{"id":"https://openalex.org/W3132535486","doi":"https://doi.org/10.1117/12.2581703","title":"Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors","display_name":"Machine learned approach for estimating myocardial blood flow from dynamic CT and coronary artery disease risk factors","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3132535486","doi":"https://doi.org/10.1117/12.2581703","mag":"3132535486"},"language":"en","primary_location":{"id":"doi:10.1117/12.2581703","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013483027","display_name":"Ethan Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ethan Tu","raw_affiliation_strings":["Michigan State Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State Univ. (United States)","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023444774","display_name":"Muneeza Azmat","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muneeza Azmat","raw_affiliation_strings":["Michigan State Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State Univ. (United States)","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001064258","display_name":"Kelley R. Branch","orcid":"https://orcid.org/0000-0003-2362-6498"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kelley R. Branch","raw_affiliation_strings":["Univ. of Washington (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Washington (United States)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077835961","display_name":"Adam Alessio","orcid":"https://orcid.org/0000-0003-3371-8580"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Alessio","raw_affiliation_strings":["Michigan State Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State Univ. (United States)","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02414286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9998999834060669,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994999766349792,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/mean-squared-error","display_name":"Mean squared error","score":0.5823258757591248},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.5812889337539673},{"id":"https://openalex.org/keywords/blood-flow","display_name":"Blood flow","score":0.5637509226799011},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.5336011052131653},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4917815029621124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47681042551994324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3716837167739868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33922797441482544},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2995760440826416},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.27941375970840454},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2518575191497803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24257323145866394},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.2234272062778473}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5823258757591248},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.5812889337539673},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.5637509226799011},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.5336011052131653},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4917815029621124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47681042551994324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3716837167739868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33922797441482544},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2995760440826416},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.27941375970840454},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2518575191497803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24257323145866394},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.2234272062778473},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2581703","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W1965747368","https://openalex.org/W2626189183","https://openalex.org/W4246793367","https://openalex.org/W2075388011","https://openalex.org/W3147584709","https://openalex.org/W2074037842","https://openalex.org/W3023645862"],"abstract_inverted_index":{"Estimating":[0],"myocardial":[1,12,124],"blood":[2],"flow":[3,81],"(MBF)":[4],"is":[5,19],"essential":[6],"for":[7,23,84,96,123],"diagnosing":[8],"and":[9,43,93,115,118],"risk":[10,78],"stratifying":[11],"ischemia.":[13,125],"Currently,":[14],"positron":[15],"emission":[16],"tomography":[17],"(PET)":[18],"a":[20,57],"gold":[21],"standard":[22],"non-invasive,":[24],"quantitative":[25],"MBF":[26,37,47,110],"measurements.":[27],"In":[28],"this":[29],"work,":[30],"we":[31],"compare":[32],"our":[33,104],"machine":[34,105],"learning":[35,106],"derived":[36,41,46],"estimates":[38,117],"to":[39,112],"PET":[40,116],"estimates,":[42],"2-compartmental":[44],"model":[45,52,69],"estimates.":[48],"Our":[49],"best":[50],"performing":[51],"(ensemble":[53],"regression":[54],"tree)":[55],"had":[56],"root":[58],"mean":[59],"squared":[60],"error":[61],"(RMSE)":[62],"of":[63,73],"0.47":[64],"ml/min/g.":[65,75],"Comparatively,":[66],"the":[67],"compartmental":[68],"achieved":[70],"an":[71],"RMSE":[72],"0.80":[74],"Including":[76],"CAD":[77],"factors":[79],"improved":[80],"estimation":[82],"accuracy":[83,95],"models":[85,97],"that":[86,98],"trained":[87,99],"on":[88,100],"feature":[89],"selected":[90],"TAC":[91],"data":[92],"worsened":[94],"PCA":[101],"data.":[102],"Overall,":[103],"approach":[107],"produces":[108],"comparable":[109],"estimations":[111],"verified":[113],"DCE-CT":[114],"can":[119],"provide":[120],"rapid":[121],"assessments":[122]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}