Metaheuristic algorithms are needed to tackle complex problems using the abilities of collective work observed in nature. With over 10% of women worldwide being diagnosed with breast cancer in their lives, there is a great need for powerful diagnostic devices. Breast magnetic resonance imaging (MRI) is a technology that can be employed for the characterization of malignant lesions. In this paper, we propose a new method based on the Red Kite Optimization Algorithm (ROA) which is utilized as a metaheuristic-based optimization technique to register breast MRI images. ROA method is specifically developed and validated for registering pre-contrast to post-contrast MRI images of breast. Results: The results showed that the ROA-based registration method is superior to the Particle Swarm Optimization (PSO), Biogeography-Based Optimization (BBO), and Biogeography-Based Optimization with Enhanced Learning (BBO-EL) methods often used for this purpose. We find the registration technique to be better because of results on experiments with breast MR images than other BBO, BBO-EL and PSO-based registrations.