{"id":"https://openalex.org/W2004448591","doi":"https://doi.org/10.1109/isbi.2012.6235849","title":"Textural mutual information based on cluster trees for multimodal deformable registration","display_name":"Textural mutual information based on cluster trees for multimodal deformable registration","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2004448591","doi":"https://doi.org/10.1109/isbi.2012.6235849","mag":"2004448591"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE 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/A5064304390","display_name":"Mattias P. Heinrich\u202c","orcid":"https://orcid.org/0000-0002-7489-1972"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mattias P. Heinrich","raw_affiliation_strings":["Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK","Institute of Biomedical Engineering Department of Engineering Science, University of Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Institute of Biomedical Engineering Department of Engineering Science, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004220534","display_name":"Mark Jenkinson","orcid":"https://orcid.org/0000-0001-6043-0166"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210101881","display_name":"Wellcome Centre for Integrative Neuroimaging","ror":"https://ror.org/0172mzb45","country_code":"GB","type":"facility","lineage":["https://openalex.org/I40120149","https://openalex.org/I4210101881","https://openalex.org/I87048295"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Jenkinson","raw_affiliation_strings":["Oxford University Centre for Functional MRI of the Brain, UK","[Oxford University Centre for Functional MRI of the Brain, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oxford University Centre for Functional MRI of the Brain, UK","institution_ids":["https://openalex.org/I4210101881","https://openalex.org/I40120149"]},{"raw_affiliation_string":"[Oxford University Centre for Functional MRI of the Brain, UK]","institution_ids":["https://openalex.org/I4210101881","https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111893231","display_name":"Sir Michael Brady","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sir Michael Brady","raw_affiliation_strings":["Department of Oncology, University of Oxford, UK","Department of Oncology, University of Oxford UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Oncology, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Oncology, University of Oxford UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019012882","display_name":"Julia A. Schnabel","orcid":"https://orcid.org/0000-0001-6107-3009"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Julia A. Schnabel","raw_affiliation_strings":["Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK","Institute of Biomedical Engineering Department of Engineering Science, University of Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Institute of Biomedical Engineering Department of Engineering Science, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3979","issue":null,"first_page":"1471","last_page":"1474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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":0.9962999820709229,"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/mutual-information","display_name":"Mutual information","score":0.871216356754303},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7086189389228821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6972224712371826},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6772526502609253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6292087435722351},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6015000343322754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5296447277069092},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5020260810852051},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.47877275943756104},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.46461808681488037},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43259280920028687},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.431117981672287},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4148460626602173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40596750378608704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.328723669052124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27971628308296204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.251613587141037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19029784202575684},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.18874779343605042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18792518973350525}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.871216356754303},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7086189389228821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6972224712371826},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6772526502609253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292087435722351},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6015000343322754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5296447277069092},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5020260810852051},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47877275943756104},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.46461808681488037},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43259280920028687},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.431117981672287},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4148460626602173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40596750378608704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.328723669052124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27971628308296204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.251613587141037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19029784202575684},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.18874779343605042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18792518973350525},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2012.6235849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/5a3edd0b-0f3b-49ca-a3e1-8aac09f7c170","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=84864843318&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Heinrich , M P , Jenkinson , M , Brady , S M &amp; Schnabel , J A 2012 , Textural mutual information based on cluster trees for multimodal deformable registration . in Proceedings - International Symposium on Biomedical Imaging . , 6235849 , pp. 1471-1474 , 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 , Barcelona , Spain , 2/05/2012 . https://doi.org/10.1109/ISBI.2012.6235849","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:4eee3001-2b49-4e21-b866-c47341dfd194","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:4eee3001-2b49-4e21-b866-c47341dfd194","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements at Oxford","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4550054493","display_name":null,"funder_award_id":"EP/H050892/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1582749214","https://openalex.org/W1874027545","https://openalex.org/W1980114101","https://openalex.org/W2034432063","https://openalex.org/W2048128066","https://openalex.org/W2065319605","https://openalex.org/W2113827609","https://openalex.org/W2129941787","https://openalex.org/W2129976136","https://openalex.org/W2135699751","https://openalex.org/W2143667750","https://openalex.org/W2147905083","https://openalex.org/W2156875677","https://openalex.org/W2165428671","https://openalex.org/W2165949176","https://openalex.org/W2171555960","https://openalex.org/W2400328056","https://openalex.org/W6634599066","https://openalex.org/W6645697311","https://openalex.org/W6683751579","https://openalex.org/W6685435063","https://openalex.org/W6712657653"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2548524143","https://openalex.org/W195918318","https://openalex.org/W73923811"],"abstract_inverted_index":{"Mutual":[0],"information":[1,58,81],"(MI)":[2],"has":[3],"been":[4],"widely":[5,24],"used":[6,25,104],"in":[7,64],"image":[8,16],"analysis":[9],"tasks":[10],"such":[11],"as":[12],"feature":[13],"selection":[14],"and":[15],"registration.":[17],"In":[18],"particular,":[19],"it":[20,43],"is":[21,41,114],"the":[22,47,72,83,90,96,100,128,141],"most":[23],"similarity":[26,112],"measure":[27],"for":[28],"intensity":[29],"based":[30],"registration":[31,129],"of":[32,39,55,61,67,74,86,92,102,130,143],"multimodal":[33],"images.":[34],"However,":[35],"a":[36,65,87,117],"major":[37],"drawback":[38],"MI":[40],"that":[42],"does":[44],"not":[45],"take":[46],"spatial":[48,57],"neighbourhood":[49,85],"into":[50,89],"account.":[51],"An":[52],"effective":[53],"way":[54],"incorporating":[56],"could":[59],"be":[60],"great":[62],"benefit":[63],"number":[66,101],"challenging":[68],"applications.":[69],"We":[70,122],"propose":[71],"use":[73],"cluster":[75],"trees":[76],"to":[77,105,127,147],"efficiently":[78],"incorporate":[79],"textural":[80],"from":[82],"local":[84],"voxel":[88],"computation":[91],"MI,":[93],"while":[94],"at":[95],"same":[97],"time":[98],"limiting":[99],"bins":[103],"represent":[106],"this":[107,144],"higher-order":[108],"information.":[109,150],"This":[110],"new":[111,125],"metric":[113],"optimised":[115],"using":[116],"Markov":[118],"random":[119],"field":[120],"(MRF).":[121],"apply":[123],"our":[124],"method":[126],"dynamic":[131],"lung":[132],"CT":[133],"volumes":[134],"with":[135],"simulated":[136],"contrast.":[137],"Experimental":[138],"results":[139],"show":[140],"advantages":[142],"technique":[145],"compared":[146],"standard":[148],"mutual":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
