NDLI: Data driven groupwise registration of diffusion weighted images

Content Provider	IEEE Xplore Digital Library
Author	Melbourne, A. Hawkes, D.J. Atkinson, D.
Copyright Year	2010
Description	Author affiliation: Centre for Medical Image Computing, University College London, UK (Melbourne, A.; Hawkes, D.J.; Atkinson, D.)
Abstract	The acquisition of Diffusion Weighted MR images may be confounded by both patient motion and machine eddy currents, these may potentially be corrected by image registration. Two non-rigid registration schemes are compared to the result of an affine registration: a single fluid registration of the individual diffusion directions and a Progressive Principal Component Registration. All registrations are full 3D. 12 DW-MRI datasets consisting of 128×128×64 volumes from 15 diffusion directions are registered by each method and the results combined to produce fractional anisotropy maps. These maps are then inspected for improved feature appearance and fractional anisotropy variability. The affine registration demonstrates a modest improvement; image alignment by single fluid registration causes lateral brain features to appear sharper at the expense of poor deformations of themedial brain; registration by PPCR demonstrates improved contrast of lateral brain features and lower fractional anisotropy variability.
Starting Page	352
Ending Page	355
File Size	359972
Page Count	4
File Format	PDF
ISBN	9781424441259
ISSN	19457928
DOI	10.1109/ISBI.2010.5490336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-14
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tensile stress Anisotropic magnetoresistance Eddy currents Magnetic resonance imaging Equations Biomedical imaging Educational institutions Image registration Image analysis Shearing fractional anisotropy registration diffusion fluid
Content Type	Text
Resource Type	Article

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