Meeting Banner
Abstract #1408

Sensitivity of Quantitative Texture Metrics to Variations in Image Acquisition Parameters

Bruce Damon1, Yuan Xie2, Ke Li1, Susan Kroop1, and Jane Park1

1Vanderbilt University School of Medicine, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States

The purpose of this study was to examine the dependence of a quantitative texture metric, the high gray level run length emphasis (HGRE) in T2-weighted images, on common variations in image acquisition parameters. We studied 13 muscle disease patients with quantitative fat/water MRI and contrast-based images. The ability of the HGRE was unaffected by image matrix size. We also measured the dependence of the regression parameters on TR and TE. The results support the use of quantitative texture analysis to study clinically acquired MR images in muscle disease patients.

This abstract and the presentation materials are available to members only; a login is required.

Join Here