{"id":"https://openalex.org/W4312096555","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980024","title":"Development of Liver Virtual Surgery Software Based on SPECT Images","display_name":"Development of Liver Virtual Surgery Software Based on SPECT Images","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4312096555","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9980024"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei56279.2022.9980024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980024","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5051726272","display_name":"Sijiao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sijiao Yu","raw_affiliation_strings":["School of Automation and Electeical Engineering, University of Science and Technology Beijing,Beijing,China","School of Automation and Electeical Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electeical Engineering, University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"School of Automation and Electeical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101787357","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0002-2986-8239"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sun","raw_affiliation_strings":["School of Automation and Electeical Engineering, University of Science and Technology Beijing,Beijing,China","School of Automation and Electeical Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electeical Engineering, University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"School of Automation and Electeical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041708136","display_name":"Qingyang Wei","orcid":"https://orcid.org/0000-0002-7450-5066"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyang Wei","raw_affiliation_strings":["School of Automation and Electeical Engineering, University of Science and Technology Beijing,Beijing,China","School of Automation and Electeical Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electeical Engineering, University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"School of Automation and Electeical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051726272"],"corresponding_institution_ids":["https://openalex.org/I78675632","https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.2235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48854962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9779000282287598,"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/computer-science","display_name":"Computer science","score":0.5139124393463135},{"id":"https://openalex.org/keywords/single-photon-emission-computed-tomography","display_name":"Single-photon emission computed tomography","score":0.48616525530815125},{"id":"https://openalex.org/keywords/liver-function","display_name":"Liver function","score":0.4775218069553375},{"id":"https://openalex.org/keywords/spect-imaging","display_name":"Spect imaging","score":0.4673495888710022},{"id":"https://openalex.org/keywords/dicom","display_name":"DICOM","score":0.4464706778526306},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.360242635011673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33450940251350403},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3268217444419861},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2954680919647217},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08586207032203674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5139124393463135},{"id":"https://openalex.org/C2780441642","wikidata":"https://www.wikidata.org/wiki/Q849737","display_name":"Single-photon emission computed tomography","level":2,"score":0.48616525530815125},{"id":"https://openalex.org/C2992208098","wikidata":"https://www.wikidata.org/wiki/Q1359801","display_name":"Liver function","level":2,"score":0.4775218069553375},{"id":"https://openalex.org/C2984398910","wikidata":"https://www.wikidata.org/wiki/Q849737","display_name":"Spect imaging","level":2,"score":0.4673495888710022},{"id":"https://openalex.org/C77331912","wikidata":"https://www.wikidata.org/wiki/Q81095","display_name":"DICOM","level":2,"score":0.4464706778526306},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.360242635011673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33450940251350403},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3268217444419861},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2954680919647217},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08586207032203674}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei56279.2022.9980024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9980024","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3349282387","display_name":null,"funder_award_id":"11975044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6009844636","display_name":null,"funder_award_id":"FRF-TP-19-019A3","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W95866195","https://openalex.org/W1551383822","https://openalex.org/W1567882028","https://openalex.org/W1989665405","https://openalex.org/W1999421854","https://openalex.org/W2084483576","https://openalex.org/W2347263968","https://openalex.org/W2352085438","https://openalex.org/W2604212570","https://openalex.org/W2754665405","https://openalex.org/W6704949727"],"related_works":["https://openalex.org/W1969670938","https://openalex.org/W171655601","https://openalex.org/W2225942053","https://openalex.org/W2553353535","https://openalex.org/W2129750043","https://openalex.org/W2126616257","https://openalex.org/W34131642","https://openalex.org/W2035540021","https://openalex.org/W2130226442","https://openalex.org/W2416470973"],"abstract_inverted_index":{"Surgical":[0],"resection":[1],"is":[2,36,54,81,135,157,171],"an":[3,100],"effective":[4,101],"method":[5,102],"treat":[6],"liver":[7,12,23,43,83,105,109,124,169,207,215],"cancer.":[8],"Unfortunately,":[9],"patients":[10],"with":[11,137,195],"cancer":[13],"usually":[14],"have":[15],"large":[16],"tumor":[17],"volumes":[18],"and":[19,64,69,146,163,211],"varying":[20],"degrees":[21],"of":[22,66,167],"damage,":[24],"which":[25],"will":[26],"affect":[27],"their":[28,32],"ability":[29],"to":[30,39,88,98,103,117,173,193,203,218],"regenerate":[31],"liver.":[33],"Therefore,":[34],"it":[35],"particularly":[37],"important":[38],"evaluate":[40],"the":[41,89,147,160,164,168,183,190,196,220],"patient's":[42],"reserve":[44],"function":[45,216],"before":[46],"surgery.":[47],"Single":[48],"photon":[49],"emission":[50],"computed":[51],"tomography":[52],"(SPECT)":[53],"a":[55,82,123],"radionuclide":[56],"imaging":[57,94],"technique":[58,156],"that":[59,86],"realizes":[60],"precise":[61],"anatomical":[62],"localization":[63],"observation":[65],"physiological,":[67],"biochemical":[68],"pathological":[70],"processes.":[71],"Technetium-99m":[72],"diethylenetriamine":[73],"pentaacetic":[74],"acid":[75],"galactosyl":[76],"human":[77],"serum":[78],"albumin":[79],"(99mTc-GSA)":[80],"scintigraphy":[84],"agent":[85],"binds":[87],"asialoglycoprotein":[90],"receptor.":[91],"99mTc-GSA":[92,130],"SPECT":[93,131,208],"has":[95],"been":[96],"proven":[97],"be":[99,187,201],"assess":[104],"function.":[106],"However,":[107],"few":[108],"virtual":[110,125,209],"surgery":[111,126,210],"software":[112,127,150],"systems":[113],"are":[114],"currently":[115],"adapted":[116],"this":[118],"approach.":[119],"This":[120,133],"paper":[121],"develops":[122],"based":[128],"on":[129],"images.":[132],"system":[134,199],"developed":[136],"Microsoft":[138],"Visual":[139],"Studio":[140],"2017,":[141],"C++,":[142],"Visualisation":[143],"Toolkit":[144],"(VTK),":[145],"Open":[148],"VR":[149,191],"development":[151],"kit.":[152],"The":[153,198],"volume":[154,179],"rendering":[155],"adopted":[158],"complete":[159],"model":[161,170,184],"reconstruction,":[162],"cutting":[165,178,205],"algorithm":[166],"used":[172],"achieve":[174],"arbitrary":[175],"closed":[176],"polygon":[177],"data.":[180],"In":[181],"addition,":[182],"also":[185,212],"can":[186,200],"visualized":[188],"in":[189],"scene":[192],"interact":[194],"controller.":[197],"applied":[202],"simulate":[204],"for":[206,213],"preoperative":[214],"assessment":[217],"reduce":[219],"surgical":[221],"risks.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}