Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations
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) ava...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2013/576470 |
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| author | Jacob U. Fluckiger Xia Li Jennifer G. Whisenant Todd E. Peterson John C. Gore Thomas E. Yankeelov |
| author_facet | Jacob U. Fluckiger Xia Li Jennifer G. Whisenant Todd E. Peterson John C. Gore Thomas E. Yankeelov |
| author_sort | Jacob U. Fluckiger |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6b7f49e31e274254aa9e6bd1ccbb5a7d |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-6b7f49e31e274254aa9e6bd1ccbb5a7d2025-02-03T01:02:18ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/576470576470Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and SimulationsJacob U. Fluckiger0Xia Li1Jennifer G. Whisenant2Todd E. Peterson3John C. Gore4Thomas E. Yankeelov5Department of Radiology, Northwestern University, Chicago, IL 60611, USAInstitute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USAInstitute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USAInstitute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USAInstitute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USAInstitute of Imaging Science, Vanderbilt University, Nashville, TN 37212, USAWe 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.http://dx.doi.org/10.1155/2013/576470 |
| spellingShingle | Jacob U. Fluckiger Xia Li Jennifer G. Whisenant Todd E. Peterson John C. Gore Thomas E. Yankeelov Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations International Journal of Biomedical Imaging |
| title | Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations |
| title_full | Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations |
| title_fullStr | Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations |
| title_full_unstemmed | Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations |
| title_short | Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Data to Constrain a Positron Emission Tomography Kinetic Model: Theory and Simulations |
| title_sort | using dynamic contrast enhanced magnetic resonance imaging data to constrain a positron emission tomography kinetic model theory and simulations |
| url | http://dx.doi.org/10.1155/2013/576470 |
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