Title
Super-resolution for multislice diffusion tensor imaging Super-resolution for multislice diffusion tensor imaging
Author
Faculty/Department
Faculty of Sciences. Physics
Faculty of Medicine and Health Sciences
Publication type
article
Publication
New York ,
Subject
Physics
Human medicine
Computer. Automation
Source (journal)
Magnetic resonance imaging. - New York
Volume/pages
69(2013) :1 , p. 103-113
ISSN
0730-725X
ISI
000312725500012
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Diffusion weighted magnetic resonance images are often acquired with single shot multislice imaging sequences, because of their short scanning times and robustness to motion. To minimize noise and acquisition time, images are generally acquired with either anisotropic or isotropic low resolution voxels, which impedes subsequent posterior image processing and visualization. In this article, we propose a super-resolution method for diffusion weighted imaging that combines anisotropic multislice images to enhance the spatial resolution of diffusion tensor data. Each diffusion weighted image is reconstructed from a set of arbitrarily oriented images with a low through-plane resolution. The quality of the reconstructed diffusion weighted images was evaluated by diffusion tensor metrics and tractography. Experiments with simulated data, a hardware DTI phantom, as well as in vivo human brain data were conducted. Our results show a significant increase in spatial resolution of the diffusion tensor data while preserving high signal to noise ratio.
E-info
https://repository.uantwerpen.be/docman/iruaauth/f123cb/63a2836.pdf
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