{"id":"https://openalex.org/W1964617110","doi":"https://doi.org/10.1109/bibm.2013.6732514","title":"Rigid registration of 3-D medical image using convex hull matching","display_name":"Rigid registration of 3-D medical image using convex hull matching","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1964617110","doi":"https://doi.org/10.1109/bibm.2013.6732514","mag":"1964617110"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2013.6732514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2013.6732514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Bioinformatics and Biomedicine","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/A5085936638","display_name":"Jingfan Fan","orcid":"https://orcid.org/0000-0003-4857-6490"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingfan Fan","raw_affiliation_strings":["Key Laboratory of Photo electronic Imaging Technology and System, Beijing Institute of Technology, Beijing, China","Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photo electronic Imaging Technology and System, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101416465","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-1097-2538"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Key Laboratory of Photo electronic Imaging Technology and System, Beijing Institute of Technology, Beijing, China","Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photo electronic Imaging Technology and System, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086157577","display_name":"Mahima Goyal","orcid":null},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahima Goyal","raw_affiliation_strings":["ASET, Amity University, Noida, India","ASET, Amity University Noida, India"],"affiliations":[{"raw_affiliation_string":"ASET, Amity University, Noida, India","institution_ids":["https://openalex.org/I191972202"]},{"raw_affiliation_string":"ASET, Amity University Noida, India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026250850","display_name":"Yongtian Wang","orcid":"https://orcid.org/0000-0001-9422-0888"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtian Wang","raw_affiliation_strings":["Key Laboratory of Photo electronic Imaging Technology and System, Beijing Institute of Technology, Beijing, China","Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Photo electronic Imaging Technology and System, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085936638"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":1.7324,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.857163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"338","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.8381803035736084},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.6076736450195312},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.596186101436615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5678158402442932},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5259047746658325},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.5205132365226746},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4746552109718323},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4606833755970001},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45868444442749023},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44475293159484863},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4327157139778137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4242146611213684},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4177241921424866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3920767605304718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36878857016563416},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.363961398601532},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3364877700805664},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.30627208948135376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3044046461582184},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15152159333229065}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8381803035736084},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.6076736450195312},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.596186101436615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5678158402442932},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5259047746658325},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.5205132365226746},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4746552109718323},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4606833755970001},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45868444442749023},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44475293159484863},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4327157139778137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4242146611213684},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4177241921424866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3920767605304718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36878857016563416},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.363961398601532},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3364877700805664},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.30627208948135376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3044046461582184},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15152159333229065},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2013.6732514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2013.6732514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Bioinformatics and Biomedicine","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":13,"referenced_works":["https://openalex.org/W1599434464","https://openalex.org/W1994104838","https://openalex.org/W2004312117","https://openalex.org/W2015901765","https://openalex.org/W2025062188","https://openalex.org/W2046617499","https://openalex.org/W2049981393","https://openalex.org/W2064499898","https://openalex.org/W2085261163","https://openalex.org/W2114467878","https://openalex.org/W4237162356","https://openalex.org/W4251391716","https://openalex.org/W6656866612"],"related_works":["https://openalex.org/W2535656339","https://openalex.org/W2076397591","https://openalex.org/W2047243114","https://openalex.org/W2967010159","https://openalex.org/W2098050829","https://openalex.org/W4210553842","https://openalex.org/W2042440885","https://openalex.org/W1669293561","https://openalex.org/W2738663454","https://openalex.org/W2784011081"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,221],"robust":[4],"approach":[5],"called":[6],"convex":[7,43,58],"hull":[8,44],"matching":[9,163],"(CHM)":[10],"technique":[11],"is":[12,45,74,132,148,220],"proposed":[13,177,218],"for":[14],"registration":[15],"of":[16,33,57,70,80,104,127,141,165,175,185,194],"medical":[17,35,225],"images":[18],"that":[19,158],"differ":[20],"from":[21,47],"each":[22,68,105],"other":[23,84],"with":[24,76,182,202],"Euclidean":[25],"transformation.":[26],"Firstly,":[27],"point":[28,49,85,130,168],"sets":[29,50,131],"on":[30,54,179],"the":[31,34,41,48,55,71,78,81,89,97,101,116,120,128,142,155,166,173,176,183,192,211,217],"surface":[32,56],"image":[36,226],"are":[37,60,112],"extracted,":[38],"and":[39,51,93,110,137,187,199,208],"then":[40],"3-D":[42],"constructed":[46],"triangle":[52,73,82,106,143],"patches":[53,144],"hulls":[59],"specified":[61],"by":[62,114,134,153,196],"predefining":[63],"their":[64],"normal":[65],"vectors.":[66],"Secondly,":[67],"edge":[69],"referenced":[72],"compared":[75],"all":[77],"edges":[79],"in":[83,224],"set":[86,92],"to":[87,95,161],"find":[88],"congruent":[90],"pair":[91],"also":[94],"obtain":[96],"scaling":[98],"factor.":[99],"Thereafter,":[100],"transformation":[102,126],"parameters":[103],"pairs":[107,157],"including":[108],"rotation":[109],"translation":[111],"optimized":[113],"minimizing":[115],"Euclidian":[117],"distance":[118],"between":[119],"corresponding":[121],"vertex":[122],"pairs.":[123],"Hence,":[124],"rigid":[125],"two":[129],"obtained":[133],"iteratively":[135],"enumerating":[136],"evaluating":[138],"similarity":[139],"measures":[140],"chosen.":[145],"Global":[146],"optimization":[147,152],"achieved":[149],"through":[150],"RANSAC":[151],"removing":[154],"correspondence":[156],"may":[159],"lead":[160],"large":[162],"errors":[164],"whole":[167],"sets.":[169],"The":[170,189],"experiments":[171,215],"evaluate":[172],"performance":[174],"algorithm":[178,219],"simulated":[180],"data":[181,214],"presence":[184],"outliers":[186],"noise.":[188],"results":[190],"show":[191],"efficiency":[193],"CHM":[195],"quantitative":[197],"analysis":[198],"comparative":[200],"study":[201],"existing":[203],"approaches":[204],"like":[205],"EM-ICP,":[206],"LM-ICP":[207],"4PCS.":[209],"Finally,":[210],"real":[212],"clinical":[213],"confirm":[216],"strong":[222],"performer":[223],"registration.":[227]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}