Retinal vascular diseases are a leading cause of blindness and visual disability. The advent of adaptive optics retinal imaging has enabled us to image the retinal vascular at cellular resolutions, but imaging of the vasculature can be difficult due to the complex nature of the images, including features of many other retinal structures, such as the nerve fiber layer, glial and other cells. In this paper we show that varying the size and centration of the confocal aperture of an adaptive optics scanning laser ophthalmoscope (AOSLO) can increase sensitivity to multiply scattered light, especially light forward scattered from the vasculature and erythrocytes. The resulting technique was tested by imaging regions with different retinal tissue reflectivities as well as within the optic nerve head.
Retinal vascular diseases are a leading cause of blindness and visual disability. The advent of adaptive optics retinal imaging has enabled us to image the retinal vascular at cellular resolutions, but imaging of the vasculature can be difficult due to the complex nature of the images, including features of many other retinal structures, such as the nerve fiber layer, glial and other cells. In this paper we show that varying the size and centration of the confocal aperture of an adaptive optics scanning laser ophthalmoscope (AOSLO) can increase sensitivity to multiply scattered light, especially light forward scattered from the vasculature and erythrocytes. The resulting technique was tested by imaging regions with different retinal tissue reflectivities as well as within the optic nerve head.
Entities:
Keywords:
(110.1085) Adaptive imaging; (110.1220) Apertures; (170.1470) Blood or tissue constituent monitoring; (170.4460) Ophthalmic optics and devices
The ability to image the complex retinal microvasculature network is an important
step in advancing our understanding of normal structure and function as well as
pathological changes associated with sight-threatening retinal disease. Retinal
vascular diseases such as diabetes are the major causes of blindness in the
developed world [1,2]. Although compromised retinal vascular structure and retinal
blood flow have been reported in retinal diseases, our ability to image the retinal
vasculature in vivo typically requires the injection of exogenous
dyes such as sodium fluorescein or indocyanine green to enhance the normally low
contrast found in the retinal tissues. This is expensive, time intensive, and
carries significant systemic risks in a small proportion of the population [3,4].
Recently, advances in both direct detection techniques [5-7] and coherent
detection techniques [8-12] have expanded our ability to map the
retinal vasculature, but these techniques use variations over time to perform the
mapping and do not provide an enhanced visualization of the vascular structures
themselves.The larger arteries and veins in human retina are readily visible with low resolution
imaging techniques. The smaller arterioles, capillaries, and venules are much more
difficult to visualize, which can be partially overcome with the use of high
resolution imaging techniques. Recently, the AOSLO has allowed noninvasive
visualization and quantification of the foveal and parafoveal capillary network in
living human retina without the injection of contrast agents, using blood flow as a
surrogate marker for vascular structure [5,6]. Noninvasive imaging of the
peripapillary, papillary, and perifoveal (~5°–10° from the
fovea) [13] microvascular networks remains
challenging however, because of the complexity of the retina, and confocal images
focused on the vasculature include many structures, including the retinal nerve
fiber layer (RNFL) and other non-neural components including glial cells. These
structures can also return a strong backscattering signal to the detector via a
confocal aperture conjugated with the retinal plane and their presence can mask the
appearance of the microvasculature. Combining fluorescein angiography and AOSLO, it
is now possible to visualize the peripapillary microvascular network in macaque
retina [14]. Unfortunately, this imaging
technique has not yet been applied in living human retina due to the invasive nature
and the relatively long imaging session. In this paper, we present the use of an
imaging approach that emphasizes multiple light scattering [15,16] instead of direct
backscatter to improve visualization of the peripapillary, papillary, and perifoveal
microvascular network in living human retina. This is done without the use of
contrast agents, allowing microvascular examination in both normal and diseased
retinas, as frequently as required for clinical or scientific purposes. By
systematically varying the position and/or size of our confocal aperture, we
determined the conditions producing improved imaging of both erythrocytes and the
microvasculature, including the fine structure of arteriole walls.
2. Methods
2.1. Subjects
Six healthy subjects (ages 22–35 yr; 5 males and 1 female) participated in
this study. All subjects received a complete eye examination, including a
subjective refraction and fundus examination. All subjects had best corrected
visual acuity of 20/20 or better. Only one eye of each subject was tested. A
30° × 30° infrared scanning laser ophthalmoscope (SLO)
fundus image was obtained for each subject using the Spectralis OCT (Heidelberg
Engineering, Heidelberg, Germany). Pupil dilation with 1 drop of 1% tropicamide
was performed on all subjects. Informed consent was obtained after a full
explanation of the procedures and consequences of the study. This study protocol
was approved by the Indiana University Review Board and complied with the
requirements of the Declaration of Helsinki.
