A-contrario localization of epileptogenic zones in spect images
Resumen:
In refractory epilepsy, the goal of neuroimaging is to localize the region of seizure onset. Tracers that accumulate and remain fixed proportional to regional cerebral blood flow (rCBF) at the time of injection are used to obtain SPECT images of the brain activity during and between seizures. The most used technique for detecting the epileptogenic zone (EZ) is to threshold the co-registered and normalized subtraction of these two images. This method has proven to be very useful but has some disadvantages: result depends on the selected threshold and abundance of false detections. In this paper we propose an a-contrario algorithm for detecting regions of the brain with significant changes in the rCBF using two SPECT images. This new method arises from formal deduction and no arbitrary parameters are involved. Comparisons of both methodologies on six patients are presented. The proposed algorithm shows good results in all cases and is more robust than the thresholding method. Index Terms : A-contrario detection, SPECT, refractory epilepsy
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2009 | |
A-contrario detection SPECT Refractory epilepsy Procesamiento de Señales |
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Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/38636 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
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---|---|
author | Ferrando, Rodolfo |
author2 | Musé, Pablo Sprechmann, Pablo Aguerrebere, Cecilia |
author2_role | author author author |
author_facet | Ferrando, Rodolfo Musé, Pablo Sprechmann, Pablo Aguerrebere, Cecilia |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Ferrando, Rodolfo Musé, Pablo Sprechmann, Pablo Aguerrebere, Cecilia |
dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:07Z |
dc.date.available.none.fl_str_mv | 2023-08-01T20:33:07Z |
dc.date.issued.es.fl_str_mv | 2009 |
dc.date.submitted.es.fl_str_mv | 20230801 |
dc.description.abstract.none.fl_txt_mv | In refractory epilepsy, the goal of neuroimaging is to localize the region of seizure onset. Tracers that accumulate and remain fixed proportional to regional cerebral blood flow (rCBF) at the time of injection are used to obtain SPECT images of the brain activity during and between seizures. The most used technique for detecting the epileptogenic zone (EZ) is to threshold the co-registered and normalized subtraction of these two images. This method has proven to be very useful but has some disadvantages: result depends on the selected threshold and abundance of false detections. In this paper we propose an a-contrario algorithm for detecting regions of the brain with significant changes in the rCBF using two SPECT images. This new method arises from formal deduction and no arbitrary parameters are involved. Comparisons of both methodologies on six patients are presented. The proposed algorithm shows good results in all cases and is more robust than the thresholding method. Index Terms : A-contrario detection, SPECT, refractory epilepsy nbsp, |
dc.identifier.citation.es.fl_str_mv | Ferrando, R, Musé, P, Sprechmann, P, Aguerrebere, C. “A-contrario localization of epileptogenic zones in spect images”. Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, 2009.. doi: 10.1109/ISBI.2009.5193111 |
dc.identifier.doi.es.fl_str_mv | doi: 10.1109/ISBI.2009.5193111 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38636 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | IEEE |
dc.relation.ispartof.es.fl_str_mv | IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, 2009. |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | A-contrario detection SPECT Refractory epilepsy |
dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
dc.title.none.fl_str_mv | A-contrario localization of epileptogenic zones in spect images |
dc.type.es.fl_str_mv | Ponencia |
dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | In refractory epilepsy, the goal of neuroimaging is to localize the region of seizure onset. Tracers that accumulate and remain fixed proportional to regional cerebral blood flow (rCBF) at the time of injection are used to obtain SPECT images of the brain activity during and between seizures. The most used technique for detecting the epileptogenic zone (EZ) is to threshold the co-registered and normalized subtraction of these two images. This method has proven to be very useful but has some disadvantages: result depends on the selected threshold and abundance of false detections. In this paper we propose an a-contrario algorithm for detecting regions of the brain with significant changes in the rCBF using two SPECT images. This new method arises from formal deduction and no arbitrary parameters are involved. Comparisons of both methodologies on six patients are presented. The proposed algorithm shows good results in all cases and is more robust than the thresholding method. Index Terms : A-contrario detection, SPECT, refractory epilepsy |
eu_rights_str_mv | openAccess |
format | conferenceObject |
id | COLIBRI_12d16346e123215fca9b845367e56fb3 |
identifier_str_mv | Ferrando, R, Musé, P, Sprechmann, P, Aguerrebere, C. “A-contrario localization of epileptogenic zones in spect images”. Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, 2009.. doi: 10.1109/ISBI.2009.5193111 doi: 10.1109/ISBI.2009.5193111 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38636 |
publishDate | 2009 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
spelling | 2023-08-01T20:33:07Z2023-08-01T20:33:07Z200920230801Ferrando, R, Musé, P, Sprechmann, P, Aguerrebere, C. “A-contrario localization of epileptogenic zones in spect images”. Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, 2009.. doi: 10.1109/ISBI.2009.5193111https://hdl.handle.net/20.500.12008/38636doi: 10.1109/ISBI.2009.5193111In refractory epilepsy, the goal of neuroimaging is to localize the region of seizure onset. Tracers that accumulate and remain fixed proportional to regional cerebral blood flow (rCBF) at the time of injection are used to obtain SPECT images of the brain activity during and between seizures. The most used technique for detecting the epileptogenic zone (EZ) is to threshold the co-registered and normalized subtraction of these two images. This method has proven to be very useful but has some disadvantages: result depends on the selected threshold and abundance of false detections. In this paper we propose an a-contrario algorithm for detecting regions of the brain with significant changes in the rCBF using two SPECT images. This new method arises from formal deduction and no arbitrary parameters are involved. Comparisons of both methodologies on six patients are presented. The proposed algorithm shows good results in all cases and is more robust than the thresholding method. Index Terms : A-contrario detection, SPECT, refractory epilepsynbsp,Made available in DSpace on 2023-08-01T20:33:07Z (GMT). No. of bitstreams: 5 ASMF09.pdf: 640105 bytes, checksum: 0f5cb6b8f684141216b2fea7776aafdc (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2009enengIEEEIEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, 2009.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)A-contrario detectionSPECTRefractory epilepsyProcesamiento de SeñalesA-contrario localization of epileptogenic zones in spect imagesPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaFerrando, RodolfoMusé, PabloSprechmann, PabloAguerrebere, CeciliaProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
spellingShingle | A-contrario localization of epileptogenic zones in spect images Ferrando, Rodolfo A-contrario detection SPECT Refractory epilepsy Procesamiento de Señales |
status_str | publishedVersion |
title | A-contrario localization of epileptogenic zones in spect images |
title_full | A-contrario localization of epileptogenic zones in spect images |
title_fullStr | A-contrario localization of epileptogenic zones in spect images |
title_full_unstemmed | A-contrario localization of epileptogenic zones in spect images |
title_short | A-contrario localization of epileptogenic zones in spect images |
title_sort | A-contrario localization of epileptogenic zones in spect images |
topic | A-contrario detection SPECT Refractory epilepsy Procesamiento de Señales |
url | https://hdl.handle.net/20.500.12008/38636 |