{"id":"https://openalex.org/W2581533092","doi":"https://doi.org/10.1145/3018743.3018765","title":"Model-based Iterative CT Image Reconstruction on GPUs","display_name":"Model-based Iterative CT Image Reconstruction on GPUs","publication_year":2017,"publication_date":"2017-01-26","ids":{"openalex":"https://openalex.org/W2581533092","doi":"https://doi.org/10.1145/3018743.3018765","mag":"2581533092"},"language":"en","primary_location":{"id":"doi:10.1145/3018743.3018765","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3018743.3018765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","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/A5000932612","display_name":"Amit Sabne","orcid":"https://orcid.org/0000-0002-2179-0078"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amit Sabne","raw_affiliation_strings":["Microsoft, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Seattle, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411431","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0001-6545-1943"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075674453","display_name":"Sherman J. Kisner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sherman J. Kisner","raw_affiliation_strings":["High Performance Imaging L.L.C., West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"High Performance Imaging L.L.C., West Lafayette, IN, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles A. Bouman","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Raghunathan","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013023792","display_name":"Samuel P. Midkiff","orcid":"https://orcid.org/0000-0003-0246-7192"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel P. Midkiff","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000932612"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":4.6758,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95047304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9983000159263611,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8383517861366272},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7130662798881531},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6397988796234131},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.45839130878448486},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4399957060813904},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.4165745973587036},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4133613109588623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4098902940750122},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37085866928100586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.351914644241333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34015634655952454},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.22099584341049194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8383517861366272},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7130662798881531},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6397988796234131},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.45839130878448486},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4399957060813904},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.4165745973587036},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4133613109588623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4098902940750122},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37085866928100586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.351914644241333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34015634655952454},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.22099584341049194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3018743.3018765","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3018743.3018765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6817065592","display_name":null,"funder_award_id":"D15PC00110","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"}],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W195815970","https://openalex.org/W831582143","https://openalex.org/W1902903569","https://openalex.org/W1986262252","https://openalex.org/W1990919278","https://openalex.org/W2003624223","https://openalex.org/W2042431682","https://openalex.org/W2053155454","https://openalex.org/W2065095381","https://openalex.org/W2075822095","https://openalex.org/W2091438981","https://openalex.org/W2095984592","https://openalex.org/W2096734493","https://openalex.org/W2097846568","https://openalex.org/W2099432597","https://openalex.org/W2108720883","https://openalex.org/W2109275132","https://openalex.org/W2110844694","https://openalex.org/W2117893569","https://openalex.org/W2124678094","https://openalex.org/W2141713516","https://openalex.org/W2141991262","https://openalex.org/W2142419873","https://openalex.org/W2143163922","https://openalex.org/W2159940799","https://openalex.org/W2165966284","https://openalex.org/W2168543121","https://openalex.org/W2272618324","https://openalex.org/W2285952687","https://openalex.org/W2398736309","https://openalex.org/W2540384919","https://openalex.org/W2540943031","https://openalex.org/W2544090110","https://openalex.org/W2544317249","https://openalex.org/W2548063232","https://openalex.org/W4296142362"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W1485837041","https://openalex.org/W3012895752","https://openalex.org/W3204955359"],"abstract_inverted_index":{"Computed":[0],"Tomography":[1],"(CT)":[2],"Image":[3],"Reconstruction":[4,27],"is":[5,34,49,69],"an":[6],"important":[7],"technique":[8],"used":[9],"in":[10,42,64,97],"a":[11,35,127,137,144,149],"variety":[12],"of":[13,44,86,94,129,141],"domains,":[14],"including":[15],"medical":[16],"imaging,":[17],"electron":[18],"microscopy,":[19],"non-destructive":[20],"testing":[21],"and":[22,53,57,88,117],"transportation":[23],"security.":[24],"Model-based":[25],"Iterative":[26,30],"(MBIR)":[28],"using":[29],"Coordinate":[31],"Descent":[32],"(ICD)":[33],"CT":[36],"algorithm":[37,76,81],"that":[38,123],"produces":[39],"state-of-the-art":[40,145],"results":[41],"terms":[43],"image":[45],"quality.":[46],"However,":[47],"MBIR":[48,98,122],"highly":[50],"computationally":[51],"intensive":[52],"challenging":[54],"to":[55,99,112],"parallelize,":[56],"has":[58],"traditionally":[59],"been":[60],"viewed":[61],"as":[62],"impractical":[63],"applications":[65],"where":[66],"reconstruction":[67],"time":[68],"critical.":[70],"We":[71,106],"present":[72],"the":[73,83,91,102],"first":[74],"GPU-based":[75],"for":[77,121],"ICD-based":[78],"MBIR.":[79],"The":[80],"leverages":[82],"recently-proposed":[84],"concept":[85],"SuperVoxels,":[87],"efficiently":[89],"exploits":[90],"three":[92],"levels":[93],"parallelism":[95],"available":[96],"better":[100],"utilize":[101],"GPU":[103,134],"hardware":[104],"resources.":[105],"also":[107],"explore":[108],"data":[109],"layout":[110],"transformations":[111],"obtain":[113],"more":[114],"coalesced":[115],"accesses":[116],"several":[118],"GPU-specific":[119],"optimizations":[120],"boost":[124],"performance.":[125],"Across":[126],"suite":[128],"3200":[130],"test":[131],"cases,":[132],"our":[133],"implementation":[135,147],"obtains":[136],"geometric":[138],"mean":[139],"speedup":[140],"4.43X":[142],"over":[143],"multi-core":[146],"on":[148],"16-core":[150],"iso-power":[151],"CPU.":[152]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}