Characterizing Healthy and Diseased White Matter Using Quantitative Magnetization Transfer and Multicomponent T2 Relaxometry: A Unified View via a Four-Pool Model

Characterizing Healthy and Diseased White Matter Using Quantitative Magnetization Transfer and Multicomponent T2 Relaxometry: A Unified View via a Four-Pool Model
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DOI:
10.1002/mrm.22131
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发表时间:
2009-12-01
影响因子:
3.3
通讯作者:
Pike, G. Bruce
Pike, G. Bruce
中科院分区:
医学3区
文献类型:
--
作者:
Levesque, Ives R.;Pike, G. Bruce

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Nuclear magnetic resonance relaxation and magnetization transfer in cerebral white matter can be described using a four-pool model: two for water protons (in separate myelin and intra/extracellular compartments) and two for protons associated with the lipids and proteins of biologic membranes (of myelin and nonmyelin semisolids). This model was used to gain insight into the observations from multicomponent quantitative T-2 relaxometry and quantitative magnetization transfer imaging, both based on simplified white matter models and experimentally feasible in vivo. Using a set of coupled Bloch equations describing the behavior of the magnetization in a four-pool model of white matter, simulations of the quantitative T-2 relaxometry and quantitative magnetization transfer imaging techniques were performed. pathology-inspired modifications were made to the four-pool model to gauge their impact on quantitative T-2 relaxometry and quantitative magnetization transfer imaging observations. Our results show that changes in the rate of water movement between microanatomic compartments may impact otherwise stable quantitative T-2 relaxometry observations; that the measure of the quantitative magnetization transfer imaging-based semisolid pool population is robust, despite the presence of two distinct semisolid components; and that quantitative magnetization transfer imaging compartment size estimates are not influenced by changes in the T-2 of the intra/extracellular water pool. The four-pool model, while impractical for in vivo characterization, yields important insight into the interpretation of changes observed with these quantitative MRI methods based on simplified models of white matter. Magn Reson Med 62:1487-1496, 2009. (C) 2009 Wiley-Liss, Inc.