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However, due to the limited angular resolution of DTI the interest towards higher angular resolution diffusion MRI methodologies is increasing.
However, currently the low spatial resolution of DTI presents a considerable challenge of dissociating crossed fibers within a single voxel, and therefore limiting the detection of changes in axonal or myelin structure.
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Small subcortical nuclei and small white matter fiber tracts inherently have lower effective spatial resolution than cortical regions, and this is a limitation particularly when using the spatial resolution of standard DTI sequences (2 mm).
Our methods yield both high SNR and spatial resolution DTI data in fixed primate brains, allowing us to perform high resolution tractography which will facilitate the process of 'validation' of DTI fiber tracts against traditional measures of brain fiber architecture.
Furthermore, the addition of high angular resolution DTI provides an opportunity to study the fusion between fMRI and DTI data such as in, for example, models of a dynamically changing network of activations (fMRI) constrained by anatomically derived structural connectivity, or models that attempt to define subsets of white matter fibers involved in a particular cognitive skill.
As discussed in our previous study [ 20], the reversed trend in ROI-1 observed within the first 50 μm beneath the epicardium was not previously reported in the diffusion tensor MRI (DTI) images of mouse heart, most likely due to the insufficient spatial resolution in DTI.
Alternatively, diffusion-tensor based magnetic resonance imaging (DTI) [ 5] has been established as a state-of-art method for imaging the 3D fiber organization in the heart; however, the image resolution in DTI is usually limited to submillimeters.
DTI has provided excellent resolution of the major fiber pathways involved in speech, vision, and motor functions.
These data suggest that the detection of DTI abnormality has an added value to lateralization.
Cognitive function was evaluated at the time of DTI scanning.
However, several limitations of DTI should be considered.
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