{"id":"https://openalex.org/W2507291501","doi":"https://doi.org/10.1109/tmi.2016.2603843","title":"Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method","display_name":"Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method","publication_year":2016,"publication_date":"2016-08-26","ids":{"openalex":"https://openalex.org/W2507291501","doi":"https://doi.org/10.1109/tmi.2016.2603843","mag":"2507291501","pmid":"https://pubmed.ncbi.nlm.nih.gov/27576245"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2016.2603843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2603843","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5391999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086792600","display_name":"Guanglei Zhang","orcid":"https://orcid.org/0000-0002-2617-9673"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Guanglei Zhang","raw_affiliation_strings":["Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China","Department of Radiation Oncology, Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Radiation Oncology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783051","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0003-0266-6896"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617633","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-6738-4801"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084231233","display_name":"Jianwen Luo","orcid":"https://orcid.org/0000-0001-9215-5568"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Luo","raw_affiliation_strings":["Department of Biomedical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086187557","display_name":"Yaoqin Xie","orcid":"https://orcid.org/0000-0002-1412-2354"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoqin Xie","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746164","display_name":"Jing Bai","orcid":"https://orcid.org/0000-0001-5412-7793"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bai","raw_affiliation_strings":["Department of Biomedical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381484","display_name":"Lei Xing","orcid":"https://orcid.org/0000-0003-2536-5359"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Xing","raw_affiliation_strings":["Department of Radiation Oncology, Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.1554,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.97888714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"225","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9994999766349792,"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/inverse-problem","display_name":"Inverse problem","score":0.6036539673805237},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5482379794120789},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5062479376792908},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.41138818860054016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40227630734443665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3734446167945862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36445432901382446},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3532887399196625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35059139132499695},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27877306938171387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16514989733695984},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12692618370056152}],"concepts":[{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6036539673805237},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5482379794120789},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5062479376792908},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.41138818860054016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40227630734443665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3734446167945862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36445432901382446},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3532887399196625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35059139132499695},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27877306938171387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16514989733695984},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12692618370056152}],"mesh":[{"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049449","descriptor_name":"Luminescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049449","descriptor_name":"Luminescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049449","descriptor_name":"Luminescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051379","descriptor_name":"Mice","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2016.2603843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2603843","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:27576245","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27576245","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:5391999","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5391999","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5391999","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5391999","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1086118996","display_name":null,"funder_award_id":"No. 