1. Design, Realization and Experiments with a new RF Head Probe Coil for Human Vocal Tract Imaging in an NMR device
- Author
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Ivan Frollo, Jiří Přibil, D. Gogola, and T. Dermek
- Subjects
Engineering ,rf probe coil ,medicine.diagnostic_test ,Computer simulation ,business.industry ,vocal tract modeling ,Acoustics ,Biomedical Engineering ,Magnetic resonance imaging ,Finite element method ,Magnetic field ,Control and Systems Engineering ,Electromagnetic coil ,nmr imaging ,QA1-939 ,medicine ,field calculation ,Phonation ,Tomography ,business ,Instrumentation ,Mathematics ,Vocal tract - Abstract
HE NON-INVASIVE magnetic resonance (MR) scanning of the human vocal tract volume enables to develop the three-dimensional (3D) computer models of the vocal tract. These 3D models are necessary for understanding the basic physical principles for the creation of human speech and voice as close to reality as possible. The primary volume models of the human acoustic supraglottal spaces created from the MR images can then be transformed into the 3D finite element (FE) models [1]. Such models are helpful for modeling the real clinical situation, such as influence of various inborn defects in human supraglottal spaces on speech and voice or simulations of various postsurgical states in patients [2]. The quality of the developed FE models has to be checked by a sufficiently accurate numerical simulation of the subject phonation during the NMR scanning and therefore the simultaneous acoustic recording of subject voice during the scan procedure is very important [3], [4]. Head probe coils are commonly produced for the magnetic resonance imaginer (MRI) equipment working with strong magnetic field, but these systems produce a lot of unwanted acoustic noise. The solutions to the acoustic noise problems are low field MR scanners, but these are not usually provided with the head/neck coils. Therefore, this study focused on the development of a new MR receiving head coil, for a tomograph with low magnetic field to be used primarily in human vocal tract imaging.
- Published
- 2012
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