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Updated: Feb 11, 2026

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
Published on: August 26, 2014
White matter biomarkers from diffusion MRI.
1Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark.
This review highlights advances in Nuclear Magnetic Resonance (NMR) diffusion imaging for brain tissue microstructure. New methods like diffusion kurtosis imaging offer insights into cellular-scale details beyond image resolution.
Area of Science:
- Biophysics
- Neuroimaging
- Magnetic Resonance Imaging
Background:
- NMR diffusion signals are sensitive to tissue microstructure.
- NMR has potential for cellular-scale quantitative information in brain tissue.
- Joseph Ackerman's lab has made significant contributions to this field.
Purpose of the Study:
- To review recent advances in NMR measurement of diffusion in biological media, particularly brain tissue.
- To provide a personal perspective on diffusion imaging techniques and biophysical modeling.
- To discuss future directions in the field.
Main Methods:
- Review of diffusion imaging techniques, including diffusion kurtosis imaging (DKI) and microstructural modeling.
- Presentation of new results on estimation accuracy of axial and radial kurtosis in DKI.
- Discussion of generalized diffusion sequences for microstructural information.
Main Results:
- Diffusion imaging, combined with biophysical modeling, provides quantitative, cellular-scale information.
- Diffusion kurtosis imaging (DKI) shows promise for probing tissue microstructure.
- New generalized diffusion sequences may offer independent microstructural insights.
Conclusions:
- Advances in NMR diffusion imaging offer unprecedented insights into brain tissue microstructure.
- DKI and advanced modeling techniques are crucial for understanding cellular-level changes.
- Further validation and exploration of novel sequences are needed for future applications.
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