{"id":"https://openalex.org/W1987779657","doi":"https://doi.org/10.1109/i2mtc.2014.6860807","title":"Real-time ultrasonic imaging for multi-layered objects with synthetic aperture focusing technique","display_name":"Real-time ultrasonic imaging for multi-layered objects with synthetic aperture focusing technique","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1987779657","doi":"https://doi.org/10.1109/i2mtc.2014.6860807","mag":"1987779657"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2014.6860807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2014.6860807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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/A5101666826","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0002-9626-4080"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Yang","raw_affiliation_strings":["Tsinghua University, Beijing, Beijing, CN","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023893248","display_name":"Kaihuai Qin","orcid":"https://orcid.org/0000-0001-8902-142X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihuai Qin","raw_affiliation_strings":["Tsinghua University, Beijing, Beijing, CN","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102705813","display_name":"Yazhe Li","orcid":"https://orcid.org/0000-0002-8294-7630"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhe Li","raw_affiliation_strings":["Tsinghua University, Beijing, Beijing, CN","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101666826"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.6336,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.71720456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"561","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9991999864578247,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.7999299764633179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054013013839722},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5992533564567566},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.5874215364456177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5464786291122437},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5286094546318054},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.50052809715271},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.49241936206817627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43350526690483093},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4242752492427826},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3900442123413086},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2757869362831116},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.24942317605018616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18902909755706787},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08501794934272766}],"concepts":[{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.7999299764633179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054013013839722},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5992533564567566},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.5874215364456177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5464786291122437},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5286094546318054},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.50052809715271},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.49241936206817627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43350526690483093},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4242752492427826},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3900442123413086},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2757869362831116},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.24942317605018616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18902909755706787},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08501794934272766},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2014.6860807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2014.6860807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1967360866","https://openalex.org/W1997678737","https://openalex.org/W2003426639","https://openalex.org/W2023918190","https://openalex.org/W2034273209","https://openalex.org/W2051819872","https://openalex.org/W2055902860","https://openalex.org/W2057593929","https://openalex.org/W2073826698","https://openalex.org/W2081219380","https://openalex.org/W2093117248","https://openalex.org/W2130753348","https://openalex.org/W2142926772","https://openalex.org/W2144560089","https://openalex.org/W2159914506","https://openalex.org/W3211071089"],"related_works":["https://openalex.org/W3062287","https://openalex.org/W2380390332","https://openalex.org/W2742145873","https://openalex.org/W4245975140","https://openalex.org/W2062253548","https://openalex.org/W4225414539","https://openalex.org/W4289522463","https://openalex.org/W2043557177","https://openalex.org/W2375861640","https://openalex.org/W2349351862"],"abstract_inverted_index":{"In":[0],"this":[1,57],"paper,":[2],"an":[3],"ultrasonic":[4,11,51,66,78,94,131],"motion":[5,67,85],"trajectory":[6,68,86],"method":[7,58,87,113,127],"is":[8,59,70,88],"introduced":[9],"for":[10,61,93],"imaging":[12,95,132],"of":[13,31,96,134,140],"multi-layered":[14,97],"objects,":[15],"based":[16],"on":[17],"re-interpreting":[18],"the":[19,45,49,83,89,100,106,111,130,146],"traditional":[20,50,112,147],"SAFT":[21,40,52],"in":[22,36,39,48],"a":[23,64],"forward":[24],"pattern.":[25],"It":[26],"adopts":[27],"scan":[28],"conversion":[29],"approaches":[30],"lines":[32],"and":[33,110],"circles":[34],"developed":[35],"raster":[37],"graphics":[38],"so":[41],"as":[42,105],"to":[43,75],"avoid":[44],"iterative":[46],"computations":[47],"with":[53,73,121,142],"ray":[54,122],"tracing.":[55],"Since":[56],"suitable":[60],"parallel":[62],"implementation,":[63],"GPU-accelerated":[65],"algorithm":[69],"also":[71],"implemented":[72],"CUDA":[74],"achieve":[76],"real-time":[77],"imaging.":[79],"Experiments":[80],"show":[81],"that":[82,114],"presented":[84],"most":[90],"efficient":[91],"approach":[92],"objects":[98,136],"among":[99],"existing":[101],"reconstruction":[102],"techniques,":[103],"such":[104],"phase":[107],"shift":[108],"migration":[109],"combines":[115],"synthetic":[116],"aperture":[117],"focusing":[118],"technique":[119],"(SAFT)":[120],"tracing":[123],"techniques.":[124],"This":[125],"new":[126],"speeds":[128],"up":[129],"procedure":[133],"multi-layer":[135],"by":[137],"two":[138],"orders":[139],"magnitude":[141],"better":[143],"effects":[144],"than":[145],"method.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