2.2. AOSLO instrumentation
The Indiana AOSLO used in this experiment has been described in detail previously
[17]. In short the AOSLO uses a
supercontinuum source (Fianium, Inc.) to provide both the wavefront sensing
beacon and the imaging sources. Wavefront sensing was performed at 740 nm, and
imaging at 820 nm, with the wavelengths obtained using interference filters with
bandwidths of 13 nm and 12 nm, respectively (Semrock, Inc). Light returning from
the retina passes through a confocal aperture optically conjugate to the retinal
plane. This confocal aperture was approximately 2× or 10× the Airy
disk diameter as measured in the detector plane. These values are calculated for
the maximal pupil size of our system (8 mm at the eye). In practice not all
subjects when dilated reached this pupil size, and in those cases the Airy disk
diameter would be slightly larger. Based on the theoretical calculation, the
axial resolution was approximately 80 µm for the 2× Airy disk
diameter confocal aperture (small aperture) and 150 µm for the 10×
Airy disk diameter confocal aperture (large aperture). In this experiment, the
vertical scan was programmed to provide full frame images of either 2°
× 1.8° or 1.3° × 1.2° at a frame rate of 28
Hz. Subject’s head movements were stabilized using a chin and head
rest.
2.3. Confocal aperture control
Confocal apertures were mounted on a motorized filter wheel which could be
rotated to switch between apertures. The motorized filter wheel was mounted on
an automated XY positioning stage, allowing translation of the apertures
perpendicular to the direction of beam propagation to an accuracy of better than
1 µm. Thus, the apertures were always focused in the same plane as the
imaging beam, but their position relative to the focal waist of the imaging beam
was varied. Within each imaging session the centered aperture positions were
first recalibrated using a model eye to ensure they were confocal with the
imaging beam. Center coordinates for the apertures were saved to the control
computer. During imaging, changing the aperture size selection caused the
control computer to move the translation stage to bring each aperture into
confocal alignment in less than 5 seconds. The aperture could then be displaced
by the operator while the computer recorded the altered aperture position. The
larger confocal aperture was used to capture more multiply scattered light
[15]. We also systematically
displaced the larger aperture, allowing us to change the relative contributions
of multiply scattered [18] and singly
scattered light.Three aperture manipulations were studied. 1. We investigated the effect of
aperture size by imaging the same location using the small and large apertures
(tested in Subject 1). 2. We varied the large aperture from −8×
Airy disk diameter to +8× Airy disk diameter location from its centered
position. Displacements of −8× Airy disk diameter to +8×
Airy disk diameter with a step size of 2× Airy disk diameter in either
the horizontal or vertical direction were used (tested in Subjects 1, 2 and 3).
In 2 subjects, we also investigated the impact of diagonal offsets on visibility
of obliquely oriented vessel walls (Subjects 1 and 2). 3. Finally, to evaluate
robustness of a single horizontal offset of 8× Airy disk diameter, we
tested imaging across larger regions of retina (tested in Subject 3). In pilot
experiments, displacement of the small confocal aperture was investigated. We
found that the detected intensity dropped very quickly, limiting the
signal-to-noise ratio of the resulting images. Thus, we concentrated on
measurements using displacements of the large aperture and do not report results
for the displaced smaller aperture in this report.
2.4. Light levels and detector gain
All light levels were safe according to the American National Standards Institute
ANSI Z136 [19]. The incident corneal
power level of the infrared light source was set at 120 µW in five
subjects and 70 µW in one subject (Fig.
1
). Because the different conditions returned very different amounts of
light to the detector, we needed to adjust the detector gain across conditions.
In experiments directly comparing light return for all aperture conditions
within a single session (performed in one subject, Fig. 1), we reduced the imaging beam power to 70 µW
at the cornea to avoid saturating the detector for the aligned larger confocal
aperture conditions. In general, for the variable offset experiment we found
that the light return was too small for offsets greater than 8× the Airy
disk diameter, i.e., displacements larger than the radius of the large
aperture.
