Visual Exploration and Analysis of Volumetric Data

Abstract

Information technology has led to a rapid increase in the amount of data that arise in areas such as biology, medicine, climate science, and engineering. In many cases, these data are volumetric in nature, i.e., they describe the distribution of one or several quantities over a region in space. Volume visualization is the field of research which investigates the transformation of such data sets into images for purposes such as understanding structure or identifying features. This thesis presents work to aid this process by improving the interactive depiction, analysis, and exploration of volumetric data.