[{"id":"https://openalex.org/G1004251259","display_name":"Development of the diagnostic imaging supporting system for the artery of Adamkiewicz","funder_award_id":"21K07572","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1725641932","display_name":"Identification of risk of developing aortic dissection using artificial intelligence and establishment of a high-risk group sharing system","funder_award_id":"22K07803","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388033130.pdf","grobid_xml":"https://content.openalex.org/works/W4388033130.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1949839429","https://openalex.org/W2000919224","https://openalex.org/W2031576042","https://openalex.org/W2072949684","https://openalex.org/W2076436884","https://openalex.org/W2080723593","https://openalex.org/W2094153418","https://openalex.org/W2105010133","https://openalex.org/W2115673266","https://openalex.org/W2124295282","https://openalex.org/W2143684153","https://openalex.org/W2530696279","https://openalex.org/W2589032468","https://openalex.org/W2791117392","https://openalex.org/W2799559637","https://openalex.org/W2809466833","https://openalex.org/W2937456081","https://openalex.org/W3042422576","https://openalex.org/W3193645137","https://openalex.org/W4212792128","https://openalex.org/W4281975736","https://openalex.org/W4317513924","https://openalex.org/W4317693676"],"related_works":["https://openalex.org/W2027214822","https://openalex.org/W2022654398","https://openalex.org/W2088077666","https://openalex.org/W2507293823","https://openalex.org/W2802774468","https://openalex.org/W1964826662","https://openalex.org/W2011145704","https://openalex.org/W2063917964","https://openalex.org/W1747619960","https://openalex.org/W3020533194"],"abstract_inverted_index":{"A":[0],"super-resolution":[1],"deep":[2],"learning":[3],"reconstruction":[4,79],"(SR-DLR)":[5],"algorithm":[6],"trained":[7],"using":[8,100,270],"data":[9],"acquired":[10],"on":[11,30,36,160,167,211,218,261,264],"the":[12,20,31,43,64,68,115,124,129,138,145,185,275,300,310,315],"ultrahigh":[13],"spatial":[14],"resolution":[15],"computed":[16,49],"tomography":[17,50],"(UHRCT)":[18],"has":[19],"potential":[21],"to":[22,62,309],"provide":[23],"better":[24,311],"image":[25,65,112,158,312],"quality":[26,66,313],"of":[27,45,67,123,302,314],"coronary":[28,48,69,140,272,316],"arteries":[29,70,141,317],"whole-heart,":[32],"single-rotation":[33],"cardiac":[34],"coverage":[35],"a":[37,101],"320-detector":[38,102],"row":[39,103],"CT":[40,104],"scanner.":[41],"However,":[42],"advantages":[44],"SR-DLR":[46,75,161,212,262,297],"at":[47,321],"angiography":[51,273],"(CCTA)":[52],"have":[53],"not":[54],"been":[55],"fully":[56],"investigated.":[57],"The":[58,111,157],"present":[59],"study":[60],"aimed":[61],"compare":[63],"and":[71,76,108,120,128,133,151,198,240,282,318],"in-stent":[72,241,319],"lumen":[73,320],"between":[74,106],"model-based":[77],"iterative":[78],"(MBIR).":[80],"We":[81],"prospectively":[82],"enrolled":[83],"70":[84],"patients":[85],"(median":[86,169,187,200],"age,":[87],"69":[88],"years;":[89,94],"interquartile":[90],"range":[91],"[IQR],":[92],"59-75":[93],"50":[95],"men)":[96],"who":[97],"underwent":[98],"CCTA":[99,289,303,322],"scanner":[105],"January":[107],"August":[109],"2022.":[110],"noise":[113,159],"in":[114,137,284,304],"ascending":[116],"aorta,":[117],"left":[118],"atrium,":[119],"septal":[121],"wall":[122],"ventricle":[125],"was":[126,162],"measured,":[127],"signal-to-noise":[130],"ratio":[131,135],"(SNR)":[132],"contrast-to-noise":[134],"(CNR)":[136],"proximal":[139],"were":[142,154,213,222,243],"calculated.":[143],"Of":[144],"twenty":[146],"stents,":[147],"stent":[148],"strut":[149],"thickness":[150],"luminal":[152],"diameter":[153],"quantitatively":[155],"evaluated.":[156],"significantly":[163,214,223,244],"lower":[164],"than":[165,216,263],"that":[166,217],"MBIR":[168],"22.1":[170],"HU;":[171,177],"IQR,":[172,178,189,193,202,206,228,234,249,255],"19.3-24.9":[173],"HU":[174],"vs.":[175,191,204,231,252],"27.4":[176],"24.2-31.2":[179],"HU,":[180],"p":[181,195,208,237,258],"<":[182,209,238,259],"0.01),":[183],"whereas":[184],"SNR":[186],"16.3;":[188],"11.8-21.8":[190],"13.7;":[192],"9.9-18.4,":[194],"=":[196],"0.01)":[197,210,239,260],"CNR":[199],"24.4;":[201],"15.5-30.2":[203],"19.2;":[205],"14.1-23.2,":[207],"higher":[215],"MBIR.":[219,265,326],"Stent":[220],"struts":[221],"thinner":[224],"(median,":[225,246],"0.68":[226],"mm;":[227,233,248,254],"0.61-0.78":[229],"mm":[230,251],"0.81":[232],"0.72-0.96":[235],"mm,":[236,257],"lumens":[242],"larger":[245],"1.84":[247],"1.65-2.26":[250],"1.52":[253],"1.28-2.25":[256],"Although":[266],"further":[267],"large-scale":[268],"studies":[269,279,283],"invasive":[271],"as":[274],"reference":[276],"standard,":[277],"comparative":[278],"with":[280,296,324],"UHRCT,":[281],"more":[285],"challenging":[286],"population":[287],"for":[288],"are":[290],"needed,":[291],"this":[292],"study's":[293],"initial":[294],"experience":[295],"would":[298],"improve":[299],"utility":[301],"daily":[305],"clinical":[306],"practice":[307],"due":[308],"compared":[323],"conventional":[325]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
