Related Experiment Videos
Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain
Anna S Rydhög1, Filip Szczepankiewicz1, Ronnie Wirestam1
1Department of Medical Radiation Physics, Lund University, Barngatan 2B, SE-221 85 Lund, Sweden.
Abstract:
The assessment of the free water fraction in the brain provides important information about extracellular processes such as atrophy and neuroinflammation in various clinical conditions as well as in normal development and aging. Free water estimates from diffusion MRI are assumed to account for freely diffusing water molecules in the extracellular space, but may be biased by other pools of molecules in rapid random motion, such as the intravoxel incoherent motion (IVIM) of blood, where water molecules perfuse in the randomly oriented capillary network. The goal of this work was to separate the signal contribution of the perfusing blood from that of free-water and of other brain diffusivities. The influence of the vascular compartment on the estimation of the free water fraction and other diffusivities was investigated by simulating perfusion in diffusion MRI data. The perfusion effect in the simulations was significant, especially for the estimation of the free water fraction, and was maintained as long as low b-value data were included in the analysis. Two approaches to reduce the perfusion effect were explored in this study: (i) increasing the minimal b-value used in the fitting, and (ii) using a three-compartment model that explicitly accounts for water molecules in the capillary blood. Estimation of the model parameters while excluding low b-values reduced the perfusion effect but was highly sensitive to noise. The three-compartment model fit was more stable and additionally, provided an estimation of the volume fraction of the capillary blood compartment. The three-compartment model thus disentangles the effects of free water diffusion and perfusion, which is of major clinical importance since changes in these components in the brain may indicate different pathologies, i.e., those originating from the extracellular space, such as neuroinflammation and atrophy, and those related to the vascular space, such as vasodilation, vasoconstriction and capillary density. Diffusion MRI data acquired from a healthy volunteer, using multiple b-shells, demonstrated an expected non-zero contribution from the blood fraction, and indicated that not accounting for the perfusion effect may explain the overestimation of the free water fraction evinced in previous studies. Finally, the applicability of the method was demonstrated with a dataset acquired using a clinically feasible protocol with shorter acquisition time and fewer b-shells.
Insights
This study shows that blood flow (perfusion) in the brain can skew free water fraction estimates from diffusion MRI. A new three-compartment model accurately separates blood effects from free water, improving brain tissue analysis.
Area of Science:
- Neuroimaging
- Biophysics
- Medical Physics
Background:
- Free water fraction in brain diffusion MRI is vital for assessing extracellular processes like atrophy and neuroinflammation.
- Current methods may overestimate free water due to uncorrected intravoxel incoherent motion (IVIM) from blood perfusion.
Purpose of the Study:
- To develop and validate a method for separating the signal contribution of perfusing blood from free water and other brain diffusivities in diffusion MRI.
- To investigate the influence of the vascular compartment on free water fraction and diffusivity estimations.
Main Methods:
- Simulated perfusion in diffusion MRI data to quantify the effect of blood flow on diffusivity estimates.
- Explored two approaches: increasing minimal b-value and implementing a three-compartment model accounting for capillary blood.
- Validated the three-compartment model using diffusion MRI data from a healthy volunteer and a clinically feasible protocol.
Main Results:
- Perfusion significantly impacts free water fraction estimation, particularly when low b-value data are included.
- The three-compartment model demonstrated stability and accurately estimated the capillary blood volume fraction, disentangling perfusion from free water diffusion.
- Diffusion MRI data revealed a non-zero blood fraction, suggesting previous studies may have overestimated free water due to uncorrected perfusion.
Conclusions:
- The three-compartment diffusion MRI model effectively separates free water diffusion from blood perfusion effects.
- This improved accuracy is crucial for distinguishing between extracellular pathologies (neuroinflammation, atrophy) and vascular changes (vasodilation, capillary density).
- The method is applicable to clinically feasible diffusion MRI protocols, enhancing diagnostic potential.