2015JBM026","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1291196384","display_name":null,"funder_award_id":"No. 7164270","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G2040460415","display_name":null,"funder_award_id":"No. 1R01 EB016777","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4462124695","display_name":null,"funder_award_id":"No. 201507095005","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4571116943","display_name":null,"funder_award_id":"61322101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5329320452","display_name":null,"funder_award_id":"No. 2015M570032","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5729461023","display_name":null,"funder_award_id":"No 61601019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6098256121","display_name":null,"funder_award_id":"81571836","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1498305593","https://openalex.org/W1966737625","https://openalex.org/W1968505208","https://openalex.org/W1969013005","https://openalex.org/W1971850777","https://openalex.org/W2004435739","https://openalex.org/W2007007668","https://openalex.org/W2017681401","https://openalex.org/W2020113925","https://openalex.org/W2024323392","https://openalex.org/W2024912216","https://openalex.org/W2031604650","https://openalex.org/W2046658845","https://openalex.org/W2051622741","https://openalex.org/W2054769725","https://openalex.org/W2062095362","https://openalex.org/W2062958693","https://openalex.org/W2074138648","https://openalex.org/W2075146114","https://openalex.org/W2076961008","https://openalex.org/W2079822346","https://openalex.org/W2088347002","https://openalex.org/W2090092771","https://openalex.org/W2101301278","https://openalex.org/W2102947851","https://openalex.org/W2104681793","https://openalex.org/W2106030748","https://openalex.org/W2112579958","https://openalex.org/W2113535195","https://openalex.org/W2119311526","https://openalex.org/W2126502385","https://openalex.org/W2136902994","https://openalex.org/W2136956182","https://openalex.org/W2138233479","https://openalex.org/W2140041425","https://openalex.org/W2142563577","https://openalex.org/W2144989707","https://openalex.org/W2157812230","https://openalex.org/W2158991213","https://openalex.org/W2163131994","https://openalex.org/W2166887721","https://openalex.org/W2215806624","https://openalex.org/W2230645348","https://openalex.org/W2315060029","https://openalex.org/W6629622560","https://openalex.org/W6675282268","https://openalex.org/W6677839878"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1988158806","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W2507293823","https://openalex.org/W2035870250","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W1995070803"],"abstract_inverted_index":{"X-ray":[0,28,99],"luminescence":[1],"computed":[2],"tomography":[3],"(XLCT),":[4],"which":[5],"aims":[6],"to":[7,59,79,113,127,147,160,175],"achieve":[8,114],"molecular":[9],"and":[10,33,41,44,188],"functional":[11,40],"imaging":[12,22],"by":[13],"X-rays,":[14],"has":[15],"recently":[16],"been":[17],"proposed":[18],"as":[19,203],"a":[20,49,70,92,123,137,180],"new":[21],"modality.":[23],"Combining":[24],"the":[25,61,83,104,129,149,164,177,193,199],"principles":[26],"of":[27,30,52,65,82,87,151,185],"excitation":[29],"luminescence-based":[31],"probes":[32],"optical":[34],"signal":[35],"detection,":[36],"XLCT":[37,73,101],"naturally":[38],"fuses":[39],"anatomical":[42],"images":[43],"provides":[45],"complementary":[46],"information":[47],"for":[48,100],"wide":[50],"range":[51],"applications":[53],"in":[54,95,131],"biomedical":[55],"research.":[56],"In":[57,118],"order":[58],"improve":[60],"data":[62],"acquisition":[63],"efficiency":[64],"previously":[66],"developed":[67],"narrow-beam":[68],"XLCT,":[69],"cone":[71,88,97],"beam":[72,89,98],"(CB-XLCT)":[74],"mode":[75],"is":[76,102,108,157,173],"adopted":[77,174],"here":[78,107],"take":[80],"advantage":[81],"useful":[84],"geometric":[85],"features":[86],"excitation.":[90],"Practically,":[91],"major":[93],"hurdle":[94],"using":[96],"that":[103,192],"inverse":[105],"problem":[106],"seriously":[109],"ill-conditioned,":[110],"hindering":[111],"us":[112],"good":[115],"image":[116,178,201],"quality.":[117],"this":[119],"paper,":[120],"we":[121],"propose":[122],"novel":[124],"Bayesian":[125,195],"method":[126,135,196],"tackle":[128],"bottleneck":[130],"CB-XLCT":[132,200],"reconstruction.":[133],"The":[134],"utilizes":[136],"local":[138],"regularization":[139],"strategy":[140],"based":[141],"on":[142],"Gaussian":[143],"Markov":[144],"random":[145],"field":[146],"mitigate":[148],"ill-conditioness":[150],"CB-XLCT.":[152],"An":[153],"alternating":[154],"optimization":[155],"scheme":[156],"then":[158],"used":[159],"automatically":[161],"calculate":[162],"all":[163],"unknown":[165],"hyperparameters":[166],"while":[167],"an":[168],"iterative":[169],"coordinate":[170],"descent":[171],"algorithm":[172],"reconstruct":[176],"with":[179,205],"voxel-based":[181],"closed-form":[182],"solution.":[183],"Results":[184],"numerical":[186],"simulations":[187],"mouse":[189],"experiments":[190],"show":[191],"self-adaptive":[194],"significantly":[197],"improves":[198],"quality":[202],"compared":[204],"conventional":[206],"methods.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-09-16T00:00:00"}
