## Abstract With current approaches, it is difficult to visually comprehend the complete information contained in a diffusion tensor (DT) measured from a microscopically heterogeneous biological tissue. Therefore, in this work the Mohr diagram is introduced to graphically display the key aspects of
Anisotropic noise propagation in diffusion tensor MRI sampling schemes
β Scribed by P.G. Batchelor; D. Atkinson; D.L.G. Hill; F. Calamante; A. Connelly
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 375 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0740-3194
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β¦ Synopsis
Abstract
The subject of this study is the controversial choice of directions in diffusion tensor MRI (DTβMRI); specifically, the numerical algebra related to this choice. In DTβMRI, apparent diffusivities are sampled in six or more directions and a leastβsquares equation is solved to reconstruct the diffusion tensor. Numerical characteristics of the system are considered, in particular the condition number and normal matrix, and are shown to be dependent on the relative orientation of the tensor with respect to the laboratory frame. As a consequence, noise propagation can be anisotropic. However, the class of icosahedral direction schemes is an exception, and icosahedral directions have the same condition number and normal matrix for direction encoding as the ideal scheme with an infinite number of directions. This normal matrix and its condition number are rotationally invariant. Numerical simulations show that for icosahedral schemes with 30 directions the standard deviation of the fractional anisotropy is both low and nearly independent of fiber orientation. The recommended choice of directions for a DTβMRI experiment is therefore the icosahedral set of directions with the highest number of directions achievable in the available time. Magn Reson Med 49:1143β1151, 2003. Β© 2003 WileyβLiss, Inc.
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Diffusion tensor mapping with MRI can noninvasively track neural connectivity and has great potential for neural scientific research and clinical applications. For each diffusion tensor imaging (DTI) data acquisition scheme, the diffusion tensor is related to the measured apparent diffusion coeffici
## Abstract Fractional anisotropy (FA) and relative anisotropy (RA) are the two most commonly used scalar measures of anisotropy in diffusion tensor (DT) MRI. While a few published studies have shown that FA has superior noise immunity relative to RA, no theoretical basis has been proposed to expla
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