{"id":"https://openalex.org/W3207055675","doi":"https://doi.org/10.1109/icra48506.2021.9561975","title":"Toward intraoperative endomicroscopy with a GPU-accelerated deformable video mosaicking algorithm","display_name":"Toward intraoperative endomicroscopy with a GPU-accelerated deformable video mosaicking algorithm","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3207055675","doi":"https://doi.org/10.1109/icra48506.2021.9561975","mag":"3207055675"},"language":"en","primary_location":{"id":"doi:10.1109/icra48506.2021.9561975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","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/A5068790322","display_name":"Lun Gong","orcid":"https://orcid.org/0000-0002-4538-5376"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Gong","raw_affiliation_strings":["Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086477021","display_name":"Siyang Zuo","orcid":"https://orcid.org/0000-0003-4257-7978"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyang Zuo","raw_affiliation_strings":["Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37788637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"14220","last_page":"14226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965000152587891,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9901000261306763,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7434054613113403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253483533859253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.708025336265564},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6884710788726807},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6640845537185669},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6129372715950012},{"id":"https://openalex.org/keywords/endomicroscopy","display_name":"Endomicroscopy","score":0.5531625747680664},{"id":"https://openalex.org/keywords/confocal","display_name":"Confocal","score":0.2153065800666809},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20044150948524475},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12302112579345703}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7434054613113403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253483533859253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708025336265564},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6884710788726807},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6640845537185669},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6129372715950012},{"id":"https://openalex.org/C17480853","wikidata":"https://www.wikidata.org/wiki/Q5376368","display_name":"Endomicroscopy","level":3,"score":0.5531625747680664},{"id":"https://openalex.org/C136009344","wikidata":"https://www.wikidata.org/wiki/Q336201","display_name":"Confocal","level":2,"score":0.2153065800666809},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20044150948524475},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12302112579345703},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48506.2021.9561975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W175072539","https://openalex.org/W1996194886","https://openalex.org/W2007775296","https://openalex.org/W2026509607","https://openalex.org/W2051338634","https://openalex.org/W2057566592","https://openalex.org/W2059106843","https://openalex.org/W2061580887","https://openalex.org/W2070320416","https://openalex.org/W2098217843","https://openalex.org/W2126096420","https://openalex.org/W2127643825","https://openalex.org/W2128884071","https://openalex.org/W2133010414","https://openalex.org/W2163806380","https://openalex.org/W2411246158","https://openalex.org/W2610460852","https://openalex.org/W2743837292","https://openalex.org/W2752043212","https://openalex.org/W2803275510","https://openalex.org/W2887951237","https://openalex.org/W2898343227","https://openalex.org/W2963191651","https://openalex.org/W2963764717","https://openalex.org/W2997720601","https://openalex.org/W3042086908","https://openalex.org/W6665986795"],"related_works":["https://openalex.org/W3093776189","https://openalex.org/W2085523657","https://openalex.org/W4248767102","https://openalex.org/W2788050109","https://openalex.org/W4353062772","https://openalex.org/W2071932035","https://openalex.org/W2158105767","https://openalex.org/W2142466746","https://openalex.org/W3162574263","https://openalex.org/W2134736911"],"abstract_inverted_index":{"Due":[0],"to":[1,18,37,99,102,126,197],"the":[2,8,83,91,94,104,117,139,144,155,159,173,191],"limited":[3],"field":[4],"of":[5,67,85,93,106,119,143,158,176],"view":[6],"(FOV),":[7],"probe-based":[9],"confocal":[10],"laser":[11],"endomicroscopy":[12],"(pCLE)":[13],"imaging":[14,179],"system":[15],"remains":[16],"challenging":[17],"be":[19],"widely":[20],"used":[21],"in":[22,147],"clinic.":[23],"Existing":[24],"video":[25],"mosaicking":[26,49,128,141,202],"approaches":[27],"are":[28],"usually":[29],"troubled":[30],"by":[31],"poor":[32],"real-time":[33],"capability":[34],"and":[35,40,58,76,135,188,200],"sensitivity":[36],"tissue":[38,60,133,137],"deformations":[39],"intensity":[41,77],"fluctuations.":[42],"In":[43],"this":[44,148],"paper,":[45],"a":[46,110],"novel":[47],"pCLE":[48,86,178],"algorithm":[50,193],"that":[51,114,154],"simultaneously":[52],"implements":[53],"rigid":[54],"probe":[55],"motion":[56],"tracking":[57],"inter-frame":[59],"deformation":[61],"correction":[62],"is":[63,80,124,151],"proposed.":[64],"The":[65],"sum":[66],"conditional":[68],"variance":[69],"(SCV)":[70],"metric":[71,96],"with":[72,97,172],"low":[73],"calculational":[74],"complexity":[75],"variation":[78],"invariance":[79],"embedded":[81],"into":[82],"reconstruction":[84],"mosaics.":[87],"We":[88],"also":[89,152],"deduce":[90],"derivatives":[92],"SCV":[95],"respect":[98],"transformation":[100],"variables":[101],"enhance":[103],"robustness":[105],"numerical":[107],"solutions.":[108],"Moreover,":[109],"parallel":[111],"acceleration":[112],"mechanism":[113],"maximally":[115],"exploits":[116],"resources":[118],"graphics":[120],"processing":[121],"unit":[122],"(GPU)":[123],"designed":[125],"boost":[127],"efficiency.":[129],"Experiments":[130],"on":[131],"lens":[132],"paper":[134],"swine":[136],"highlight":[138],"excellent":[140],"accuracy":[142],"proposed":[145,160,192],"method":[146,161],"field.":[149],"It":[150],"verified":[153],"mosaic-king":[156],"rate":[157,175],"exceeds":[162],"14":[163],"frames":[164],"per":[165],"second":[166],"(fps),":[167],"which":[168],"can":[169],"keep":[170],"up":[171],"acquisition":[174],"most":[177],"systems":[180],"(8":[181],"fps~12":[182],"fps).":[183],"Benefiting":[184],"from":[185],"finer":[186],"mosaics":[187],"faster":[189],"speed,":[190],"has":[194],"high":[195],"potential":[196],"achieve":[198],"large":[199],"accurate":[201],"for":[203],"intraoperative":[204],"endomicroscopy.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
