HCI in Medical Visualization

Research in medical visualization lead to a remarkable collection of algorithms for efficiently exploring medical imaging data, such as CT, MRI and DTI. However, widespread use of such algorithms requires careful parameterization, integration of individual algorithms in solutions for real-world problems in diagnosis, treatment planning and intraoperative navigation. In the field of HCI, input devices, interaction techniques as well as a process for achieving usable, useful, and attractive user interfaces are explored. Findings from HCI may serve as a starting point to significantly improve visual computing solutions in medical diagnosis and treatment. We discuss general issues, such as input devices for medical visualization, and selected examples.