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Proceedings Paper

Application of indicator dilution theory to time-density curves obtained from dynamic contrast images
Author(s): Anne V. Clough; Albert J. Manuel; Steven T. Haworth; Christopher A. Dawson
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Paper Abstract

Typically, indicator dilution theory is applied to time- density curves acquired from dynamic contrast images, including x-ray planar and fast CT, for determination of blood circulation parameters. The original theory developed by Zierler and now applied to image curves assumes that the time- density curves are flow-sampled, i.e. each particle of indicator is counted for a time proportional to its velocity so that particles traveling within streamlines with higher or lower flow contribute equally to the measured concentration. However, curves obtained from images are instead cross- sectionally sampled, i.e, each indicator particle is counted for a time proportional to its residence time within the ROI, (inversely proportional to its velocity), so that particles traveling within low flow streamlines contribute relatively more to the measured concentration than do particles within higher flow streamlines. We illustrate some of the potential pitfalls encountered when applying the conventional theory directly to image curves and propose a strategy for accounting for the cross-sectional error in the transit time estimate. The correction method was applied to a known simulated network system for verification and illustration of its usefulness. Finally, to illustrate its applicability, the method was implemented on experimental image curves obtained from a microfocal x-ray imaging system.

Paper Details

Date Published: 20 April 2000
PDF: 9 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383428
Show Author Affiliations
Anne V. Clough, Marquette Univ. (United States)
Albert J. Manuel, Marquette Univ. (United States)
Steven T. Haworth, Medical College of Wisconsin and Zablocki VA Medical Ctr. (United States)
Christopher A. Dawson, Marquette Univ., Medical College of Wisconsin, and Zablocki VA Medical Ctr. (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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