{"id":"https://openalex.org/W2778027171","doi":"https://doi.org/10.1177/1094342016677586","title":"GPU-based computational modeling of magnetic resonance imaging of vascular structures","display_name":"GPU-based computational modeling of magnetic resonance imaging of vascular structures","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2778027171","doi":"https://doi.org/10.1177/1094342016677586","mag":"2778027171"},"language":"en","primary_location":{"id":"doi:10.1177/1094342016677586","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342016677586","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"},"type":"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/A5074235334","display_name":"Krzysztof Jurczuk","orcid":"https://orcid.org/0000-0001-6469-1769"},"institutions":[{"id":"https://openalex.org/I1323121030","display_name":"Bialystok University of Technology","ror":"https://ror.org/02bzfsy61","country_code":"PL","type":"education","lineage":["https://openalex.org/I1323121030"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Jurczuk","raw_affiliation_strings":["Faculty of Computer Science, Bialystok University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Bialystok University of Technology, Poland","institution_ids":["https://openalex.org/I1323121030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075724243","display_name":"Marek Kr\u0119towski","orcid":"https://orcid.org/0000-0001-9175-2678"},"institutions":[{"id":"https://openalex.org/I1323121030","display_name":"Bialystok University of Technology","ror":"https://ror.org/02bzfsy61","country_code":"PL","type":"education","lineage":["https://openalex.org/I1323121030"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Kretowski","raw_affiliation_strings":["Faculty of Computer Science, Bialystok University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Bialystok University of Technology, Poland","institution_ids":["https://openalex.org/I1323121030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071299004","display_name":"Johanne B\u00e9zy\u2010Wendling","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Johanne Bezy\u2013Wendling","raw_affiliation_strings":["INSERM, Rennes, France","University of Rennes 1, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INSERM, Rennes, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"University of Rennes 1, Rennes, France","institution_ids":["https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074235334"],"corresponding_institution_ids":["https://openalex.org/I1323121030"],"apc_list":null,"apc_paid":null,"fwci":0.5554,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73327862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":"4","first_page":"496","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9970999956130981,"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":0.9970999956130981,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030811548233032},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.7788455486297607},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.769881010055542},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5893376469612122},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5013043880462646},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4997091293334961},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4977588951587677},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41497594118118286},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.20711448788642883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030811548233032},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.7788455486297607},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.769881010055542},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5893376469612122},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5013043880462646},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4997091293334961},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4977588951587677},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41497594118118286},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.20711448788642883}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/1094342016677586","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342016677586","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01861555v1","is_oa":false,"landing_page_url":"https://univ-rennes.hal.science/hal-01861555","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of High Performance Computing Applications, 2018, 32 (4), pp.496-511. ⟨10.1177/1094342016677586⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323075","display_name":"Politechnika Bialostocka","ror":"https://ror.org/02bzfsy61"},{"id":"https://openalex.org/F4320324509","display_name":"Universit\u00e9 de Rennes 1","ror":"https://ror.org/015m7wh34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W579519726","https://openalex.org/W586537888","https://openalex.org/W599934088","https://openalex.org/W630741066","https://openalex.org/W645173616","https://openalex.org/W783341876","https://openalex.org/W791316411","https://openalex.org/W1813030236","https://openalex.org/W1864199185","https://openalex.org/W1865195249","https://openalex.org/W1872551119","https://openalex.org/W1991620223","https://openalex.org/W1998859230","https://openalex.org/W1999243023","https://openalex.org/W2003717144","https://openalex.org/W2008964362","https://openalex.org/W2039981583","https://openalex.org/W2050983595","https://openalex.org/W2053042479","https://openalex.org/W2073173722","https://openalex.org/W2076595061","https://openalex.org/W2086279301","https://openalex.org/W2086497874","https://openalex.org/W2096553377","https://openalex.org/W2105672886","https://openalex.org/W2112880566","https://openalex.org/W2122923499","https://openalex.org/W2126270278","https://openalex.org/W2132150233","https://openalex.org/W2137325278","https://openalex.org/W2149335377","https://openalex.org/W2149425359","https://openalex.org/W2164465395","https://openalex.org/W2168060295","https://openalex.org/W2216861824","https://openalex.org/W2462770533","https://openalex.org/W2484678095","https://openalex.org/W2528594563","https://openalex.org/W2909354690","https://openalex.org/W4205733018","https://openalex.org/W4249672444"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W2153506571","https://openalex.org/W3104348697"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2,22],"(MRI)":[3],"is":[4,17,116,175],"one":[5],"of":[6,94,96,122,141,209,219],"the":[7,56,120,129,139,153,207],"most":[8],"important":[9],"diagnostic":[10],"tools":[11],"in":[12,51,206],"modern":[13],"medicine.":[14],"Since":[15],"it":[16],"a":[18,52,101],"high-cost":[19],"and":[20,118,145,162,182],"highly-complex":[21],"modality,":[23],"computational":[24],"models":[25,42],"are":[26,126,135,166],"frequently":[27],"built":[28],"to":[29,36,45,48,85,168,196],"enhance":[30],"its":[31],"understanding":[32],"as":[33,35],"well":[34],"support":[37],"further":[38],"development.":[39],"However,":[40],"such":[41],"often":[43],"have":[44],"be":[46,192,203],"simplified":[47],"complete":[49],"simulations":[50,57,93,190],"reasonable":[53],"time.":[54],"Thus,":[55],"with":[58,62,70],"high":[59],"spatial/temporal":[60],"resolutions,":[61],"any":[63],"motion":[64],"consideration":[65],"(like":[66],"blood":[67,142],"flow)":[68],"and/or":[69],"3D":[71],"objects":[72],"usually":[73],"call":[74],"for":[75,91,137,178],"using":[76],"parallel":[77],"computing":[78],"environments.":[79],"In":[80,152],"this":[81],"paper,":[82],"we":[83],"propose":[84],"use":[86],"graphics":[87],"processing":[88],"units":[89],"(GPUs)":[90],"fast":[92],"MRI":[95,146,189],"vascular":[97,180],"structures.":[98],"We":[99],"apply":[100],"CUDA":[102],"environment":[103],"which":[104],"supports":[105],"general":[106],"purpose":[107],"computation":[108],"on":[109],"GPU":[110,130,133,171],"(GPGPU).":[111],"The":[112,132,198],"data":[113,157],"decomposition":[114],"strategy":[115],"applied":[117,167],"thus":[119],"parts":[121],"each":[123],"virtual":[124],"object":[125],"spread":[127],"over":[128],"cores.":[131],"cores":[134],"responsible":[136],"calculating":[138],"influence":[140],"flow":[143,211],"behavior":[144],"events":[147],"after":[148],"successive":[149],"time":[150],"steps.":[151],"proposed":[154,199],"approach,":[155],"different":[156,183],"layouts,":[158],"memory":[159,164],"access":[160],"patterns,":[161],"other":[163,210],"improvements":[165],"efficiently":[169],"exploit":[170],"resources.":[172],"Computational":[173],"performance":[174],"thoroughly":[176],"validated":[177],"various":[179],"structures":[181],"NVIDIA":[184],"GPUs.":[185],"Results":[186],"show":[187],"that":[188],"can":[191],"accelerated":[193],"significantly":[194],"thanks":[195],"GPGPU.":[197],"GPU-based":[200],"approach":[201],"may":[202],"easily":[204],"adopted":[205],"modeling":[208],"related":[212],"phenomena":[213],"like":[214],"perfusion,":[215],"diffusion":[216],"or":[217],"transport":[218],"contrast":[220],"agents.":[221]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}