Visualization of 3D cluster results for medical tomographic image data

We present an approach for the 3D visualization of clustered tomographic image data using the example of breast perfusion image data. Our visualization provides fast visual access to the amount of clusters, cluster size, presence and amount of outliers, and the spatial extent as well as the spatial orientation of the clusters. The spatial perception of a cluster´s elements is improved with a connection via geometric primitives and appropriate shading styles and color mapping. Our technique can be easily adapted to any cluster result arising from medical tomographic image data.