A multi-resolution framework for diffusion tensor images

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

11 Citaten (Scopus)
5 Downloads (Pure)

Samenvatting

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.
Originele taal-2Engels
Titel2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008)
Plaats van productiePiscataway NJ
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1-7
ISBN van geprinte versie978-1-4244-2339-2
DOI's
StatusGepubliceerd - 2008

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  • Citeer dit

    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) (blz. 1-7). Piscataway NJ: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CVPRW.2008.4562966