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Dynamic Fast Imaging Employing Steady State Acquisition Magnetic Resonance Imaging of the Vocal Tract in One Overtone Male Singer: Our Preliminary Experience

      Summary

      Aims

      To demonstrate physiological changing of vocal tract's structures during overtone singing with commercial magnetic resonance imaging (MRI) Fast Imaging Employing Steady State Acquisition (FIESTA) dynamic sequence.

      Methods and Materials

      A 1.5 T MRI with a 16 channel head-and-neck coil and a FIESTA sequence were used. A temporal resolution of 0.155 sec (7 image/s). A single professional singer was studied. The MR acquisition is made while the singer performed a predetermined singing sequence. Three different overtone singing techniques were examined (L-technique, J-technique, and NG technique) and one effect (Ezengileer) applied to L-technique. For each overtone technique we evaluated MRI movement of lips, tongue, velopharyngeal closure, and relationship among tongue and pharyngeal posterior wall/soft palate. To cancel the noise over-imposed, the dynamic MRI was subsequently dubbed in studio with the audio of the preset overtone sing. Dubbed MR images were analyzed with an Overtone Analyzer Software and different sound frequencies were identified and pointed out as colored lines.

      Results

      This study shows that different overtone techniques are related to a specific conformation of tongue, lips, soft and hard palate and motion's relation changing between them. Only a correct conformation of vocal tract's structure allows resonance and so to hear desired fundamental and harmonic pitch in overtone singing.

      Conclusion

      The preliminary data of our study demonstrates that FIESTA dynamic MRI sequence can be used to depict changing of position of vocal tract's structure in overtone singing techniques with a good temporal and anatomic resolution.

      Key Words

      Abbreviations:

      FIESTA (Fast Imaging Employing Steady-state Acquisition), MRI (Magnetic resonance imaging), FOV (Filed of view), Khz (Kilohertz), RTMRI (Real time magnetic resonance imaging)
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      References

        • Bieri O
        • Scheffler K
        Fundamentals of balanced steady state free precession MRI.
        J Magn Reson Imaging. 2013; 38: 2-11https://doi.org/10.1002/jmri.24163
        • Sun Q
        • Dong MJ
        • Tao XF
        • et al.
        Dynamic ``MR imaging of temporomandibular joint: an initial assessment with fast imaging employing steady state acquisition sequences.
        Magn Reson Imaging. 2015; 33: 270-275https://doi.org/10.1016/j.mri.2014.10.013
        • Biederer J
        • Beer M
        • Hirsch W
        • et al.
        MRI of the lung (2/3). Why .. when .. how ?.
        Insights Imaging. 2012; 3: 355-371https://doi.org/10.1007/s13244-011-0146-8
        • Guo WY
        • ONO s
        • Oi S
        • et al.
        Dynamic motion analysis of foetuses with central nervous system disorders by cine magnetic resonance imaging using fast imaging employing steady-state acquisition and parallel imaging: a preliminary result.
        J Neurosurg. 2006; 105: 94-100https://doi.org/10.3171/ped.2006.105.2.94
        • Murmura E
        • Murmura B
        • Maggio G
        • et al.
        Sequenze Cine in entero-RM: utile completamento nella valutazione della patologia del piccolo intestino.
        Il giornale italiano di Radiologia Medica. 2017; 4: 514-520
        • Echternach M
        • Markl M
        • Richter B
        Dynamic real-time magnetic resonance imaging for the analysis of voice physiology.
        Curr Opin Otolaryngol Head Neck Surg. 2012; 20: 450-457https://doi.org/10.1097/MOO.0b013e3283585f87
        • Lingala SG
        • Sutton BP
        • Miquel ME
        • et al.
        Recommendations for real-time speech MRI.
        J Magn Reson Imaging. 2016; 43: 28-44https://doi.org/10.1002/jmri.24997
        • Hefele AM
        • Eklund R
        • McAllister A
        Polyphonic overtone singing: an acoustic and physiological (MRI) analysis and a first-person description of a unique mode of singing.
        in: Conference Paper Fonetik, Stockholm2019: 91-96
        • Roers F
        • Murbe D
        • Sundberg J
        Voice classification and vocal tract singers: A study of x-ray images and morphology J.
        Acoustic Soc Am. 2009; 124: 503-512
        • Veena S
        • Nilashree W
        • Milind S
        Vocal tract shape estimation techniques for children.
        Procedia Computer Science. 2016; 79: 270-277https://doi.org/10.1016/j.procs.2016.03.035
        • Titze IR
        The human instrument.
        Sci Am. 2008; 298: 94-101
        • Levin T.C.
        • Michael E.
        Edgerton the throat singers of Tuva.
        Scientific American. 1999; 281: 80-87
        • Stone M
        Laboratory techniques for investigating speech articulation.
        in: Hardcastle WJ Laver J Gibbon FE The Handbook of Phonetic Sciences. Blackwell Publishing Ltd., Oxford, UK2010: 9-38
        • Niebergall A
        • Zhang S
        • Kunay E
        • et al.
        Real time MRI of speaking at a resolution of 33 ms: undersampled radial FLASH with nonlinear invers reconstruction.
        Magn Reson Med. 2013; 69: 477-485https://doi.org/10.1002/mrm.24276
        • Zhang S
        • Olthoff A
        • Frahm J
        Real-time magnetic resonance imaging of normal swallowing.
        J Magn Reson Imaging. 2012; 35: 1372-1379https://doi.org/10.1002/jmri.23591
        • NessAiver MS
        • Stone M
        • Parthasarathy V
        • et al.
        Recording high quality speech during tagged cine-MRI studies using a fiber optic microphone.
        J Magn Reson Imaging. 2006; 23: 92-97https://doi.org/10.1002/jmri.20463
        • Echternach M
        • Sundberg J
        • Arndt S
        • et al.
        Vocal tract in female registers – a dynamic real-time MRI study.
        J Voice. 2010; 24: 133-139https://doi.org/10.1016/j.jvoice.2008.06.004
        • Sundberg J
        Articulatory configuration and pitch in a classically trained soprano singer.
        J Voice. 2009; 23: 546-551https://doi.org/10.1016/j.jvoice.2008.02.003
        • Echternach M
        • Sundberg J
        • Arndt S
        • et al.
        Vocal tract and register changes analysed by real time MRI in male professional singers – a pilot study.
        Logoped Phoniatr Vocol. 2008; 33: 67-73https://doi.org/10.1080/14015430701875653
        • Echternach M
        • Sundberg J
        • Markl M
        • et al.
        Professional opera tenor’s vocal tract configurations in registers.
        Folia Phoniatr Logop. 2010; 62: 278-287https://doi.org/10.1159/000312668
        • Echternach M
        • Markl M
        • Richter B
        Vocal tract configurations in yodelling - prospective comparison of two Swiss yodeller and two non-yodeller subjects.
        Logoped Phoniatr Vocol. 2011; 36: 109-113https://doi.org/10.3109/14015439.2011.566576
        • Echternach M
        • Popeil L
        • Traser L
        • et al.
        Dynamic real time MRI for analysis of vocal tract in different musical theatre singing styles.
        in: 41st Annual Meeting of the Voice Foundation, Philadelphia2012
        • Traser L
        • Burdumy M
        • Richter B
        • et al.
        Dynamic real time MRI for analysis of vocal tract in different musical theatre singing styles.
        J Voice. 2013; 27 (N.2, 141-148)