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Diffusion Tensor Analysis with Invariant Gradients and Rotation TangentsG. Kindlmann, Daniel B. Ennis, Ross T. Whitaker, C.-F. WestinIEEE Transactions on Medical Imaging Volume 26, Number 11, Pages 1483-1499 November, 2007
AbstractGuided by empirically established connections between clinically important tissue properties and diffusion tensor parameters, we introduce a framework for decomposing variations in diffusion tensors into changes in shape and orientation. Tensor shape and orientation both have three degrees of freedom, spanned by invariant gradients and rotation tangents, respectively. As an initial demonstration of the framework, we create a tunable measure of tensor difference that can selectively respond to shape and orientation. Second, to analyze the spatial gradient in a tensor volume (a third-order tensor), our framework generates edge strength measures that can discriminate between different neuroanatomical boundaries, as well as creating a novel detector of white matter tracts that are adjacent yet distinctly oriented. Finally, we apply the framework to decompose the fourth-order diffusion covariance tensor into individual and aggregate measures of shape and orientation covariance, including a direct approximation for the variance of tensor invariants such as fractional anisotropy.
ReferenceKindlmann G, Ennis DB, Whitaker RT, Westin CF. Diffusion tensor analysis with invariant gradients and rotation tangents. IEEE Transactions on Medical Imaging 2007;26(11):1483-1499.Bibtex entry
@ARTICLE{kindlmannTMI07,
author = {Gordon Kindlmann and Daniel B. Ennis and Ross T. Whitaker
and Carl-Fredrik Westin},
title = {Diffusion Tensor Analysis with Invariant Gradients and
Rotation Tangents},
journal = {IEEE Transactions on Medical Imaging},
year = {2007},
volume = {26},
pages = {1483--1499},
number = {11},
month = {November},
doi = "10.1109/TMI.2007.907277"}
GrantsNIH T32-EB002177 NIBIB, NIH K99-HL087614, NIH U41-RR019703, NIH R01-MH074794, NIH P41-RR13218 (NAC), NIH U54-EB005149 (NAMIC)Copyright Information© IEEE. Copyrights to this PDF document are held by the IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented electronically to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
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