Rapid dynamic speech imaging at 3 Tesla using combination of a custom vocal tract coil, variable density spirals and manifold regularization

Rushdi Zahid Rusho; Abdul Haseeb Ahmed; Stanley Kruger; Wahidul Alam; David Meyer; David Howard; Ingo Titze; Mathews Jacob; Sajan Goud Lingala

doi:10.48550/arXiv.2209.02768

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Rapid dynamic speech imaging at 3 Tesla using combination of a custom vocal tract coil, variable density spirals and manifold regularization

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Rapid dynamic speech imaging at 3 Tesla using combination of a custom vocal tract coil, variable density spirals and manifold regularization

Rushdi Zahid Rusho, Abdul Haseeb Ahmed, Stanley Kruger, Wahidul Alam, David Meyer, David Howard, Ingo Titze, Mathews Jacob and Sajan Goud Lingala

ArXiv.org

09/06/2022

DOI: 10.48550/arXiv.2209.02768

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https://doi.org/10.48550/arXiv.2209.02768View

Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

Purpose: To improve dynamic speech imaging at 3 Tesla. Methods: A novel scheme combining a 16-channel vocal tract coil, variable density spirals (VDS), and manifold regularization was developed. Short readout duration spirals (1.3 ms long) were used to minimize sensitivity to off-resonance. The manifold model leveraged similarities between frames sharing similar vocal tract postures without explicit motion binning. Reconstruction was posed as a SENSE-based non-local soft weighted temporal regularization scheme. The self-navigating capability of VDS was leveraged to learn the structure of the manifold. Our approach was compared against low-rank and finite difference reconstruction constraints on two volunteers performing repetitive and arbitrary speaking tasks. Blinded image quality evaluation in the categories of alias artifacts, spatial blurring, and temporal blurring were performed by three experts in voice research. Results: We achieved a spatial resolution of 2.4mm2/pixel and a temporal resolution of 17.4 ms/frame for single slice imaging, and 52.2 ms/frame for concurrent 3-slice imaging. Implicit motion binning of the manifold scheme for both repetitive and fluent speaking tasks was demonstrated. The manifold scheme provided superior fidelity in modeling articulatory motion compared to low rank and temporal finite difference schemes. This was reflected by higher image quality scores in spatial and temporal blurring categories. Our technique exhibited faint alias artifacts, but offered a reduced interquartile range of scores compared to other methods in alias artifact category. Conclusion: Synergistic combination of a custom vocal-tract coil, variable density spirals and manifold regularization enables robust dynamic speech imaging at 3 Tesla.

Details

Title: Subtitle: Rapid dynamic speech imaging at 3 Tesla using combination of a custom vocal tract coil, variable density spirals and manifold regularization
Creators: Rushdi Zahid Rusho
Abdul Haseeb Ahmed
Stanley Kruger
Wahidul Alam
David Meyer
David Howard
Ingo Titze
Mathews Jacob
Sajan Goud Lingala
Resource Type: Preprint
Publication Details: ArXiv.org
DOI: 10.48550/arXiv.2209.02768
ISSN: 2331-8422
Number of pages: 30 pages, 10 figures
Language: English
Date posted: 09/06/2022
Academic Unit: School of Music; Roy J. Carver Department of Biomedical Engineering; Radiology; Communication Sciences and Disorders; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984293660302771

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