Cart (Loading....) | Create Account
Close category search window

Improved Warping of Diffusion Tensor Fields Free of Artifacts

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Dongrong Xu ; Shanghai Key Lab. of Functional Magn. Resonance Imaging, East China Normal Univ., Shanghai ; Peterson, B.S.

Warping diffusion tensor (DT) fields accurately is much more complicated than that of conventional scalar images. It requires tensors be reoriented in the space to which the tensors are warped based on both the local deformation field and the orientation of the underlying fibers in the original image. Because DT images contain high dimensional information of both spatial orientation and magnitude, standard warping using backward mapping for regular intensity-based images cannot be applied to warp DT images. Therefore, all existing algorithms for warping tensors typically use forward mapping deformations; forward mapping, however, can also create artifacts by failing to define accurately the voxels in the template space where the local deformation is expanding. To overcome this disadvantage, we propose a novel method for the spatial normalization of DT fields that uses a bijection to warp DT datasets from one imaging space to another, without generating artifacts.

Published in:

BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on  (Volume:2 )

Date of Conference:

27-30 May 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.