## Abstract Diffusion tensor imaging (DTβMRI or DTI) is an emerging imaging modality whose importance has been growing considerably. However, the processing of this type of data (i.e., symmetric positiveβdefinite matrices), called βtensorsβ here, has proved difficult in recent years. Usual Euclidea
A rigorous framework for diffusion tensor calculus
β Scribed by P. G. Batchelor; M. Moakher; D. Atkinson; F. Calamante; A. Connelly
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 262 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0740-3194
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β¦ Synopsis
Abstract
In biological tissue, all eigenvalues of the diffusion tensor are assumed to be positive. Calculations in diffusion tensor MRI generally do not take into account this positive definiteness property of the tensor. Here, the space of positive definite tensors is used to construct a framework for diffusion tensor analysis. The method defines a distance function between a pair of tensors and the associated shortest path (geodesic) joining them. From this distance a method for computing tensor means, a new measure of anisotropy, and a method for tensor interpolation are derived. The method is illustrated using simulated and in vivo data. Magn Reson Med 53:221β225, 2005. Β© 2004 WileyβLiss, Inc.
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