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高角分辨率扩散成像中纤维取向概率密度函数的估计

Estimation of fiber orientation probability density functions in high angular resolution diffusion imaging.

作者信息

Tristán-Vega Antonio, Westin Carl-Fredrik, Aja-Fernández Santiago

机构信息

Laboratory of Image Processing, University of Valladolid, Spain.

出版信息

Neuroimage. 2009 Aug 15;47(2):638-50. doi: 10.1016/j.neuroimage.2009.04.049. Epub 2009 Apr 22.

Abstract

An estimator of the Orientation Probability Density Function (OPDF) of fiber tracts in the white matter of the brain from High Angular Resolution Diffusion data is presented. Unlike Q-Balls, which use the Funk-Radon transform to estimate the radial projection of the 3D Probability Density Function, the Jacobian of the spherical coordinates is included in the Funk-Radon approximation to the radial integral. Thus, true angular marginalizations are computed, which allows a strict probabilistic interpretation. Extensive experiments with both synthetic and real data show the better capability of our method to characterize complex micro-architectures compared to other related approaches (Q-Balls and Diffusion Orientation Transform), especially for low values of the diffusion weighting parameter.

摘要

提出了一种从高角分辨率扩散数据估计脑白质中纤维束方向概率密度函数(OPDF)的方法。与使用Funk-Radon变换来估计三维概率密度函数的径向投影的Q球不同,在对径向积分的Funk-Radon近似中包含了球坐标的雅可比行列式。因此,计算出了真实的角度边缘化,这允许进行严格的概率解释。与其他相关方法(Q球和扩散方向变换)相比,对合成数据和真实数据的大量实验表明,我们的方法在表征复杂微结构方面具有更好的能力,特别是对于低扩散加权参数值的情况。

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