Weiyi Chen1, Dani Byrd2, Shrikanth Narayanan1,2, Krishna S Nayak1. 1. Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California. 2. Department of Linguistics, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California.
Abstract
PURPOSE: To demonstrate a tagging method compatible with RT-MRI for the study of speech production. METHODS: Tagging is applied as a brief interruption to a continuous real-time spiral acquisition. Tagging can be initiated manually by the operator, cued to the speech stimulus, or be automatically applied with a fixed frequency. We use a standard 2D 1-3-3-1 binomial SPAtial Modulation of Magnetization (SPAMM) sequence with 1 cm spacing in both in-plane directions. Tag persistence in tongue muscle is simulated and validated in vivo. The ability to capture internal tongue deformations is tested during speech production of American English diphthongs in native speakers. RESULTS: We achieved an imaging window of 650-800 ms at 1.5T, with imaging signal to noise ratio ≥ 17 and tag contrast to noise ratio ≥ 5 in human tongue, providing 36 frames/s temporal resolution and 2 mm in-plane spatial resolution with real-time interactive acquisition and view-sharing reconstruction. The proposed method was able to capture tongue motion patterns and their relative timing with adequate spatiotemporal resolution during the production of American English diphthongs and consonants. CONCLUSION: Intermittent tagging during real-time MRI of speech production is able to reveal the internal deformations of the tongue. This capability will allow new investigations of valuable spatiotemporal information on the biomechanics of the lingual subsystems during speech without reliance on binning speech utterance repetition.
PURPOSE: To demonstrate a tagging method compatible with RT-MRI for the study of speech production. METHODS: Tagging is applied as a brief interruption to a continuous real-time spiral acquisition. Tagging can be initiated manually by the operator, cued to the speech stimulus, or be automatically applied with a fixed frequency. We use a standard 2D 1-3-3-1 binomial SPAtial Modulation of Magnetization (SPAMM) sequence with 1 cm spacing in both in-plane directions. Tag persistence in tongue muscle is simulated and validated in vivo. The ability to capture internal tongue deformations is tested during speech production of American English diphthongs in native speakers. RESULTS: We achieved an imaging window of 650-800 ms at 1.5T, with imaging signal to noise ratio ≥ 17 and tag contrast to noise ratio ≥ 5 in human tongue, providing 36 frames/s temporal resolution and 2 mm in-plane spatial resolution with real-time interactive acquisition and view-sharing reconstruction. The proposed method was able to capture tongue motion patterns and their relative timing with adequate spatiotemporal resolution during the production of American English diphthongs and consonants. CONCLUSION: Intermittent tagging during real-time MRI of speech production is able to reveal the internal deformations of the tongue. This capability will allow new investigations of valuable spatiotemporal information on the biomechanics of the lingual subsystems during speech without reliance on binning speech utterance repetition.
Authors: M Stone; E P Davis; A S Douglas; M NessAiver; R Gullapalli; W S Levine; A Lundberg Journal: J Acoust Soc Am Date: 2001-06 Impact factor: 1.840
Authors: M Markl; R Bammer; M T Alley; C J Elkins; M T Draney; A Barnett; M E Moseley; G H Glover; N J Pelc Journal: Magn Reson Med Date: 2003-10 Impact factor: 4.668
Authors: Fangxu Xing; Jonghye Woo; Arnold D Gomez; Dzung L Pham; Philip V Bayly; Maureen Stone; Jerry L Prince Journal: IEEE Trans Med Imaging Date: 2017-07-04 Impact factor: 10.048
Authors: Jonghye Woo; Junghoon Lee; Emi Z Murano; Fangxu Xing; Meena Al-Talib; Maureen Stone; Jerry L Prince Journal: Comput Methods Biomech Biomed Eng Imaging Vis Date: 2015