Publication
Title
Diffusion tensor images edge-directed interpolation
Author
Abstract
It has been demonstrated that, for scalar images, edge-directed interpolation techniques are able to produce better results, both visually and quantitatively, than non-adaptive traditional interpolation methods. We have extended the edge-directed concept to the interpolation of multi-valued diffusion tensor images. The interpolation framework is based on the improved edge-directed scalar image interpolation, which does not require estimation of local edges, and which interpolates the tensors in their mathematically native Riemannian space in order to respect tensor geometry of positive semi-definiteness. The framework has been tested on phantom scalar images and real diffusion tensor images, and is shown to be able to achieve better results than the Euclidean non-adaptive methods.
Language
English
Source (book)
ISBI'10: proceedings of the 2010 IEEE International Conference on Biomedical Imaging: From Nano to Macro, Rotterdam, 14-17 April
Publication
New York, N.Y. : IEEE, 2010
ISBN
978-1-4244-4125-9
Volume/pages
p. 732-735
ISI
000287997400188
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 29.11.2010
Last edited 08.06.2017
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