Literature DB >> 30659643

Dependence of the MR signal on the magnetic susceptibility of blood studied with models based on real microvascular networks.

Xiaojun Cheng1,2, Avery J L Berman2, Jonathan R Polimeni2,3, Richard B Buxton4, Louis Gagnon2,5, Anna Devor2,4,6, Sava Sakadžić2, David A Boas1,2.   

Abstract

PURPOSE: The primary goal of this study was to estimate the value of β , the exponent in the power law relating changes of the transverse relaxation rate and intra-extravascular local magnetic susceptibility differences as Δ R 2 ∗ ∝ ( Δ χ ) β . The secondary objective was to evaluate any differences that might exist in the value of β obtained using a deoxyhemoglobin-weighted Δ χ distribution versus a constant Δ χ distribution assumed in earlier computations. The third objective was to estimate the value of β that is relevant for methods based on susceptibility contrast agents with a concentration of Δ χ higher than that used for BOLD fMRI calculations.
METHODS: Our recently developed model of real microvascular anatomical networks is used to extend the original simplified Monte-Carlo simulations to compute β from the first principles.
RESULTS: Our results show that β = 1 for most BOLD fMRI measurements of real vascular networks, as opposed to earlier predictions of β = 1 .5 using uniform Δ χ distributions. For perfusion or fMRI methods based on contrast agents, which generate larger values for Δ χ , β = 1 for B 0 ≤ 9.4 T, whereas at 14 T β can drop below 1 and the variation across subjects is large, indicating that a lower concentration of contrast agent with a lower value of Δ χ is desired for experiments at high B0 .
CONCLUSION: These results improve our understanding of the relationship between R2 * and the underlying microvascular properties. The findings will help to infer the cerebral metabolic rate of oxygen and cerebral blood volume from BOLD and perfusion MRI, respectively.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  BOLD fMRI; contrast agents; microvascular network; modeling; perfusion MRI

Mesh:

Substances:

Year:  2019        PMID: 30659643      PMCID: PMC6435380          DOI: 10.1002/mrm.27660

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  34 in total

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2.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

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3.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

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8.  MR contrast due to intravascular magnetic susceptibility perturbations.

Authors:  J L Boxerman; L M Hamberg; B R Rosen; R M Weisskoff
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