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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3597717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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