{"id":"https://openalex.org/W4232072070","doi":"https://doi.org/10.1109/visual.2005.1532809","title":"Rendering Tetrahedral Meshes with Higher-Order Attenuation Functions for Digital Radiograph Reconstruction","display_name":"Rendering Tetrahedral Meshes with Higher-Order Attenuation Functions for Digital Radiograph Reconstruction","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W4232072070","doi":"https://doi.org/10.1109/visual.2005.1532809"},"language":"en","primary_location":{"id":"doi:10.1109/visual.2005.1532809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2005.1532809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VIS 05. IEEE Visualization, 2005.","raw_type":"proceedings-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/A5026988709","display_name":"O. Sadowsky","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"O. Sadowsky","raw_affiliation_strings":["Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043781543","display_name":"J.D. Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.D. Cohen","raw_affiliation_strings":["Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052147846","display_name":"R.H. Taylor","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.H. Taylor","raw_affiliation_strings":["Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026988709"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":1.5572,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85187158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"303","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9933000206947327,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6226726770401001},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5960926413536072},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5899242162704468},{"id":"https://openalex.org/keywords/tetrahedron","display_name":"Tetrahedron","score":0.5485419631004333},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.49778294563293457},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48038536310195923},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.46779781579971313},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.45786502957344055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44595882296562195},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.4349675178527832},{"id":"https://openalex.org/keywords/barycentric-coordinate-system","display_name":"Barycentric coordinate system","score":0.42979323863983154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4041842818260193},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3277260959148407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30397874116897583},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.29738983511924744},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.18639716506004333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15594518184661865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1512802541255951},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10154137015342712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226726770401001},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5960926413536072},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5899242162704468},{"id":"https://openalex.org/C105239961","wikidata":"https://www.wikidata.org/wiki/Q160003","display_name":"Tetrahedron","level":2,"score":0.5485419631004333},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.49778294563293457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48038536310195923},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46779781579971313},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.45786502957344055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44595882296562195},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.4349675178527832},{"id":"https://openalex.org/C128356825","wikidata":"https://www.wikidata.org/wiki/Q738422","display_name":"Barycentric coordinate system","level":2,"score":0.42979323863983154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4041842818260193},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3277260959148407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30397874116897583},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.29738983511924744},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.18639716506004333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15594518184661865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1512802541255951},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10154137015342712}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/visual.2005.1532809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2005.1532809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VIS 05. IEEE Visualization, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W111468195","https://openalex.org/W149715377","https://openalex.org/W1998710995","https://openalex.org/W2038952578","https://openalex.org/W2051156737","https://openalex.org/W2063366997","https://openalex.org/W2082246999","https://openalex.org/W2111871057","https://openalex.org/W2169035516","https://openalex.org/W2294985758","https://openalex.org/W3136895965","https://openalex.org/W3143519989","https://openalex.org/W3149313788","https://openalex.org/W4235322021","https://openalex.org/W4249671011"],"related_works":["https://openalex.org/W2086543656","https://openalex.org/W3158528665","https://openalex.org/W2156161953","https://openalex.org/W3148873671","https://openalex.org/W2358548015","https://openalex.org/W1991334951","https://openalex.org/W3166247578","https://openalex.org/W1983170893","https://openalex.org/W3204985021","https://openalex.org/W2355408552"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,38,66,78,109,117,133,154,185],"novel":[4],"method":[5,135,228],"for":[6,105,136,233],"computing":[7],"simulated":[8],"x-ray":[9],"images,":[10],"or":[11,126],"DRRs":[12,23,51],"(digitally":[13],"reconstructed":[14],"radiographs),":[15],"of":[16,37,50,61,69,120,153,157,172,181,184,193,208,213,240,250,258,265],"tetrahedral":[17,80,186],"meshes":[18],"with":[19,32,77,162,199],"higher-order":[20,114,209,260],"attenuation":[21,34,221],"functions.":[22,210],"are":[24],"commonly":[25],"used":[26],"in":[27,53,219],"computer":[28],"assisted":[29],"surgery":[30],"(CAS),":[31],"the":[33,59,62,84,113,121,138,149,169,182,202,220,241,252,256,263,266,269],"function":[35,222],"consisting":[36],"voxelized":[39],"CT":[40,63,85],"study,":[41],"which":[42,82,140],"is":[43,52,102],"viewed":[44],"from":[45],"different":[46],"directions.":[47],"Our":[48],"application":[49,147],"intra-operative":[54],"\"2D-3D\"":[55],"registration,":[56],"i.e.,":[57],"finding":[58],"pose":[60],"dataset":[64],"given":[65],"small":[67],"number":[68],"patient":[70,75],"radiographs.":[71],"We":[72,144,244],"register":[73],"2D":[74],"images":[76],"statistical":[79],"model,":[81],"encodes":[83],"intensity":[86],"numbers":[87],"as":[88],"Bernstein":[89],"polynomials,":[90],"and":[91,112,151,178,190,195,217,235,247,254,268],"includes":[92],"knowledge":[93],"about":[94],"typical":[95],"shape":[96,215],"variation":[97],"modes.":[98],"The":[99,129,227],"unstructured":[100,167],"grid":[101],"more":[103],"suitable":[104],"applying":[106,214],"deformations":[107,216],"than":[108,124],"rectilinear":[110],"grid,":[111],"polynomials":[115],"provide":[116],"better":[118],"approximation":[119],"actual":[122],"density":[123],"constant":[125],"linear":[127],"models.":[128],"infra-operative":[130],"environment":[131],"demands":[132],"fast":[134],"creating":[137],"DRRs,":[139],"we":[141],"present":[142,245],"here.":[143],"demonstrate":[145],"this":[146,173],"through":[148],"creation":[150],"use":[152],"deformable":[155],"atlas":[156],"human":[158],"pelvis":[159],"bones.":[160],"Compared":[161],"other":[163],"works":[164],"on":[165,232,262],"rendering":[166],"grids,":[168],"main":[170],"contributions":[171],"work":[174],"are:":[175],"1)":[176],"Simple":[177,189],"perspective-correct":[179,191],"interpolation":[180,192],"thickness":[183],"cell.":[187,203],"2)":[188],"front":[194],"back":[196],"barycentric":[197],"coordinates":[198],"respect":[200],"to":[201],"3)":[204],"Computing":[205],"line":[206],"integrals":[207],"4)":[211],"Capability":[212],"variations":[218],"without":[223],"significant":[224],"performance":[225],"loss.":[226],"does":[229,236],"not":[230,237],"depend":[231],"pre-integration,":[234],"require":[238],"depth-sorting":[239],"visualized":[242],"cells.":[243],"imaging":[246],"timing":[248],"results":[249],"implementing":[251],"algorithm,":[253],"discuss":[255],"impact":[257],"using":[259],"functions":[261],"quality":[264],"result":[267],"performance.":[270]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
