{"id":"https://openalex.org/W2941049025","doi":"https://doi.org/10.1109/tmi.2019.2912222","title":"Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography","display_name":"Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2941049025","doi":"https://doi.org/10.1109/tmi.2019.2912222","mag":"2941049025","pmid":"https://pubmed.ncbi.nlm.nih.gov/31021763"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2019.2912222","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2912222","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/8915869/08695042.pdf","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":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/42/8915869/08695042.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041033273","display_name":"Hui Meng","orcid":"https://orcid.org/0000-0003-4061-2100"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Meng","raw_affiliation_strings":["CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366717","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0003-2513-768X"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Beijing Key Laboratory of Molecular Imaging, Beijing, China","CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2513-768X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Molecular Imaging, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112601665","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0003-4535-2977"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4535-2977","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071847618","display_name":"Yushen Jin","orcid":"https://orcid.org/0000-0002-6724-0549"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushen Jin","raw_affiliation_strings":["Beijing Key Laboratory of Molecular Imaging, Beijing, China","CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Molecular Imaging, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015031495","display_name":"Xibo Ma","orcid":"https://orcid.org/0000-0001-9689-0017"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibo Ma","raw_affiliation_strings":["Beijing Key Laboratory of Molecular Imaging, Beijing, China","CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Molecular Imaging, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429270","display_name":"Jie Tian","orcid":"https://orcid.org/0000-0003-0498-0432"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tian","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","Beijing Key Laboratory of Molecular Imaging, Beijing, China","CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0498-0432","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Key Laboratory of Molecular Imaging, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8664,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.93665085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"38","issue":"12","first_page":"2726","last_page":"2734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9919999837875366,"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/gaussian","display_name":"Gaussian","score":0.6238805055618286},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5772284269332886},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5367113351821899},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5292636156082153},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.503755509853363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49813365936279297},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.49466344714164734},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.47018444538116455},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4584594964981079},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45096850395202637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43693429231643677},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.4276649057865143},{"id":"https://openalex.org/keywords/inverse-laplace-transform","display_name":"Inverse Laplace transform","score":0.4230252504348755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3571319282054901},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3403434455394745},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.294272780418396},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26930761337280273},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12480318546295166},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12020048499107361}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6238805055618286},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5772284269332886},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5367113351821899},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5292636156082153},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.503755509853363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49813365936279297},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.49466344714164734},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.47018444538116455},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4584594964981079},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45096850395202637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43693429231643677},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.4276649057865143},{"id":"https://openalex.org/C60455284","wikidata":"https://www.wikidata.org/wiki/Q2162701","display_name":"Inverse Laplace transform","level":3,"score":0.4230252504348755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3571319282054901},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3403434455394745},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.294272780418396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26930761337280273},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12480318546295166},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12020048499107361},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D008807","descriptor_name":"Mice, Inbred BALB C","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008807","descriptor_name":"Mice, Inbred BALB C","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008807","descriptor_name":"Mice, Inbred BALB