{"id":"https://openalex.org/W2890554915","doi":"https://doi.org/10.1186/s42492-018-0002-5","title":"Optimizing photoacoustic image reconstruction using cross-platform parallel computation","display_name":"Optimizing photoacoustic image reconstruction using cross-platform parallel computation","publication_year":2018,"publication_date":"2018-09-04","ids":{"openalex":"https://openalex.org/W2890554915","doi":"https://doi.org/10.1186/s42492-018-0002-5","mag":"2890554915","pmid":"https://pubmed.ncbi.nlm.nih.gov/32226922"},"language":"en","primary_location":{"id":"doi:10.1186/s42492-018-0002-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-018-0002-5","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-018-0002-5","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-018-0002-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069261284","display_name":"Tri Vu","orcid":"https://orcid.org/0000-0002-1384-8647"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tri Vu","raw_affiliation_strings":["Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101649235","display_name":"Yuehang Wang","orcid":"https://orcid.org/0000-0002-6467-5088"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuehang Wang","raw_affiliation_strings":["Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075655523","display_name":"Jun Xia","orcid":"https://orcid.org/0000-0002-9864-7835"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Xia","raw_affiliation_strings":["Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069261284"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.1114,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.46089162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":"1","first_page":"2","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10782","display_name":"Nanoplatforms for cancer theranostics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6216517090797424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5795300602912903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.571598470211029},{"id":"https://openalex.org/keywords/photoacoustic-imaging-in-biomedicine","display_name":"Photoacoustic imaging in biomedicine","score":0.49609288573265076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4886944591999054},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.44322267174720764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.425725519657135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28696298599243164},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1793377697467804},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1094750463962555}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6216517090797424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5795300602912903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.571598470211029},{"id":"https://openalex.org/C54932901","wikidata":"https://www.wikidata.org/wiki/Q7187705","display_name":"Photoacoustic imaging in biomedicine","level":2,"score":0.49609288573265076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4886944591999054},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.44322267174720764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425725519657135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28696298599243164},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1793377697467804},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1094750463962555}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s42492-018-0002-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-018-0002-5","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-018-0002-5","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},{"id":"pmid:32226922","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32226922","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":"Visual computing for industry, biomedicine, and art","raw_type":null},{"id":"pmh:oai:doaj.org/article:06cc91685c7e437dba97b545aa7a4563","is_oa":true,"landing_page_url":"https://doaj.org/article/06cc91685c7e437dba97b545aa7a4563","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art, Vol 1, Iss 1, Pp 1-6 (2018)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7089714","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7089714","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vis Comput Ind Biomed Art","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s42492-018-0002-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-018-0002-5","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-018-0002-5","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306141","display_name":"Susan G. Komen for the Cure","ror":"https://ror.org/02nadbe75"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890554915.pdf","grobid_xml":"https://content.openalex.org/works/W2890554915.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1921876583","https://openalex.org/W1992009035","https://openalex.org/W1995215966","https://openalex.org/W1995583204","https://openalex.org/W2016641965","https://openalex.org/W2019493368","https://openalex.org/W2024575266","https://openalex.org/W2036343507","https://openalex.org/W2045130096","https://openalex.org/W2052729797","https://openalex.org/W2083952346","https://openalex.org/W2092513871","https://openalex.org/W2095648002","https://openalex.org/W2096734493","https://openalex.org/W2107536698","https://openalex.org/W2148967099","https://openalex.org/W2157048271","https://openalex.org/W2161408358","https://openalex.org/W2162473564","https://openalex.org/W2166948852","https://openalex.org/W2342196188","https://openalex.org/W2500522403","https://openalex.org/W3125593557"],"related_works":["https://openalex.org/W3118253164","https://openalex.org/W2923010535","https://openalex.org/W1763364486","https://openalex.org/W2800744829","https://openalex.org/W2884876339","https://openalex.org/W2046435967","https://openalex.org/W2731062999","https://openalex.org/W4231775656","https://openalex.org/W2916425486","https://openalex.org/W151960279"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"image":[2,149],"reconstruction":[3,45,72,150],"involves":[4],"the":[5,26,31,89,98,104,127],"computations":[6],"of":[7,11,34,100],"an":[8,58],"extensive":[9],"amount":[10],"data":[12],"that":[13,91],"leads":[14],"to":[15,24,116],"tremendous":[16],"processing":[17,36],"time.":[18],"Therefore,":[19],"optimization":[20,65],"is":[21,41,56,88,133],"crucially":[22],"needed":[23],"improve":[25],"performance":[27],"and":[28,51,70,138,151],"efficiency.":[29],"With":[30],"widespread":[32],"use":[33],"graphics":[35],"units":[37],"(GPU),":[38],"parallel":[39],"computing":[40],"transforming":[42],"this":[43,140],"arduous":[44],"process":[46],"for":[47,147],"numerous":[48],"imaging":[49,154],"modalities,":[50],"photoacoustic":[52,67,148],"computed":[53],"tomography":[54],"(PACT)":[55],"not":[57],"exception.":[59],"Existing":[60],"works":[61],"have":[62],"investigated":[63],"GPU-based":[64],"on":[66,79],"microscopy":[68],"(PAM)":[69],"PACT":[71],"using":[73],"compute":[74],"unified":[75],"device":[76],"architecture":[77],"(CUDA)":[78],"either":[80],"C++":[81],"or":[82],"MATLAB":[83,110,119,132],"only.":[84],"However,":[85],"our":[86,123],"study":[87,141],"first":[90],"uses":[92],"cross-platform":[93,124],"GPU":[94,121],"computation.":[95],"It":[96],"maintains":[97],"simplicity":[99],"MATLAB,":[101],"while":[102],"improves":[103,126],"speed":[105,128],"through":[106],"CUDA/C++":[107],"-":[108],"based":[109],"converted":[111],"functions":[112],"called":[113],"MEXCUDA.":[114],"Compared":[115],"a":[117],"purely":[118],"with":[120],"approach,":[122],"method":[125],"five":[129],"times.":[130],"Because":[131],"widely":[134],"used":[135],"in":[136],"PAM":[137],"PACT,":[139],"will":[142],"open":[143],"up":[144],"new":[145],"avenues":[146],"relevant":[152],"real-time":[153],"applications.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
