{"id":"https://openalex.org/W2007855712","doi":"https://doi.org/10.1117/12.771125","title":"Evaluation of accuracy in partial volume analysis of small objects","display_name":"Evaluation of accuracy in partial volume analysis of small objects","publication_year":2008,"publication_date":"2008-03-06","ids":{"openalex":"https://openalex.org/W2007855712","doi":"https://doi.org/10.1117/12.771125","mag":"2007855712"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.771125","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5033871080","display_name":"Jan Rexilius","orcid":"https://orcid.org/0000-0002-4579-214X"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Rexilius","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108568278","display_name":"Heinz\u2010Otto Peitgen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heinz-Otto Peitgen","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.271,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.708272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":78,"max":80},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Positron Emission Tomography Imaging in Oncology","score":0.9934,"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":"Positron Emission Tomography Imaging in Oncology","score":0.9934,"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/T10862","display_name":"Deep Learning in Medical Image Analysis","score":0.9933,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12422","display_name":"Radiomics in Medical Imaging Analysis","score":0.9911,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/partial-volume","display_name":"Partial volume","score":0.6889669},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"Medical Image Analysis","score":0.592616},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical Imaging","score":0.524446},{"id":"https://openalex.org/keywords/quantitative-analysis","display_name":"Quantitative Analysis","score":0.518535},{"id":"https://openalex.org/keywords/quantitative","display_name":"Quantitative","score":0.514582},{"id":"https://openalex.org/keywords/imaging","display_name":"Imaging","score":0.511375},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47620237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82606626},{"id":"https://openalex.org/C82233179","wikidata":"https://www.wikidata.org/wiki/Q2054500","display_name":"Partial volume","level":2,"score":0.6889669},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.54442036},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47620237},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4674063},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.46605262},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.46119973},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46061608},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.44949576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43954015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43864077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36836755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32406095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09107539},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.771125","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4385556839","https://openalex.org/W4378746257","https://openalex.org/W2734382758","https://openalex.org/W2509104383","https://openalex.org/W2417440389","https://openalex.org/W2310453852","https://openalex.org/W2143795300","https://openalex.org/W2116058651","https://openalex.org/W2093750062","https://openalex.org/W2040334536"],"abstract_inverted_index":{"Accurate":[0],"and":[1,18,26],"robust":[2,158,186],"assessment":[3],"of":[4,14,33,48,61,75,97,103,126,153,161,169,217],"quantitative":[5],"parameters":[6],"is":[7,51,95,114,181],"a":[8,21,53,59,67,81,90,98,124,136,143,151,157,185],"key":[9],"issue":[10],"in":[11,40,58,119,167,184],"many":[12,120],"fields":[13],"medical":[15,76],"image":[16,77],"analysis,":[17],"can":[19],"have":[20,109],"direct":[22],"impact":[23],"on":[24,80,131,193,203],"diagnosis":[25],"treatment":[27],"monitoring.":[28],"Especially":[29],"for":[30,84],"the":[31,44,132,162,215],"analysis":[32],"small":[34],"structures":[35],"such":[36],"as":[37,200,202],"focal":[38],"lesions":[39],"patients":[41],"with":[42,171,210],"MS,":[43],"finite":[45],"spatial":[46],"resolution":[47],"imaging":[49],"devices":[50],"often":[52],"limiting":[54],"factor":[55],"that":[56,70,96,112],"results":[57],"mixture":[60,102,212],"different":[62],"tissue":[63],"types.":[64],"We":[65,122],"propose":[66,123],"new":[68,144],"method":[69],"allows":[71,156],"an":[72,116],"accurate":[73,138],"quantification":[74],"data,":[78],"focusing":[79],"dedicated":[82],"model":[83,93,164],"partial":[85],"volume":[86,187],"(PV)":[87],"artifacts.":[88,174],"Today,":[89],"widely":[91],"accepted":[92],"assumption":[94],"uniformly":[99],"distributed":[100],"linear":[101],"pure":[104],"tissues.":[105],"However,":[106],"several":[107],"publications":[108],"clearly":[110],"shown":[111],"this":[113],"not":[115],"appropriate":[117],"choice":[118],"cases.":[121],"generalization":[125],"current":[127,211],"PV":[128,173],"models":[129,213],"based":[130,178],"Beta":[133],"distribution,":[134],"yielding":[135],"more":[137,194],"quantification.":[139],"Furthermore,":[140],"we":[141],"present":[142],"classification":[145],"scheme.":[146],"Prior":[147],"knowledge":[148],"obtained":[149],"from":[150],"set":[152],"training":[154],"data":[155,206],"initial":[159],"estimate":[160],"proper":[163],"parameters,":[165],"even":[166],"cases":[168],"objects":[170],"predominant":[172],"A":[175,208],"maximum":[176],"likelihood":[177],"clustering":[179],"algorithm":[180],"employed,":[182],"resulting":[183],"estimate.":[188],"Experiments":[189],"are":[190],"carried":[191],"out":[192],"than":[195],"100":[196],"stylized":[197],"software":[198],"phantoms":[199],"well":[201],"realistic":[204],"phantom":[205],"sets.":[207],"comparison":[209],"shows":[214],"capabilities":[216],"our":[218],"approach.":[219]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2007855712","counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2024-10-18T06:46:57.255686","created_date":"2016-06-24"}
