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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-7
Luc Florack , Department of Mathematics and Computer Science&Department of Biomedical Engineering, Eindhoven University of Technology, The Netherlands
Laura Astola , Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB, The Netherlands
ABSTRACT
A new scale space paradigm is proposed for multi-resolution analysis of diffusion tensor images (DTI). An a priori consistency requirement is stipulated, which precludes a linear model. A nonlinear adaptation is proposed to remedy the problem. Subsequently it is shown how differentiation can be operationalized. Considerations in this paper are relevant for DTI analysis in a differential geometric framework, in which the DTI image imposes a Riemannian structure. It adds further support in favor of the “geometric rationale”, and opens the door for a multi-resolution approach towards fibre tracking, connectivity analysis, and so forth.
CITATION
Luc Florack, Laura Astola, "A multi-resolution framework for diffusion tensor images", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-7, doi:10.1109/CVPRW.2008.4562966
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