{"id":"https://openalex.org/W1576478817","doi":"https://doi.org/10.1007/978-3-540-30135-6_84","title":"Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods","display_name":"Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1576478817","doi":"https://doi.org/10.1007/978-3-540-30135-6_84","mag":"1576478817"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-30135-6_84","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30135-6_84","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-30135-6_84.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-30135-6_84.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045596450","display_name":"Christophe Grova","orcid":"https://orcid.org/0000-0003-2775-9968"},"institutions":[{"id":"https://openalex.org/I1292859797","display_name":"Montreal Neurological Institute and Hospital","ror":"https://ror.org/05ghs6f64","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1292859797"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA","FR"],"is_corresponding":true,"raw_author_name":"Christophe Grova","raw_affiliation_strings":["Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes 1, France","Montreal Neurological Institute, McGill University, Montreal","McGill University","Universit\u00e9 de Rennes 1"],"affiliations":[{"raw_affiliation_string":"Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"Montreal Neurological Institute, McGill University, Montreal","institution_ids":["https://openalex.org/I1292859797","https://openalex.org/I5023651"]},{"raw_affiliation_string":"McGill University","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Universit\u00e9 de Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029098035","display_name":"Pierre Jannin","orcid":"https://orcid.org/0000-0002-7415-071X"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Jannin","raw_affiliation_strings":["Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes 1, France","Universit\u00e9 de Rennes 1"],"affiliations":[{"raw_affiliation_string":"Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"Universit\u00e9 de Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083883351","display_name":"Ir\u00e8ne Buvat","orcid":"https://orcid.org/0000-0002-7053-6471"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210121705","display_name":"Piti\u00e9-Salp\u00eatri\u00e8re Hospital","ror":"https://ror.org/02mh9a093","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210121705"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ir\u00e8ne Buvat","raw_affiliation_strings":["INSERM U494, CHU Piti\u00e9 Salp\u00e9tri\u00e8re, Paris","CHU Piti\u00e9 Salp\u00e9tri\u00e8re"],"affiliations":[{"raw_affiliation_string":"INSERM U494, CHU Piti\u00e9 Salp\u00e9tri\u00e8re, Paris","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"CHU Piti\u00e9 Salp\u00e9tri\u00e8re","institution_ids":["https://openalex.org/I4210121705","https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090830124","display_name":"Habib Benali","orcid":"https://orcid.org/0000-0001-7158-1218"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210121705","display_name":"Piti\u00e9-Salp\u00eatri\u00e8re Hospital","ror":"https://ror.org/02mh9a093","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210121705"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Habib Benali","raw_affiliation_strings":["INSERM U494, CHU Piti\u00e9 Salp\u00e9tri\u00e8re, Paris","CHU Piti\u00e9 Salp\u00e9tri\u00e8re"],"affiliations":[{"raw_affiliation_string":"INSERM U494, CHU Piti\u00e9 Salp\u00e9tri\u00e8re, Paris","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"CHU Piti\u00e9 Salp\u00e9tri\u00e8re","institution_ids":["https://openalex.org/I4210121705","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041375630","display_name":"Bernard Gibaud","orcid":"https://orcid.org/0000-0002-1772-4887"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bernard Gibaud","raw_affiliation_strings":["Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes 1, France","Universit\u00e9 de Rennes 1"],"affiliations":[{"raw_affiliation_string":"Laboratoire IDM, Facult\u00e9 de M\u00e9decine, Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"Universit\u00e9 de Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045596450"],"corresponding_institution_ids":["https://openalex.org/I1292859797","https://openalex.org/I5023651","https://openalex.org/I56067802"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":3.1958,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92691751,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"687","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"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":0.9973999857902527,"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":0.9884999990463257,"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/ictal-interictal-spect-analysis-by-spm","display_name":"Ictal-Interictal SPECT Analysis by SPM","score":0.8306248784065247},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.8035227060317993},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6302903294563293},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6049569845199585},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5926907658576965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5842975378036499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5318875908851624},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.4872535765171051},{"id":"https://openalex.org/keywords/correction-for-attenuation","display_name":"Correction