Computational Breast Cancer Models Created from Patient Specific CT Images: Preliminary Results

Breast cancer remains the most common cause of death for women below seventy years of age. Although, screening nowadays is a common practice the standard tools for such procedure in some cases of breast cancers are not as efficient as desired. New approaches are constantly being developed to detect and diagnose the cancerous formations as earlier as possible. These new techniques require extensive optimization of parameters which is best performed with computer-based models. Our main objective is the creation of comprehensive breast cancer computer database for the purposes of developing, testing and optimizing new x-ray imaging techniques. This paper reports on a semi-automatic approach for segmentation of cancerous tissue extracted from patient specific CT datasets and the creation of solid breast cancer models