Dependence of the MR signal on the magnetic susceptibility of blood studied with models based on real microvascular networks. Issue 6 (18th January 2019)

• Record Type: Journal Article
• Authors: Cheng, Xiaojun; Berman, Avery J.L.; Polimeni, Jonathan R.; Buxton, Richard B.; Gagnon, Louis; Devor, Anna; Sakadžić, Sava; Boas, David A.
• Is Part Of: Magnetic resonance in medicine. Volume 81:Issue 6(2019)
• Page Start: 3865
• Page End: 3874
• Publication Date: 2019-01-18
• Subjects: BOLD fMRI -- contrast agents -- microvascular network -- modeling -- perfusion MRI; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.27660
• Languages: English
• ISSNs: 0740-3194

Abstract

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.