{"id":"https://openalex.org/W7214642847","doi":"https://doi.org/10.48550/arxiv.2609.30431","title":"PGDM-MRSRGAN: Physics-Guided Degradation Model with an SRGAN Framework for Magnetic Resonance Image Super-Resolution: Applications in Low-Field MRI","display_name":"PGDM-MRSRGAN: Physics-Guided Degradation Model with an SRGAN Framework for Magnetic Resonance Image Super-Resolution: Applications in Low-Field MRI","publication_year":2026,"publication_date":"2026-09-24","ids":{"openalex":"https://openalex.org/W7214642847","doi":"https://doi.org/10.48550/arxiv.2609.30431","pmid":"https://pubmed.ncbi.nlm.nih.gov/42819017","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13622994"},"language":"en","primary_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13622994","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/pdf/nihpp-2609.30431v1.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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ArXiv","raw_type":"Text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/pdf/nihpp-2609.30431v1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044993844","display_name":"Yashwant Kurmi","orcid":"https://orcid.org/0000-0003-4986-2106","observed_orcids":["https://orcid.org/0000-0003-4986-2106"]},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I901861585","display_name":"Vanderbilt University Medical Center","ror":"https://ror.org/05dq2gs74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210162197","https://openalex.org/I901861585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kurmi, Yashwant","raw_affiliation_strings":["Department of Radiology and Radiological Sciences , Vanderbilt University Medical Center , Nashville , US","Vanderbilt University Institute of Imaging Science , Vanderbilt University Medical Center , Nashville , US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Radiological Sciences , Vanderbilt University Medical Center , Nashville , US","institution_ids":["https://openalex.org/I901861585"]},{"raw_affiliation_string":"Vanderbilt University Institute of Imaging Science , Vanderbilt University Medical Center , Nashville , US","institution_ids":["https://openalex.org/I200719446","https://openalex.org/I901861585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042947829","display_name":"Charlotte R. Sappo","orcid":"https://orcid.org/0000-0002-7030-278X","observed_orcids":["https://orcid.org/0000-0002-7030-278X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sappo, Charlotte R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044504486","display_name":"Sai Abitha Srinivas","orcid":"https://orcid.org/0000-0003-3595-1757","observed_orcids":["https://orcid.org/0000-0003-3595-1757"]},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivas, Sai Abitha","raw_affiliation_strings":["Department of Biomedical Engineering , Case Western Reserve University , Clevland , OH , US,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering , Case Western Reserve University , Clevland , OH , US,","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153201923","display_name":"Selin D. Kandemir","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I901861585","display_name":"Vanderbilt University Medical Center","ror":"https://ror.org/05dq2gs74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210162197","https://openalex.org/I901861585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kandemir, Selin D.","raw_affiliation_strings":["Department of Biomedical Engineering , Vanderbilt University , Nashville , US","Vanderbilt University Institute of Imaging Science , Vanderbilt University Medical Center , Nashville , US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering , Vanderbilt University , Nashville , US","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt University Institute of Imaging Science , Vanderbilt University Medical Center , Nashville , US","institution_ids":["https://openalex.org/I200719446","https://openalex.org/I901861585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053825219","display_name":"Malvika Viswanathan","orcid":"https://orcid.org/0009-0001-9522-0780","observed_orcids":["https://orcid.org/0009-0001-9522-0780"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viswanathan, Malvika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031649616","display_name":"\u4fce\u4e2d\u826f","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zu, Zhongliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9872999787330627,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9872999787330627,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.007499999832361937,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0019000000320374966,"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/super-resolution-mri","display_name":"MRI super-resolution","score":0.9559999704360962},{"id":"https://openalex.org/keywords/low-field-mri","display_name":"low-field MRI","score":0.8700000047683716},{"id":"https://openalex.org/keywords/srgan","display_name":"SRGAN","score":0.7540000081062317},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.8769999742507935},{"id":"https://openalex.org/keywords/b0-inhomogeneity","display_name":"B0 field inhomogeneity","score":0.8259999752044678},{"id":"https://openalex.org/keywords/chemical-shift-artifacts","display_name":"chemical shift artifact","score":0.8069999814033508},{"id":"https://openalex.org/keywords/spectral-angle-mapper","display_name":"spectral angle mapper","score":0.5559999942779541},{"id":"https://openalex.org/keywords/signal-to-noise-ratio-improvement","display_name":"signal-to-noise ratio improvement","score":0.7559999823570251}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7190999984741211},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5906999707221985},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5756000280380249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507000088691711},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5453000068664551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5023000240325928},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.35760000348091125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.289900004863739},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2867000102996826},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:pubmedcentral.nih.gov:13622994","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/pdf/nihpp-2609.30431v1.