Eric R. Muir1
1Radiology, Stony Brook University, Stony Brook, NY, United States
Synopsis
The
retina has highly structured laminar organization, with two separate blood
supplies, the retinal and the choroidal blood flow layers. Retinal MRI has
generally used a single thick 2D slice. Extension to 3D retinal MRI is
difficult due to the curvature of the eye and limited SNR at the needed high
resolution. A new acquisition strategy for MRI of curved objects was developed,
in which high-resolution is acquired perpendicular to the retina but with low-resolution
tangent to the retina. This approach gave significant gains in SNR and provided
laminar resolution of the retinal and choroidal blood flow in 3D.
Introduction
The retina has a
highly-structured laminar neuronal and vascular organization, with two separate
blood supplies with substantial differences, the retinal and the choroidal vessels.
Choroidal blood flow (ChBF) is many times greater than retinal BF (RBF). Different
retinal diseases likely affect the retinal and choroidal circulations
differently.
MRI application to the thin retina
is difficult due to the high resolution needed. Retinal MRI has generally used
a single thick 2D slice through the central retina, with the ability to
distinguish retinal BF and choroidal BF having been demonstrated (1). The thick
slice provides relatively high SNR. However, extension to 3D MRI of the retina has
remained difficult. Additional thick slices could be acquired, but there will
be substantial through-plane blurring due to the retina curving through
non-central slices, blurring the retina too much to be useful. Thus, high
resolution is also needed in the 3rd dimension (~70-80µm in all 3 dimensions for
rodents), but adequately increasing the slice resolution will dramatically
reduce SNR, which is already limited for 2D retinal MRI. The goal of this study
was to overcome this limitation with a new acquisition strategy for MRI of
curved objects with high resolution perpendicular to the surface of the
object.Methods
A curved object
imaging (COI) acquisition approach was developed, in which high-resolution is
acquired in radial orientations perpendicular to the curved retina, while low
resolution (thus improving SNR) is acquired in orientations tangent to the
retina. To do this, k-space is acquired in a wedge shape of ~90-110o,
providing high laminar resolution over the majority of the retina. Several
potential trajectories could be used for COI acquisition. We used a modified 3D
PROPELLER readout, where the number of blades are reduced to sample a
bowtie-like region of k-space (Fig 1A).
MRI
was performed on a 7T scanner (Bruker) with 1000mT/m gradient. COI MRI was
acquired using 3D RARE to encode each blade for PROPELLER. Studies were
performed on C57BL/6 mice (n=2, male) anesthetized with isoflurane. A
small surface eye coil (diameter=6 mm) was used for imaging. BF MRI used continuous
arterial spin labeling with a label coil placed at the heart with label
duration=2.55s and post label delay=350ms (1,2). COI MRI acquired 13 blades spanning 95o
of the retina, with TR=3s, effective TE=4ms, FOV=7x7x7mm, matrix for each
blade=96x16x16, 8 segments per blade, and
52min scan, providing perpendicular resolution of 73µm and a minimal resolution
of 345µm. For comparison, conventional Cartesian acquisition was acquired using
3D EPI with TR=3s, TE=7.1ms, FOV=6x6x3.2 mm, matrix=112x112x16, 2 in-plane
segments, and 48min scan. BF
was calculated in ml/g/min, and the retina was flattened to analyze the retinal
and choroidal BF (1).Results
Fig 1 shows COI of a
curved sample; COI and standard Cartesian acquisitions (3D RARE
with comparable parameters and istropic 3D resolution of 0.34mm) were acquired with both linear
and centric phase encoding, with relative SNR’s (normalized
by square root of the volume repetition time) of: linear-Cartesian=1, linear-COI=3.8,
centric-Cartesian=2.0, and centric-COI=8.4. COI had about 4x gain of SNR COI
relative to Cartesian while maintaining high perpendicular resolution over the 95o
wedges. Fig 2 shows similar SNR studies from simulations of COI and Cartesian
isotropic acquisitions, giving similar SNR gains of 3-4x for COI.
Fig 3 shows 3D COI images of a mouse
eye, demonstrating 3D layer-specific BF of the entire
retina. For comparison, Fig 4 shows similar BF images of a mouse eye using
conventional 3D Cartesian acquisition. COI showed good resolution of both the RBF and ChBF across the majority of the retina in all dimensions,
while Cartesian had good laminar resolution only in the in-plane dimension and
only for about two central slices. For
Cartesian, in the slice direction, RBF could only be distinguished over a small
central region due to the lower resolution. The retinal surface was flattened
from COI data, to give en-face views of BF taken from depths corresponding to
the RBF and the ChBF layers (Fig 5). Blood flow as a radial distance from the
optic nerve was plotted for each retinal quadrant, showing a large drop in ChBF in
the periphery, but a slow decline of RBF towards the periphery. Discussion and Conclusion
This study
demonstrates a novel approach to quantitatively image the retinal and choroidal blood flow in 3D with laminar resolution using MRI. The COI MRI method developed herein
provided 3D retinal MRI with improved SNR and laminar resolution compared to conventional 3D Cartesian acquisitions. ChBF was many times larger
than RBF, consistent with previous reports by 2D MRI (1) or by terminal
methods (autoradiography and microspheres) in large animals (3,4).
Methods to quantitatively measure retinal and choroidal BF with depth resolution
and across the entire retina are lacking. Our MRI approach can provide
important blood flow data that is not depth limited and is non-invasive. This method
could be useful to study models of retinal disease.Acknowledgements
No acknowledgement found.References
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MRI of retinal and choroidal blood flow with laminar resolution. NMR Biomed
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A. Blood flow and glucose consumption in the optic nerve, retina and brain:
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Effects of raised intraocular pressure on retinal, prelaminar, laminar, and
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