{"id":"https://openalex.org/W2121362537","doi":"https://doi.org/10.2312/eurovisshort.20141169","title":"Vortex Detection in 4D MRI Data: Using the Proper Orthogonal Decomposition for Improved Noise-Robustness","display_name":"Vortex Detection in 4D MRI Data: Using the Proper Orthogonal Decomposition for Improved Noise-Robustness","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2121362537","doi":"https://doi.org/10.2312/eurovisshort.20141169","mag":"2121362537"},"language":"en","primary_location":{"id":"doi:10.2312/eurovisshort.20141169","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurovisshort.20141169","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eurovisshort.20141169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085517250","display_name":"Robert Carnecky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carnecky, Robert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016457592","display_name":"T. Brunner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brunner, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113721582","display_name":"Silvia Born","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Born, Silvia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030890781","display_name":"J\u00fcrgen Waser","orcid":"https://orcid.org/0000-0002-3007-8074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waser, J\u00fcrgen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040165209","display_name":"Christian Heine","orcid":"https://orcid.org/0000-0001-7067-5650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heine, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030439152","display_name":"Ronald Peikert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peikert, Ronald","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.690590500831604},{"id":"https://openalex.org/keywords/vortex","display_name":"Vortex","score":0.6740496158599854},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6524367332458496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49487560987472534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49398738145828247},{"id":"https://openalex.org/keywords/proper-orthogonal-decomposition","display_name":"Proper orthogonal decomposition","score":0.47889819741249084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47067221999168396},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4705643653869629},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40899255871772766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3865935802459717},{"id":"https://openalex.org/keywords/point-of-delivery","display_name":"Point of delivery","score":0.21984872221946716},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19067177176475525},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0908806324005127}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.690590500831604},{"id":"https://openalex.org/C140820882","wikidata":"https://www.wikidata.org/wiki/Q732722","display_name":"Vortex","level":2,"score":0.6740496158599854},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6524367332458496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49487560987472534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49398738145828247},{"id":"https://openalex.org/C2984998066","wikidata":"https://www.wikidata.org/wiki/Q105037988","display_name":"Proper orthogonal decomposition","level":3,"score":0.47889819741249084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47067221999168396},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4705643653869629},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40899255871772766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3865935802459717},{"id":"https://openalex.org/C137776501","wikidata":"https://www.wikidata.org/wiki/Q7208270","display_name":"Point of delivery","level":2,"score":0.21984872221946716},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19067177176475525},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0908806324005127},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/eurovisshort.20141169","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurovisshort.20141169","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"mag:2121362537","is_oa":false,"landing_page_url":"https://www.vrvis.at/publications/pdfs/PB-VRVis-2014-010.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306510186","display_name":"EuroVis (Short Papers)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"EuroVis (Short Papers)","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/eurovisshort.20141169","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurovisshort.20141169","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1514502579","https://openalex.org/W1559374871","https://openalex.org/W1569604061","https://openalex.org/W1592942929","https://openalex.org/W1633869374","https://openalex.org/W1936770188","https://openalex.org/W1979176272","https://openalex.org/W1982138035","https://openalex.org/W1990840721","https://openalex.org/W1991274616","https://openalex.org/W2006647958","https://openalex.org/W2027810504","https://openalex.org/W2033518278","https://openalex.org/W2059784307","https://openalex.org/W2062606909","https://openalex.org/W2063303627","https://openalex.org/W2069444004","https://openalex.org/W2069494733","https://openalex.org/W2076510657","https://openalex.org/W2121175842","https://openalex.org/W2133007913","https://openalex.org/W2151870015","https://openalex.org/W2163901348","https://openalex.org/W2168078816","https://openalex.org/W2171366071","https://openalex.org/W2171663733","https://openalex.org/W2294831722","https://openalex.org/W2798461040","https://openalex.org/W2989768142"],"related_works":["https://openalex.org/W2027810504","https://openalex.org/W2006647958","https://openalex.org/W1990840721","https://openalex.org/W2171366071","https://openalex.org/W2160615355","https://openalex.org/W2144144709","https://openalex.org/W1985189266","https://openalex.org/W3086033911","https://openalex.org/W2294935900","https://openalex.org/W3016312592","https://openalex.org/W3162963303","https://openalex.org/W3203941962","https://openalex.org/W2112484408","https://openalex.org/W2000614113","https://openalex.org/W2067842036","https://openalex.org/W61138360","https://openalex.org/W2927346671","https://openalex.org/W2499717391","https://openalex.org/W2215445360","https://openalex.org/W2146329861"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,26,39],"magnetic":[3],"resonance":[4],"imaging":[5],"(MRI)":[6],"technology":[7],"enabled":[8],"the":[9,40,47,50,56,65,72,76,87],"acquisition":[10],"of":[11,49,58],"time-resolved":[12],"3Dblood":[13],"flow":[14,17],"data.":[15],"Several":[16],"visualization":[18],"methods":[19],"have":[20],"been":[21],"applied":[22],"to":[23,28],"these":[24],"data":[25],"order":[27],"investigate":[29,46],"linksbetween":[30],"cardiovascular":[31],"diseases":[32],"and":[33],"hemodynamic":[34],"phenomena,":[35],"such":[36],"as":[37],"vortices":[38],"blood":[41],"flow.":[42],"In":[43],"this":[44],"work,we":[45],"use":[48],"proper":[51],"orthogonal":[52],"decomposition":[53],"(POD)":[54],"for":[55,83],"preprocessing":[57],"MRI":[59],"datasets":[60],"andstudy":[61],"its":[62],"effects":[63],"with":[64,75],"l2":[66],"vortex":[67],"detection":[68],"method.":[69],"By":[70],"comparing":[71],"POD":[73,88],"method":[74],"commonly":[77],"usedGaussian":[78],"filtering,":[79],"we":[80],"show":[81],"that":[82],"comparable":[84],"filtering":[85],"strengths,":[86],"produces":[89],"qualitatively":[90],"better":[91],"results.":[92]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