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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ArXiv","raw_type":"Text"},{"id":"pmid:42819017","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42819017","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,"listed_in":[],"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":"ArXiv","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2609.30431","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.30431","pdf_url":"https://arxiv.org/pdf/2609.30431","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.30431","doi":"https://doi.org/10.48550/arxiv.2609.30431","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.30431","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13622994","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13622994/pdf/nihpp-2609.30431v1.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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ArXiv","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5683000087738037,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G7366480607","display_name":"Nuclear Overhauser enhancement (NOE) MR imaging of choline phospholipids and their metabolism","funder_award_id":"R01EB029443","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214642847.pdf","grobid_xml":"https://content.openalex.org/works/W7214642847.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1503182487","https://openalex.org/W1812490466","https://openalex.org/W1885185971","https://openalex.org/W1969292798","https://openalex.org/W1971395377","https://openalex.org/W2006096283","https://openalex.org/W2021714185","https://openalex.org/W2049600766","https://openalex.org/W2050983595","https://openalex.org/W2088099825","https://openalex.org/W2102166818","https://openalex.org/W2134584543","https://openalex.org/W2144468361","https://openalex.org/W2154108863","https://openalex.org/W2161567984","https://openalex.org/W2186925649","https://openalex.org/W2463020799","https://openalex.org/W2766041123","https://openalex.org/W2778924750","https://openalex.org/W2922097551","https://openalex.org/W2995290378","https://openalex.org/W3069245681","https://openalex.org/W3101204238","https://openalex.org/W3110229364","https://openalex.org/W3182036011","https://openalex.org/W3197231360","https://openalex.org/W3197556100","https://openalex.org/W4295907703","https://openalex.org/W4296268709","https://openalex.org/W4306410933","https://openalex.org/W4320148474","https://openalex.org/W4362488871","https://openalex.org/W4376133665","https://openalex.org/W4388818696","https://openalex.org/W4397024364","https://openalex.org/W4403660044","https://openalex.org/W4415821201","https://openalex.org/W4415835045","https://openalex.org/W4416548347","https://openalex.org/W7124983470"],"related_works":["https://openalex.org/W7208793009","https://openalex.org/W7161170561","https://openalex.org/W4205576145","https://openalex.org/W4403601389","https://openalex.org/W4412730958","https://openalex.org/W4411028364","https://openalex.org/W3010763949","https://openalex.org/W2978392370","https://openalex.org/W7161395370","https://openalex.org/W4397002484"],"abstract_inverted_index":{"Purpose:":[0],"Magnetic":[1,40],"Resonance":[2,41],"Imaging":[3,44],"(MRI)":[4],"often":[5],"suffers":[6],"from":[7],"low":[8],"signal-to-noise":[9,146],"ratio":[10,147],"(SNR)":[11],"and":[12,34,83,90,95,112,127,157,170,198,204],"limited":[13],"spatial":[14,140,196],"resolution,":[15,141],"which":[16],"compromise":[17],"clinical":[18],"precision.":[19],"This":[20],"study":[21],"aims":[22],"to":[23,85,124,213],"address":[24],"these":[25],"challenges":[26],"by":[27,71,182],"developing":[28],"a":[29,35,62,102,188],"physics-guided":[30,63],"degradation":[31,64,185],"model":[32,65],"(PGDM)":[33],"novel":[36],"deep":[37],"learning":[38],"framework,":[39,180],"Super-Resolution":[42],"GAN":[43],"(MRSRGAN),":[45],"for":[46,216],"improved":[47,144],"super-resolution":[48],"reconstruction":[49,99],"of":[50,58,120],"MRI":[51,69,175,192,208],"images.":[52,129],"Method:":[53],"The":[54,178],"proposed":[55,136],"approach":[56],"consists":[57],"two":[59],"stages:":[60],"(1)":[61],"that":[66,134],"simulates":[67],"low-field":[68],"conditions":[70],"incorporating":[72],"artifacts":[73,169],"such":[74],"as":[75],"blur,":[76],"B0":[77],"inhomogeneity,":[78],"chemical":[79],"shift":[80],"effects,":[81],"down-sampling,":[82],"noise":[84],"generate":[86],"paired":[87],"low-resolution":[88],"(LR)":[89],"high-resolution":[91,128],"(HR)":[92],"training":[93],"datasets;":[94],"(2)":[96],"an":[97],"MRSRGAN-based":[98],"network":[100],"utilizing":[101],"hybrid":[103],"loss":[104],"function,":[105],"including":[106],"modified":[107],"spectral":[108],"angle":[109],"mapper":[110],"(MSAM)":[111],"sharpened":[113],"ground":[114],"truth":[115],"images":[116],"based":[117],"on":[118,173,206],"de-convolution":[119],"slice":[121],"profile-based":[122],"kernels":[123],"restore":[125],"high-SNR":[126],"Results:":[130],"Experimental":[131],"validation":[132],"demonstrates":[133,171],"the":[135,183],"method":[137],"achieves":[138],"superior":[139],"enhanced":[142],"SNR,":[143],"peak":[145],"(PSNR),":[148],"higher":[149],"structural":[150],"similarity":[151],"index":[152],"(SSIM),":[153],"reduced":[154],"MSAM":[155],"error,":[156],"better":[158],"non-reference":[159],"image":[160,193],"quality":[161],"evaluation":[162],"(NIQE)":[163],"metrics.":[164],"Furthermore,":[165],"it":[166],"effectively":[167],"reduces":[168],"robustness":[172,203],"real":[174,207],"datasets.":[176],"Conclusion:":[177],"MRSRGAN":[179],"guided":[181],"physics-informed":[184],"model,":[186],"provides":[187],"significant":[189],"improvement":[190],"in":[191],"quality,":[194],"enhancing":[195],"resolution":[197,214],"diagnostic":[199,218],"accuracy.":[200],"Its":[201],"demonstrated":[202],"effectiveness":[205],"datasets":[209],"highlight":[210],"its":[211],"potential":[212],"enhancement":[215],"precise":[217],"imaging.":[219]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-29T00:00:00"}