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2007
Conference Paper
Titel
Multi-volume visualization using spatialized transfer functions
Titel Supplements
Gradient- versus multi-intensity-based Approach
Abstract
Using medical imaging techniques physicians and scientists got insight into the human body. A combined presentation of registered three-dimensional data sets of the same object, which were acquired with different imaging modalities (multimodal visualization), enables the use of the advantages of the individual imaging techniques. Furthermore it compensates their disadvantages. In addition complementary information, which results from the specific characteristics of the imaging techniques, can be presented together. The last few years, the image acquisition has gone through a tremendous quality improvement and therefore the amount of image data, i.e. slices through the visualized body, has increased immense. Physicians deal with up to 300 slices when scanning through the images. But when considering more than one image modality at the same time the physicians usually reach the boundaries of their imagination - especially when the images are viewed side by side and fused only mentally. A three-dimensional visualization also offers a natural view of the object. For this purpose we present an efficient multimodal volume visualization system for threedimensional visualization of pre-registered medical data sets based on Spatialized Transfer Functions. Two different approaches were realized - a gradient- and a multiintensity based method - and their advantages and disadvantages compared.
Author(s)