Abstract: Given the pre- and post-contrast Gadolinium MR images of any body organ, the uptake curve estimation holds diagnostic utility in the area of medicine. The rate of absorption of the contrast agent (Gadolinium) by the lesions can tell the type of lesion it is, and also can be an indication of the malignancy stage. The differences in contrast enhancement rates can be used to distinguish between benign and malignant lesions. Oncologists/radiologists and internists can classify the type of malignancy by looking at the quantitative characteristics of the tissue signal enhancement. The slopes of the uptake curve can indicate the level and type of malignancy. Such a classification is called functional segmentation. This Marconi Internal Report presents the user-friendly MR Breast Perfusion Software Analysis System (BPAS), based on Motif using C/C++ and X window libraries and runs on Digital Unix and XP1000 workstations supporting Unix and Linux Operating Systems, respectively. We tested our software on 20 patient studies from the data collected from two major sites in the United States and Europe.