Mostra el registre d'ítem simple

dc.contributor.authorAymerich Martínez, Francisco Javier
dc.contributor.authorMontseny Masip, Eduard
dc.contributor.authorSobrevilla Frisón, Pilar
dc.contributor.authorRovira, Àlex
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2010-01-18T15:34:29Z
dc.date.available2010-01-18T15:34:29Z
dc.date.created2009-04
dc.date.issued2009-04
dc.identifier.citationAymerich, F.X. [et al.]. FLCSFD - A fuzzy local-based approach for detecting cerebrospinal fluid regions in presence of MS lesions. A: IEEE/ICME International Conference on Complex Medical Engineering 2009. "Complex Medical Engineering, 2009. CME. ICME International Conference on". Tempe: 2009, p. 1-6.
dc.identifier.isbn978-1-4244-3315-5
dc.identifier.urihttp://hdl.handle.net/2117/6176
dc.description.abstractMagnetic Resonance Imaging (MRI) is an important paraclinical tool for diagnosing Multiple Sclerosis (MS) and providing several markers of disease activity and evolution. Traditionally, hypointense lesions on T1-weighted images have been reported to represent areas where demyelination and axonal loss have occurred, and are the images usually selected for segmenting the encephalic parenchyma. Based on the fact that in T1-weighted images MS lesions cannot be located within cerebrospinal fluid regions (CSF), a correct detection of such regions is very useful to filter MS’s false detections. However, the gray levels similarity among some MS lesions and CDF regions makes of the encephalic parenchyma detection process a difficult task. In this work we propose an approach for detecting CSF regions in which, for taking into consideration aforementioned gray-level vagueness, as well as the intrinsic uncertainty of CSF boundaries, we make use of fuzzy techniques. The proposed algorithm performs a fuzzy local analysis based on gray-level and texture characteristics, but considering the location and size of the CSF regions. As a result, the algorithm allows discriminating cerebrospinal fluid regions inside the intracranial region, providing confidence degrees that match with the possibility of including pixels associated to MS lesion
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
dc.subject.lcshMultiple sclerosis.
dc.subject.lcshMagnetic resonance imaging.
dc.titleFLCSFD - A fuzzy local-based approach for detecting cerebrospinal fluid regions in presence of MS lesions
dc.title.alternativeA fuzzy local-based approach for detecting cerebrospinal fluid regions in presence of MS lesions
dc.typeConference lecture
dc.subject.lemacEsclerosi múltiple
dc.subject.lemacDiagnòstic per la imatge
dc.subject.lemacDiagnòstic radiològic
dc.identifier.doi10.1109/ICCME.2009.4906622
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument2415819
dc.description.versionPostprint (published version)
upcommons.citation.authorAymerich, F.X.; Montseny, E.; Pilar Sobrevilla; Rovira, A.
upcommons.citation.contributorIEEE/ICME International Conference on Complex Medical Engineering 2009
upcommons.citation.pubplaceTempe
upcommons.citation.publishedtrue
upcommons.citation.publicationNameComplex Medical Engineering, 2009. CME. ICME International Conference on
upcommons.citation.startingPage1
upcommons.citation.endingPage6
 Find Full text

Fitxers d'aquest items

Imatge en miniatura

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple

Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets