4.7 Article

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

Journal

NEUROIMAGE
Volume 40, Issue 2, Pages 570-582

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2007.12.035

Keywords

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Funding

  1. NCRR NIH HHS [U24RR021382, P41RR15241, U24 RR021382, P41 RR015241, P41 RR015241-050003, P41 RR015241-040003, P41 RR015241-078615, P41 RR015241-060003] Funding Source: Medline
  2. NIA NIH HHS [R01 AG020012-01, R01 AG020012-05S1, R01AG20012, R01 AG020012-03, R01 AG020012-02S1, R01 AG020012-02, R01 AG020012, R01 AG020012-05S2, R01 AG020012-06A1, R01 AG020012-04, R01 AG020012-05] Funding Source: Medline
  3. NIBIB NIH HHS [P41 EB015909, P01 EB00195] Funding Source: Medline

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Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DT1). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods. (C) 2008 Elsevier Inc. All rights reserved.

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