Model-based estimation of microscopic anisotropy using diffusion MRI: a simulation study

被引:35
作者
Ianus, Andrada [1 ]
Drobnjak, Ivana [1 ]
Alexander, Daniel C. [1 ]
机构
[1] UCL, Ctr Med Image Comp, Dept Comp Sci, Gower St, London WC1E 6BT, England
基金
英国工程与自然科学研究理事会;
关键词
diffusion MRI; microscopic anisotropy; double pulsed field gradient; pore size distribution; pore eccentricity; compartment models; COMPARTMENT SHAPE ANISOTROPY; SELF-DIFFUSION; AXON DIAMETER; SPIN-ECHO; MICROSTRUCTURE SENSITIVITY; ORIENTATION DISPERSION; SIZE ESTIMATION; NMR; QUANTIFICATION; MOLECULES;
D O I
10.1002/nbm.3496
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Non-invasive estimation of cell size and shape is a key challenge in diffusion MRI. This article presents a model-based approach that provides independent estimates of pore size and eccentricity from diffusion MRI data. The technique uses a geometric model of finite cylinders with gamma-distributed radii to represent pores of various sizes and elongations. We consider both macroscopically isotropic substrates and substrates of semi-coherently oriented anisotropic pores and we use Monte Carlo simulations to generate synthetic data. We compare the sensitivity of single and double diffusion encoding (SDE and DDE) sequences to the size distribution and eccentricity, and further analyse different protocols of DDE sequences with parallel and/or perpendicular pairs of gradients. We show that explicitly accounting for size distribution is necessary for accurate microstructural parameter estimates, and a model that assumes a single size yields biased eccentricity values. We also find that SDE sequences support estimates, although DDE sequences with mixed parallel and perpendicular gradients enhance accuracy. In the case of macroscopically anisotropic substrates, this model-based approach can be extended to a rotationally invariant framework to provide features of pore shape (specifically eccentricity) in the presence of size distribution and orientation dispersion. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:672 / 685
页数:14
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