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Separating Blood and Water: Perfusion and Free Water Elimination from Diffusion MRI in the Human Brain

1Department of Medical Radiation Physics, Lund University, Lund, Sweden. Electronic address:
2Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Elsevier Science
Publication Date:
Volume Number:
Neuroimage. 2017 Aug 1;156:423-34.
PubMed ID:
Free water, IVIM, Multi-shell, Perfusion
Appears in Collections:
R01 MH102377/MH/NIMH NIH HHS/United States
R01 MH074794/MH/NIMH NIH HHS/United States
R01 MH108574/MH/NIMH NIH HHS/United States
R01 AG042512/AG/NIA NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
Generated Citation:
Rydhög A.S., Szczepankiewicz F., Wirestam R., Ahlgren A., Westin C-F., Knutsson L., Pasternak O. Separating Blood and Water: Perfusion and Free Water Elimination from Diffusion MRI in the Human Brain. Neuroimage. 2017 Aug 1;156:423-34. PMID: 28412443. PMCID: PMC5548601.
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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.