Raimo A. Salo1, Ilya Belevich2, Eppu Manninen1, Eija Jokitalo2, Olli Gröhn1, and Alejandra Sierra1
1Department of Neurobiology, A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 2Institute of Biotechnology, University of Helsinki, Helsinki, Finland
Synopsis
Diffusion
tensor imaging (DTI) is a widely used tool, however, the contribution of brain
tissue microstructure into DTI contrast is not fully understood. In this work,
we propose using serial block-face scanning electron microscopy (SBEM) and
Fourier analysis to gain insight into this contribution. We calculated
anisotropy and orientation from SBEM stacks and compare the values to
fractional anisotropy and orientation from in
vivo and ex vivo DTI. This work
will give new insights to the contribution of microstructure to DTI contrast in
normal brain and during pathology.Purpose
Diffusion
tensor imaging (DTI) is a widely used tool to investigate microstructural
properties of biological tissue
in vivo. However, the contribution of
different tissue microstructural components to DTI contrast is poorly
understood. Mainly, the approaches to relate DTI to real tissue microstructure
have used two-dimensional (2D) histological sections, 3D histological analyses
appearing only very recently
1. In this work, we developed a 3D
Fourier analysis to quantify anisotropy and orientation in a 3D stack of serial
block-face scanning electron microscopy (SBEM) images
2. SBEM
produces a 3D visualization of all diffusion barriers in the tissue in high
resolution. Our aim was to analyze 3D tissue microstructure in SBEM, and compare
its contribution to DTI contrast in normal and traumatic brain injury (TBI) rat
brains.
Methods
Severe lateral fluid percussion injury was
performed on male adult Sprague-Dawley rats (n=2). One sham operated rat (n=1)
was used as a control. TBI model was used in order to create robust microstructural
changes in brain tissue.
DTI was acquired in vivo with 7 T Bruker
scanner using segmented spin-echo EPI (TR=2.5 s, TE=30 ms, matrix: [96 64], 14
slices, resolution: 0.22x0.22x0.5 mm, b-value=3000 s/mm2) six months
after injury (Fig. 1A). After the scans, the animals were perfused and scanned ex
vivo with 9.4 T Agilent scanner using segmented spin-echo EPI (TR=1 s,
TE=35 ms, matrix = [128 96 96], resolution: 0.15x0.15x0.15 mm, b-value=2000
s/mm2) (Fig. 1B).
After ex
vivo DTI, brains were sectioned and processed for histology and EM. SBEM
imaging was done on samples taken from the corpus callosum and perilesional cortex
both ipsilaterally and contralaterally to the lesion (Fig. 1C). The imaging was
performed using 0.050x0.050x0.050 μm resolution (4096x2048x1000 voxels) in the
corpus callosum, and 0.046x0.046x0.050 μm resolution in the perilesional cortex
(2048x2048x1400 voxels). Additionally, cortical stacks and one of the stacks in
the corpus callosum were also imaged using higher in-plane resolution of 0.014x0.014x0.050
μm or 0.018x0.018x0.050 μm (1024x1024x1400 voxels) (Fig. 2).
The 3D Fourier analysis is an extension of an
existing 2D analysis, where Fourier transform of an image is used to obtain
information from structure orientation in the image3. For that, we
placed volumes-of-interest (VOIs) of 50x50x50 μm in the low magnification data
sets, and 14x14x20 μm in the high magnification data sets. We computed anisotropy
(AI) and orientation (orthogonal vectors V1, V2, and V3 comparable to DTI
diffusivity orientation vectors) characteristics on each of the VOIs. Different
SBEM stack orientations were taken into account and vectors rotated
accordingly.
Results
The localization of SBEM stacks on DTI images (Fig.
3A, 3B) was done using semi-thin histological sections and anatomical landmarks
in them (Fig. 3C, 3D). A DTI voxel was chosen for each SBEM stack for
comparison of DTI metrics with Fourier derived metrics from EM. AI matched with
in vivo and ex vivo fractional anisotropy (FA) in cortical VOIs (Table 1). In
the corpus callosum, AI was similar to in
vivo FA, whereas ex vivo FA was much
higher (Table 1). Orientations in SBEM stacks and
their respective DTI voxels matched well, with angles between corresponding
vectors in SBEM stacks and DTI ranging from 0.04 to 0.57 radians for ex vivo and 0.10 to 0.53 radians for in vivo (Table 1).
We also compared anisotropy values of high
magnification stack to values in the corresponding low magnification stack in seven
VOIs to investigate the effect of resolution. Change in in-plane resolution of
SBEM stacks did not affect the AI or orientation, the values in high
magnification stacks compared to low magnification stacks were very similar
(Table 2).
Discussion & Conclusions
We were able to demonstrate that 3D Fourier
analysis is able to derive anisotropy and orientation values from 3D SBEM image stacks.
We also showed that anisotropy and orientation of SBEM images reflects the DTI anisotropy
and orientation. Furthermore, our data indicate that 3D Fourier analysis is
very robust to changes in SBEM in-plane resolution.
Anisotropy calculated from SBEM might be affected
by EM contrast, tissue alterations due to fixation and staining procedures,
while FA from DTI might suffer from partial volume effects in vivo and ex vivo, as
well as tissue fixation in ex vivo
DTI. These possible variables affecting the results need further investigation.
In this study, we focused on the corpus
callosum and cortex, however, we will perform 3D Fourier analysis in brain
areas with different microstructural morphologies to interpret the DTI contrast
in more detail in 3D. These results will pave way for more complete understanding
of DTI data and the underlying microstructural tissue in normal brain and during
pathology.
Acknowledgements
No acknowledgement found.References
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A, Roebroeck A, et. al. Front. Neuroanat. 2015; 9:98.
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Janes L, Gold E, Turtzo L., Frank J. Brain 2011; 134, 2248–2260.