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Magnetic Resonance in Medicine
Article . 2015 . Peer-reviewed
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Radial q‐space sampling for DSI

Authors: Steven H, Baete; Stephen, Yutzy; Fernando E, Boada;

Radial q‐space sampling for DSI

Abstract

PurposeDiffusion spectrum imaging (DSI) has been shown to be an effective tool for noninvasively depicting the anatomical details of brain microstructure. Existing implementations of DSI sample the diffusion encoding space using a rectangular grid. Here we present a different implementation of DSI whereby a radially symmetric q‐space sampling scheme for DSI is used to improve the angular resolution and accuracy of the reconstructed orientation distribution functions.MethodsQ‐space is sampled by acquiring several q‐space samples along a number of radial lines. Each of these radial lines in q‐space is analytically connected to a value of the orientation distribution functions at the same angular location by the Fourier slice theorem.ResultsComputer simulations and in vivo brain results demonstrate that radial diffusion spectrum imaging correctly estimates the orientation distribution functions when moderately high b‐values (4000 s/mm2) and number of q‐space samples (236) are used.ConclusionThe nominal angular resolution of radial diffusion spectrum imaging depends on the number of radial lines used in the sampling scheme, and only weakly on the maximum b‐value. In addition, the radial analytical reconstruction reduces truncation artifacts which affect Cartesian reconstructions. Hence, a radial acquisition of q‐space can be favorable for DSI. Magn Reson Med 76:769–780, 2016. © 2015 Wiley Periodicals, Inc.

Related Organizations
Keywords

Fourier Analysis, Brain, Reproducibility of Results, Signal Processing, Computer-Assisted, Image Enhancement, Sensitivity and Specificity, White Matter, Diffusion Tensor Imaging, Data Interpretation, Statistical, Sample Size, Image Interpretation, Computer-Assisted, Anisotropy, Humans, Algorithms

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    18
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
bronze