Magn Reson Imaging. 2010 Dec;28(10):1497-506. Epub 2010 Sep 15.

Diffusion tensor image up-sampling: a registration-based approach.

Mai Z, Verhoye M, Van der Linden A, Sijbers J.

Source

IBBT-VisionLab, Department of Physics, Universiteit Antwerpen, Antwerpen, Wilrijk, 2610, Belgium. zhenhua.mai@ua.ac.be

Abstract

Diffusion weighted images (DWI), from which the corresponding diffusion tensor images (DTI) are estimated, are commonly acquired with anisotropic discretizations. Traditional methods to up-sample diffusion weighted images generally rely on scene-based interpolation and do not exploit structural information from the images. In this study, a DTI up-sampling framework is presented 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. Tests on phantom as well as on real data sets show that the proposed method is able to produce better results compared to scene based interpolation methods in terms of the accuracy of DWI/DTI interpolation, especially when diffusion tensor orientation is taken into account.

PMID:: 20833497; [PubMed - indexed for MEDLINE]

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Diffusion tensor image up-sampling: a registration-based approach.
Diffusion tensor image up-sampling: a registration-based approach.
Magn Reson Imaging. 2010 Dec ;28(10):1497-506. Epub 2010 Sep 15 .

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Diffusion tensor image up-sampling: a registration-based approach.

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