{"id":"https://openalex.org/W2107812457","doi":"https://doi.org/10.1155/s1110865703211057","title":"Automatic Characterization of Myocardial Perfusion in Contrast Enhanced MRI","display_name":"Automatic Characterization of Myocardial Perfusion in Contrast Enhanced MRI","publication_year":2003,"publication_date":"2003-04-14","ids":{"openalex":"https://openalex.org/W2107812457","doi":"https://doi.org/10.1155/s1110865703211057","mag":"2107812457"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865703211057","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865703211057","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703211057","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703211057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090506270","display_name":"Vincenzo Positano","orcid":"https://orcid.org/0000-0001-6955-9572"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]},{"id":"https://openalex.org/I4210106076","display_name":"Istituto di Fisiologia Clinica","ror":"https://ror.org/01kdj2848","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106076","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Vincenzo Positano","raw_affiliation_strings":["Institute of Clinical Physiology, National Research Council, Via Moruzzi, 1 Loc San Cataldo, Pisa, 56100, Italy","Institute of Clinical Physiology, National Research Council, Via Moruzzi, Pisa, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Clinical Physiology, National Research Council, Via Moruzzi, 1 Loc San Cataldo, Pisa, 56100, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210106076"]},{"raw_affiliation_string":"Institute of Clinical Physiology, National Research Council, Via Moruzzi, Pisa, Italy#TAB#","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044785782","display_name":"Maria Filomena Santarelli","orcid":"https://orcid.org/0000-0001-8332-7006"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]},{"id":"https://openalex.org/I4210106076","display_name":"Istituto di Fisiologia Clinica","ror":"https://ror.org/01kdj2848","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106076","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Maria Filomena Santarelli","raw_affiliation_strings":["Institute of Clinical Physiology, National Research Council, Via Moruzzi, 1 Loc San Cataldo, Pisa, 56100, Italy","Institute of Clinical Physiology, National Research Council, Via Moruzzi, Pisa, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Clinical Physiology, National Research Council, Via Moruzzi, 1 Loc San Cataldo, Pisa, 56100, Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210106076"]},{"raw_affiliation_string":"Institute of Clinical Physiology, National Research Council, Via Moruzzi, Pisa, Italy#TAB#","institution_ids":["https://openalex.org/I197604219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015471641","display_name":"Luigi Landini","orcid":"https://orcid.org/0000-0002-2534-2651"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Landini","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Via Diotisalvi 2, Pisa, 56122, Italy","Dept. of Information Engineering, University of Pisa, via Diotisalvi, Pisa, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Via Diotisalvi 2, Pisa, 56122, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Pisa, via Diotisalvi, Pisa, Italy#TAB#","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.5512,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71972794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2003","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9997000098228455,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9997000098228455,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9991999864578247,"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/perfusion","display_name":"Perfusion","score":0.7498838305473328},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6449323296546936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165426969528198},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5719358921051025},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.530700147151947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5130335092544556},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5048361420631409},{"id":"https://openalex.org/keywords/perfusion-scanning","display_name":"Perfusion scanning","score":0.42300665378570557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4094061851501465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3966529965400696},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.39036351442337036},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2641981542110443},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.23486462235450745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08269250392913818},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06910547614097595}],"concepts":[{"id":"https://openalex.org/C146957229","wikidata":"https://www.wikidata.org/wiki/Q1266915","display_name":"Perfusion","level":2,"score":0.7498838305473328},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6449323296546936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165426969528198},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5719358921051025},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.530700147151947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5130335092544556},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5048361420631409},{"id":"https://openalex.org/C135691158","wikidata":"https://www.wikidata.org/wiki/Q7168308","display_name":"Perfusion scanning","level":3,"score":0.42300665378570557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4094061851501465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3966529965400696},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.39036351442337036},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2641981542110443},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23486462235450745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08269250392913818},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06910547614097595}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/s1110865703211057","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865703211057","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703211057","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/78723","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/78723","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:28031","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/28031","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1155/s1110865703211057","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865703211057","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703211057","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2107812457.pdf","grobid_xml":"https://content.openalex.org/works/W2107812457.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1523516578","https://openalex.org/W1585981173","https://openalex.org/W1667165204","https://openalex.org/W1874027545","https://openalex.org/W1973181739","https://openalex.org/W1975996023","https://openalex.org/W1976919504","https://openalex.org/W1979892835","https://openalex.org/W1986037713","https://openalex.org/W2003863072","https://openalex.org/W2034432063","https://openalex.org/W2040647120","https://openalex.org/W2061339720","https://openalex.org/W2105641829","https://openalex.org/W2109202530","https://openalex.org/W2129941787","https://openalex.org/W2133584444","https://openalex.org/W2134321819","https://openalex.org/W2138943050","https://openalex.org/W2140935196","https://openalex.org/W2140967643","https://openalex.org/W2144601375","https://openalex.org/W2145803225","https://openalex.org/W2352384750","https://openalex.org/W2525550428","https://openalex.org/W4242237682","https://openalex.org/W4243102281","https://openalex.org/W4244812199","https://openalex.org/W4301253858"],"related_works":["https://openalex.org/W2467919609","https://openalex.org/W3032083687","https://openalex.org/W2383101986","https://openalex.org/W2471267301","https://openalex.org/W2467341106","https://openalex.org/W2385340480","https://openalex.org/W2133730772","https://openalex.org/W2361304792","https://openalex.org/W2382734415","https://openalex.org/W2386503742"],"abstract_inverted_index":{"The":[0,34,74,111,133],"use":[1],"of":[2,25,28,49,57,60,65,72,101,108,130],"contrast":[3,29],"medium":[4],"in":[5,31,77,145],"cardiac":[6,138],"MRI":[7,39],"allows":[8,127],"joining":[9],"the":[10,26,42,70,83,102,123],"high-resolution":[11],"anatomical":[12],"information":[13,21],"provided":[14],"by":[15,23,63],"standard":[16],"magnetic":[17],"resonance":[18],"with":[19,120],"functional":[20],"obtained":[22],"means":[24],"perfusion":[27,38,62],"agent":[30],"myocardial":[32,131],"tissues.":[33],"current":[35],"approach":[36],"to":[37,52,69,88,122],"characterization":[40,129],"is":[41,82,118],"qualitative":[43],"one,":[44],"based":[45,96],"on":[46,97,137],"visual":[47],"inspection":[48],"images.":[50],"Moving":[51],"quantitative":[53,78],"analysis":[54,64,81,107],"requires":[55,113],"extraction":[56,105],"numerical":[58],"indices":[59],"myocardium":[61],"time/intensity":[66,109],"curves":[67],"related":[68],"area":[71],"interest.":[73],"main":[75],"problem":[76],"image":[79,98],"sequence":[80],"heart":[84],"movement,":[85],"mainly":[86],"due":[87],"patient":[89],"respiration.":[90],"We":[91],"propose":[92],"an":[93],"automatic":[94],"procedure":[95,112],"registration,":[99],"segmentation":[100],"myocardium,":[103],"and":[104,106,126,144],"curves.":[110],"a":[114],"minimal":[115],"user":[116,124],"interaction,":[117],"robust":[119],"respect":[121],"input,":[125],"effective":[128],"perfusion.":[132],"algorithm":[134],"was":[135],"tested":[136],"MR":[139],"images":[140],"acquired":[141],"from":[142],"voluntaries":[143],"clinical":[146],"routine.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
