{"id":"https://openalex.org/W6926340260","doi":"https://doi.org/10.2312/vg/vg05/177-185","title":"GPU-based Object-Order Ray-Casting for Large Datasets","display_name":"GPU-based Object-Order Ray-Casting for Large Datasets","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W6926340260","doi":"https://doi.org/10.2312/vg/vg05/177-185"},"language":"en","primary_location":{"id":"doi:10.2312/vg/vg05/177-185","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vg/vg05/177-185","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/vg/vg05/177-185","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hong, Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qiu, Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Kaufman, Arie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaufman, Arie","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":2,"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":true,"primary_topic":{"id":"https://openalex.org/T13483","display_name":"Herbal Medicine Research Studies","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T13483","display_name":"Herbal Medicine Research Studies","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T13651","display_name":"Medicinal Plants and Bioactive Compounds","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12087","display_name":"Natural Compound Pharmacology Studies","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.711899995803833},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5626000165939331},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4334999918937683},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.42890000343322754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3928999900817871},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3804999887943268},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3601999878883362},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3273000121116638}],"concepts":[{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.711899995803833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618000268936157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5758000016212463},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5626000165939331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5526999831199646},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.42890000343322754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3804999887943268},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3273000121116638},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C42087268","wikidata":"https://www.wikidata.org/wiki/Q1886184","display_name":"Marching cubes","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C65557600","wikidata":"https://www.wikidata.org/wiki/Q7249451","display_name":"Projection method","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.26829999685287476},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/vg/vg05/177-185","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vg/vg05/177-185","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}],"best_oa_location":{"id":"doi:10.2312/vg/vg05/177-185","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vg/vg05/177-185","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":[{"display_name":"Decent work and economic growth","score":0.4593137204647064,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,136],"propose":[1],"a":[2,34,61,98,116,149],"GPU-based":[3],"object-order":[4],"ray-casting":[5,100],"algorithm":[6,101,142],"for":[7],"the":[8,16,44,48,65,72,76,86,103,109,127,133,138,144],"rendering":[9],"of":[10,47,140],"large":[11],"volumetric":[12,22,99],"datasets,":[13],"such":[14],"as":[15],"Visible":[17,145],"Human":[18,146],"CT":[19],"datasets.":[20],"A":[21],"dataset":[23,153],"is":[24,95],"decomposed":[25],"into":[26,71,122],"small":[27,39],"sub-volumes,":[28],"which":[29,51],"are":[30,41,52,58,68,81,130],"then":[31,69],"organized":[32],"using":[33,60,97,143],"min-max":[35,49],"octree":[36],"structure.":[37],"The":[38,56,79,92,124],"sub-volumes":[40],"stored":[42],"in":[43],"leaf":[45],"nodes":[46],"octree,":[50],"also":[53],"called":[54],"cells.":[55],"cells":[57,67,80,121,125],"classified":[59],"transfer":[62],"function,":[63],"and":[64,83,148],"visible":[66],"loaded":[70],"video":[73],"memory":[74],"or":[75],"AGP":[77],"memory.":[78],"sorted":[82],"projected":[84,131],"onto":[85],"image":[87],"plane":[88],"front":[89],"to":[90,107,119],"back.":[91],"cell":[93,110],"projection":[94,111],"implemented":[96],"on":[102,154],"GPU.":[104],"In":[105],"order":[106],"make":[108],"more":[112],"efficient,":[113],"we":[114],"devise":[115],"propagation":[117],"method":[118],"sort":[120],"layers.":[123],"within":[126],"same":[128,134],"layer":[129],"at":[132],"time.":[135],"demonstrate":[137],"efficiency":[139],"our":[141],"datasets":[147],"segmented":[150],"photographic":[151],"brain":[152],"commodity":[155],"PCs.":[156]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
