Abstract

Although volumetric magnetic resonance imaging has proven to be a valuable tool in the study of consonant production (Narayanan etal., 1995; Kröger etal., 2000), its utility is limited by the difficulty and laboriousness of reliably extracting tissue boundaries from imaging data. Current methods typically involve manual segmentation of air-tissue boundaries (e.g., Birkholz, 2006). Conventional automated (Atkins, 1998) and semi-automated (Ashton etal., 1995) methods used for the segmentation of brain MRI datasets may not be directly applicable to lingual segmentation because they are designed to work with different anatomical features. We present a method for extracting tongue surfaces from hi-resolution volumetric MRI data with limited user intervention. For each vocal tract volume to be analyzed, a lingual bounding box and search seed was first specified by an expert user, and voxel intensity was normalized …

Date

2011

Authors

Daniel K Bone, Michael I Proctor, Yoon Kim, Shrikanth S Narayanan

Journal

The Journal of the Acoustical Society of America

Volume

130

Issue

4_Supplement

Pages

2549-2549

Publisher

Acoustical Society of America