{"id":"https://openalex.org/W4411725954","doi":"https://doi.org/10.1109/tbme.2025.3583943","title":"Multi-Probe Vector Velocity Estimation in Deep and Large Regions of Interest: A Simulation Study","display_name":"Multi-Probe Vector Velocity Estimation in Deep and Large Regions of Interest: A Simulation Study","publication_year":2025,"publication_date":"2025-06-27","ids":{"openalex":"https://openalex.org/W4411725954","doi":"https://doi.org/10.1109/tbme.2025.3583943","pmid":"https://pubmed.ncbi.nlm.nih.gov/40577291"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2025.3583943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3583943","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tbme.2025.3583943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052328900","display_name":"Daniele Mazierli","orcid":"https://orcid.org/0000-0002-7500-6840"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Mazierli","raw_affiliation_strings":["Department of Information Engineering, University of Florence, Florence, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7500-6840","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053452385","display_name":"Piero Tortoli","orcid":"https://orcid.org/0000-0002-7984-3128"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piero Tortoli","raw_affiliation_strings":["Department of Information Engineering, University of Florence, Florence, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7984-3128","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020926615","display_name":"Laura Peralta","orcid":"https://orcid.org/0000-0002-3753-5370"},"institutions":[{"id":"https://openalex.org/I1324925910","display_name":"St Thomas' Hospital","ror":"https://ror.org/054gk2851","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I1324925910","https://openalex.org/I200166805","https://openalex.org/I4210111135"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Laura Peralta","raw_affiliation_strings":["Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x0027;s College London, St Thomas&#x2019; Hospital, U.K","Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x0027;s College London, St Thomas&#x0027; Hospital, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3753-5370","affiliations":[{"raw_affiliation_string":"Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x0027;s College London, St Thomas&#x2019; Hospital, U.K","institution_ids":["https://openalex.org/I1324925910"]},{"raw_affiliation_string":"Department of Surgical and Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King&#x0027;s College London, St Thomas&#x0027; Hospital, London, U.K","institution_ids":["https://openalex.org/I1324925910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056069304","display_name":"Alessandro Ramalli","orcid":"https://orcid.org/0000-0003-4358-3739"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Ramalli","raw_affiliation_strings":["Department of Information Engineering, University of Florence, Florence, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4358-3739","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1966,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95813659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"73","issue":"1","first_page":"404","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.34869998693466187,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.34869998693466187,"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/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.14030000567436218,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.09380000084638596,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.6798613667488098},{"id":"https://openalex.org/keywords/vector-flow","display_name":"Vector flow","score":0.5116072297096252},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.44735607504844666},{"id":"https://openalex.org/keywords/flow-velocity","display_name":"Flow velocity","score":0.4160587191581726},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.40386438369750977},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.36513054370880127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3404853940010071},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3256751298904419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3028274476528168},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.23502421379089355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16506487131118774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12871059775352478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10625502467155457},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.10183155536651611}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6798613667488098},{"id":"https://openalex.org/C20749125","wikidata":"https://www.wikidata.org/wiki/Q7917826","display_name":"Vector flow","level":4,"score":0.5116072297096252},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.44735607504844666},{"id":"https://openalex.org/C166693061","wikidata":"https://www.wikidata.org/wiki/Q5462119","display_name":"Flow