{"id":"https://openalex.org/W2791077596","doi":"https://doi.org/10.1117/12.2297644","title":"Fusing acoustic and optical sensing for needle tracking with ultrasound","display_name":"Fusing acoustic and optical sensing for needle tracking with ultrasound","publication_year":2018,"publication_date":"2018-03-13","ids":{"openalex":"https://openalex.org/W2791077596","doi":"https://doi.org/10.1117/12.2297644","mag":"2791077596"},"language":"en","primary_location":{"id":"doi:10.1117/12.2297644","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2297644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101440263","display_name":"Bofeng Zhang","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":"Bofeng Zhang","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110910137","display_name":"P Y Oh","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":"Philip Oh","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333538","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-9582-922X"},"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":"Alexis Cheng","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061883300","display_name":"Emad M. Boctor","orcid":"https://orcid.org/0000-0002-9536-6720"},"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":"Emad M. Boctor","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.5183,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53021134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"3750","issue":null,"first_page":"79","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9986000061035156,"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/T10868","display_name":"Soft Robotics and Applications","score":0.9986000061035156,"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9958999752998352,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9929999709129333,"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/transducer","display_name":"Transducer","score":0.7097821235656738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655204176902771},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5511267185211182},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.5041733980178833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5029117465019226},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.5009150505065918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49933409690856934},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48202383518218994},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.470964252948761},{"id":"https://openalex.org/keywords/piezoelectricity","display_name":"Piezoelectricity","score":0.4504486322402954},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.44741857051849365},{"id":"https://openalex.org/keywords/piezoelectric-sensor","display_name":"Piezoelectric sensor","score":0.43166419863700867},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4118346571922302},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1969863772392273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17141196131706238},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12297052145004272}],"concepts":[{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.7097821235656738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655204176902771},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5511267185211182},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.5041733980178833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5029117465019226},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.5009150505065918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49933409690856934},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48202383518218994},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.470964252948761},{"id":"https://openalex.org/C100082104","wikidata":"https://www.wikidata.org/wiki/Q183759","display_name":"Piezoelectricity","level":2,"score":0.4504486322402954},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.44741857051849365},{"id":"https://openalex.org/C173677008","wikidata":"https://www.wikidata.org/wiki/Q2094637","display_name":"Piezoelectric sensor","level":3,"score":0.43166419863700867},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4118346571922302},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1969863772392273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17141196131706238},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12297052145004272},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2297644","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2297644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4000000059604645,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1495908281","https://openalex.org/W1987164933","https://openalex.org/W2054650032","https://openalex.org/W2081390546","https://openalex.org/W2095905764","https://openalex.org/W2126201524","https://openalex.org/W2740960038","https://openalex.org/W6629499879"],"related_works":["https://openalex.org/W2056122069","https://openalex.org/W2068961688","https://openalex.org/W4281676937","https://openalex.org/W2362248709","https://openalex.org/W2036762417","https://openalex.org/W2487217422","https://openalex.org/W2381455125","https://openalex.org/W2020488292","https://openalex.org/W2377696596","https://openalex.org/W4309462091"],"abstract_inverted_index":{"Needles":[0],"are":[1,84],"used":[2],"in":[3,22,155,177,210],"many":[4],"surgical":[5,45],"procedures":[6],"such":[7],"as":[8,47,49],"drug":[9],"delivery":[10],"or":[11],"needle":[12,34,58],"biopsies.":[13],"One":[14],"of":[15,28,32,43,76,95,104,149,179,195],"the":[16,26,29,33,36,44,77,81,93,96,123,131,135,147,150,162],"key":[17],"challenges":[18],"when":[19],"using":[20,138],"needles":[21],"these":[23,101],"interventions":[24],"is":[25],"placement":[27],"needle.":[30],"Placement":[31],"at":[35,64],"goal":[37],"position":[38,94],"will":[39,204],"ensure":[40],"proper":[41],"execution":[42],"plan":[46],"well":[48],"avoid":[50],"possible":[51],"complications.":[52],"This":[53],"work":[54,203],"explores":[55],"tracking":[56],"a":[57,60,72,118,156,188],"with":[59,67,161],"piezoelectric":[61,97,124,151],"sensor":[62,98,105,112,125],"embedded":[63],"its":[65],"tip":[66],"an":[68,139],"ultrasound":[69,78,140],"transducer":[70,79],"and":[71,80,181,192,199,216],"mono-camera.":[73],"While":[74],"each":[75,111],"monocamera":[82],"sensors":[83,137],"insufficient":[85],"on":[86,121,206],"their":[87],"own,":[88],"one":[89,143],"can":[90,113,144],"uniquely":[91,145],"locate":[92],"by":[99],"combining":[100,130],"two":[102,136],"sources":[103],"information":[106,109],"together.":[107],"The":[108,183],"from":[110,134],"be":[114],"processed":[115],"to":[116,166],"determine":[117,146],"geometrical":[119,132],"locus":[120],"which":[122],"must":[126],"lie.":[127],"By":[128],"spatially":[129],"loci":[133],"calibration":[141],"process,":[142],"location":[148],"sensor.":[152],"An":[153,172],"experiment":[154],"water":[157],"tank":[158],"was":[159],"conducted":[160],"computed":[163],"results":[164],"compared":[165],"ground":[167],"truth":[168],"cartesian":[169],"stage":[170],"data.":[171],"in-plane":[173],"accuracy":[174,185],"measure":[175,186],"resulted":[176],"errors":[178],"0.63mm":[180],"0.18mm.":[182],"relative":[184],"had":[187],"minimum,":[189],"maximum,":[190],"mean,":[191],"standard":[193],"deviation":[194],"0.02mm,":[196],"2.15mm,":[197],"0.61mm,":[198],"0.61mm":[200],"respectively.":[201],"Future":[202],"focus":[205],"demonstrating":[207],"this":[208],"method":[209],"more":[211],"realistic":[212],"ex":[213],"vivo":[214],"scenarios":[215],"explore":[217],"whether":[218],"our":[219],"listed":[220],"assumptions":[221],"hold.":[222]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
