Spatial normalization of diffusion tensor fields

Dongrong Xu, Susumu Mori, Dinggang Shen, Peter C.M. Van Zijl, Christos Davatzikos

Research output: Contribution to journalArticle

Abstract

A method for the spatial normalization and reorientation of diffusion tensor (DT) fields is presented. Spatial normalization of tensor fields requires an appropriate reorientation of the tensor on each voxel, in addition to its relocation into the standardized space. This appropriate tensor reorientation is determined from the spatial normalization transformation and from an estimate of the underlying fiber direction. The latter is obtained by treating the principal eigenvectors of the tensor field around each voxel as random samples drawn from the probability distribution that represents the direction of the underlying fiber. This approach was applied to DT images from nine normal volunteers, and the results show a significant improvement in signal-to-noise ratio (SNR) after spatial normalization and averaging of tensor fields across individuals. The statistics of the spatially normalized tensor field, which represents the tensor characteristics of normal individuals, may be useful for quantitatively characterizing individual variations of white matter structures revealed by DT imaging (DTI) and deviations caused by pathology. Simulated experiments using this methodology are also described.

Original languageEnglish (US)
Pages (from-to)175-182
Number of pages8
JournalMagnetic resonance in medicine
Volume50
Issue number1
DOIs
StatePublished - Jul 1 2003

Keywords

  • Diffusion tensor image warping
  • Fractional anisotropy
  • Statistical anatomical atlases
  • Tensor reorientation
  • White matter fibers

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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