velocity","level":3,"score":0.4160587191581726},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.40386438369750977},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.36513054370880127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3404853940010071},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3256751298904419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3028274476528168},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.23502421379089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16506487131118774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12871059775352478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10625502467155457},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.10183155536651611}],"mesh":[{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001808","descriptor_name":"Blood Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001808","descriptor_name":"Blood Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001808","descriptor_name":"Blood Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018617","descriptor_name":"Ultrasonography, Doppler, Pulsed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018617","descriptor_name":"Ultrasonography, Doppler, Pulsed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018617","descriptor_name":"Ultrasonography, Doppler, Pulsed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tbme.2025.3583943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3583943","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:40577291","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40577291","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 bio-medical engineering","raw_type":null},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/90f7763c-4f45-4a89-a2ed-7dd26474c887","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/90f7763c-4f45-4a89-a2ed-7dd26474c887","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/362067111/accepted_preprint.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mazierli, D, Tortoli, P, Peralta, L & Ramalli, A 2026, 'Multi-probe Vector Velocity Estimation in Deep and Large Regions of Interest : a Simulation Study', IEEE Transactions on Biomedical Engineering, vol. 73, no. 1, pp. 404-416. https://doi.org/10.1109/TBME.2025.3583943","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:flore.unifi.it:2158/1436433","is_oa":true,"landing_page_url":"https://hdl.handle.net/2158/1436433","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tbme.2025.3583943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3583943","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4509062939","display_name":null,"funder_award_id":"URF/R1/211049","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2374546933","https://openalex.org/W4291017865","https://openalex.org/W1969477967","https://openalex.org/W2157760198","https://openalex.org/W4394763205","https://openalex.org/W4223440842","https://openalex.org/W2314992149","https://openalex.org/W2624884631","https://openalex.org/W2333290139","https://openalex.org/W2246385322"],"abstract_inverted_index":{"OBJECTIVE:":[0],"The":[1,77,96,138],"current":[2],"vector":[3,140],"velocity":[4,94,133,141,174,198],"measurement":[5],"techniques":[6],"are":[7,63,81,213],"typically":[8],"limited":[9],"by":[10],"probe":[11],"apertures,":[12],"which":[13],"restrict":[14],"their":[15],"use":[16,31],"to":[17,65,91,167],"superficial":[18],"vessels.":[19],"This":[20,157],"work":[21,159],"introduces":[22],"a":[23,43,67,75,86,187],"high":[24,152],"frame":[25],"rate":[26],"method":[27,44,193],"based":[28,111],"on":[29,112],"the":[30,93,132,169,192,201,211],"of":[32,50,58,70,131,183],"multiple":[33],"array":[34],"probes":[35,62],"transmitting":[36],"defocused":[37],"beams":[38],"and":[39,47,55,72,83,106,123,128,176,180,206],"shows":[40],"that":[41,161],"such":[42,209],"permits":[45],"accurate":[46],"precise":[48],"measurements":[49],"blood":[51],"velocities":[52],"in":[53,74,103,178,200],"deep":[54,179,207],"large":[56,181,205],"regions/volumes":[57],"interest.":[59,184],"METHODS:":[60],"Multiple":[61],"positioned":[64],"investigate":[66],"common":[68],"region":[69,203],"interest":[71],"activated":[73],"sequence.":[76],"corresponding":[78,139],"phase":[79],"shifts":[80],"estimated":[82],"combined":[84],"through":[85,109],"least":[87],"square":[88],"error":[89],"approach":[90],"derive":[92],"vector.":[95],"method's":[97],"performance":[98],"has":[99],"been":[100,136],"quantitatively":[101],"evaluated":[102],"both":[104],"2-D":[105,170],"3-D":[107,172],"scenarios":[108],"simulations":[110],"either":[113],"two":[114],"linear-":[115],"or":[116,146,171],"three":[117],"matrix":[118],"sparse-array":[119],"probes.":[120],"RESULTS:":[121],")":[122],"direction":[124],"(average":[125],"rmse(\u03b1)":[126],"2.3\u00b0":[127],"rmse(\u03b2)":[129],"8.0\u00b0)":[130],"vectors":[134],"have":[135],"obtained.":[137],"frames":[142],"cover":[143],"wide":[144],"areas":[145],"volumes":[147],"even":[148],"around":[149],"depths":[150],"as":[151,153,210],"80":[154],"mm.":[155],"CONCLUSIONS:":[156],"simulation":[158],"demonstrates":[160],"multi-probe":[162],"configurations":[163],"can":[164],"be":[165,195],"exploited":[166,196],"measure":[168],"flow":[173],"accurately":[175],"precisely":[177],"regions":[182],"SIGNIFICANCE:":[185],"In":[186],"clinical":[188],"scenario,":[189],"for":[190,197],"example,":[191],"could":[194],"estimation":[199],"abdominal":[202],"where":[204],"vessels,":[208],"aorta,":[212],"located.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-10-10T00:00:00"}
