NDLI: Diffusion Tensor Images Upsampling: A Registration-Based Approach

Content Provider	IEEE Xplore Digital Library
Author	Zhenhua Mai Verhoye, M. Linden, A. Sijbers, J.
Copyright Year	2009
Abstract	Diffusion weighted images (DWI), from which the corresponding diffusion tensor images (DTI) are estimated, are commonly acquired with anisotropic discretizations. Traditional scene-based interpolation methods to upsample diffusion weighted images do not lead to satisfactory results since they do not exploit structural information from the images. In this paper, we present a DTI upsampling framework that incorporates the underlying anatomical shape information by means of non-rigid inter-slice registration. A strategy is proposed to reorient the interpolated tensor in order to maintain its proper orientation. We tested our framework on phantom as well as on real data sets. Both results show that our method is able to produce more accurate results, in terms of both precisions of DW/DTI interpolation and diffusion tensor orientation.
Starting Page	36
Ending Page	40
File Size	480900
Page Count	5
File Format	PDF
ISBN	9781424448753
DOI	10.1109/IMVIP.2009.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-02
Publisher Place	Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Data mining Diffusion tensor imaging Interpolation Image motion analysis Upsampling Tensile stress Anisotropic magnetoresistance Machine vision DW/DTI Registration-based Interpolation Nonlinear optics Testing
Content Type	Text
Resource Type	Article

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