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Mapping fine-scale anatomy of gray matter,white matter,and trigeminal-root region applying spherical deconvolution to high-resolution 7-T diffusion MRI
Authors:Ralf Lützkendorf  Robin M Heidemann  Thorsten Feiweier  Michael Luchtmann  Sebastian Baecke  Jörn Kaufmann  Jörg Stadler  Eike Budinger  Johannes Bernarding
Affiliation:1.Institute for Biometry and Medical Informatics,Otto-von-Guericke-University,Magdeburg,Germany;2.Siemens Healthcare GmbH,Erlangen,Germany;3.Department of Neurosurgery,Otto-von-Guericke-University,Magdeburg,Germany;4.Department of Neurology,Otto-von-Guericke-University,Magdeburg,Germany;5.Leibniz Institute for Neurobiology,Magdeburg,Germany;6.Center of Behavioral Brain Sciences,Magdeburg,Germany
Abstract:

Objectives

We assessed the use of high-resolution ultra-high-field diffusion magnetic resonance imaging (dMRI) to determine neuronal fiber orientation density functions (fODFs) throughout the human brain, including gray matter (GM), white matter (WM), and small intertwined structures in the cerebellopontine region.

Materials and methods

We acquired 7-T whole-brain dMRI data of 23 volunteers with 1.4-mm isotropic resolution; fODFs were estimated using constrained spherical deconvolution.

Results

High-resolution fODFs enabled a detailed view of the intravoxel distributions of fiber populations in the whole brain. In the brainstem region, the fODF of the extra- and intrapontine parts of the trigeminus could be resolved. Intrapontine trigeminal fiber populations were crossed in a network-like fashion by fiber populations of the surrounding cerebellopontine tracts. In cortical GM, additional evidence was found that in parts of primary somatosensory cortex, fODFs seem to be oriented less perpendicular to the cortical surface than in GM of motor, premotor, and secondary somatosensory cortices.

Conclusion

With 7-T MRI being introduced into clinical routine, high-resolution dMRI and derived measures such as fODFs can serve to characterize fine-scale anatomic structures as a prerequisite to detecting pathologies in GM and small or intertwined WM tracts.
Keywords:
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