Abstract

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 …

Date

2009

Authors

Yoon‐Chul Kim, Shrikanth S Narayanan, Krishna S Nayak

Journal

Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine

Volume

61

Issue

6

Pages

1434-1440

Publisher

Wiley Subscription Services, Inc., A Wiley Company