Title
Diffusion tensor images edge-directed interpolation Diffusion tensor images edge-directed interpolation
Author
Faculty/Department
Faculty of Sciences. Physics
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Publication type
conferenceObject
Publication
New York, N.Y. :IEEE, [*]
Subject
Physics
Human medicine
Engineering sciences. Technology
Computer. Automation
Source (book)
ISBI'10: proceedings of the 2010 IEEE International Conference on Biomedical Imaging: From Nano to Macro, Rotterdam, 14-17 April
ISBN - Hoofdstuk
978-1-4244-4125-9
ISI
000287997400188
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000287997400188&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000287997400188&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Handle