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Proceedings Paper

Optimization of image stacking as applied to x-ray angiographic sequences
Author(s): Kenneth S. Kump; Peter B. Sachs; David L. Wilson
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Paper Abstract

We are developing new image processing methods to combine a sequence of x-ray angiographic images into a single `stacked' output image with optimal visualization of fully opacified arteries. In this preliminary report, we use simulation to optimize acquisitions and image stacking methods for efficient use of contrast agent and x-ray dose. Using a Monte Carlo approach, we couple a convective-dispersive model of bolus transport to a model of x- ray image acquisition. We investigate three image processing algorithms: maximum intensity projection (MIP), matched filtering (MAT), and finite impulse response (FIR) and compare them to the unstacked (UnST) result. Since MAT is not practically applied, we have developed FIR which is a practical approximation to MAT. Comparing output images of equivalent CNR to the unstacked case with 100% contrast agent volume, FIR can reduce the contrast material dose by approximately 65% with the same x-ray exposure and frame rate. FIR is the preferred image processing algorithm because of its flexibility and high CNR result.

Paper Details

Date Published: 8 April 1996
PDF: 6 pages
Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); doi: 10.1117/12.237899
Show Author Affiliations
Kenneth S. Kump, Case Western Reserve Univ. (United States)
Peter B. Sachs, Case Western Reserve Univ. (United States)
David L. Wilson, Case Western Reserve Univ. (United States)

Published in SPIE Proceedings Vol. 2709:
Medical Imaging 1996: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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