Fig. 1
The effect of aperture size and confocality on perifoveal
microvasculature imaging. A, Spectralis infrared SLO fundus image of
a 35 year old male. Asterisk indicates the fovea. The black box
indicates the AOSLO imaging region located at ~10° from the
fovea. B and C, AOSLO videos obtained using the small and large
confocal apertures, respectively (Media
1 and
Media
2), fine structures of the nerve
fiber bundles were observed. However, capillaries were masked by the
highly reflective nerve fiber layer. E and F, The corresponding
standard error maps of B and C show a limited visibility of the
capillaries. D, AOSLO video obtained using the large aperture with
offset (6× Airy disk diameter horizontally and 4× Airy
disk diameter vertically) (Media
3), capillaries were clearly
seen due to the blockage of the direct specular reflection from the
RNFL and increased detection of scattered light from the blood
content. G, The standard error map calculated from the pre-truncated
video of D.
The effect of aperture size and confocality on perifoveal
microvasculature imaging. A, Spectralis infrared SLO fundus image of
a 35 year old male. Asterisk indicates the fovea. The black box
indicates the AOSLO imaging region located at ~10° from the
fovea. B and C, AOSLO videos obtained using the small and large
confocal apertures, respectively (Media
1 and
Media
2), fine structures of the nerve
fiber bundles were observed. However, capillaries were masked by the
highly reflective nerve fiber layer. E and F, The corresponding
standard error maps of B and C show a limited visibility of the
capillaries. D, AOSLO video obtained using the large aperture with
offset (6× Airy disk diameter horizontally and 4× Airy
disk diameter vertically) (Media
3), capillaries were clearly
seen due to the blockage of the direct specular reflection from the
RNFL and increased detection of scattered light from the blood
content. G, The standard error map calculated from the pre-truncated
video of D.
2.5. Imaging retinal locations
Comparisons were made for a variety of retinal locations in all 6 subjects, with
each location imaged under the different aperture conditions. Comparisons of the
impact of apertures on the images are based on comparisons within imaging
sessions. To measure the possible interaction of aperture conditions with
retinal structure we chose three template retinal regions, including regions
where the RNFL was thick (e.g., the peripapillary region; the perifoveal region
located 5°–10° from the fovea Fig. 1A), regions where the RNFL was thin and the outer
retinal layer was thick (the foveal region), and finally regions where there is
a great deal of scattering (the optic nerve head and the optic disc
crescent).
2.6. Image acquisition and processing
AOSLO images of the retinal vascular network were collected as short sections of
sequential video frames for all subjects. Typically a single acquisition of 100
frames (<4 seconds) at a single location and aperture condition was
sufficient to collect a data set suitable for further image processing (Due to
the maximum multimedia file size recommended by Biomedical Optics Express, all
videos presented in this manuscript were truncated to less than 4 MB,
approximately 25 frames/video). Imaging sessions were performed in one visit,
which required approximately 30 minutes per subject. All images were corrected
for the sinusoidal distortion created by the resonant galvanometer, and then
aligned offline. Aligned image sequences were used to generate both average
images and calculations of statistics on a pixel by pixel basis [5]. The primary calculated value were pixel
standard error maps [5] where we use the
temporal variation in image brightness arising from the motion of erythrocytes
to detect the location of blood vessels. Montages were created using Adobe
Photoshop CS5 (Adobe Systems Inc., San Jose, CA).
3. Results
3.1. The general effect of aperture size and aperture displacement
The contrast of different retinal structures varied markedly with the varying
aperture conditions as shown in Fig. 1.
For the small confocal aperture, the fine structures of the retinal nerve fiber
bundles, and the superficial layer of capillaries were observed in high contrast
when the appropriate retinal depth was optimally focused (Fig. 1B). For the large confocal apertures, these details
were also visible although at somewhat lower contrast (Fig. 1C). However, with the large confocal aperture, the
image has fewer specular highlights, presumably due to the larger contributions
from scattered light. In general, for the centered confocal conditions, the
deeper capillaries were not readily detected in the presence of strong
contributions from the RNFL (Fig. 1B and
1C; Media 1 and
Media
2). When the large aperture was offset, the
specular component in the images decreased markedly, but blood vessels and
erythrocytes were still readily detectable. However, in the absence of the more
specular features, blood vessels and erythrocytes became a dominant feature of
the image (Fig. 1D;
Media
3). This general effect of displacement of
the large aperture was observed in all subjects in all offset directions.
