{"id":"https://openalex.org/W2088957401","doi":"https://doi.org/10.1109/isbi.2013.6556517","title":"Investigating anisotropic diffusion for the registration of abdominal MR images","display_name":"Investigating anisotropic diffusion for the registration of abdominal MR images","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2088957401","doi":"https://doi.org/10.1109/isbi.2013.6556517","mag":"2088957401"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3432768","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070986743","display_name":"Christine Tanner","orcid":"https://orcid.org/0000-0001-6541-2629"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Christine Tanner","raw_affiliation_strings":["Computer Vision Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","Computer Vision Lab, ETH Zurich, Z\u00fcrich, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Computer Vision Lab, ETH Zurich, Z\u00fcrich, Switzerland#TAB#","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023291938","display_name":"Golnoosh Samei","orcid":"https://orcid.org/0000-0001-8587-5807"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Golnoosh Samei","raw_affiliation_strings":["Computer Vision Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","Computer Vision Lab, ETH Zurich, Z\u00fcrich, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Computer Vision Lab, ETH Zurich, Z\u00fcrich, Switzerland#TAB#","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101830775","display_name":"G\u00e1bor Sz\u00e9kely","orcid":"https://orcid.org/0000-0002-6560-8530"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gabor Szekely","raw_affiliation_strings":["Computer Vision Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","Computer Vision Lab, ETH Zurich, Z\u00fcrich, Switzerland#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Computer Vision Lab, ETH Zurich, Z\u00fcrich, Switzerland#TAB#","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070986743"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":1.2907,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80378545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5867874026298523},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5819514989852905},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5387104749679565},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.5370228886604309},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.5199931263923645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4346431493759155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4290462136268616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42195045948028564},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2140691578388214},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18195757269859314},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.17875391244888306},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.17413842678070068},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16928327083587646},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16680923104286194}],"concepts":[{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5867874026298523},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5819514989852905},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5387104749679565},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.5370228886604309},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5199931263923645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4346431493759155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4290462136268616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42195045948028564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2140691578388214},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18195757269859314},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.17875391244888306},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.17413842678070068},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16928327083587646},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16680923104286194},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2013.6556517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:3432768","is_oa":true,"landing_page_url":"https://zenodo.org/record/3432768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3432768","is_oa":true,"landing_page_url":"https://zenodo.org/record/3432768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1449322692","https://openalex.org/W1554791705","https://openalex.org/W1596634960","https://openalex.org/W1888855091","https://openalex.org/W1960717653","https://openalex.org/W2018619095","https://openalex.org/W2032425783","https://openalex.org/W2045484730","https://openalex.org/W2073708032","https://openalex.org/W2079068683","https://openalex.org/W2126926806","https://openalex.org/W2150134853","https://openalex.org/W2156956645","https://openalex.org/W2157308394","https://openalex.org/W2168530812","https://openalex.org/W2545657068","https://openalex.org/W4294203171","https://openalex.org/W6628512970","https://openalex.org/W6635571675","https://openalex.org/W6639598948","https://openalex.org/W6641074299","https://openalex.org/W6842717787"],"related_works":["https://openalex.org/W2365492952","https://openalex.org/W27212783","https://openalex.org/W2076389328","https://openalex.org/W2112067436","https://openalex.org/W1768769760","https://openalex.org/W4292694493","https://openalex.org/W2413360119","https://openalex.org/W1486519939","https://openalex.org/W3186835510","https://openalex.org/W2157123855"],"abstract_inverted_index":{"Sliding":[0],"boundaries":[1,14],"are":[2,15],"a":[3],"challenge":[4],"when":[5],"registering":[6,44],"abdominal":[7,45],"images,":[8],"especially":[9],"for":[10,43],"MRI":[11],"where":[12],"the":[13,35,63,68,81,85],"not":[16],"clearly":[17],"visible.":[18],"Various":[19],"automatic":[20],"methods":[21,42],"have":[22],"been":[23,28],"proposed,":[24],"but":[25],"evaluation":[26],"has":[27],"insufficient.":[29],"In":[30],"this":[31,91],"study":[32],"we":[33],"assess":[34],"performance":[36],"of":[37,62],"several":[38],"anisotropic":[39],"diffusion":[40,88],"based":[41,54,79],"MR":[46],"images":[47],"undergoing":[48],"large":[49],"respiratory":[50],"motion.":[51],"Evaluation":[52],"was":[53],"on":[55,80],"manually":[56],"selected":[57],"landmarks":[58],"inside":[59],"and":[60,84],"outside":[61],"liver.":[64],"Symmetric":[65],"iLogDemons":[66],"reduced":[67,90],"mean":[69],"error":[70],"from":[71],"12.1":[72],"mm":[73],"to":[74,93],"3.8":[75],"mm.":[76,95],"Anisotropic":[77],"diffusion,":[78],"velocity":[82],"field":[83],"modified":[86],"curvature":[87],"equation,":[89],"further":[92],"3.4":[94]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}