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International Journal of Biomedical Imaging
Volume 2013, Article ID 576470, 9 pages
http://dx.doi.org/10.1155/2013/576470
Research Article

Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations

1Department of Radiology, Northwestern University, Chicago, IL 60611, USA
2Institute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USA
3Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37212, USA
4Program in Chemical and Physical Biology, Vanderbilt University, Nashville, TN 37212, USA
5Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37212, USA
6Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA
7Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37212, USA
8Department of Cancer Biology, Vanderbilt University, Nashville, TN 37212, USA

Received 8 April 2013; Accepted 29 August 2013

Academic Editor: Guowei Wei

Copyright © 2013 Jacob U. Fluckiger et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We show how dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data can constrain a compartmental model for analyzing dynamic positron emission tomography (PET) data. We first develop the theory that enables the use of DCE-MRI data to separate whole tissue time activity curves (TACs) available from dynamic PET data into individual TACs associated with the blood space, the extravascular-extracellular space (EES), and the extravascular-intracellular space (EIS). Then we simulate whole tissue TACs over a range of physiologically relevant kinetic parameter values and show that using appropriate DCE-MRI data can separate the PET TAC into the three components with accuracy that is noise dependent. The simulations show that accurate blood, EES, and EIS TACs can be obtained as evidenced by concordance correlation coefficients >0.9 between the true and estimated TACs. Additionally, provided that the estimated DCE-MRI parameters are within 10% of their true values, the errors in the PET kinetic parameters are within approximately 20% of their true values. The parameters returned by this approach may provide new information on the transport of a tracer in a variety of dynamic PET studies.