Michael Wyss1, Laetitia Vionnet1, Mike Bruegger1,2, Bernd Daeubler3, Lars Kasper1,4, Daniel Nanz5, Marco Piccirelli3, David O. Brunner1, and Klaas P. Pruessmann1
1Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, 2Center of Dental Medicine, University of Zurich, Zurich, Switzerland, 3Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland, 4Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, 5Institute of Diagnostic and Interventional Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
Synopsis
The human
brainstem anatomy is challenging to image in vivo on a single subject basis. The
densely-packed interspersion of nuclei and white matter tracts cannot typically
be imaged with an image contrast strong enough for differentiation of relevant
substructures. We present an MR imaging approach at 7 Tesla that requires two high
resolution MR acquisitions. From the two data sets, four image series with
varying contrast weightings can be derived and used to delineate brainstem anatomy.
The proposed strategy resulted in exceptionally high image quality enabling differentiation
of several brainstem substructures that are hardly discernible in commonly
acquired MR images. Purpose
Based on
previous own work (1),
the main objective of this report was to further improve visualization and
delineation of human brainstem substructures in-vivo.
Methods
The study was approved by the local ethics board. Informed consent
was obtained from six healthy subjects (mean age: 26, range: 22-29, four
female). All experiments were performed on a 7T MRI system (Achieva, Philips Healthcare,
Cleveland, OH, USA) using a 32 channel receive coil (Nova Medical, Wilmington,
DE).
An inversion recovery 3D MPRAGE sequence was acquired: FOV: 230 x
230 mm
2, TR for Inversion: 5 s, TR: 7.9 ms, TE: 3.6 ms, flip angle: 5°, voxel
size: (600μm)
3, 90 slices, 1 signal average, SENSE factor 2.0,
Bandwidth: 202 Hz/pixel, acquisition time: 09:05 minutes. The acquisition delay
was set to 970 ms for gray matter nulling. This scan was repeated four times with
the same settings which resulted in a total scan time of approximately 36:20
minutes. To account for displacement of anatomy, intra-subject rigid body
realignment over the repetitions was performed. Subsequently the average of the
four aligned datasets was calculated.
Second, a 3D T
2*-weighted multi-gradient-echo (6 echoes) sequence
was acquired: FOV: 230 x 230 mm
2, TR: 60 ms, first TE: 5.5 ms, delta TE: 6.0,
flip angle: 18°, voxel size: (600μm)
3, 90 slices, 1 signal average,
SENSE factor 2, Bandwidth: 518 Hz/pixel, acquisition time: 16:26 minutes. The
multi-echo MR signal intensity as a function of the echo time, $$$S(TE)$$$, was fitted pixel wise to the
expression $$$lnS(TE)=lnS(TE=0)-R_2^**TE$$$ in a linear least-squares
polynomial regression. T
2* was obtained by inversion: $$$T_2^*=\frac{1}{R_2^*}$$$. Finally the first four echo images of the T
2* weighted sequences
were combined to a single image according to the concept of multiple-echo data
image combination (MEDIC). The images were visually compared to histology and
post-mortem MR images from the Duvernoy's Atlas (2) and
Olzsewski and Baxter's Cytoarchitecture of the Human Brainstem (3).
Results
Displacements during the MPRAGE acquisitions were minute for in
plane movement with maximal shifts of 0.2 mm (X-axis), 0.3 mm (Y-axis) but
substantial in the Z-axis with maximal shifts of 1.8 mm. Rotation of the head
was below one degree in the jaw angle with mean values of max. rotation of
0.48° ± 0.36°. The rotational changes in the pitch and roll angle were negligible
(Fig. 1). Figure 2 shows the reformatted sections in three orientations of the
isotropic MPRAGE dataset of one subject. Figure 4 illustrates all four contrasts of one
subject at three levels of the brainstem (midbrain, pons, medulla oblongata)
without annotation. Brainstem substructures were
manually outlined by comparing to histology sections from the Duvernoy Atlas, as
illustrated in figure 3 and 5.
The identifiable structures were assigned as follows:
1substantia nigra
2olivary
nucleus,
3superior colliculus,
4inferior colliculus,
5medial
lemniscus,
6mammillary body,
7red nucleus,
8decussation
of the superior cerebellar peduncle,
9medial longitudinal
fasciculus,
10mamillothalamic tract,
11posterior commissure,
12periaequaductul gray matter,
13lateral lemnisucs,
14optic
tract,
15superior cerebellar peduncle,
16ventral pontine
decussation,
17inferior and lateral vestibular nuclei /
spinal trigeminal nuclei and tract,
18pyramidal tract,
19medial
longitudinal fasciculus / tectospinal tract,
20inferior cerebellar peduncle,
21thalamic fasciculus,
22lenticular fasciculus,
23corticospinal tract,
24spinal trigeminal nucleus and
tract,
25raphe nuclei,
26pontine fibers.
Discussion
The isotropic MPRAGE sequence in the gray matter nulling regime
provides an ideal contrast to identify small substructures within pons and
medulla regions. T
2* and R
2* maps, not affected by inhomogeneity of the
transmit field (B
1+)
and
varying receive-coil sensitivity profiles provide a favorable
contrast for structures within the midbrain area. Image combination based on
MEDIC resulted in improved SNR and enhanced T
2* weighting. This facilitates the
visualization of certain brainstem substructures hardly visible on the basis of
MPRAGE/ T
2*/R
2* maps.
Conclusion
Combining a segmented high resolution isotropic 3D MPRAGE in the
gray matter nulling regime with T
2*/R
2* maps and MEDIC calculation resulted in
improved visualization and differentiation of the complex human brainstem
architecture in-vivo. Further effort is needed to adapt such an approach for
standard clinical applications, particular including an optimized measurement
time.
References
1. Wyss M, Bruegger M, Daeubler B, Vionnet ML, Brunner DO, Pruessmann KP. Visualization of human brainstem substructures using gray matter nulling 3D-MPRAGE at 7Tesla. In: Proc. Intl. Soc. Mag. Reson. Med. 22 (2014). Vol. 4632. Milano, Italy; 2014.
2. Naidich TP, Duvernoy HM, Delman BN, Sorensen AG, Kollias SS, Haacke EM. Duvernoy’s Atlas of the Human Brain Stem and Cerebellum. Vienna: Springer Vienna; 2009. http://link.springer.com/10.1007/978-3-211-73971-6
3. Büttner-Ennever JA, Horn AKE, Olszewski J, editors. Olszewski and Baxter’s cytoarchitecture of the human brainstem. 3rd, revised and extended edition. Basel: Karger; 2014. 290 p.