C","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","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":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D041622","descriptor_name":"Tomography, Optical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D041622","descriptor_name":"Tomography, Optical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D041622","descriptor_name":"Tomography, Optical","qualifier_ui":"Q000379","qualifier_name":"methods","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2019.2912222","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2912222","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/8915869/08695042.pdf","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:31021763","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31021763","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}],"best_oa_location":{"id":"doi:10.1109/tmi.2019.2912222","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2912222","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/8915869/08695042.pdf","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2364600650","display_name":null,"funder_award_id":"2016YFA0100902","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2476964167","display_name":null,"funder_award_id":"81227901","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2894257020","display_name":null,"funder_award_id":"2016YFA0100902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3149916818","display_name":null,"funder_award_id":"QYZDJ-SSW-JSC005","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4076610970","display_name":null,"funder_award_id":"81227901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4748108124","display_name":null,"funder_award_id":"81527805","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5104315111","display_name":null,"funder_award_id":"YJKYYQ20180048","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5180630892","display_name":null,"funder_award_id":"QYZDJ-SSW-JSC005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5453165698","display_name":null,"funder_award_id":"2017YFA0205200","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5577442718","display_name":null,"funder_award_id":"GJJSTD20170004","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G566861090","display_name":null,"funder_award_id":"2017YFA0205200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6029382178","display_name":null,"funder_award_id":"2016YFA0100902","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G6770124466","display_name":null,"funder_award_id":"81471739","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6837953518","display_name":null,"funder_award_id":"81527805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7274379686","display_name":null,"funder_award_id":"2017YFA0205200","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G7320983437","display_name":"\u5916\u6e90\u6027\u4e0e\u5185\u6e90\u6027\u5149\u5b66\u4e09\u7ef4\u65ad\u5c42\u6210\u50cf\u878d\u5408\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8429517004","display_name":null,"funder_award_id":"KFJ-STS-ZDTP-059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8680945403","display_name":null,"funder_award_id":"JSC005","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8959576397","display_name":null,"funder_award_id":"81471739","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G906913271","display_name":null,"funder_award_id":"KFJ-STS-ZDTP-059","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941049025.pdf","grobid_xml":"https://content.openalex.org/works/W2941049025.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1247495456","https://openalex.org/W1553198783","https://openalex.org/W1715571057","https://openalex.org/W1966687379","https://openalex.org/W1971850777","https://openalex.org/W1972601079","https://openalex.org/W1976446328","https://openalex.org/W1989048657","https://openalex.org/W1991321370","https://openalex.org/W1991364110","https://openalex.org/W2012231377","https://openalex.org/W2017062848","https://openalex.org/W2017096549","https://openalex.org/W2022211302","https://openalex.org/W2034432063","https://openalex.org/W2049815086","https://openalex.org/W2060600570","https://openalex.org/W2062958693","https://openalex.org/W2066904044","https://openalex.org/W2073362522","https://openalex.org/W2096531972","https://openalex.org/W2097683070","https://openalex.org/W2103233393","https://openalex.org/W2106030748","https://openalex.org/W2106739895","https://openalex.org/W2126502385","https://openalex.org/W2132074652","https://openalex.org/W2146719678","https://openalex.org/W2178002579","https://openalex.org/W2263229707","https://openalex.org/W2286844139","https://openalex.org/W2399502686","https://openalex.org/W2546015864","https://openalex.org/W2586361217","https://openalex.org/W2610794008","https://openalex.org/W2742434802","https://openalex.org/W2766459993","https://openalex.org/W2797881856"],"related_works":["https://openalex.org/W3022275705","https://openalex.org/W1996624184","https://openalex.org/W2328813089","https://openalex.org/W3023736802","https://openalex.org/W3021788336","https://openalex.org/W2504967562","https://openalex.org/W2260908168","https://openalex.org/W3148077626","https://openalex.org/W3116142293","https://openalex.org/W4309989447"],"abstract_inverted_index":{"Fluorescence":[0],"molecular":[1],"tomography":[2],"(FMT),":[3],"as":[4],"a":[5,64,86],"powerful":[6],"imaging":[7,153],"technique":[8],"in":[9,106,121,151,172,189],"preclinical":[10],"research,":[11,61],"can":[12,49],"offer":[13],"the":[14,21,29,34,56,76,110,113,166],"three-dimensional":[15],"distribution":[16],"of":[17,28,36,55,78,112,159,178,192],"biomarkers":[18],"by":[19],"detecting":[20],"fluorescently":[22],"labelled":[23],"probe":[24],"noninvasively.":[25],"However,":[26],"because":[27],"light":[30],"scattering":[31],"effect":[32],"and":[33,53,120,141,175,186],"ill-pose":[35],"inverse":[37],"problem,":[38],"it":[39],"is":[40],"challenging":[41],"to":[42,101],"develop":[43],"an":[44,95],"efficient":[45],"reconstruction":[46],"method,":[47,73,115,134,140],"which":[48,74],"provide":[50],"accurate":[51,103],"location":[52,174],"morphology":[54],"fluorescence":[57,79,157,179],"distribution.":[58,180],"In":[59],"this":[60],"we":[62,116],"proposed":[63],"novel":[65],"adaptive":[66,96],"Gaussian":[67,91,97,142],"weighted":[68,143],"Laplace":[69,144],"prior":[70,145],"(AGWLP)":[71],"regularization":[72,139,147],"assumed":[75],"variance":[77],"intensity":[80],"between":[81],"any":[82],"two":[83],"voxels":[84],"had":[85],"non-linear":[87],"correlation":[88],"with":[89,128],"their":[90],"distance.":[92],"It":[93],"utilized":[94],"kernel":[98],"parameter":[99],"strategy":[100],"achieve":[102],"morphological":[104],"reconstructions":[105],"FMT.":[107],"To":[108],"evaluate":[109],"performance":[111,171],"AGWLP":[114,167],"conducted":[117],"numerical":[118],"simulation":[119],"vivo":[122,152,190],"experiments.":[123],"The":[124,162],"results":[125,154,163],"were":[126],"compared":[127],"fast":[129],"iterative":[130],"shrinkage":[131],"(FIS)":[132],"thresholding":[133],"split":[135],"Bregman-resolved":[136],"TV":[137],"(SBRTV)":[138],"(GWLP)":[146],"method.":[148],"We":[149],"validated":[150],"against":[155],"planar":[156],"images":[158],"frozen":[160],"sections.":[161],"demonstrated":[164],"that":[165],"method":[168],"achieved":[169],"superior":[170],"both":[173],"shape":[176],"recovery":[177],"This":[181],"enabled":[182],"FMT":[183],"more":[184],"suitable":[185],"practical":[187],"for":[188],"visualization":[191],"biomarkers.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
