{"id":"https://openalex.org/W2052854379","doi":"https://doi.org/10.1109/tbme.2012.2214386","title":"Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures","display_name":"Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures","publication_year":2012,"publication_date":"2012-08-21","ids":{"openalex":"https://openalex.org/W2052854379","doi":"https://doi.org/10.1109/tbme.2012.2214386","mag":"2052854379","pmid":"https://pubmed.ncbi.nlm.nih.gov/22922688"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2012.2214386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2012.2214386","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112636409","display_name":"Yongkweon Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yongkweon Jeon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul 151-744, Korea. yonkham@gmail.com","Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul 151-744, Korea. yonkham@gmail.com","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016994398","display_name":"Joong\u2010Ho Won","orcid":"https://orcid.org/0000-0002-5597-9557"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joong-Ho Won","raw_affiliation_strings":["School of Industrial Management Engineering, Korea University, Seoul, South Korea","Sch. of Ind. Manage. Eng., Korea Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial Management Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Sch. of Ind. Manage. Eng., Korea Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086877012","display_name":"Sungroh Yoon","orcid":"https://orcid.org/0000-0002-2367-197X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungroh Yoon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112636409"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12247917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"60","issue":"1","first_page":"240","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.989799976348877,"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":"AI in cancer detection","score":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8523013591766357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7280145287513733},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.5324882864952087},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5104302763938904},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4887568950653076},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48687735199928284},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.4859296381473541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4776695668697357},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4159570336341858},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.41359373927116394},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.34180474281311035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2980003356933594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11410239338874817},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07770481705665588}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8523013591766357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7280145287513733},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.5324882864952087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5104302763938904},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4887568950653076},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48687735199928284},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.4859296381473541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4776695668697357},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4159570336341858},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.41359373927116394},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34180474281311035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2980003356933594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11410239338874817},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07770481705665588},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001012","descriptor_name":"Aorta, Abdominal","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001012","descriptor_name":"Aorta, Abdominal","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001012","descriptor_name":"Aorta, Abdominal","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001012","descriptor_name":"Aorta, Abdominal","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001012","descriptor_name":"Aorta, Abdominal","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001012","descriptor_name":"Aorta, Abdominal","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018810","descriptor_name":"Magnetic Resonance Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018810","descriptor_name":"Magnetic Resonance Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018810","descriptor_name":"Magnetic Resonance Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2012.2214386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2012.2214386","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:22922688","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22922688","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}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1963547452","https://openalex.org/W1969481231","https://openalex.org/W1999692457","https://openalex.org/W2050241533","https://openalex.org/W2087810737","https://openalex.org/W2101712920","https://openalex.org/W2317643804","https://openalex.org/W4213255380","https://openalex.org/W4229739412"],"related_works":["https://openalex.org/W1970433854","https://openalex.org/W2023867642","https://openalex.org/W1905852083","https://openalex.org/W575709247","https://openalex.org/W113996306","https://openalex.org/W2063372669","https://openalex.org/W4367592995","https://openalex.org/W2220968517","https://openalex.org/W2221819563","https://openalex.org/W2764495645"],"abstract_inverted_index":{"Images":[0],"captured":[1],"using":[2,123],"computed":[3],"tomography":[4],"and":[5,18,65,170],"magnetic":[6],"resonance":[7],"angiography":[8],"are":[9],"used":[10,134],"in":[11,29,81,118,131],"the":[12,15,39,55,68,72,79,83,99,115,141,146,154,163],"examination":[13,22],"of":[14,23,41,166,173],"abdominal":[16,167],"aorta":[17],"its":[19],"branches.":[20],"The":[21],"all":[24],"clinically":[25],"relevant":[26],"branches":[27],"simultaneously":[28],"a":[30,111,119,159],"single":[31],"2-D":[32],"image":[33],"without":[34],"any":[35],"misleading":[36],"overlaps":[37],"facilitates":[38],"diagnosis":[40,172],"vascular":[42,168],"abnormalities.":[43,175],"This":[44,108],"problem":[45,57,87],"is":[46,76,104],"called":[47],"uncluttered":[48],"single-image":[49],"visualization":[50,63,148,165],"(USIV).":[51],"We":[52,151],"can":[53,144,157],"solve":[54],"USIV":[56],"by":[58],"assigning":[59],"energy-based":[60],"scores":[61],"to":[62,78,97,128,162],"candidates":[64],"then":[66],"finding":[67],"candidate":[69],"that":[70,153],"optimizes":[71],"score;":[73],"this":[74],"approach":[75],"similar":[77],"manner":[80],"which":[82,103,132],"protein":[84],"side-chain":[85],"placement":[86],"has":[88],"been":[89],"solved.":[90],"To":[91],"obtain":[92],"near-optimum":[93],"images,":[94],"we":[95,133],"need":[96],"explore":[98],"energy":[100,116],"space":[101,117],"extensively,":[102],"often":[105],"time":[106,149],"consuming.":[107],"paper":[109],"describes":[110],"method":[112,143,156],"for":[113],"exploring":[114],"massively":[120],"parallel":[121],"fashion":[122],"graphics":[124],"processing":[125],"units.":[126],"According":[127],"our":[129],"experiments,":[130],"30":[135],"images":[136],"obtained":[137],"from":[138],"five":[139],"patients,":[140],"proposed":[142,155],"reduce":[145],"total":[147],"substantially.":[150],"believe":[152],"make":[158],"significant":[160],"contribution":[161],"effective":[164],"structures":[169],"precise":[171],"related":[174]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}