Paper
18 April 2000 Towards an image quality index in tomographic volume visualization
Andreas Pommert, Karl Heinz Hoehne
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas Pommert and Karl Heinz Hoehne "Towards an image quality index in tomographic volume visualization", Proc. SPIE 3976, Medical Imaging 2000: Image Display and Visualization, (18 April 2000); https://doi.org/10.1117/12.383034
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KEYWORDS
Visualization

Image quality

Volume visualization

Linear filtering

3D image processing

Image acquisition

Image processing

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