3.2. The relations of aperture displacement to retinal features
Varying the amount of offset of the large confocal aperture had a systematic
impact on the appearance of retinal structures as shown in Fig. 2
. Here we show sample data for four amounts of vertical displacements of
the large confocal aperture (0, 2×, 6× and 8× the Airy disk
diameter offset), together with pixel standard error maps for a retinal region
containing a mid-sized retinal vein (~50 µm diameter). Figure 2 shows not only the vein, but
several branch venules entering at an angle, and portions of the associated
capillary network. As the large aperture was displaced, there were three major
effects on the images. First, as mentioned, the specular highlights and
non-vascular highlights in the images decreased, and the overall images
consequently became more uniform (Fig.
2A, 2C, 2E, and 2G).
Second, the vascular walls as shown in Fig.
2, became more visible orthogonal to the direction of displacement.
The Michelson contrast of the vessel changed as indicated by the black arrow in
Fig. 2A, with larger displacements
having a higher contrast 62%, 61%, 76%, and 77% for the 0, 2×, 6×
and 8× the Airy disk diameter offset, respectively. This general pattern
of change was seen in all 3 subjects where the displacement was varied
systematically. Third, the erythrocytes within the capillaries, while low in
contrast became quite visible against the uniform background of the retina
(Fig. 2G;
Media
4). This impact on relative visibility of
the erythrocytes is captured in the standard error maps (Fig. 2F, and 2H),
which show the standard error of each pixel over time. For the centered
aperture, the standard error map includes a large contribution from time
variations in the more specular reflection (Fig.
2B), but with increasing displacement the capillary structure
increasingly dominates the standard error maps, until for relatively large
displacements (6× Airy disk diameter for instance), the variation from
blood flow dominates the temporal brightness variations (Fig. 2G; Media 4). This relation
between offset and retinal imaging was consistent in 3 subjects tested with
systematic offsets.
Fig. 2
The effect of varying confocality on retinal microvasculature imaging
using the large aperture. Columns represent increasing amounts of
vertical displacements of the aperture relative to the illumination
spot. A, C, E, and G, Specular reflection from the RNFL decreases
with increasing aperture displacement. Overall the reflectance image
becomes more uniform in contrast and the erythrocytes within the
capillaries become more visible with large displacement
(Media
4). Michelson contrast was
computed across the vessel wall as indicated by the black arrow in A
(see text). B, D, F, and H, The standard error maps calculated from
the pre-truncated videos for the conditions in the first row. Note
the readily visible laminar flow pattern of erythrocytes in
Media
4.
The effect of varying confocality on retinal microvasculature imaging
using the large aperture. Columns represent increasing amounts of
vertical displacements of the aperture relative to the illumination
spot. A, C, E, and G, Specular reflection from the RNFL decreases
with increasing aperture displacement. Overall the reflectance image
becomes more uniform in contrast and the erythrocytes within the
capillaries become more visible with large displacement
(Media
4). Michelson contrast was
computed across the vessel wall as indicated by the black arrow in A
(see text). B, D, F, and H, The standard error maps calculated from
the pre-truncated videos for the conditions in the first row. Note
the readily visible laminar flow pattern of erythrocytes in
Media
4.
3.3. Variations in vascular imaging using offset apertures with retinal
location
The use of a large confocal aperture provided a higher relative contrast for the
motion of erythrocytes at all locations tested. It was possible to visualize the
individual erythrocytes using a large offset aperture. Figure 3
(Media 5) shows an AOSLO
registered video obtained at 1° from the optic nerve head using the large
offset aperture. In general, the impact of offsetting the apertures was largest
where the vasculature was collocated with highly scattering structures such as
the RNFL. One example of this is the visualization of the peripapillary
capillaries which nourish the retinal nerve fiber bundles. Using the offset
apertures it was possible to image the entire peripapillary capillary network as
shown in Fig. 4
for a region above the optic disc subtending approximately 5°
× 5° in a 34 year old male. Here we compare images obtained with
the small confocal (Fig. 4A) and large
offset aperture (Fig. 4B) as well as the
standard error map (Fig. 4C) of the
corresponding reflectance montage in Fig.
4B. Artery, vein, and the disc margin were identified by comparing
the AOSLO images with the spectralis infrared SLO fundus picture. Note that
capillaries running along the retinal nerve fiber bundles with complete
connections between arterioles and venules clearly visualized in both the
reflectance montage and the corresponding contrast enhanced standard error map.
