A step towards developing MR elastography and diffusion tensor imaging as complementary MR tools to improve the management of hydrocephalus.
Lauriane Jugé 1,2, Alice C. Pong1, Andre Bongers3, Ralph Sinkus4, Lynne E. Bilston1,5, and Shaokoon Cheng6

1Neuroscience Research Australia, Randwick, NSW, Australia, 2School of Medical Sciences, University of New South Wales, Kensington, NSW, Australia, 3Biological Resources Imaging Laboratory, University of New South Wales, Kensington, NSW, Australia, 4BHF Centre of Excellence, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 5Prince of Wales Clinical School, University of New South Wales, Kensington, NSW, Australia, 6Department of Engineering, Faculty of Science, Macquarie University, North Ryde, NSW, Australia

Synopsis

Hydrocephalus is characterised by enlarged ventricles resulting in compression of surrounding tissues. Conventional imaging techniques depict ventricle size accurately. However, they are limited to detect changes in brain microstructure. The aim of this work was to quantify changes in brain mechanical and diffusion properties during the development of hydrocephalus in rats, using MR Elastography and Diffusion Tensor Imaging. Results showed that both techniques have the potential to be complementary imaging tools for tracking the effects of hydrocephalus on the tissue microstructure and provided new insights on how the brain changes during the course of the disease.

Introduction

Hydrocephalus (HCP) is a neurological disease characterised by enlarged ventricles resulting in compression of surrounding brain tissues1. Conventional imaging techniques depict ventricle size accurately; however, they are less capable of detecting changes in brain microstructure. The aim of this work was to quantify changes in brain mechanical and diffusion properties during the development of hydrocephalus, using MR Elastography2,3 and Diffusion Tensor Imaging (DTI)4,5. Both imaging techniques are linked to tissue microstructure and, hence, may be fruitful in tracking microstructural changes as well as improving our understanding of neural injury in hydrocephalus and how neural microstructure changes during the course of the disease.

Methods

This study was approved by the local animal care ethics committee. Hydrocephalus was induced in eight female Sprague-Dawley rats (4 weeks old) by injecting 30 μL suspension of kaolin (25% w/v in saline) into the cisterna magna. Six sham-injected rats were used as controls. MR imaging (9.4T, Bruker) was performed 1 day before, and at 3, 7 and 16 days post intervention. T2-weighted MR images were collected to quantify the ventricle size and brain anatomy. MR elastography at 800 Hz was used to measure brain tissue shear modulus (G*). DTI (32 gradient directions) was conducted to study changes in brain tissue microstructure, as reflected in the fractional anisotropy (FA) and mean diffusivity (MD) (Figure 1).

Results

In hydrocephalic rats, the ventricles enlarged significantly as early as 3 days post intervention, but not in controls. This ventricular enlargement was associated with an enlargement of the head of the rat, a decrease in cross-sectional area of the deep gray matter, and a decrease in thickness of the cortical gray matter (Figure 2). These changes in brain anatomy were associated with changes in tissue microstructure. In the deep gray matter, MD remained unchanged over time and FA increased, likely due to tissue compression. In the cortical gray matter, MD increased progressively and FA decreased and these are likely related to the emergence of oedema in the region. Even though both regions underwent different changes in tissue microstructure, G* of both regions was higher in hydrocephalic brains than in controls at 3 day post- injection. This changed in the later stages of hydrocephalus development and regional variations in mechanical properties reflect the alteration of the tissue microstructure and water content, e.g. seven days after hydrocephalus induction, G* in the oedematous cortical gray matter was lower than in controls (Figure 3).

Conclusions:

Changes in the mechanical and diffusion properties of brain tissue followed distinct time courses during the development of hydrocephalus. This study suggests that MR elastography and DTI provide complementary information, and their combination provides additional insight into the status of brain tissue during ventricular enlargement in hydrocephalus than either alone.

Acknowledgements

This study was funded by a project grant from the National Health and Medical Research Council (NHMRC) of Australia. We also acknowledge financial support from the Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London and King’s College Hospital NHS Foundation Trust.

References

1. Del Bigio, M.R., Neuropathological changes caused by hydrocephalus. Acta Neuropathol, 1993. 85(6): p. 573-85.

2. Green, M.A., L.E. Bilston, and R. Sinkus, In vivo brain viscoelastic properties measured by magnetic resonance elastography. NMR Biomed, 2008. 21(7): p. 755-64.

3. Muthupillai, R., et al., Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. Science, 1995. 269(5232): p. 1854-7.

4. Pierpaoli, C., et al., Diffusion tensor MR imaging of the human brain. Radiology, 1996. 201(3): p. 637-48.

5. Yuan, W., et al., Anisotropic diffusion properties in infants with hydrocephalus: a diffusion tensor imaging study. AJNR Am J Neuroradiol, 2009. 30(9): p. 1792-8.

Figures

Figure1: Typical T2 weighted image, shear modulus (G*), mean diffusivity(MD) and fractional anisotropy (FA) maps of a hydrocephalic rat brain.

Figure 2: Cross-sectional areas of the ventricular system (a), whole brain (b), deep gray matter (c) and thickness of the cortical gray matter (d) in hydrocephalic and control rats. P values of the interaction between groups in the RM two-way ANOVA tests and significant Sidak’s comparisons are reported for each graph.

Figure 3: FA, MD and G* measured in the cortical gray matter and deep gray matter of hydrocephalic and control rats. P interaction between groups in the RM two-way ANOVA tests and significant Sidak’s comparisons are reported for FA and MD. Significant t-test are reported for G* because measurements were excluded.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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