Odélia Jacqueline Chitrit1, Qingjia Bao1, Maxime Yon1, and Lucio Frydman1
1Department of Chemical and Biological Physics, Weizmann institute of Science, Rehovot, Israel
Synopsis
DTI is a well-established technique for mapping
brain microstructure. Brain’s microstructural features derive from white matter
and change over the course of maturation; hence methods that can acquire DTI in
utero and immediately post-partum, are of interest. The present study explores
the use of a customized 3D phase-encoded Spatiotemporal Encoding (SPEN) MRI approach
that can be used to overcome the motional and susceptibility challenges arising
in such instances, delivering quality DTI volumetric data at 15.2T. Maps of
ADC, MDD and FA could thus be collected for mice fetal brains in utero, as
well as within the first week post-partum.
Introduction
Brain DTI
is widely used to examine brain development and maturation, and can shed insight on normal and
pathological processes – particularly when combined with mice models [1, 2]. In vivo examinations of these processes in fetal and
neonatal mouse brains could be particularly informative tools in research, yet
these are challenged by susceptibility artifacts, and by the impossibility to rigidly
fix the animal’s head and thereby prevent physiological motions. Adding to
these challenges is the smallness of the targets, which demand achieving high spatial
resolutions for achieving a meaningful structural analysis; this poses an
additional penalty on the already sensitivity-taxed diffusion acquisitions.
We
have recently demonstrated that interleaved 2D SPatiotemporal ENcoding (SPEN)
sequences at 7T and 3D SPEN sequences at 15.2T could deliver quality maps of
fetal and neonatal apparent diffusion coefficients (ADCs), respectively [3, 4]. This study
explores the feasibility of porting these investigations to 3D DTI maps at 15.2
T, of mice brain in utero as well as within the first week of life.
Methods
Animal handling: Pregnant and
newborn C57BL/6 mice were scanned with protocols
approved by a Weizmann Institute IACUC. During imaging, the newborn mice were induced by ~1-2.5%
isoflurane and then kept under ~0.3-1% isoflurane –with the concentrations
adjusted according to the mice’s age– mixed with 20/80 % O2/N2. For the
pregnant mice, isofluorane anesthesia levels were kept at 1-2%. For post-partum
animals respiration was monitored throughout via a pressure sensor and
maintained at 35-60 breaths per minute; a customized bed for these newborn-sized
mice was built to slightly restrain the bodies of these animals within the coil
region. In all cases the body temperature was maintained using a water-based
heating system.
MRI scans and data analysis: 3D DTI SPEN sequences (Figure
1) were written and run within the Paravision 6 software of a 15.2 T Bruker scanner.
Pregnant and newborn animals were studied using body-volume and surface cryocooled transceiver coils, respectively. The sequence included interleaving
along the SPEN axis, phase-encoding along the 3rd dimension, and a final
2D echo-based reacquisition in the readout/SPEN domain for all interleaves and
phase-encodes, to correct for phase distortions arising from minor motions [5]. Acquisitions were also
implemented the spin-echo EPI with double-sampling DTI sequence provided by the
scanner. Experiments were run with the following parameters: TR/TE=1000/30 ms; field
of views ≈ 32x32x10 mm for the pregnant animals, 12x12x6 mm for the
newborns; spatial resolutions ≈ 160µm isotropic for the pregnant animals, 70x70x100
µm for the newborns; 5 interleaved SPEN segments; 8-10 diffusion directions; 2 averages; a single
b-value (≈800-950 mm/s²). Total acquisition times were always restrained to 2 hours.
After denoising the images, the diffusion tensor was then computed on Matlab,
and Fractional Anisotropy (FA), Apparent Diffusivity (ADC) and color-coded Main
Diffusion Direction (MDD) maps highlighting the brain structures, were
computed from the diffusivity tensor.Results
Figure 2 summarizes the kind of diffusion-based
measurements that were obtained on scanning live fetuses in utero. Shown
are b0 (SPEN) images of the dam’s abdomen focusing on a single fetoplacental
unit 15 days into the pregnancy, together with the corresponding FA, ADC and
MDD maps. These images show the targeted unit masked for further clarity. While
these (and similar) data are still under analysis, it shows the lack of
directionality in the faster-diffusing regions of the fetal brain, and the
presence of well-specified directions in white matter regions.
Figure 3 illustrates another aspect of this study,
with b0 and b-weighted 3D SPEN and 3D spin-echo EPI slices extracted
from 3D acquisition on 2-days-old pups, focusing on the animal brain. The
differences in the susceptibility distortions introduced by the ear channels,
the sinuses and the buccal cavity on the images delivered by SPEN and spin-echo
EPI, are evident.
Figure 4 illustrates a series of SPEN-derived
multi-slice images and maps, measured on a 4-days-old mice. Although some minor artifacts are observable
as stripes in these data, quality bo images and detailed ADC, FA and MDD data and make it possible to anatomically
define different layers structures that match well with ex-vivo atlas
information.Conclusions
This
study presents initial high-resolution results of in utero and of neonatal
brain diffusion tensor imaging investigations on mice, recorded at 15.2T. SPEN appears
capable of overcoming susceptibility distortions and other non-idealities that
tend to corrupt these data, leading to high-definition DTI insight about brain development
in vivo. Ongoing research includes analyzing the age maturation
evidenced by these data as reflected by changes in the ADC, MDD and FA
parameters. Methodological efforts are also ongoing to speed up the acquisitions
via compressed sensing methods thereby avoiding motional instabilities, and
incorporate post-acquisition motion-correction algorithms.Acknowledgements
Support from the Minerva
Foundation (Germany), the Israel Science Foundation, and the Clore and
Kimmel Institutes for Magnetic Resonance (Weizmann Institute), are
acknowledged.References
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