A novel measure of fractional anisotropy based on the tensor distribution function
Zhan, L., Leow, A. D., Zhu, S., Baryshev, M., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., & Thompson, P. M. (2009) A novel measure of fractional anisotropy based on the tensor distribution function. In Yang, Guan-Zhong, Hawkes, David, Rueckert, Daniel, Noble, Alison, & Taylor, Chris (Eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009: 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I, Springer Berlin Heidelberg, London, UK, pp. 845-852.
Fractional anisotropy (FA), a very widely used measure of fiber integrity based on diffusion tensor imaging (DTI), is a problematic concept as it is influenced by several quantities including the number of dominant fiber directions within each voxel, each fiber's anisotropy, and partial volume effects from neighboring gray matter. With High-angular resolution diffusion imaging (HARDI) and the tensor distribution function (TDF), one can reconstruct multiple underlying fibers per voxel and their individual anisotropy measures by representing the diffusion profile as a probabilistic mixture of tensors. We found that FA, when compared with TDF-derived anisotropy measures, correlates poorly with individual fiber anisotropy, and may sub-optimally detect disease processes that affect myelination. By contrast, mean diffusivity (MD) as defined in standard DTI appears to be more accurate. Overall, we argue that novel measures derived from the TDF approach may yield more sensitive and accurate information than DTI-derived measures.
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|Item Type:||Conference Paper|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2009 Springer Berlin Heidelberg|
|Deposited On:||09 Oct 2015 02:41|
|Last Modified:||21 Oct 2015 01:33|
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