{"id":"https://openalex.org/W2766485017","doi":"https://doi.org/10.1109/access.2017.2765184","title":"A Practical Design and Implementation of a Low-Cost Platform for Real-Time Diagnostic Imaging","display_name":"A Practical Design and Implementation of a Low-Cost Platform for Real-Time Diagnostic Imaging","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2766485017","doi":"https://doi.org/10.1109/access.2017.2765184","mag":"2766485017"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2765184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2765184","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2765184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041882769","display_name":"Murali Ravi","orcid":"https://orcid.org/0000-0003-3459-6749"},"institutions":[{"id":"https://openalex.org/I4819740","display_name":"Sri Sathya Sai Institute of Higher Learning","ror":"https://ror.org/05arzt710","country_code":"IN","type":"education","lineage":["https://openalex.org/I4819740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Murali Ravi","raw_affiliation_strings":["Department of Physics, Sri Sathya Sai Institute of Higher Learning, Anantapur, India","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-3459-6749","affiliations":[{"raw_affiliation_string":"Department of Physics, Sri Sathya Sai Institute of Higher Learning, Anantapur, India","institution_ids":["https://openalex.org/I4819740"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063041299","display_name":"Siva Sankara Sai Sanagapati","orcid":"https://orcid.org/0000-0003-1602-3269"},"institutions":[{"id":"https://openalex.org/I4819740","display_name":"Sri Sathya Sai Institute of Higher Learning","ror":"https://ror.org/05arzt710","country_code":"IN","type":"education","lineage":["https://openalex.org/I4819740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siva Sankara Sai Sanagapati","raw_affiliation_strings":["Faculty of Sciences, Sri Sathya Sai Institute of Higher Learning, Anantapur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences, Sri Sathya Sai Institute of Higher Learning, Anantapur, India","institution_ids":["https://openalex.org/I4819740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4819740"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4385,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66722142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"24952","last_page":"24958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9930999875068665,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.847272515296936},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5590502619743347},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5009124279022217},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5007603168487549},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49795961380004883},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4769631624221802},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.46200865507125854},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.4453834891319275},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.434461772441864},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.366476833820343},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3344365954399109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.256913959980011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847272515296936},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5590502619743347},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5009124279022217},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5007603168487549},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49795961380004883},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4769631624221802},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.46200865507125854},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.4453834891319275},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.434461772441864},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.366476833820343},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3344365954399109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.256913959980011},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2765184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2765184","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57ee1391cb314f40b9167118def04f75","is_oa":true,"landing_page_url":"https://doaj.org/article/57ee1391cb314f40b9167118def04f75","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 24952-24958 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2765184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2765184","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309065","display_name":"Analog Devices","ror":"https://ror.org/01545pm61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W63631771","https://openalex.org/W1481460540","https://openalex.org/W1575739010","https://openalex.org/W1994743536","https://openalex.org/W2037557484","https://openalex.org/W2130713707","https://openalex.org/W2550927922","https://openalex.org/W2623584266"],"related_works":["https://openalex.org/W2390348052","https://openalex.org/W2065566231","https://openalex.org/W2390600871","https://openalex.org/W2363399630","https://openalex.org/W2148867666","https://openalex.org/W2074772664","https://openalex.org/W2319687164","https://openalex.org/W2379188611","https://openalex.org/W2378332951","https://openalex.org/W2984139344"],"abstract_inverted_index":{"The":[0,31,178],"emerging":[1],"need":[2],"for":[3,22,33,106,148,162],"the":[4,20,27,48,59,87,92,107,114,121,190],"current":[5],"medical":[6,150,167],"devices":[7],"to":[8,46,54,90],"achieve":[9],"immediate":[10],"visualization":[11],"and":[12,64,99,110,139,169,204],"performing":[13],"diagnostic":[14],"imaging":[15,63,95],"at":[16,86],"real":[17],"time":[18],"augurs":[19],"demand":[21,32],"high":[23,36],"computational":[24,37,151,208],"power":[25],"of":[26,61,72,113,120,165,172,176,207],"associated":[28],"electronic":[29],"circuitry.":[30],"such":[34],"a":[35,55,69,79,124,128],"requirement":[38,142],"is":[39,51,97,104,194],"often":[40],"met":[41],"by":[42],"using":[43,73],"software":[44],"methods":[45],"accelerate":[47,91],"computation,":[49],"which":[50],"possible":[52],"only":[53],"certain":[56],"extent,":[57],"impairing":[58],"feasibility":[60,108],"real-time":[62],"diagnosis.":[65],"In":[66],"this":[67,198],"paper,":[68],"new":[70],"method":[71,199],"digital":[74],"signal":[75],"processors":[76],"(DSPs)":[77],"with":[78,133,182],"specialized":[80],"pipelined":[81],"vision":[82],"processor":[83],"(PVP)":[84],"embedded":[85],"hardware":[88],"level":[89],"routinely":[93],"time-consuming":[94],"computation":[96],"proposed":[98,115],"validated.":[100],"A":[101],"lab":[102],"prototype":[103],"built":[105],"study":[109],"clinical":[111],"validation":[112],"technique.":[116],"This":[117],"unique":[118],"architecture":[119,147],"PVP":[122],"in":[123],"dual-core":[125],"DSP":[126],"offers":[127],"high-performance":[129],"accelerated":[130],"framework":[131],"along":[132],"its":[134],"large":[135],"on-chip":[136],"memory":[137],"resources,":[138],"reduced":[140],"bandwidth":[141],"provides":[143],"as":[144],"an":[145],"ideal":[146],"reliable":[149],"needs.":[152],"We":[153],"have":[154],"taken":[155],"two":[156],"sets":[157],"sample":[158],"studies":[159],"from":[160],"SPECT":[161],"validation-27":[163],"cases":[164,171],"thyroid":[166],"history":[168],"20":[170],"glomerular":[173],"filtration":[174],"rate":[175],"kidneys.":[177],"results":[179],"were":[180],"compared":[181],"definitive":[183],"post-scan":[184],"SIEMENS":[185],"image":[186],"analysis":[187],"software.":[188],"From":[189],"statistical":[191],"results,":[192],"it":[193],"clearly":[195],"shown":[196],"that":[197],"achieved":[200],"very":[201],"superior":[202],"accuracy":[203],"250%":[205],"acceleration":[206],"speed.":[209]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
