Locating and segmenting anatomical structures such as the heart, vertebrae or different regions of the brain in an image is an important step for many clinical applications, including visualization, surgical planning and dose radiation therapy. It is also an important tool in order to obtain quantitative measures for diagnostic purposes, for example, the blood volume of the left ventricle.
The rapid development of techniques for producing medical images, like magnetic resonance imaging (MRI), computed tomography (CT) and ultrasound, has enabled high-resolution and fine-detailed 3D images of the human body. This opens up new ways to diagnose and understand diseases, but the technology also creates new challenges. There is a great demand for automated methods as manual analysis is time-consuming and quickly becomes infeasible.
To meet this demand, this project aims both at the development of general theory and methods, and at the solution of concrete applied problems in close collaboration with clinical experts.