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Accelerated three‐dimensional upper airway MRI using compressed sensing
Author(s) -
Kim YoonChul,
Narayanan Shrikanth S.,
Nayak Krishna S.
Publication year - 2009
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.21953
Subject(s) - compressed sensing , constraint (computer aided design) , computer science , acceleration , phase (matter) , vocal tract , temporal resolution , airway , image resolution , image quality , image (mathematics) , acoustics , computer vision , artificial intelligence , speech recognition , mathematics , medicine , physics , surgery , geometry , classical mechanics , quantum mechanics
In speech‐production research, three‐dimensional (3D) MRI of the upper airway has provided insights into vocal tract shaping and data for its modeling. Small movements of articulators can lead to large changes in the produced sound, therefore improving the resolution of these data sets, within the constraints of a sustained speech sound (6–12 s), is an important area for investigation. The purpose of the study is to provide a first application of compressed sensing (CS) to high‐resolution 3D upper airway MRI using spatial finite difference as the sparsifying transform, and to experimentally determine the benefit of applying constraints on image phase. Estimates of image phase are incorporated into the CS reconstruction to improve the sparsity of the finite difference of the solution. In a retrospective subsampling experiment with no sound production, 5× and 4× were the highest acceleration factors that produced acceptable image quality when using a phase constraint and when not using a phase constraint, respectively. The prospective use of a 5× undersampled acquisition and phase‐constrained CS reconstruction enabled 3D vocal tract MRI during sustained sound production of English consonants /s/, /∫/, /l/, and /r/ with 1.5 × 1.5 × 2.0 mm 3 spatial resolution and 7 s of scan time. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.