Design, Realization and Experiments with a new RF Head Probe Coil for Human Vocal Tract Imaging in an NMR device

Přibil, J.; Gogola, D.; Dermek, T.; Frollo, I.

doi:10.2478/v10048-012-0017-6

Abstract

Magnetic resonance imaging (MRI) is nowadays widely used in medicine for diagnostic imaging and in research studies. The modeling of the human vocal tract acoustics has recently attracted considerable interest. This paper describes the design, realization and first MR scan experiments with a new head probe coil for vocal tract imaging in the open-air MRI equipment working in a weak magnetic field up to 0.2 T. The paper also describes an experimental setting for sound recording during the MR imaging.

References

Vampola, T., Horáček, J., Švec, J.G. (2008). FE modeling of human vocal tract acoustic: Part I - Production of Czech vowels. Acta Acustica United with Acustica, 94, 433-447.10.3813/AAA.918051
Search in Google Scholar
Vampola, T. et al. (2008). FE modeling of human vocal tract acoustics: Part II - Influence of velopharyngeal insufficiency on phonation of vowels. Acta Acustica United with Acustica, 94, 448-460.10.3813/AAA.918052
Search in Google Scholar
Malinen, J., Palo, P. (2009). Recording speech during MRI: Part II. In Proc. of the 6^th Int. Workshop Models and Analysis of Vocal Emissions for Biomedical Applications, December 14-16, 2009. Frenze University Press.
Search in Google Scholar
Aalto, D. et al. (2011). Recording speech sound and articulation in MRI. In Proc. of the Int. Conference on Biomedical Electronics and Devices Biodevices 2011. Rome, Italy, 168-173.
Search in Google Scholar
Andris, P., Frollo. I. (2007). Varicaps for NMR receiving coil matching and sensitivity changes. Journal of Electrical Engineering, 58 (5), 291-293.
Search in Google Scholar
Doty, F.D. (2007). Solid state NMR probe design. In Encyclopedia of Magnetic Resonance. Wiley Online Library, DOI: 10.1002/9780470034590.emrstm1001.10.1002/9780470034590.emrstm1001
Search in Google Scholar
Prasolov, V., Solovyev, Y. (1997). Elliptic Functions and Elliptic Integrals. American Mathematical Society.10.1090/mmono/170
Search in Google Scholar
Frollo, I. (1989). Generation and application of gradient magnetic fields in NMR measurement and imaging. Scientific Instrumentation, 4 (2), 41-51.
Search in Google Scholar
Esaote S.p.A. (2008). E-scan Opera. Image Quality and Sequences Manual. 830023522 Rev. A.
Search in Google Scholar
Frollo, I. et al. (2010). Measurement and imaging of planar electromagnetic phantoms based on NMR imaging methods. Measurement Science Review, 10 (3), 97-101.10.2478/v10048-010-0013-7
Search in Google Scholar
Přibil, J., Horáček, J., Horák, P. (2011). Two methods of mechanical noise reduction of recorded speech during phonation in an MRI device. Measurement Science Review, 11 (3), 92-98.10.2478/v10048-011-0017-y
Search in Google Scholar
Moelker, A., Wielopolski, P.A., Pattynama, M.T. (2003). Relationship between magnetic field strength and magnetic-resonance-related acoustic noise levels. Magnetic Resonance Materials in Physics, Biology and Medicine, 16, 52-55.10.1007/s10334-003-0005-912695886
Search in Google Scholar
Tomasi, D., Ernst, T. (2006). A Simple theory for vibration of MRI gradient coils. Brazilian Journal of Physics, 36, 34-39.10.1590/S0103-97332006000100009
Search in Google Scholar
Vích, R., Přibil, J., Smékal, Z. (2001). New cepstral zero-pole vocal tract models for TTS synthesis. In Proc. of the IEEE Region 8 EUROCON'2001, Vol. 2, Section S22-Speech Compression and DSP, 458-462.10.1109/EURCON.2001.938161
Search in Google Scholar
Grůber, M., Matoušek, J. (2010). Listening-test-based annotation of communicative functions for expressive speech synthesis. In Text, Speech and Dialogue: Proc. of the 13^th Int. Conference TSD 2010, LNCS 6231. Springer, 283-290.10.1007/978-3-642-15760-8_36
Search in Google Scholar
Vich, R., Nouza, J., Vondra, M. (2008). Automatic speech recognition used for intelligibility assessment of text-to-speech systems. In Verbal and Nonverbal Features of Human-Human and Human-Machine Interactions, LNCS 5042. Springer, 136-148.10.1007/978-3-540-70872-8_10
Search in Google Scholar
Srinivasan, S., DeLiang, W. (2010). Robust speech recognition by integrating speech separation and hypothesis testing. Speech Communication, 52, 72-81.10.1016/j.specom.2009.08.008
Search in Google Scholar

Design, Realization and Experiments with a new RF Head Probe Coil for Human Vocal Tract Imaging in an NMR device

Abstract

Paradigm

My account