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A Simulation Tool for Dynamic Contrast Enhanced MRI

The quantification of bolus-tracking MRI techniques remains challenging. The acquisition usually relies on one contrast and the analysis on a simplified model of the various phenomena that arise within a voxel, leading to inaccurate perfusion estimates. To evaluate how simplifications in the interst...

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Autores principales: Pannetier, Nicolas Adrien, Debacker, Clément Stéphan, Mauconduit, Franck, Christen, Thomas, Barbier, Emmanuel Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3597717/
https://www.ncbi.nlm.nih.gov/pubmed/23516414
http://dx.doi.org/10.1371/journal.pone.0057636
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author Pannetier, Nicolas Adrien
Debacker, Clément Stéphan
Mauconduit, Franck
Christen, Thomas
Barbier, Emmanuel Luc
author_facet Pannetier, Nicolas Adrien
Debacker, Clément Stéphan
Mauconduit, Franck
Christen, Thomas
Barbier, Emmanuel Luc
author_sort Pannetier, Nicolas Adrien
collection PubMed
description The quantification of bolus-tracking MRI techniques remains challenging. The acquisition usually relies on one contrast and the analysis on a simplified model of the various phenomena that arise within a voxel, leading to inaccurate perfusion estimates. To evaluate how simplifications in the interstitial model impact perfusion estimates, we propose a numerical tool to simulate the MR signal provided by a dynamic contrast enhanced (DCE) MRI experiment. Our model encompasses the intrinsic [Image: see text] and [Image: see text] relaxations, the magnetic field perturbations induced by susceptibility interfaces (vessels and cells), the diffusion of the water protons, the blood flow, the permeability of the vessel wall to the the contrast agent (CA) and the constrained diffusion of the CA within the voxel. The blood compartment is modeled as a uniform compartment. The different blocks of the simulation are validated and compared to classical models. The impact of the CA diffusivity on the permeability and blood volume estimates is evaluated. Simulations demonstrate that the CA diffusivity slightly impacts the permeability estimates ([Image: see text] for classical blood flow and CA diffusion). The effect of long echo times is investigated. Simulations show that DCE-MRI performed with an echo time [Image: see text] may already lead to significant underestimation of the blood volume (up to 30% lower for brain tumor permeability values). The potential and the versatility of the proposed implementation are evaluated by running the simulation with realistic vascular geometry obtained from two photons microscopy and with impermeable cells in the extravascular environment. In conclusion, the proposed simulation tool describes DCE-MRI experiments and may be used to evaluate and optimize acquisition and processing strategies.
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spelling pubmed-35977172013-03-20 A Simulation Tool for Dynamic Contrast Enhanced MRI Pannetier, Nicolas Adrien Debacker, Clément Stéphan Mauconduit, Franck Christen, Thomas Barbier, Emmanuel Luc PLoS One Research Article The quantification of bolus-tracking MRI techniques remains challenging. The acquisition usually relies on one contrast and the analysis on a simplified model of the various phenomena that arise within a voxel, leading to inaccurate perfusion estimates. To evaluate how simplifications in the interstitial model impact perfusion estimates, we propose a numerical tool to simulate the MR signal provided by a dynamic contrast enhanced (DCE) MRI experiment. Our model encompasses the intrinsic [Image: see text] and [Image: see text] relaxations, the magnetic field perturbations induced by susceptibility interfaces (vessels and cells), the diffusion of the water protons, the blood flow, the permeability of the vessel wall to the the contrast agent (CA) and the constrained diffusion of the CA within the voxel. The blood compartment is modeled as a uniform compartment. The different blocks of the simulation are validated and compared to classical models. The impact of the CA diffusivity on the permeability and blood volume estimates is evaluated. Simulations demonstrate that the CA diffusivity slightly impacts the permeability estimates ([Image: see text] for classical blood flow and CA diffusion). The effect of long echo times is investigated. Simulations show that DCE-MRI performed with an echo time [Image: see text] may already lead to significant underestimation of the blood volume (up to 30% lower for brain tumor permeability values). The potential and the versatility of the proposed implementation are evaluated by running the simulation with realistic vascular geometry obtained from two photons microscopy and with impermeable cells in the extravascular environment. In conclusion, the proposed simulation tool describes DCE-MRI experiments and may be used to evaluate and optimize acquisition and processing strategies. Public Library of Science 2013-03-14 /pmc/articles/PMC3597717/ /pubmed/23516414 http://dx.doi.org/10.1371/journal.pone.0057636 Text en © 2013 Pannetier et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pannetier, Nicolas Adrien
Debacker, Clément Stéphan
Mauconduit, Franck
Christen, Thomas
Barbier, Emmanuel Luc
A Simulation Tool for Dynamic Contrast Enhanced MRI
title A Simulation Tool for Dynamic Contrast Enhanced MRI
title_full A Simulation Tool for Dynamic Contrast Enhanced MRI
title_fullStr A Simulation Tool for Dynamic Contrast Enhanced MRI
title_full_unstemmed A Simulation Tool for Dynamic Contrast Enhanced MRI
title_short A Simulation Tool for Dynamic Contrast Enhanced MRI
title_sort simulation tool for dynamic contrast enhanced mri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3597717/
https://www.ncbi.nlm.nih.gov/pubmed/23516414
http://dx.doi.org/10.1371/journal.pone.0057636
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