An Error-Controlled Octree Data Structure for Large-Scale Visualization
Dmitriy V. Pinskiy, Jörg Meyer, Bernd Hamann, Kenneth I. Joy, Eric Brugger, Mark A. Duchaineau · 2000
The fields of medical imaging, vector field visualization, flow simulation, and computational fluid dynamics (CFD) produce large data sets. These datasets cannot be rendered in a reasonable amount of time. Rendering a complete data set at high resolution is often timeconsuming and intractable. Moreover, if a user is interested in only one small portion of a data set, it is wasteful to render the whole data set at high resolution. For example, a medical researcher might be interested not in an entire MRI data set, but only in a certain subregion.