منابع مشابه
Tensor Distribution Function
Diffusion weighted MR imaging is a powerful tool that can be employed to study white matter microstructure by examing the 3D displacement profile of water molecules in brain tissue. By applying diffusion-sensitizing gradients along a minimum of 6 directions, second-order tensors can be computed to model dominant diffusion processes. However, it has been shown that conventional DTI is not suffic...
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The uniformly minimum variance unbiased (UMVU), maximum likelihood, percentile (PC), least squares (LS) and weighted least squares (WLS) estimators of the probability density function (pdf) and cumulative distribution function are derived for the generalized Rayleigh distribution. This model can be used quite effectively in modelling strength data and also modeling general lifetime data. It has...
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Approved: Thesis Supervisor Title and Department
متن کاملA Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function
Fractional anisotropy (FA), a very widely used measure of fiber integrity based on diffusion tensor imaging (DTI), is a problematic concept as it is influenced by several quantities including the number of dominant fiber directions within each voxel, each fiber's anisotropy, and partial volume effects from neighboring gray matter. With High-angular resolution diffusion imaging (HARDI) and the t...
متن کاملPartially Monotone Tensor Spline Estimation of the Joint Distribution Function with Bivariate Current Status Data
The analysis of the joint distribution function with bivariate event time data is a challenging problem both theoretically and numerically. This paper develops a tensor spline-based sieve maximum likelihood estimation method to estimate the joint distribution function with bivariate current status data. The I-spline basis functions are used in approximating the joint distribution function in or...
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ژورنال
عنوان ژورنال: Magnetic Resonance in Medicine
سال: 2008
ISSN: 0740-3194
DOI: 10.1002/mrm.21852