{"id":"https://openalex.org/W2014351445","doi":"https://doi.org/10.1109/tmi.2014.2343916","title":"PET Image Reconstruction Using Kernel Method","display_name":"PET Image Reconstruction Using Kernel Method","publication_year":2014,"publication_date":"2014-07-30","ids":{"openalex":"https://openalex.org/W2014351445","doi":"https://doi.org/10.1109/tmi.2014.2343916","mag":"2014351445","pmid":"https://pubmed.ncbi.nlm.nih.gov/25095249"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2014.2343916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2343916","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://escholarship.org/content/qt6x3476zf/qt6x3476zf.pdf?t=rufnbw","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057150859","display_name":"Guobao Wang","orcid":"https://orcid.org/0000-0001-6526-1533"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guobao Wang","raw_affiliation_strings":["Department of Biomedical Engineering, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010514255","display_name":"Jinyi Qi","orcid":"https://orcid.org/0000-0002-5428-0322"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyi Qi","raw_affiliation_strings":["Department of Biomedical Engineering, University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":6.9602,"has_fulltext":true,"cited_by_count":244,"citation_normalized_percentile":{"value":0.97303933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":"1","first_page":"61","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","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/T10522","display_name":"Medical Imaging Techniques and Applications","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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6951513290405273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6012028455734253},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5887198448181152},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.47877442836761475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47573137283325195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4674592614173889},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4636209309101105},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4429118037223816},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4376920461654663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4312905967235565},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4221177101135254},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42195186018943787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39536669850349426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2762664556503296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27475178241729736},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25130823254585266},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15228736400604248},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.13496741652488708}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6951513290405273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6012028455734253},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5887198448181152},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.47877442836761475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47573137283325195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4674592614173889},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4636209309101105},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4429118037223816},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4376920461654663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4312905967235565},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4221177101135254},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42195186018943787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39536669850349426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2762664556503296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27475178241729736},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25130823254585266},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15228736400604248},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.13496741652488708},{"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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","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":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2014.2343916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2343916","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:25095249","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25095249","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:escholarship.org:ark:/13030/qt6x3476zf","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/6x3476zf","pdf_url":"https://escholarship.org/content/qt6x3476zf/qt6x3476zf.pdf?t=rufnbw","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, vol 34, iss 1","raw_type":"article"},{"id":"pmh:ark:/13030/qt6x3476zf","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4280333","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4280333","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:escholarship.org:ark:/13030/qt6x3476zf","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/6x3476zf","pdf_url":"https://escholarship.org/content/qt6x3476zf/qt6x3476zf.pdf?t=rufnbw","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, vol 34, iss 1","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7213535819","display_name":null,"funder_award_id":"R01 EB000194","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8875641472","display_name":null,"funder_award_id":"R01 EB000194","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2014351445.pdf","grobid_xml":"https://content.openalex.org/works/W2014351445.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W129782027","https://openalex.org/W1501672475","https://openalex.org/W1647554959","https://openalex.org/W1673090216","https://openalex.org/W1892054959","https://openalex.org/W1965188539","https://openalex.org/W1987794674","https://openalex.org/W2005277084","https://openalex.org/W2019248995","https://openalex.org/W2021594562","https://openalex.org/W2024668293","https://openalex.org/W2025968223","https://openalex.org/W2032904957","https://openalex.org/W2036088392","https://openalex.org/W2037922117","https://openalex.org/W2045112400","https://openalex.org/W2064208986","https://openalex.org/W2068100966","https://openalex.org/W2069629287","https://openalex.org/W2073582281","https://openalex.org/W2073852696","https://openalex.org/W2089050201","https://openalex.org/W2095354186","https://openalex.org/W2095865158","https://openalex.org/W2103559027","https://openalex.org/W2107825169","https://openalex.org/W2116198402","https://openalex.org/W2116670064","https://openalex.org/W2131867082","https://openalex.org/W2133257322","https://openalex.org/W2135054999","https://openalex.org/W2135850504","https://openalex.org/W2136396015","https://openalex.org/W2141528999","https://openalex.org/W2142587291","https://openalex.org/W2148956829","https://openalex.org/W2149400409","https://openalex.org/W2150289298","https://openalex.org/W2151235197","https://openalex.org/W2152693305","https://openalex.org/W2152788151","https://openalex.org/W2154744699","https://openalex.org/W2156612134","https://openalex.org/W2156994346","https://openalex.org/W2165830279","https://openalex.org/W2168029744","https://openalex.org/W2168933312","https://openalex.org/W2533373484","https://openalex.org/W2541070966","https://openalex.org/W2542168857","https://openalex.org/W2543859967","https://openalex.org/W3101749733","https://openalex.org/W6605300075","https://openalex.org/W6636952455","https://openalex.org/W6676425027","https://openalex.org/W6680865563","https://openalex.org/W6729058809"],"related_works":["https://openalex.org/W2006843870","https://openalex.org/W1602455006","https://openalex.org/W2951714568","https://openalex.org/W1988158806","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W2507293823","https://openalex.org/W2128367053","https://openalex.org/W2386146599","https://openalex.org/W2018015402"],"abstract_inverted_index":{"Image":[0],"reconstruction":[1,126],"from":[2,59],"low-count":[3,156],"positron":[4],"emission":[5],"tomography":[6],"(PET)":[7],"projection":[8,74],"data":[9,75],"is":[10,16,66,97,146],"challenging":[11],"because":[12],"the":[13,29,69,77,84,101,108,128,143,160],"inverse":[14],"problem":[15],"ill-posed.":[17],"Prior":[18],"information":[19],"can":[20,79,111],"be":[21,80],"used":[22],"to":[23,99,148,164],"improve":[24],"image":[25,45,64,91,125,153],"quality.":[26],"Inspired":[27],"by":[28,83],"kernel":[30,39,144,162],"methods":[31],"in":[32,47],"machine":[33],"learning,":[34],"this":[35],"paper":[36],"proposes":[37],"a":[38,51,54,165],"based":[40],"method":[41,132,145,163],"that":[42,107],"models":[43],"PET":[44,73,124,168],"intensity":[46],"each":[48],"pixel":[49],"as":[50],"function":[52],"of":[53,56,72,159],"set":[55],"features":[57],"obtained":[58],"prior":[60],"information.":[61],"The":[62],"kernel-based":[63],"model":[65,71],"incorporated":[67],"into":[68],"forward":[70],"and":[76,118,134,150],"coefficients":[78],"readily":[81],"estimated":[82],"maximum":[85,130],"likelihood":[86,90,131],"(ML)":[87],"or":[88],"penalized":[89],"reconstruction.":[92],"A":[93],"kernelized":[94],"expectation-maximization":[95],"algorithm":[96],"presented":[98],"obtain":[100],"ML":[102],"estimate.":[103],"Computer":[104],"simulations":[105],"show":[106],"proposed":[109,161],"approach":[110],"achieve":[112],"better":[113,152],"bias":[114],"versus":[115],"variance":[116],"trade-off":[117],"higher":[119],"contrast":[120],"recovery":[121],"for":[122,155],"dynamic":[123,167],"than":[127],"conventional":[129],"with":[133,139],"without":[135],"post-reconstruction":[136],"denoising.":[137],"Compared":[138],"other":[140],"regularization-based":[141],"methods,":[142],"easier":[147],"implement":[149],"provides":[151],"quality":[154],"data.":[157],"Application":[158],"4-D":[166],"patient":[169],"dataset":[170],"showed":[171],"promising":[172],"results.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}