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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Spatio-temporal resolution enhancement of vocal tract MRI sequences based on image registration

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Autor(es):
Martins, Ana L. D. [1] ; Mascarenhas, Nelson D. A. [1] ; Suazo, Claudio A. T. [2]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Fed Sao Carlos, Dept Comp, BR-13565905 Sao Carlos, SP - Brazil
[2] Univ Fed Sao Carlos, Dept Chem Engn, BR-13565905 Sao Carlos, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: Integrated Computer-Aided Engineering; v. 18, n. 2, p. 143-155, 2011.
Citações Web of Science: 13
Resumo

Dynamic magnetic resonance imaging is an emerging technique for studying speech production. Vocal tract image sequences acquired during the speech of words or phonemes allow the identification of shapes taken by the vocal tract during speech production. However, there is no prior knowledge about the spatial and temporal resolution requirements, which are expected to vary depending on the speech task. Available approaches try to enhance resolution by empowering the acquisition devices. However, there are several cost and hardware limitations. In this paper, we propose an alternative approach to enhance spatio-temporal resolution using only digital image processing techniques. We use a previous non-rigid image registration method to identify displacements and deformations among the observed images. Based on a motion compensated interpolation approach, temporal resolution is increased by generating intermediate images which are coherent with the movement present in the observed sequence. Moreover, a MAP-MRF super-resolution image reconstruction approach is used to increase spatial resolution of the whole sequence. Results indicate the effectiveness of our approach. (AU)

Processo FAPESP: 08/01348-2 - Aumento de Resolução de Imagens de Ressonância Magnética do Trato Vocal utilizadas em Modelos de Síntese Articulatória
Beneficiário:Ana Luísa Dine Martins
Modalidade de apoio: Bolsas no Brasil - Doutorado