3D Constrained Surface Controller for Medical Imaging

To make diagnoses from imaging technologies such as computerized tomography (CT) and magnetic resonance imaging (MRI), radiologists use 2D image planes that slice through these data at a variety of angles to obtain the most clinically informative view. However, current approaches used to orient the 2D image plane within the 3D data are cumbersome and visually distracting. Typically, current commercial medical workstations require several mouse interactions with multiple reference images to select, drag, and rotate reference lines or buttons as part of this process.