Assessment of white matter microstructure in stroke patients using NODDI

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Publication Type pre-print
School or College <blank>
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Creator Gur, Yaniv
Other Author Adluru, G.; Anderson, J. S.; Richards, L. G.; Adluru, N.; Dibella, E. V. R.
Title Assessment of white matter microstructure in stroke patients using NODDI
Date 2014-01-01
Description Diffusion weighted imaging (DWI) is widely used to study changes in white matter following stroke. In various studies employing diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI) modalities, it has been shown that fractional anisotropy (FA), mean diffusivity (MD), and generalized FA (GFA) can be used as measures of white matter tract integrity in stroke patients. However, these measures may be non-specific, as they do not directly delineate changes in tissue microstructure. Multi-compartment models overcome this limitation by modeling DWI data using a set of indices that are directly related to white matter microstructure. One of these models which is gaining popularity, is neurite orientation dispersion and density imaging (NODDI). his model uses conventional single or multi-shell HARDI data to describe fiber orientation dispersion as well as densities of different tissue types in the imaging voxel. In this paper, we apply for the first time the NODDI model to 4-shell HARDI stroke data. By computing NODDI indices over the entire brain in two stroke patients, and comparing tissue regions in ipsilesional and contralesional hemispheres, we demonstrate that NODDI modeling provides specific information on tissue microstructural changes. We also introduce an information theoretic analysis framework to investigate the non-local effects of stroke in the white matter. Our initial results suggest that the NODDI indices might be more specific markers of white matter reorganization following stroke than other measures previously used in studies of stroke recovery.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 742
Last Page 745
Language eng
Bibliographic Citation Adluru, G., Gur, Y., Anderson, J. S., Richards, L. G., Adluru, N., & Dibella, E. V. R. (2014). Assessment of white matter microstructure in stroke patients using NODDI. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 742-5.
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Identifier uspace,19423
ARK ark:/87278/s6qr86c2
Setname ir_uspace
Date Created 2016-02-02
Date Modified 2016-02-02
ID 713348
Reference URL https://collections.lib.utah.edu/ark:/87278/s6qr86c2
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