A multi-resolution framework for diffusion tensor images

L.M.J. Florack, L.J. Astola

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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 languageEnglish
Title of host publication2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008)
Place of PublicationPiscataway NJ
PublisherInstitute of Electrical and Electronics Engineers
Pages1-7
ISBN (Print)978-1-4244-2339-2
DOIs
Publication statusPublished - 2008

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Florack, L. M. J., & Astola, L. J. (2008). A multi-resolution framework for diffusion tensor images. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008) (pp. 1-7). Piscataway NJ: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CVPRW.2008.4562966