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Magnetic resonance imaging of the vocal tract: techniques and applications

dc.contributor.authorVentura, Sandra Moreira Rua
dc.contributor.authorFreitas, Diamantino Rui
dc.contributor.authorTavares, João Manuel
dc.date.accessioned2014-01-30T15:28:27Z
dc.date.available2014-01-30T15:28:27Z
dc.date.issued2009
dc.date.updated2013-11-17T20:31:33Z
dc.description.abstractMagnetic resonance (MR) imaging has been used to analyse and evaluate the vocal tract shape through different techniques and with promising results in several fields. Our purpose is to demonstrate the relevance of MR and image processing for the vocal tract study. The extraction of contours of the air cavities allowed the set - up of a number of 3D reconstruction image stacks by means of the combination of orthogonally oriented sets of slices for e ach articulatory gesture, as a new approach to solve the expected spatial under sampling of the imaging process. In result these models give improved information for the visualization of morphologic and anatomical aspects and are useful for partial measure ments of the vocal tract shape in different situations. Potential use can be found in Medical and therapeutic applications as well as in acoustic articulatory speech modelling.por
dc.identifier.isbn978-989-8111-68-5
dc.identifier.urihttp://hdl.handle.net/10400.22/3535
dc.language.isoengpor
dc.peerreviewednopor
dc.publisherInstitute for Systems and Technologies of Information, Control and Communication Presspor
dc.subjectMagnetic resonance imagingpor
dc.subjectSpeech production studypor
dc.subjectImage processingpor
dc.subject3D modelingpor
dc.subjectVocal tract studypor
dc.titleMagnetic resonance imaging of the vocal tract: techniques and applicationspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapor
oaire.citation.title1st International Conference on Imaging Theory and Applications (IMAGAPP)por
person.identifier.ciencia-id4812-0F93-A294
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication87a45b5b-6855-4d94-9dab-261a9c3b8e9c
relation.isAuthorOfPublication.latestForDiscovery87a45b5b-6855-4d94-9dab-261a9c3b8e9c

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