Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Whole-brain diffusional variance decomposition (DIVIDE): Demonstration
  of technical feasibility at clinical MRI systems   Purpose: To assess the technical feasibility of whole-brain diffusional
variance decomposition (DIVIDE) based on q-space trajectory encoding (QTE) at
clinical MRI systems with varying performance. DIVIDE is used to separate
diffusional heterogeneity into components that arise due to isotropic and
anisotropic tissue structures. Methods: We designed imaging protocols for
DIVIDE using numerically optimized gradient waveforms for diffusion encoding.
Imaging was performed at systems with magnetic field strengths between 1.5 and
7 T, and gradient amplitudes between 33 and 80 mT/m. Technical feasibility was
assessed from signal characteristics and quality of parameter maps in a single
volunteer scanned at all systems. Results: The technical feasibility of QTE and
DIVIDE was demonstrated at all systems. The system with the highest performance
allowed whole-brain DIVIDE at 2 mm isotropic voxels. The system with the lowest
performance required a spatial resolution of 2.5x2.5x4 mm3 to yield a
sufficient signal-to-noise ratio. Conclusions: Whole-brain DIVIDE based on QTE
is feasible at the investigated MRI systems. This demonstration indicates that
tissue features beyond those accessible by conventional diffusion encoding may
be explored on a wide range of MRI systems.

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The categories of this paper are: patt-sol
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The categories of this paper are: stat
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: chem-ph
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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: hep-ex
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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: astro-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: eess
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The categories of this paper are: math
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The categories of this paper are: econ