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Proceedings Paper

Model of intravenous bolus propagation for optimization of contrast enhancement
Author(s): Ge Wang; Gary M. Raymond; Yi Li; Gary D. Schweiger; Melhem Sharafuddin; Alan H. Stolpen; Siying Yang; Zheng Li; James B. Bassingthwaighte; Michael W. Vannier
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Paper Abstract

Synchronization of contrast administration and CT imaging can maximize the signal differences between arteries and background in first pass studies. In this paper, a bolus propagation model is developed for tomographic angiography, especially CT angiography that relies on bolus peak prediction, real-time CT observation and adaptive table transport. The bolus propagation model is configured as a network of vessels and organs, each of which is described based on the vascular transport operator theory. The traditional vascular operator is augmented by introducing a longitudinal length parameter to depict the bolus propagation along a vessel. A parameter adjustment algorithm is also designed for the extended vascular operator, assuming real- time measurements of concentration-time curves are available at multiple locations along the vessel. As a result, the bolus concentration can be computed with respective to both the time since bolus injection and the location along the vessel. Numerical simulation and patient studies with CT and MRI are performed to evaluate the feasibility and utility of the bolus propagation model. Individualization of the bolus propagation model are tested. Theoretical and practical values are in excellent agreement. This bolus propagation model has a significant potential for optimization of tomographic angiography. In particular, this model can be applied to CT angiography so that the intravenous bolus peak and the X-ray imaging aperture are matched with an adaptive table transport.

Paper Details

Date Published: 20 April 2000
PDF: 12 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383425
Show Author Affiliations
Ge Wang, Univ. of Iowa (United States)
Gary M. Raymond, Univ. of Washington (United States)
Yi Li, Univ. of Iowa (United States)
Gary D. Schweiger, Univ. of Iowa (United States)
Melhem Sharafuddin, Univ. of Iowa (United States)
Alan H. Stolpen, Univ. of Iowa (United States)
Siying Yang, Univ. of Iowa (United States)
Zheng Li, Univ. of Washington (United States)
James B. Bassingthwaighte, Univ. of Washington (United States)
Michael W. Vannier, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 3978:
Medical Imaging 2000: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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