The capillary diameter varied from ~5 µm to 8 µm on the
reflectance montage (Fig. 4B). For these
conditions the AOSLO was focused at the RNFL and thus the montage shows only the
superficial layer of retinal capillaries. This offset aperture technique was
also tested at the foveal region, however, no noticeable improvement in
capillary imaging was measured, except the appearance of the shadowing
orthogonal to the offset direction was observed in this region with a thin
RNFL.
Fig. 3
A, Spectralis infrared SLO fundus image of a 24 year old male. The
black box indicates the AOSLO imaging region located at 1°
from the optic disc. B, AOSLO registered video obtained using a
large offset aperture with 6× Airy disk diameter
horizontally. Individual erythrocytes moving through the capillaries
were clearly visualized as indicated by the black arrows
(Media
5). C, The standard error map
calculated from the pre-truncated Media
5 shows the peripapillary
capillary network.
Fig. 4
5° × 5° montages obtained from a location
superior to the optic nerve head in a 34 year old male showing, A,
peripapillary RNFL obtained using small confocal aperture and, B,
peripapillary capillary network obtained using a large offset
aperture at the same region. C, The standard error map calculated
from the data shown as an average in B shows the peripapillary
capillary network. Arrow indicates the optic disc margin. Artery and
vein are labeled as “A” and “V’,
respectively. Scale bars = 300 µm.
A, Spectralis infrared SLO fundus image of a 24 year old male. The
black box indicates the AOSLO imaging region located at 1°
from the optic disc. B, AOSLO registered video obtained using a
large offset aperture with 6× Airy disk diameter
horizontally. Individual erythrocytes moving through the capillaries
were clearly visualized as indicated by the black arrows
(Media
5). C, The standard error map
calculated from the pre-truncated Media
5 shows the peripapillary
capillary network.5° × 5° montages obtained from a location
superior to the optic nerve head in a 34 year old male showing, A,
peripapillary RNFL obtained using small confocal aperture and, B,
peripapillary capillary network obtained using a large offset
aperture at the same region. C, The standard error map calculated
from the data shown as an average in B shows the peripapillary
capillary network. Arrow indicates the optic disc margin. Artery and
vein are labeled as “A” and “V’,
respectively. Scale bars = 300 µm.
3.4. The role of deeper retinal structure on visualization of the vasculature
using offset apertures
The visibility of the erythrocytes and capillary vasculature was increased in
regions with a strong scattering return from below the plane of focus, such as
over the lamina cribrosa at the optic disc and at the optic disc crescent. The
ability of the offset apertures to enhance visibility of the erythrocytes in the
presence of light returning from the lamina cribrosa is shown in Fig. 5
(Media 6), where the
microvasculature at the center of the optic disc was clearly visible using an
8× Airy disk diameter horizontal offset. The effect was especially
striking when imaging at a region with peripapillary atrophy (e.g., the optic
disc crescent), where there is a strong scattering source (the peripapillary
atrophy) below the vascular layer. Figure
6
(Media 7) shows the
complete capillary network above an optic disc crescent using an offset aperture
technique (horizontal offset = 6× Airy disk diameter). Here the contrast
is higher over regions with a highly scattering region below them (the bright
vertical stripe in the reflectance image, Fig.
6B). This effect was seen in all subjects that had a visible crescent
of peripapillary atrophy using conventional imaging and has implications for
understanding the mechanism for enhancing vascular visibility using offset
apertures (see Discussion).
Fig. 5
A, Spectralis infrared SLO fundus image of a 22 year old male. The
black box indicates the AOLSO imaging region located at the center
of the disc. B, AOSLO registered video obtained at indicated region
(Media
6). C, The standard error map
calculated from the pre-truncated Media
6 showing the higher
detectability of the flow over the lamina cribrosa.
Fig. 6
A, Spectralis infrared SLO fundus image of a 25 year old male. The
black box indicates the AOSLO imaging region located at the optic
disc crescent B, AOSLO video obtained at indicated region
(Media
7), blood vessels with various
diameters were clearly visible. C, The standard error map calculated
from the pre-truncated Media
7 showing the higher
detectability of the flow over regions with highly scattering tissue
below them.
