Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging?

The quantification of fiber integrity is central to the clinical application of diffusion imaging. Compared to diffusion tensor imaging (DTI), Q-ball imaging (QBI) allows for the depiction of multiple fiber directions within a voxel. However, this advantage has not yet been shown to translate direct...

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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2010-05, Vol.51 (1), p.242-251
Hauptverfasser: Fritzsche, Klaus H., Laun, Frederik B., Meinzer, Hans-Peter, Stieltjes, Bram
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container_title NeuroImage (Orlando, Fla.)
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creator Fritzsche, Klaus H.
Laun, Frederik B.
Meinzer, Hans-Peter
Stieltjes, Bram
description The quantification of fiber integrity is central to the clinical application of diffusion imaging. Compared to diffusion tensor imaging (DTI), Q-ball imaging (QBI) allows for the depiction of multiple fiber directions within a voxel. However, this advantage has not yet been shown to translate directly to superior quantification of fiber integrity. Furthermore, recent developments in QBI reconstruction with solid angle consideration have led to sharper and intrinsically normalized orientation distribution functions. The implications of this technique on quantification are also unknown. To investigate this, the generalized fractional anisotropy (GFA) from the original and the more recent QBI reconstruction scheme and the DTI derived fractional anisotropy (FA) were evaluated comparatively using Monte Carlo simulations and real MRI measurements of crossing fiber phantoms. Contrast-to-noise ratio, accuracy, independence of the acquisition setup and the relation of single fiber anisotropies to measured anisotropy in crossings were assessed. In homogeneous single-fiber regions at b-values around 1000 s/mm2, the FA performed best. While the original QBI reconstruction does not show a clear advantage even at higher b-values and in crossing regions, the new reconstruction scheme yields superior properties and is recommended for quantification at higher b-values and especially in regions of heterogeneous fiber configuration.
doi_str_mv 10.1016/j.neuroimage.2010.02.007
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source MEDLINE; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland
subjects Accuracy
Anisotropy
Computer Simulation
Contrast-to-noise ratio
Diffusion anisotropy indices
Diffusion Magnetic Resonance Imaging - instrumentation
Diffusion Magnetic Resonance Imaging - methods
Diffusion phantom
Diffusion tensor imaging
Diffusion Tensor Imaging - instrumentation
Diffusion Tensor Imaging - methods
Diffusion weighted imaging
Fiber crossings
Humans
Models, Neurological
Monte Carlo Method
Neural Pathways - anatomy & histology
Noise
Phantoms, Imaging
Q-ball imaging
Quantification
title Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging?
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