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 ldquogeometric rationalerdquo, and opens the door for a multi-resolution approach towards fibre tracking, connectivity analysis, and so forth.
Original language | English |
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Title of host publication | 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008) |
Place of Publication | Piscataway NJ |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1-7 |
Number of pages | 7 |
ISBN (Print) | 978-1-4244-2339-2 |
DOIs | |
Publication status | Published - 2008 |