A, Spectralis infrared SLO fundus image of a 22 year old male. The
black box indicates the AOLSO imaging region located at the center
of the disc. B, AOSLO registered video obtained at indicated region
(Media
6). C, The standard error map
calculated from the pre-truncated Media
6 showing the higher
detectability of the flow over the lamina cribrosa.A, Spectralis infrared SLO fundus image of a 25 year old male. The
black box indicates the AOSLO imaging region located at the optic
disc crescent B, AOSLO video obtained at indicated region
(Media
7), blood vessels with various
diameters were clearly visible. C, The standard error map calculated
from the pre-truncated Media
7 showing the higher
detectability of the flow over regions with highly scattering tissue
below them.
3.5. The effect of aperture offset on imaging the vascular fine
structure
The use of an aperture offset also enhanced the visibility of the vessel walls
(Fig. 7
). This effect was especially prominent in examining the walls of the
retinal arterioles. Improved visibility of the vessel walls was achieved by
offsetting the aperture orthogonal to the side of the vessel wall. This effect
was seen in all subjects. Figure 7A shows
the inner and outer vessel wall linings in a peripapillary artery with a lumen
diameter of ~110 µm located at 5° from the optic nerve head in a
35 year old male. The thickness of the vessel wall varies from 12 µm to
18 µm along the artery and the cellular structure of the vascular wall is
readily visible. In general, three layers of the vessel wall were observed
distinctively. Figure 7B shows an
arteriole with 40 µm lumen diameter located at the optic disc crescent in
a 26 year old female, again allowing the wall of the arteriole to be
resolved.
Fig. 7
Fine structure of peripapillary arterioles. A, A peripapillary
arteriole located at 5° from the disc with a lumen diameter
of 110 µm (Media
8) obtained with a displaced
larger confocal aperture. White arrows indicate the three layers of
the vessel wall. 1: Tunica adventitia; 2: Tunica media (smooth
muscle); 3: Tunica intima. The thickness of the vessel wall varies
from 12 to 18 µm along the vessel. 4: the lumen diameter of
the peripapillary artery containing moving cells
(Media
8). B, An arteriole with a 40
µm lumen diameter located at the optic disc crescent in a
different subject (Media
9). The thickness of the vessel
wall is 10 µm (black arrows) and 4.5 µm (white
arrowheads) in the arteriole and its daughter branch,
respectively.
Fine structure of peripapillary arterioles. A, A peripapillary
arteriole located at 5° from the disc with a lumen diameter
of 110 µm (Media
8) obtained with a displaced
larger confocal aperture. White arrows indicate the three layers of
the vessel wall. 1: Tunica adventitia; 2: Tunica media (smooth
muscle); 3: Tunica intima. The thickness of the vessel wall varies
from 12 to 18 µm along the vessel. 4: the lumen diameter of
the peripapillary artery containing moving cells
(Media
8). B, An arteriole with a 40
µm lumen diameter located at the optic disc crescent in a
different subject (Media
9). The thickness of the vessel
wall is 10 µm (black arrows) and 4.5 µm (white
arrowheads) in the arteriole and its daughter branch,
respectively.
4. Discussion
Our results indicate that some features of the retinal vascular network can be imaged
better using a large displaced aperture than with a centered, small confocal
aperture. The use of an offset aperture allows direct assessment of the structural
and functional properties of the microvasculature in living human retina.
Specifically, this approach allows us to routinely examine the substructure of the
arteriole wall (Fig. 7) and to observe single
file flow of erythrocytes (Media 4–8) in blood
vessels, ranging in size from the largest peripapillary vessels to the smallest
capillaries. This approach is quite different from most approaches which use singly
backscattered light to visualize the vasculature.
4.1. Comparisons of confocal and offset aperture imaging mode
The results of this study indicate that the imaging performance of an adaptive
optics scanning laser ophthalmoscope can be tuned for imaging different types of
retinal structures. While others have shown this is possible for cone imaging by
selecting the light distribution in the pupil of the eye [20], the current study has concentrated on the use of
controlling both the size and position of retinal conjugate apertures to select
singly scattered and multiply scattered light. Detection of multiply scattered
light has been shown to be valuable with the use of both aperture [15], polarization [21,22] and
illuminant position [16] for traditional
retinal imaging systems. Using an AOSLO we have also shown [23] that increasing aperture size can
improve localization of subretinal changes. In the present study, we
investigated the role of multiply scattered light by systematically changing the
confocal aperture size and position, with an emphasis on structural imaging of
the retinal microvasculture. This use of imaging using multiply scattered light
improves the visibility of the microvasculature and erythrocytes through two
mechanisms. The first, as shown in Fig.
