Breast cancer response post neoadjuvant chemotherapy using MRI measurements

Breast cancer is a significantly alarming health issue for women where Dynamic Contrast Enhanced Magnetic Resonance Imaging serves as a pivot in detection, diagnoses and treatment monitoring. In this paper the response given by breast cancer patients to Neoadjuvant Chemotherapy is analyzed with Magnetic Resonance Images of these patients taken before and after treatment. The MRI images are pre-processed using Gaussian filter and the region of interest, tumor region, is identified and segmented using the adaptive k-means clustering. The features are extracted from the segmented images. The effectiveness of treatment to breast cancer is categorized according to the results obtained from the features extracted. The longest diameter measured on the maximum region proved to be prognostic factor for the physicians to decide on the other treatment measures required. Thus the experimental results show that preoperative breast tumor measurements on MRI provide us improved risk stratification methods with better surgical procedure.