Selection of MR images for automated segmentation

Abstract

MR images show a large range of contrast for various tissues in the body and are ideal for multispectral segmentation. Typically, only two MR images (dualecho series) are used for segmentation: however, other images are often available. We evaluated MR images from 40 patients to determine the optimal type and number of images required for segmentation of tissues associated with brain tumors (normal brain, edema, necrosis. and active tumor). Pattern recognition methods indicated that three MR images from the same slice location were adequate for segmentation. M defined by feature selection and feature extraction measures based on training fields. This result was also confirmed by visually examining segmented images for all 40 patients. The work demonstrates that by using existing imagelrtatistid analysis techniques (feature selection and feature extraction). one can systematically determine the optimal type and number of MR images for tissue segmentation.