{"id":"https://openalex.org/W4393393699","doi":"https://doi.org/10.1117/12.3006519","title":"A CT system-free approach for brain perfusion assessment: temporal perfusion index estimation","display_name":"A CT system-free approach for brain perfusion assessment: temporal perfusion index estimation","publication_year":2024,"publication_date":"2024-04-01","ids":{"openalex":"https://openalex.org/W4393393699","doi":"https://doi.org/10.1117/12.3006519"},"language":"en","primary_location":{"id":"doi:10.1117/12.3006519","doi":"https://doi.org/10.1117/12.3006519","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3006519","pdf_url":null,"source":{"id":"https://openalex.org/S4363606018","display_name":"SPIE Medical Imaging: Physics of Medical Imaging","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2024: Physics of Medical Imaging","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5102993833","display_name":"Shalini Subramanian","orcid":"https://orcid.org/0000-0001-7687-4853","observed_orcids":["https://orcid.org/0000-0001-7687-4853"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shalini Subramanian","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046139669","display_name":"W. Paul Segars","orcid":"https://orcid.org/0000-0003-3687-5733","observed_orcids":["https://orcid.org/0000-0003-3687-5733"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul W. Segars","raw_affiliation_strings":["Duke Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke Univ. (United States)","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013499153","display_name":"Ting\u2010Yim Lee","orcid":"https://orcid.org/0000-0001-7605-9752","observed_orcids":["https://orcid.org/0000-0001-7605-9752"]},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I131944076","display_name":"Lawson Health Research Institute","ror":"https://ror.org/051gsh239","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I131944076"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ting-Yim Lee","raw_affiliation_strings":["Lawson Health Research Institute (Canada)","Univ. of Western Ontario (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawson Health Research Institute (Canada)","institution_ids":["https://openalex.org/I131944076"]},{"raw_affiliation_string":"Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061316720","display_name":"Andreia Vasconcellos Faria","orcid":"https://orcid.org/0000-0002-1673-002X","observed_orcids":["https://orcid.org/0000-0002-1673-002X"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreia V. Faria","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021188605","display_name":"Dong Hyeon Lee","orcid":"https://orcid.org/0000-0003-0511-6910","observed_orcids":["https://orcid.org/0000-0003-0511-6910"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donghyeon Lee","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087095414","display_name":"Mathias Unberath","orcid":"https://orcid.org/0000-0002-0055-9950","observed_orcids":["https://orcid.org/0000-0002-0055-9950"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mathias Unberath","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020030902","display_name":"Katsuyuki Taguchi","orcid":"https://orcid.org/0000-0002-3437-2107","observed_orcids":["https://orcid.org/0000-0002-3437-2107"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katsuyuki Taguchi","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0793,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95368655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.31470000743865967,"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":0.31470000743865967,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.2037000060081482,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.15809999406337738,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cerebral-perfusion","display_name":"cerebral perfusion","score":0.8870000243186951},{"id":"https://openalex.org/keywords/x-ray-angiography","display_name":"X-ray angiography","score":0.8389999866485596},{"id":"https://openalex.org/keywords/time-to-maximum","display_name":"time to maximum","score":0.8199999928474426},{"id":"https://openalex.org/keywords/mean-transit-time","display_name":"mean transit time","score":0.9990000128746033},{"id":"https://openalex.org/keywords/ischemic-stroke","display_name":"ischemic stroke","score":0.847000002861023},{"id":"https://openalex.org/keywords/mechanical-thrombectomy","display_name":"mechanical thrombectomy","score":0.9679999947547913},{"id":"https://openalex.org/keywords/ct-perfusion","display_name":"CT perfusion","score":0.4749999940395355},{"id":"https://openalex.org/keywords/xcat-phantom","display_name":"XCAT phantom","score":0.5879999995231628}],"concepts":[{"id":"https://openalex.org/C146957229","wikidata":"https://www.wikidata.org/wiki/Q1266915","display_name":"Perfusion","level":2,"score":0.7320722937583923},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.6280354261398315},{"id":"https://openalex.org/C176379880","wikidata":"https://www.wikidata.org/wiki/Q18031939","display_name":"TEC","level":3,"score":0.6210856437683105},{"id":"https://openalex.org/C135691158","wikidata":"https://www.wikidata.org/wiki/Q7168308","display_name":"Perfusion