Breast cancer is the second leading cause of cancer mortality among women in America. Dedicated breast computed tomography (CT) has been developed for potential use as an imaging tool for breast-cancer screening or diagnosis, because it can yield three-dimensional (3D) volumetric images of the breast, thus overcoming inherent limitations of conventional two-dimensional (2D) mammography. Image quality and the radiation dose are of important concerns in breast CT imaging. The objective of this project is to investigate and develop innovative imaging configurations and reconstruction algorithms for obtaining accurate images and reducing radiation dose in breast CT imaging. In the past year, I have studied and assessed several non-circular configurations that could be potentially useful for breast CT imaging by investigating data conditioning techniques and reconstructing images for the configurations. I have also conducted preliminary studies using innovative optimization-based algorithms for a potentially substantial reduction of radiation dose in breast CT imaging. In addition to computer-simulation studies, I have also performed real data studies involving physical phantoms and patient data. In summary, during the first year, I have successfully carried out research on the planned tasks, and the results obtained have formed a solid basis for me to continue the research planned for the next year.