Speech Cine SSFP with optical microphone synchronization and motion compensated reconstruction

• Main Authors: Vuissoz, Pierre-André, Odille, Freddy, Laprie, Yves, Vincent, Emmanuel, Hossu, Gabriela, Felblinger, Jacques
• Other Authors: Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Analysis, perception and recognition of speech (PAROLE), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Dispositif, Méthodologie et Technique pour l'IRM (CIC-IT801), Institut National de la Santé et de la Recherche Médicale (INSERM)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2014
• Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; Norway; Tromso
• Online Access: https://hal.inria.fr/hal-00994526; https://hal.inria.fr/hal-00994526/document; https://hal.inria.fr/hal-00994526/file/vuissoz_ISMRM14.pdf

International audience Dynamic imaging of the vocal tact is important for modeling speechthrough the acoustic-articulatory relation. The average duration of each sound isabout 80ms. Movements of each articulator, in particular the tongue, should becaptured with sufficient precision. Current clinical techniques use X-ray videofluoroscopy which involves ionizing radiation. Real-time MRI allows direct recordingof speech motion [1] but is intrinsically limited in terms of resolution and SNR.Synchronization of MRI with an acoustic device is possible [2] but requires motion ofvocal system to be highly reproducible. In this work we propose an optimized setupfor achieving dynamic MRI of speech with high spatial and temporal resolution basedon a combination of: an MR-compatible acoustic device allowing simultaneousrecording of speech during MRI; and a retrospectively gated, motion-compensatedimage reconstruction that can deal with the variability of the subject repeating thesame sentence over the acquisition.