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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
A multi-resolution framework for diffusion tensor images
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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