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J Magn Reson. 2001 Sep;152(1):41-7.

Analytical computation of the eigenvalues and eigenvectors in DT-MRI.

Author information

1
Department of Medical Physics, University of Wisconsin, Madison, Wisconsin 53705-2280, USA. kmhasan@facstaff.wisc.edu

Abstract

In this paper a noniterative algorithm to be used for the analytical determination of the sorted eigenvalues and corresponding orthonormalized eigenvectors obtained by diffusion tensor magnetic resonance imaging (DT-MRI) is described. The algorithm uses the three invariants of the raw water spin self-diffusion tensor represented by a 3 x 3 positive definite matrix and certain math functions that do not require iteration. The implementation requires a positive definite mask to preserve the physical meaning of the eigenvalues. This algorithm can increase the speed of eigenvalue/eigenvector calculations by a factor of 5-40 over standard iterative Jacobi or singular-value decomposition techniques. This approach may accelerate the computation of eigenvalues, eigenvalue-dependent metrics, and eigenvectors especially when having high-resolution measurements with large numbers of slices and large fields of view.

PMID:
11531362
DOI:
10.1006/jmre.2001.2400
[Indexed for MEDLINE]

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