scanning","level":3,"score":0.6143142580986023},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46429237723350525},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.44878458976745605},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.43484821915626526},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43462368845939636},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43175172805786133},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.426788866519928},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.41114872694015503},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.37737932801246643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36221736669540405},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.31852883100509644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2858825922012329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19615092873573303},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15151962637901306},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13133883476257324},{"id":"https://openalex.org/C116403925","wikidata":"https://www.wikidata.org/wiki/Q162219","display_name":"Ionosphere","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3006519","doi":"https://doi.org/10.1117/12.3006519","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3006519","pdf_url":null,"source":{"id":"https://openalex.org/S4363606018","display_name":"SPIE Medical Imaging: Physics of Medical Imaging","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2024: Physics of Medical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8371999859809875,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2049152314","https://openalex.org/W4226247843","https://openalex.org/W4242105872","https://openalex.org/W4243588327","https://openalex.org/W4249662237"],"related_works":["https://openalex.org/W4389667432","https://openalex.org/W7124130682","https://openalex.org/W7148326507","https://openalex.org/W2412604334","https://openalex.org/W3091106326","https://openalex.org/W2065096326","https://openalex.org/W2042395977","https://openalex.org/W2539769175","https://openalex.org/W4410315754","https://openalex.org/W4409261371"],"abstract_inverted_index":{"Real-time":[0],"brain":[1,95],"perfusion":[2,35,41,51,96,106],"would":[3],"be":[4,80],"highly":[5],"beneficial":[6],"to":[7,29,48,98,151,232,237,243],"fully":[8],"leverage":[9],"interventional":[10,60],"procedures":[11],"such":[12,156],"as":[13,157],"endovascular":[14],"thrombectomy":[15],"in":[16,58],"treating":[17],"ischemic":[18,128],"stroke.":[19],"However,":[20],"the":[21,30,59,69,112,169,176,186],"existing":[22],"standard":[23],"of":[24,32,71,76,92,136,168],"care":[25],"is":[26,63,97],"constrained":[27],"due":[28],"absence":[31],"intra-operative":[33],"real-time":[34],"imaging.":[36],"We":[37],"propose":[38],"an":[39],"intra-interventional":[40],"with":[42,199],"no":[43],"C-arm":[44],"rotation":[45],"(IPEN)-based":[46],"method":[47],"perform":[49],"quantitative":[50],"analysis":[52],"using":[53,65,82,119,175],"x-ray":[54,84],"angiography":[55],"(XA)":[56],"images":[57,141,147],"suite.":[61],"IPEN":[62,93,148],"built":[64],"tomographic":[66],"principles,":[67],"where":[68],"value":[70],"N":[72,83],"homogeneous":[73],"regions-of-interests":[74],"(ROI)":[75],"known":[77],"shape":[78],"can":[79],"estimated":[81,170,192],"beams":[85],"from":[86],"a":[87],"single":[88],"projection.":[89],"The":[90,114,166,191,203,223],"objective":[91],"for":[94,109,123,134,163,210,215,221,234,239,245],"provide":[99],"dynamic":[100,124],"time-enhancement":[101],"curve":[102],"(TEC)":[103],"and":[104,133,154,160,185,194,217,241],"temporal":[105],"indices":[107],"(PI\u2019s)":[108],"ROIs":[110,164],"within":[111],"brain.":[113],"proposed":[115],"algorithm":[116],"was":[117,149,172],"assessed":[118],"XCAT":[120],"phantoms":[121],"developed":[122],"CT":[125],"perfusion.":[126],"Eight":[127],"stroke":[129],"cases":[130,229],"were":[131,142,206],"simulated":[132],"each":[135],"them":[137],"intra-arterially":[138],"enhanced":[139],"XA":[140,146],"acquired.":[143],"Using":[144],"these":[145],"employed":[150],"estimate":[152],"TEC":[153],"PI":[155],"time-to-maximum":[158],"(Tmax)":[159],"mean-transit-time":[161],"(MTT)":[162],"defined.":[165],"accuracy":[167],"values":[171,205,225],"quantitatively":[173],"evaluated":[174],"normalized":[177],"root-mean-square":[178],"error":[179],"weighted":[180],"by":[181],"ROI\u2019s":[182],"fraction-by-volume":[183],"(NRMSE)":[184],"linear":[187],"correlation":[188],"coefficient":[189],"(R).":[190],"TEC,":[193,211,235],"PI\u2019s":[195],"showed":[196],"good":[197],"agreement":[198],"ground":[200],"truth":[201],"values.":[202],"NRMSE":[204],"15.5%":[207],"\u00b1":[208,213,219],"1.2%":[209],"14.5%":[212],"5.7%":[214],"Tmax,":[216,240],"12.2%":[218],"5.1%":[220],"MTT.":[222,246],"R":[224],"(P<0.01)":[226],"across":[227],"eight":[228],"ranged":[230],"0.82":[231],"0.95":[233],"0.70":[236],"0.99":[238],"0.67":[242],"0.96":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-21T09:56:26.102985","created_date":"2024-04-02T00:00:00"}
