This paper presents a new method for bilateral asym- metry analysis of breast MR images that uses directional statistics of the breast parenchymal edges, obtained from a multiresolution local energy edge detector, and image texture information derived from local energy maps, ob- tained by using a bank of log-Gaborfilters. Classification of MRI scans into cancer and non-cancer categories was per- formed by linear discriminant analysis and the leave-one- out methodology. A total of 40 cases, 20 normal/benign (BI-RADS 1 and 2) and 20 malignant, taken from a high risk screening population, were used in this pilot study. Av- erage classification accuracy of 70% (κ = 0.45 ± 0.14) with sensitivity and specificity of 75% and 65%, respec- tively, was achieved. The results obtained support the idea that bilateral asymmetry analysis of breast MR images can provide additional information for detection of breast tissue changes arising from diseases.