ArticlePloS one2013
A simulation tool for dynamic contrast enhanced MRI.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Feasibility of Spin- and Gradient-Echo Dynamic Susceptibility Contrast MRI for Microvascular Characterization at 7 Tesla.NMR in biomedicine · 2026Article
- "MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation".Journal of magnetic resonance imaging : JMRI · 2025Review
- Fast MR signal simulations of microvascular and diffusion contributions using histogram-based approximation and recurrent neural networks.Magnetic resonance in medicine · 2025Article
- Evaluating BOLD functional MRI biophysical simulation approaches: impact of vascular geometry, magnetic field calculations, and water diffusion models.bioRxiv : the preprint server for biology · 2025Article
- Exploring the need for a preload on the estimation of permeability, vessel radius, and relative cerebral blood volume in MR vascular fingerprinting-based dynamic susceptibility contrast perfusion imaging.Magnetic resonance in medicine · 2025Article
- BOLDsωimsuite: A new software suite for forward modeling of the BOLD fMRI signal.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The Road to a Realistic 3D Model for Estimating RNMR in biomedicine · 2025Article
- Enhancing MR vascular Fingerprinting with realistic microvascular geometries.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Dependency of RNMR in biomedicine · 2022Article
- A simulation study investigating potential diffusion-based MRI signatures of microstrokes.Scientific reports · 2021Article
- Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020Review
- Heritable modifiers of the tumor microenvironment influence nanoparticle uptake, distribution and response to photothermal therapy.Theranostics · 2020Article
- The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.Magnetic resonance in medicine · 2018Article
- Analysis of vascular homogeneity and anisotropy on high-resolution primate brain imaging.Human brain mapping · 2017Article
- MR Vascular Fingerprinting in Stroke and Brain Tumors Models.Scientific reports · 2016Article
- Assessing tumor cytoarchitecture using multiecho DSC-MRI derived measures of the transverse relaxivity at tracer equilibrium (TRATE).Magnetic resonance in medicine · 2015Article
- State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.Neuroradiology · 2015Review
- Numerical modeling of susceptibility-related MR signal dephasing with vessel size measurement: phantom validation at 3T.Magnetic resonance in medicine · 2014Article
- Multiscale and multi-modality visualization of angiogenesis in a human breast cancer model.Angiogenesis · 2014Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 R1 and R2 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 (< 5% 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 TE = 5 ms 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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