for attenuation","score":0.4589667320251465},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.4401533901691437},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4274711608886719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40802106261253357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24643343687057495},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.19812023639678955},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1930626928806305},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.1509740948677063},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14162343740463257}],"concepts":[{"id":"https://openalex.org/C44608605","wikidata":"https://www.wikidata.org/wiki/Q16253695","display_name":"Ictal-Interictal SPECT Analysis by SPM","level":4,"score":0.8306248784065247},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.8035227060317993},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6302903294563293},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6049569845199585},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5926907658576965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842975378036499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5318875908851624},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.4872535765171051},{"id":"https://openalex.org/C123688308","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Correction for attenuation","level":3,"score":0.4589667320251465},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.4401533901691437},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4274711608886719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40802106261253357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24643343687057495},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.19812023639678955},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1930626928806305},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.1509740948677063},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14162343740463257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-30135-6_84","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30135-6_84","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-30135-6_84.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-540-30135-6_84","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30135-6_84","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-540-30135-6_84.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1576478817.pdf","grobid_xml":"https://content.openalex.org/works/W1576478817.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W76403182","https://openalex.org/W1558249818","https://openalex.org/W1606347451","https://openalex.org/W1870947790","https://openalex.org/W1974369017","https://openalex.org/W2006518354","https://openalex.org/W2034432063","https://openalex.org/W2034769236","https://openalex.org/W2077010356","https://openalex.org/W2084093280","https://openalex.org/W2105456967","https://openalex.org/W2112155856","https://openalex.org/W2120669622","https://openalex.org/W2129017861","https://openalex.org/W2488719231","https://openalex.org/W2494050007","https://openalex.org/W2525550428","https://openalex.org/W2533373484","https://openalex.org/W3089669417"],"related_works":["https://openalex.org/W2012044558","https://openalex.org/W1479869643","https://openalex.org/W1601962762","https://openalex.org/W119284398","https://openalex.org/W3189899427","https://openalex.org/W3155204199","https://openalex.org/W2205168583","https://openalex.org/W2253188260","https://openalex.org/W2886646808","https://openalex.org/W2805605272"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"evaluated":[4],"SPECT/MRI":[5,163],"registration":[6,13,20,58,62,84,93,104,143,164],"of":[7,50,61,148],"ictal":[8,29,98],"data,":[9,77],"using":[10,66,88],"similarity":[11,109,150],"based":[12,106],"methods.":[14],"An":[15],"absolute":[16],"gold":[17],"standard":[18],"for":[19,69,158],"evaluation":[21],"was":[22,63,82,86,133],"obtained":[23],"by":[24],"considering":[25],"realistic":[26],"normal":[27],"and":[28,53,100,122,128],"SPECT":[30,99,153],"simulations":[31,42],"deduced":[32],"from":[33],"a":[34,92],"high":[35],"resolution":[36],"T1-weighted":[37],"MRI":[38,101],"data":[39],"set.":[40],"Those":[41],"were":[43,111],"also":[44,64],"used":[45],"to":[46],"study":[47],"the":[48,136,146,149],"impact":[49],"photon":[51],"attenuation":[52,160],"Compton":[54],"scatter":[55],"corrections":[56],"on":[57,107,142],"accuracy.":[59,165],"Evaluation":[60],"performed":[65],"inconsistency":[67,89],"measurements":[68,90,110],"six":[70],"patients":[71],"with":[72],"temporo-mesial":[73],"epilepsy.":[74],"For":[75],"these":[76],"as":[78,154,156],"no":[79],"Gold":[80],"Standard":[81],"available,":[83],"accuracy":[85,144],"assessed":[87],"involving":[91],"loop":[94],"between":[95],"inter-ictal":[96],"SPECT,":[97],"data.":[102],"Five":[103],"methods":[105],"statistical":[108],"compared,":[112],"namely:":[113],"mutual":[114,118],"information":[115,119],"(MI),":[116],"normalized":[117],"(NMI),":[120],"L1":[121],"L2":[123],"norm-based":[124],"correlation":[125,129],"ratios":[126],"(CR)":[127],"coefficient":[130],"(CC).":[131],"It":[132],"found":[134],"that":[135],"simulation":[137],"context":[138],"had":[139],"more":[140],"influence":[141],"than":[145],"choice":[147],"criterion.":[151],"Ictal":[152],"well":[155],"correction":[157],"uniform":[159],"clearly":[161],"decreased":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}