In breast cancer screening for high-risk women, prior MRI study provides additional clinical value when examining current one and thus increases the sensitivity and specificity of screening. In this work, to build a spatial correlation between suspicious findings in both current-prior studies, we present a fast and robust spatial alignment method, which combines automated breast segmentation and current-prior registration techniques. The global alignment accuracy in terms of volume overlap was measured, resulting in an average Dice Coefficient (DC) of 0.96, and the average distance error of manually annotated landmark pairs indicating corresponding inner breast tissues was 10.86 mm.