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Proceedings Paper

Towards an image quality index in tomographic volume visualization
Author(s): Andreas Pommert; Karl Heinz Hoehne
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Paper Abstract

While the importance of proper segmentation or registration for the results of volume visualization is well-known, the influence of the actual visualization steps has found only little attention so far. From a signal processing point of view, a typical volume visualization pipeline is mostly a sequence of sampling and convolution operations. In this paper, we are interested how image quality in terms of blurring and aliasing artifacts depends on the choice of methods and parameters for these steps. For this purpose, signal transfer from tomographic image acquisition to ray casting visualization is analyzed in frequency space. Deterioration of a test signal along the steps of the pipeline is measured in terms of remaining useful energy and introduced aliasing energy. Effects of changing variables, such as slice thickness, interpolation method, or sampling density on the ray, are experimentally investigated. Quantitative results are related to visible effects, using simulated test data. The presented method may be used to optimize the volume visualization pipeline. Vice versa, for a 3D image with known processing parameters, it may be estimated whether structures of interest will be visible, smoothed out, or hidden among aliasing artifacts.

Paper Details

Date Published: 18 April 2000
PDF: 10 pages
Proc. SPIE 3976, Medical Imaging 2000: Image Display and Visualization, (18 April 2000); doi: 10.1117/12.383034
Show Author Affiliations
Andreas Pommert, Univ. Hospital Eppendorf (Germany)
Karl Heinz Hoehne, Univ. Hospital Eppendorf (Germany)

Published in SPIE Proceedings Vol. 3976:
Medical Imaging 2000: Image Display and Visualization
Seong Ki Mun, Editor(s)

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