Complex geometric models of diffusion and relaxation in healthy and damaged white matter

被引:30
作者
Landman, Bennett A. [1 ]
Farrell, Jonathan A. D. [2 ,3 ,4 ]
Smith, Seth A. [2 ,3 ]
Reich, Daniel S. [5 ,6 ]
Calabresi, Peter A. [6 ]
van Zijl, Peter C. M. [2 ,3 ]
机构
[1] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[2] FM Kirby Res Ctr Funct Brain Imaging, Kennedy Krieger Inst, Baltimore, MD USA
[3] Johns Hopkins Univ, Sch Med, Neurosci Sect, Div MR Res,Dep Radiol, Baltimore, MD 21218 USA
[4] Johns Hopkins Univ, Dept Biophys & Biophys Chem, Sch Med, Baltimore, MD 21218 USA
[5] Johns Hopkins Univ, Div Neuroradiol, Dept Radiol, Sch Med, Baltimore, MD 21218 USA
[6] Johns Hopkins Univ, Dept Neurol, Sch Med, Baltimore, MD 21218 USA
关键词
Random walk; Monte-Carlo; particle simulation; DTI; DWI; reproducibility; SPIN-ECHO NMR; WATER DIFFUSION; RESTRICTED DIFFUSION; TENSOR MRI; COMPARTMENTAL-SYSTEMS; FIBER TRACKING; NERVOUS-SYSTEM; WEIGHTED MRI; OPTIC-NERVE; RESOLUTION;
D O I
10.1002/nbm.1437
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Which aspects of tissue microstructure affect diffusion weighted MRI signals? Prior models, many of which use Monte-Carlo simulations, have focused on relatively simple models of the cellular microenvironment and have not considered important anatomic details. With the advent of higher-order analysis models for diffusion imaging, such as high angular resolution diffusion imaging (HARDI), more realistic models are necessary. This paper presents and evaluates the reproducibility of simulations of diffusion in complex geometries. Our framework is quantitative, does not require specialized hardware, is easily implemented with little programming experience, and is freely available as open-source software. Models may include compartments with different diffusivities, permeabilities, and T2 time constants using both parametric (e.g. spheres and cylinders) and arbitrary (e.g. mesh-based) geometries. Three-dimensional diffusion displacement probability functions are mapped with high reproducibility, and thus can be readily used to assess reproducibility of diffusion-derived contrasts. Copyright (C) 2009 John Wiley & Sons, Ltd.
引用
收藏
页码:152 / 162
页数:11
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