Neuroradiology

, Volume 52, Issue 8, pp 699–710

Voxel-based analysis of the diffusion tensor

  • Osamu Abe
  • Hidemasa Takao
  • Wataru Gonoi
  • Hiroki Sasaki
  • Mizuho Murakami
  • Hiroyuki Kabasawa
  • Hiroshi Kawaguchi
  • Masami Goto
  • Haruyasu Yamada
  • Hidenori Yamasue
  • Kiyoto Kasai
  • Shigeki Aoki
  • Kuni Ohtomo
Topic Article

DOI: 10.1007/s00234-010-0716-3

Cite this article as:
Abe, O., Takao, H., Gonoi, W. et al. Neuroradiology (2010) 52: 699. doi:10.1007/s00234-010-0716-3

Abstract

Introduction

Diffusion tensor imaging (DTI) has provided important insights into the neurobiological basis for normal development and aging and various disease processes in the central nervous system. The aim of this article is to review the current protocols for DTI acquisition and preprocessing and statistical testing for a voxelwise analysis of DTI, focused on statistical parametric mapping (SPM) and tract-based spatial statistics (TBSS).

Methods

We tested the effects of distortion correction induced by gradient nonlinearity on fractional anisotropy (FA) maps or FA skeletons processed via two SPM-based methods (coregistration and FA template methods), or TBSS-based method, respectively.

Results

With two SPM-based methods, we found similar results in some points (e.g., significant FA elevation for uncorrected images in anterior-dominant white matter and for corrected images in bilateral middle cerebellar peduncles) and different results in other points (e.g., significantly larger FA for corrected images with coregistration method, but significantly smaller with FA template method in bilateral internal capsules, extending to corona radiata, and semioval centers). In contrast, there was no area with significant difference between uncorrected and corrected FA skeletons with TBSS-based method.

Conclusion

The discrepancy among these results was not explained in full, but possible explanations were misregistration and smoothing for the SPM-based methods and insensitivity to FA changes outside the local centers of white matter bundles for TBSS-based method.

Keywords

Central nervous system Diffusion tensor imaging Gradient nonlinearity distortion correction Statistical parametric mapping Tract-based spatial statistics Voxel-based morphometry 

Abbreviations

3D

Three-dimensional

AD

Axial diffusivity

DTI

Diffusion tensor imaging

EPI

Echo planar imaging

FA

Fractional anisotropy

FSL

FMRIB Software Library

FSPGR

Fast spoiled-gradient recalled acquisition in the steady state

MD

Mean diffusivity

NEX

Number of excitation

RA

Relative anisotropy

RD

Radial diffusivity

ROI

Region of interest

SPM

Statistical parametric mapping

TBSS

Tract-based spatial statistics

VR

Volume ratio

VBM

Voxel-based morphometry

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Osamu Abe
    • 1
  • Hidemasa Takao
    • 1
  • Wataru Gonoi
    • 1
  • Hiroki Sasaki
    • 1
  • Mizuho Murakami
    • 1
  • Hiroyuki Kabasawa
    • 2
  • Hiroshi Kawaguchi
    • 3
  • Masami Goto
    • 4
  • Haruyasu Yamada
    • 5
  • Hidenori Yamasue
    • 6
  • Kiyoto Kasai
    • 6
  • Shigeki Aoki
    • 7
  • Kuni Ohtomo
    • 1
  1. 1.Department of Radiology, Graduate School of MedicineUniversity of TokyoTokyoJapan
  2. 2.MR Applied Science Laboratory JapanGE Yokogawa Medical SystemsTokyoJapan
  3. 3.Molecular Imaging CenterNational Institute of Radiological SciencesChiba-shiJapan
  4. 4.Department of Radiological TechnologyUniversity of Tokyo HospitalTokyoJapan
  5. 5.Department of Radiology, Chiba Medical CenterTeikyo UniversityChibaJapan
  6. 6.Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
  7. 7.Department of Radiology, Graduate School of MedicineJuntendo UniversityTokyoJapan