1, is to decrease the relative contribution of structures that produce
highly specular light returns such as the RNFL. The second appears to be
capitalizing on the forward scattering of erythrocytes to enhance visualization
relative to other retinal structures [24]. The importance of forward scattering is supported by our finding
that highly scattering regions below the blood vessels increases contrast of
erythrocytes for the offset aperture conditions (Fig. 3). Thus we posit a model that is shown schematically in Fig. 8
. In the typical confocal imaging mode (Fig. 8A), while direct specular reflection from the RNFL (heavy
arrows) and vasculature, returns back to the detector via the confocal aperture,
the highly backscattering nature of the RNFL or other structures, dominates the
resulting image. However, when the confocal aperture is displaced (Fig. 8B), we mask singly scattering light
over most of the depth of focus of the system. The forward scattering from the
focal volume however can be detected if it scatters a second (or third or more)
times, such that it is returned within the focal volume of the system. While
structures outside of the focal volume could also generate multiply scattered
light that ultimately reaches the detector, it is only items that are near the
focal point of the illuminating beam that will generate high spatial frequencies
in the image. Thus, when focused at the level of the vasculature, the offset
apertures provide excellent images of the retinal vasculature and
erythrocytes.
Fig. 8
Schematic diagram depicting the effect of offsetting the confocal
aperture on the visibility of the capillaries. (A) A centered large
aperture (10× the Airy disk diameter). Specular reflection
from the RNFL (heavy arrows) decreases the contrast of the
capillary. (B) Offset imaging mode with the confocal aperture
displaced laterally with 1.5× radius. Specular reflection
from the RNFL is blocked by the offset aperture, allowing more
multiple scattered light (dashed arrows) to return back to the
detector.
Schematic diagram depicting the effect of offsetting the confocal
aperture on the visibility of the capillaries. (A) A centered large
aperture (10× the Airy disk diameter). Specular reflection
from the RNFL (heavy arrows) decreases the contrast of the
capillary. (B) Offset imaging mode with the confocal aperture
displaced laterally with 1.5× radius. Specular reflection
from the RNFL is blocked by the offset aperture, allowing more
multiple scattered light (dashed arrows) to return back to the
detector.The improvement of vascular contrast with multiply scattered light suggests that
some of the same advantage could be obtained using a flood-illuminated AO
system. Since such systems [25,26] can be simpler, since they do not
require scanning and descanning, this approach might be simpler. It is not clear
though that a flood system will provide the full benefits we describe for two
reasons. First, since there is no aperture in a flood illuminated system, the
possibility of decreasing a strong specular backscatter component is not
present, although perhaps manipulation of pupil plane apertures could provide
some of the benefit. Second, the small scanning beam provides a temporal
separation of the scatter field, that is, for each location of the scanned beam,
we are assigning the wide field of forward scattered light to that location,
whereas in a flood illuminated system, all locations in the retina can
contribute forward scattered light to a large area of the final image. In
support of this advantage is the fact that to obtain our results required us to
focus on the blood vessels themselves. Nevertheless, it is not clear that some
of the advantages of the large aperture are not available to a flood illuminated
system.
4.2. Imaging the peripapillary and papillary microvasculature
The offset aperture technique for vascular imaging is applicable to any retinal
region within 20 degree of the fovea, including the peripapillary and papillary
regions. Because it can be used to generate vascular maps with very high
resolution, we can obtain images all the way to the optics disc or even within
the disc. For instance, Fig. 4C shows the
superficial layer of peripapillary capillaries running radially from the optic
disc and parallel to the retinal nerve fiber bundles. This distinctive
appearance is in agreement with previous histological studies in human eyes
[27]. The entire superficial layer of
the peripapillary capillary plexus is embedded within the RNFL. The ability of
the offset apertures to enhance visibility of the erythrocytes in the presence
of high reflection from other retinal structures was especially striking when
imaging within the optic nerve head and optic disc crescent (Figs. 5 and 6). In this region confocal images are dominated by the strong
scattering from the lamina cribrosa and the sclera, and larger confocal aperture
images are dominated by scattering within the tissue (resulting in the classic
“white” appearance of the optic nerve head and the optic disc
crescent for flood illuminated imaging). Using an offset aperture however
allowed us to select against the bright return and observe blood flow within the
microvasculature located at the optic nerve head and optic disc crescent, as
well as to map out the entire vascular network of the peripapillary and
papillary regions (Fig. 5). These
findings also support the forward scattering property of the blood content,
particularly the erythrocytes.
