Houri K. Vorperian, PhD – Slide of the Week

We present a unified heat kernel smoothing framework for modeling 3D anatomical surface data extracted from medical images. Due to image acquisition and preprocessing noises, it is expected the medical imaging data is noisy. The surface data of the anatomical structures is regressed using the weighted linear combination of Laplace-Beltrami (LB) eigenfunctions to smooth out noisy data and perform statistical analysis.

Vorperian recipient of the 2010 Editor’s Award for the Speech section of the Journal of SLHR

A research article from the Vocal Tract Development Laboratory at the Waisman Center (Principal Investigator, Houri K. Vorperian, Ph.D.) is the recipient of the 2010 Editor’s Award for the Speech section of the Journal of Speech, Language, and Hearing Research.