Minimization of imaging gradient effects in diffusion tensor imaging.

Abstract:

:A new, sample independent optimization criterion for minimizing the effect of the imaging gradients, including the directional awareness they create, is defined for diffusion tensor imaging (DTI) experiments. The DTI linear algebraic framework is expanded to a normed space to design optimal diffusion gradient schemes (DGS) in an integral fashion without separating the magnitude and direction of the DGS vectors. The feasible space of DGS vectors, for which the estimation equations are determinate, thus a hard constraint for the optimization, is parametrized. Newly generated optimal DGSs demonstrate on an isotropic sample and an ex-vivo baboon brain that the optimization goals are reached as well as a significant increase in estimation performance.

journal_name

IEEE Trans Med Imaging

authors

Özcan A

doi

10.1109/TMI.2010.2090539

subject

Has Abstract

pub_date

2011-03-01 00:00:00

pages

642-54

issue

3

eissn

0278-0062

issn

1558-254X

journal_volume

30

pub_type

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