{"id":"https://openalex.org/W1595337542","doi":"https://doi.org/10.1109/isbi.2015.7164001","title":"Random walker image registration with inverse consistency","display_name":"Random walker image registration with inverse consistency","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1595337542","doi":"https://doi.org/10.1109/isbi.2015.7164001","mag":"1595337542"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7164001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7164001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","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/A5071527352","display_name":"Lisa Tang","orcid":"https://orcid.org/0000-0003-2545-8440"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lisa Y. W. Tang","raw_affiliation_strings":["Medical Image Analysis Lab, Simon Fraser University, Canada","Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image Analysis Lab, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada#TAB#","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059149646","display_name":"Shawn Andrews","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shawn Andrews","raw_affiliation_strings":["Medical Image Analysis Lab, Simon Fraser University, Canada","Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image Analysis Lab, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada#TAB#","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072684302","display_name":"Ghassan Hamarneh","orcid":"https://orcid.org/0000-0001-5040-7448"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ghassan Hamarneh","raw_affiliation_strings":["Medical Image Analysis Lab, Simon Fraser University, Canada","Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image Analysis Lab, Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada#TAB#","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39002416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8150","issue":null,"first_page":"837","last_page":"840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.7020359039306641},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6466042399406433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5940454006195068},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4962823987007141},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4907630383968353},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.45970189571380615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45097678899765015},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44787412881851196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4426310956478119},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4422226846218109},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4241669178009033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41154271364212036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3084298372268677},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28983965516090393}],"concepts":[{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.7020359039306641},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6466042399406433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5940454006195068},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4962823987007141},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4907630383968353},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.45970189571380615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45097678899765015},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44787412881851196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4426310956478119},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4422226846218109},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4241669178009033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41154271364212036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3084298372268677},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28983965516090393},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2015.7164001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7164001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.678.5341","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.678.5341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.sfu.ca/%7Ehamarneh/ecopy/isbi2015b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W18994745","https://openalex.org/W19125298","https://openalex.org/W39638318","https://openalex.org/W118997998","https://openalex.org/W1632456146","https://openalex.org/W1802125594","https://openalex.org/W1957456020","https://openalex.org/W1963484017","https://openalex.org/W1983592655","https://openalex.org/W1995813237","https://openalex.org/W2016974693","https://openalex.org/W2020308516","https://openalex.org/W2022849402","https://openalex.org/W2054902886","https://openalex.org/W2097184811","https://openalex.org/W2103857226","https://openalex.org/W2113854572","https://openalex.org/W2137272573","https://openalex.org/W2159605714","https://openalex.org/W2275448079","https://openalex.org/W6600750595","https://openalex.org/W6604864306","https://openalex.org/W6636744273","https://openalex.org/W6655296923","https://openalex.org/W6674856124","https://openalex.org/W6677132139"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2370289839","https://openalex.org/W2082716031","https://openalex.org/W2933494595","https://openalex.org/W4313347705","https://openalex.org/W1568049691","https://openalex.org/W2331917905","https://openalex.org/W3155039083"],"abstract_inverted_index":{"One":[0],"important":[1],"property":[2,14],"of":[3,92,128],"a":[4,33,74,79,90,102],"registration":[5,42],"solution":[6],"is":[7,15],"inverse":[8,48,126],"consistency.":[9,49],"While":[10],"often":[11],"overlooked,":[12],"this":[13,29],"critical":[16],"in":[17,78],"many":[18,53],"medical":[19],"applications,":[20],"including":[21],"radiation-therapy":[22],"treatment":[23],"planning":[24],"and":[25,64,88,111,117],"unbiased":[26],"atlas-construction.":[27],"In":[28,50],"paper,":[30],"we":[31,67],"propose":[32],"novel":[34],"extension":[35],"to":[36,45,52,138],"the":[37],"graph-based":[38],"random":[39],"walker":[40],"image":[41],"(RWIR)":[43],"algorithm":[44,142],"ensure":[46],"its":[47,135],"contrast":[51],"existing":[54],"inverse-consistent":[55],"algorithms,":[56],"where":[57],"two":[58],"bi-directional":[59],"transformations":[60,70,98],"are":[61,86,99],"independently":[62],"sought":[63],"subsequently":[65],"averaged,":[66],"calculate":[68],"both":[69,84,97],"simultaneously":[71],"by":[72],"performing":[73],"constrained":[75],"graph":[76],"labeling":[77],"common":[80],"domain":[81],"onto":[82],"which":[83],"images":[85,119],"mapped,":[87],"employ":[89],"set":[91],"coupled":[93],"labels":[94],"so":[95],"that":[96],"computed":[100],"within":[101],"single":[103],"optimization":[104],"step.":[105],"As":[106],"our":[107,121],"results":[108],"on":[109,143],"synthetic":[110],"real":[112],"problems":[113],"involving":[114],"cardiac,":[115],"thigh":[116],"brain":[118],"demonstrate,":[120],"method":[122],"not":[123],"only":[124],"improved":[125,134],"consistency":[127],"RWIR,":[129],"but":[130],"also":[131,146],"statistically":[132],"significantly":[133],"accuracy.":[136],"Comparison":[137],"another":[139],"state-of-the-art":[140],"symmetric":[141],"various":[144],"datasets":[145],"gave":[147],"highly":[148],"encouraging":[149],"results.":[150]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