4.3. Imaging the vascular fine structure
We also showed that the offset aperture technique allowed superb imaging of the
vascular wall (Fig. 7). Consistent with
previous histological measurements of vessel wall thickness in human retina
[28], we measured that the vessel
wall thickness was ~12–18 µm in an arteriole with ~110 µm
luminal diameter. However, we were not able to resolve the venous vessel wall
due to its relatively thin layer of smooth muscle (tunica media).
4.4. Future studies
This use of large offset apertures in an AOSLO, with or without standard error
mapping has improved our ability to measure the retinal vasculature. A number of
extensions of this technology are possible particularly with regard to normal
retinal vascular physiology. The simplest would be to use an annular aperture.
This would simplify the experiments and possibly provide enhanced vascular
imaging for all vessel orientations simultaneously. An additional enhancement is
to use the ability to visualize single file flow of erythrocytes to make
accurate measurements of vessel diameters and simultaneously of plasma
velocities using erythrocyte velocity as a surrogate for plasma flow velocity
[29]. Accurate measurements will
allow establishment of age, sex, and race related norms of both static and
dynamic vascular properties. Additionally similar measurements and imaging can
be done on virtually any retinal vascular pathology with special reference to
the common conditions of hypertension, diabetes [30], and macular degeneration. Similarly, it is also likely that
progressive changes occur in the papillary [31] and peripapillary [32,33] capillary network
during the development of glaucoma. We anticipate that the freedom to do imaging
of the retinal vasculature on a capillary level in the absence of the risks and
burdens of fluorescein and with higher resolutions will yield considerable new
scientifically and therapeutically valuable data.
5. Conclusions
In the present study, we introduce a direct and noninvasive imaging technique for
imaging the microvasculature of the peripapillary, papillary, and perifoveal retina
using offset apertures in an AOSLO. With this technique, we are able to demonstrate
that by systematically altering the offset of a large confocal aperture, the flow
through retinal vessels of various sizes can be visualized as well as the cross
sectional structure of the arteriolar wall. Future studies of retinal capillary
density, capillary blood flow analysis, blood vessel wall thickness and lumen
diameter measurement are now possible using this imaging approach. While the current
study used many frames of video at each location, we have found that acceptable
capillary maps can be obtained with about 0.5 seconds per location.
Authors: R Daniel Ferguson; Zhangyi Zhong; Daniel X Hammer; Mircea Mujat; Ankit H Patel; Cong Deng; Weiyao Zou; Stephen A Burns Journal: J Opt Soc Am A Opt Image Sci Vis Date: 2010-11-01 Impact factor: 2.129
Authors: Anna Szkulmowska; Maciej Szkulmowski; Daniel Szlag; Andrzej Kowalczyk; Maciej Wojtkowski Journal: Opt Express Date: 2009-06-22 Impact factor: 3.894
Authors: Stefan Zotter; Michael Pircher; Teresa Torzicky; Marco Bonesi; Erich Götzinger; Rainer A Leitgeb; Christoph K Hitzenberger Journal: Opt Express Date: 2011-01-17 Impact factor: 3.894
Authors: Dae Yu Kim; Jeff Fingler; John S Werner; Daniel M Schwartz; Scott E Fraser; Robert J Zawadzki Journal: Biomed Opt Express Date: 2011-05-11 Impact factor: 3.732
Authors: Stephen A Burns; Ann E Elsner; Toco Y Chui; Dean A Vannasdale; Christopher A Clark; Thomas J Gast; Victor E Malinovsky; Anh-Danh T Phan Journal: Biomed Opt Express Date: 2014-02-27 Impact factor: 3.732
Authors: Franz Felberer; Matthias Rechenmacher; Richard Haindl; Bernhard Baumann; Christoph K Hitzenberger; Michael Pircher Journal: Biomed Opt Express Date: 2015-03-23 Impact factor: 3.732
Authors: Ethan A Rossi; Charles E Granger; Robin Sharma; Qiang Yang; Kenichi Saito; Christina Schwarz; Sarah Walters; Koji Nozato; Jie Zhang; Tomoaki Kawakami; William Fischer; Lisa R Latchney; Jennifer J Hunter; Mina M Chung; David R Williams Journal: Proc Natl Acad Sci U S A Date: 2017-01-03 Impact factor: 11.205