Confocal Volume Rendering: Fast Segmentation-Free Visualization of Internal Structures

Volume rendering is now a common tool for multidimensional data exploration in biology, medicine, meteorology, geology, material science, and other fields. In order to perform volume rendering, users are often forced to preprocess and segment their data. This step of processing before visualization often inhibits the use of volume rendering as it can be quite cumbersome and can also introduce undesirable artifacts. In order to enhance the use of direct volume visualization, powerful, yet easyto-use methods need to be developed. In this paper, we present an approach that offers the user data-dependent control over the focal region (in physical depth terms) of the visualization. This approach enables the user to easily visualize interior structures in the dataset by controlling physically defined parameters, without performing segmentation.